TABLE OF CONTENTS
WELCOME MESSAGE 4
MISSION 5
OBJECTIVES 5
HISTORY 5
APPROVALS 5
FACILITY AND EQUIPMENT 6
TUITION AND FEES 7
TUITION PAYMENT OPTIONS FOR WEB & DATA SCIENCE 7
TUITION PAYMENT OPTIONS FOR ENTERPRISE BACKEND 7
TUITION RESPONSIBILITY 8
HOLIDAYS 8
ENROLLMENT PERIODS 9
PROGRAM TERM DATES FOR 2021/2022/2023 9
FLEX POLICY 9
CLASSROOM DAYS / HOURS 10
ADMINISTRATION DAYS / HOURS 10
COURSE TIME HOURS 10
ADMISSIONS 10
ELIGIBILITY 10
PROCEDURE 10
ENROLLMENT PROCESSES 11
INTERNATIONAL STUDENTS AND ENGLISH LANGUAGE SERVICES 11
FOREIGN TRANSCRIPT EVALUATION 11
READMISSION POLIC Y 12
NOTICE CONCERNING NON-ACCREDITATION, CREDIT NON-TRANSFERABILITY 1 2
REFUND POLICY 12
THE STUDENT’S RIGHT TO CANCEL 13
LAMBDA SCHOOL’S RIGHT TO WITHDRAW OR TERMINATE 1 2
HOW TO WITHDRAW FROM THE PROGRAM AND CANCEL YOUR ENROLLMENT 1 3
HOW REFUNDS WORK 13
TUITION PRORATION FOR TUITION OWED AFTER WITHDRAWAL 1 4
TUITION REFUND CALCULATOR CHART 1 4
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WITHDRAWAL 1 5
ACADEMIC POLICIES 15
GRADING SYSTEM 15
SATISFACTORY PROGRESS 16
ACADEMIC PROBATION 17
REMEDIAL WORK AND REPEATED COURSES 17
ATTENDANCE 18
TARDINESS AND EARLY DEPARTURES 18
MAKE-UP EXAMS 19
MAKE-UP WORK 19
LEAVE OF ABSENCE POLICY 19
STUDENT CONDUCT EXPECTATIONS 19
GRADUATION REQUIREMENTS 31
STUDENT SERVICES 31
LAMBDA LAUNCH “ORIENTATION” 31
ACADEMIC ADVISING 31
LEARNING RESOURCE 32
ZOOM 32
SLACK 32
CANVAS 33
STUDENT RECORDS 33
EMPLOYMENT ASSISTANCE 33
NO GUARANTEE OF EMPLOYMENT 33
GRIEVANCE PROCEDURE 33
CATALOG CHANGES 34
PROGRAMS 34
FULL STACK WEB DEVELOPMENT 34
DATA SCIENCE 40
ENTERPRISE BACKEND DEVELOPMENT 47
MANAGEMENT AND FACULTY 54
FACULTY 54
GEORGIA RESIDENTS 59
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WELCOME MESSAGE
Welcome to Lambda School, and congratulations on taking the first step toward a
high-paying career in tech.
The most important thing we tell new Lambda School students is: commit now to
hustling harder than you ever have before.
You have a critical opportunity to develop your skills between now and graduation,
and there’s a good chance that the next several months will swing the trajectory of
your career more than any others. Your time at Lambda School will be some of the
most intense, impactful months of your life – now is the time to put your head down
and work, and every instructor, career coach, and staff member will do everything
possible to help you succeed. We’re so excited that you’re here.
Let’s get started.
Sincerely,
Austen Allred,
Co-Founder & CEO
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MISSION
The mission of Lambda School is to unlock potential, regardless of circumstance.
That means working with untapped or underutilized talent, and training that talent
for in-demand careers in the technology fields including web development,
engineering, and data science.
Lambda School is committed to making the field of technology more accessible, and
will provide an educational environment that respects the values of individual
students and their intellectual, cultural, and social development. It is Lambda
School’s intention to:
● Foster among students, faculty, and staff a commitment to life-long learning.
● Provide opportunities for students to exercise a positive influence and be
productive in society.
● Prepare students for entry-level employment in technology fields including
web development, software engineering and data science.
OBJECTIVES
In order to fulfill its mission, Lambda is committed to the following objectives for its
educational and training programs:
● To provide the basic and prerequisite knowledge to specialize in the field of
technology.
● To educate students to become well-qualified professionals in their chosen
field.
● To provide practical training to enhance students’ capabilities in their chosen
field.
HISTORY
Founded in 2017, Lambda School (“Lambda”) is a unique model of higher education
in which the school invests in its students, instead of the other way around. Lambda
requires no upfront tuition. Tuition payments do not begin until students find a job
providing an annual salary of at least $50,000. This commitment from Lambda
School supports its mission of finding untapped or underutilized talent and training
that talent for in-demand jobs in technology. The school has raised funds previously
from investors including Y Combinator, GV, Bedrock Capital, and Tandem.
APPROVALS
Lambda School is approved to operate by California’s Bureau for Private
Postsecondary Education, Georgia’s Nonpublic Postsecondary Commission, District
of Columbia’s Higher Education Licensure Commission, the Texas Workforce
Commission - Career Schools and Colleges, Michigan’s Department of Labor and
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Economic Opportunity - Workforce development-Postsecondary Schools, and Utah’s
Department of Commerce.
A. Lambda School is REGISTERED UNDER THE UTAH POSTSECONDARY
PROPRIETARY SCHOOL ACT (Title 13, Chapter 34, Utah Code).
B. Registration under the Utah Postsecondary Proprietary School Act does not
mean that the State of Utah supervises, recommends, nor accredits the
institution. It is the student’s responsibility to determine whether credits,
degrees, or certificates from the institution will transfer to other institutions or
meet employers’ training requirements. This may be done by calling the
prospective school or employer.
C. The institution is not accredited by a regional or national accrediting agency
recognized by the United States Department of Education.
FACILITY AND EQUIPMENT
Lambda offers training online in a live virtual classroom. Students complete distance
education coursework at a location they determine.
System Requirements
● Minimum
o 1.6 GHz Processor
o 4 GB RAM
o 120 GB Hard Drive
o Web Cam
o Microphone
o Consistent access to internet, e.g., Wi-Fi
● Recommended
o 2 GHz Processor
o 16 GB RAM
o 256 GB Hard Drive (preferably solid state)
Recommended operating systems (in descending order): macOS, Windows 10 Pro,
Ubuntu.
Students using other versions of Windows will likely encounter major issues with
virtualization tools that are required for completing coursework. Instructors will not
be able to provide technical support in these cases. For this reason, Lambda
recommends
only
Windows 10 Pro for PC users.
Chromebooks are
not
supported, as coursework involves installing and running
software locally.
Please refer to the current Student Guide for full details on system requirements.
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TUITION AND FEES
* * Cost of total charges for a period of attendance and estimated schedule of total
charges for the entire educational program.
TUITION PAYMENT OPTIONS FOR WEB & DATA SCIENCE
You have options for how you pay for your Lambda School program:
● A Lambda School Income Share Agreement (ISA):
○ Tuition is your ISA’s cap (i.e., the maximum amount you may owe under
the ISA).
○ Prior to signing an ISA, you will be provided detailed disclosures and
additional information about payment, deferrals, and other important
items. Visit our ISA Frequently Asked Questions anytime for more
information.
● Pay tuition in one sum:
○ You owe the full tuition amount after you sign the Enrollment
Agreement and before your first day of instruction. (Not available to UT
residents).
● 3 Part Installment Plan:
○ You owe the first installment of $10,000 after you sign the Enrollment
Agreement, the second installment of $10,000 is due by the first day of
sprint 7, and the third installment of $10,000 is due by the first day of
sprint 13. (Not available to UT residents).
● 3 Part Installment Plan for UTAH RESIDENTS:
○ You owe the first installment of $10,000 after you sign the Enrollment
Agreement, the second installment of $10,000 is due by the first day of
sprint 7, and the third installment of $10,000 is due by the first day of
sprint 16.
TUITION PAYMENT OPTIONS FOR ENTERPRISE BACKEND
You have options for how you pay for your Lambda School program:
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Program
Registration Fee
Non-Refundable
Books /
Supply Fees
Any other
expenses
Tuition
**Total Cost
Full Stack Web
Development (Full - Time)
$0
$0
$0
$30,000
$30,000
Full Stack Web
Development (Part - Time)
$0
$0
$0
$30,000
$30,000
Data Science (Full - Time)
$0
$0
$0
$30,000
$30,000
Data Science (Part - Time)
$0
$0
$0
$30,000
$30,000
Enterprise Backend
Development
$0
$0
$0
$30,000
$30,000
● A Lambda School Income Share Agreement (ISA):
○ Tuition is your ISA’s cap (i.e., the maximum amount you may owe under
the ISA).
○ Prior to signing an ISA, you will be provided detailed disclosures and
additional information about payment, deferrals, and other important
items. Visit our ISA Frequently Asked Questions anytime for more
information.
● Pay tuition in one sum:
○ You owe the full tuition amount after you sign the Enrollment
Agreement and before your first day of instruction. (Not available to UT
residents).
● 3 Part Installment Plan:
○ You owe the first installment of $10,000 after you sign the Enrollment
Agreement, the second installment of $10,000 is due by the first day of
sprint 10, and the third installment of $10,000 is due by the first day of
sprint 19. (Not available to UT residents).
● 3 Part Installment Plan for UTAH RESIDENTS:
○ You owe the first installment of $10,000 after you sign the Enrollment
Agreement, the second installment of $10,000 is due by the first day of
sprint 10, and the third installment of $10,000 is due by the first day of
sprint 25.
TUITION RESPONSIBILITY
Students are responsible for paying the full tuition amount listed above. If a student
obtains a loan, financing, and/or other payment arrangement including an income share
agreement (ISA), that student is responsible for repaying the amount owed under
agreement, or loan amount plus any interest or the amount owed, including under my
ISA, as applicable, in each case less the amount of any applicable refund if that student
withdraws or is withdrawn. Once a student enrolls, the tuition amount will not and
cannot be changed based on any factor other than Sprints ended as noted in this Catalog.
Tuition installment payments are due before the start of the first day of each
respective Sprint. Failure to make required tuition payments, on any plan, may result
in academic suspension and/or withdrawal.
HOLIDAYS
Lambda observes the following holidays and week-long breaks, as applicable:
Monday Holidays (US only)
MLK, Jr. – third Monday of January
Memorial Day – last Monday of May
Labor Day – first Monday in September
Week long breaks
Summer Break/Hackathon – 1st week of July
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Thanksgiving Week Break – last week of Nov (4th Thursday)
Winter Break/Hackathon – Two weeks (dates announced)
ENROLLMENT PERIODS
Enrollment periods begin three months prior to the first day of classes for each
program term and end one week prior to the first day of classes.
PROGRAM TERM DATES FOR 2021 / 2022 / 2023
FLEX POLICY
Lambda School’s Flex program allows students to repeat content that they have not
yet mastered at no additional cost. Learning at Lambda School follows a
mastery-based progression model, and students may need to repeat portions of class
to ensure students have the skills to succeed in their program and new field. That
may mean extending the length of their program. If certain assessments are not
passed, the student may flex to repeat a portion of the program that covers the
objectives they did not achieve. Students that are not demonstrating adequate effort
or progress may be withdrawn from the program. Please see the full Flex Policy in the
Student Guide.
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Start Date for
All Programs
Full-time
Anticipated Completion
Date for DS & Web
Part-time
Anticipated Completion
Date for DS & Web
Anticipated Completion
date for Enterprise
Backend
8/2/2021
1/28/2022
7/25/2022
NA
8/30/2021
8/22/2022
2/25/2022
NA
9/27/2021
3/25/2022
NA
06/03/2022
10/25/2021
4/22/2022
NA
07/01/2022
11/29/2021
5/20/2022
NA
08/05/2022
01/10/2022
07/01/2022
NA
09/30/2022
02/07/2022
08/05/2022
NA
10/28/2022
03/07/2022
08/26/2022
NA
11/25/2022
04/11/2022
09/30/2022
NA
01/06/2023
05/09/2022
10/28/2022
NA
02/10/2023
06/06/2022
12/02/2022
NA
03/10/2023
07/11/2022
01/13/2023
NA
04/07/2023
08/08/2022
02/10/2023
NA
05/05/2023
09/05/2022
03/10/2023
NA
06/02/2023
10/03/2022
04/07/2023
NA
06/30/2023
10/31/2022
05/05/2023
NA
08/04/2023
CLASSROOM DAYS / HOURS
Lambda School provides distance education courses/programs in real-time where
the distance education coursework is completed at a location determined by the
student.
Full-Time schedule: 8:00am to 5:00pm (Pacific) Monday through Friday.
Part-Time schedule: Monday through Thursday (cohorts alternate between 4:00pm –
7:00pm and 6:00pm – 9:00pm Pacific) Students on the part-time schedule
will choose a “fifth day” based on options provided.
The full-time schedule classes includes an hour for lunch break at 11:00am.
ADMINISTRATION DAYS / HOURS
Office hours are Monday through Friday, 8:00am to 5:00pm (Pacific).
COURSE TIME HOURS
Academic credit is measured in clock hours. A clock hour is defined as a 60-minute
period of time with no less than 50 minutes of coursework.
ADMISSIONS
ELIGIBILITY
To be eligible to apply and enroll at Lambda School, prospective students must:
● Be 18 years of age or older prior to the expected start date;
● Have a high school diploma or equivalent or pass the approved Ability to
Benefit exam
● Complete the admissions application and supplemental items
● Provide documentation of a minimum score of 80 on the TOEFL iBT
examination if the student is not proficient in English.
● Have no outstanding ISA to Lambda School or other entity
● The Backend Development program requires proof of ability to work in the
United States
PROCEDURE
Prospective students are invited and encouraged to explore the website to learn more
about Lambda School courses and admissions: Admissions & Criteria . To apply:
● Submit an online application at https://lambdaschool.com/go
● Review the course catalog
● Complete assigned supplemental items in the Admissions dashboard
○ Complete the Entrance Examinations
■ All Courses: Complete CCAT and earn a minimum score of 23
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■ Data Science: Complete and pass the Skills Challenge and earn a
score of 11
■ Backend Development: Complete the Skills Challenge and earn a
score of 60%
○ Complete the proof of education section or Ability to Benefit test
Prospective students will be notified by email and their admissions dashboard of the
decision to accept or deny admission the admissions procedure has been completed.
ENROLLMENT PROCESSES
● Start of school is conditional upon the admitted applicant completing all
post-enrollment checklist items by assigned deadlines
● Applicants may need to confirm with an Enrollment Advisor prior to
starting school
● Complete all pre-course work/tests/self-assessment and enrollment
paperwork by 5:00pm pst 12 days prior to class start date;
● Attend “Lambda Launch,” our mandatory student orientation, and
● Be provided with the School Course Catalog.
● Provisional acceptance is granted to every accepted applicant who must
attend “Lambda Launch,” our mandatory student orientation before the
first day of scheduled class to be determined full acceptance.
● Web Development Applicants must complete the Pre-Coursework (15
hours) prior to start of school
INTERNATIONAL STUDENTS AND ENGLISH LANGUAGE
SERVICES
Lambda School does not offer visa services to prospective students from other
countries or English language services. Lambda School does not offer English as a
Second Language instruction. All instruction occurs in English. English language
proficiency is documented by:
1. The CCAT exam.
2. Lambda School’s receipt of prior education documentation as stated in the
admissions policy.
FOREIGN TRANSCRIPT EVALUATION
All foreign transcripts and degrees must be evaluated and translated to meet U.S.
equivalency.
The following is a sample of foreign transcript and degree evaluators. Lambda
School does not endorse any evaluators.
● Foreign Consultants: http://www.foreignconsultants.com/
● Educational Credential Evaluators: http://www.ece.org/
● Educational Perspectives: http://www.educational-perspectives.org/
● International Consultants of Delaware: http://www.icdel.com/
● International Research Foundation, Inc.: http://www.ierf.org/
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● World Education Services: http://www.wes.org/
While Lambda does accept students from all around the world, the following factors
must be carefully considered if you are not a US citizen:
● Income Share Agreements are available to people who live in the US
who are US Citizens, US Permanent Residents, DACA recipients, and
European Union Citizens living within the European Union. Other
people can still attend Lambda by paying the tuition upfront or
arranging separate payment plan(s).
● Almost all courses are taught on Pacific Time so it is important to think
about how you will adjust according to your time zone.
READMISSION POLICY
Students applying for readmission into the same program (if available) must follow
the instructions provided by the LAAC committee, including repeating the full
admissions process. Supporting documentation and/or information should be
provided regarding the mitigating circumstances that caused the
withdrawal/termination, along with the change in circumstances that will allow the
student to successfully complete the program.
Timelines and conditions for re-admission are described under the following titles of
this catalog: Grading System/Incomplete, Satisfactory Progress, Academic Probation,
Attendance Policy, Leave of Absence, Student Conduct and other published policies.
Students wishing to be readmitted and enrolled should contact the helpdesk.
Students must be in good financial standing with the school to re-enter and re-start
Lambda School at Sprint 1.
If a re-admitted student was terminated for unsatisfactory progress on Academic
Probation at the time of his/her previous withdrawal or termination, the student will
be placed on that same status at the time of re-entry for the next evaluation period.
Lambda School will advise the student of this action and document the student's file
accordingly. If the student does not demonstrate satisfactory progress at the end of
this probationary period, that student's enrollment shall be terminated.
NOTICE CONCERNING NON-ACCREDITATION, CREDIT
NON TRANSFERABILITY, AND TAX
As a non-accredited institution, Lambda School does not accept transferred-in
credits or provide credits transferable to other institutions. Lambda School does not
issue 1098-T or other tax forms for payments of upfront tuition or on your ISA.
REFUND POLICY
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THE STUDENT’S RIGHT TO CANCEL
We are aligned for your success and support you every step, but we understand in
some cases you may not be able to continue or want to withdraw from Lambda
School.
You may withdraw from a program without owing any tuition or penalty before the
last class of Sprint 5. If you withdraw or are withdrawn between the end of Sprint 5
(for all programs) and the end of Sprint 16 for Web & Data Science or Sprint 22 for
Enterprise Backend, you will be responsible for a pro-rata portion of your tuition and
receive a refund for applicable amounts paid in advance. If you withdraw or are
withdrawn after you complete Sprint 16 Web & Data Science or Sprint 22 for
Enterprise Backend, you will be responsible for 100% of your tuition. See the chart
on the next page for more information
Tuition installment payments are due before the start of the first day of each
respective Sprint. Failure to make required tuition payments, on any plan, may result
in academic suspension and/or withdrawal.
LAMBDA SCHOOL’S RIGHT TO WITHDRAW OR
TERMINATE
Lambda School can terminate your enrollment or withdraw you at any time for
failure to comply with policies in the Student Guide, including lack of attendance.
Note:Students may miss no more than eight hours of class per month. If you are
withdrawn from Lambda School, the tuition proration policy will apply based on
when you are withdrawn. This holds true for all forms of tuition payments and if you
withdraw or are withdrawn. Note that depending on the reason for withdrawal, you
may not be eligible for re-admission.
HOW TO WITHDRAW FROM THE PROGRAM AND
CANCEL YOUR ENROLLMENT
You can withdraw by contacting the Student Success team via Slack at /frontdesk or
message requesting withdrawal.
HOW REFUNDS WORK
Within 45 days, amounts due to you per the chart below will either be refunded
directly to you if prepaid or, for ISAs, communicated to your ISA service provider for
adjustment to your ISA cap (which is your tuition amount).
If any portion of the tuition was paid from the proceeds of a loan or by a third party,
any applicable refund shall be sent to the lender, third party or, if appropriate, to the
state or federal agency that guaranteed or reinsured the loan.
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TUITION PRORATION FOR TUITION OWED AFTER
WITHDRAWAL
If you withdraw or are withdrawn, you are no longer bound by the enrollment
agreement, and we will calculate owed tuition per the chart below. This holds true for
all forms of tuition payments and if you withdraw or are withdrawn. Sprints last 1
week for full time and 2 weeks for part-time.
The end of a Sprint under this chart means all the classes in that sprint have occurred
(whether or not you attended those classes) and does not require a passing mark.
There is no additional cost for participating in our Flex program, so repeated sprints
from Flex are not counted twice.
TUITION REFUND CALCULATOR CHART
Full Stack Web Development & Data Science
Enterprise Backend Development
The end of a Sprint under this chart means all the classes in that sprint have occurred
(whether or not you attended those classes, and whether or not you received a passing
mark).
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Sprints
Completed
% of Tuition
Owed
$ of Tuition
Owed
0-4
0%
$0
5
15%
$4,500
8
25%
$7,500
12
37%
$11,000
16+
100%
$30,000
Sprints
Completed
% of Tuition
Owed
$ of Tuition
Owed
0-4
0%
$0
5
13%
$3,900
8
22%
$6,600
12
33%
$9,900
16
44%
$13,200
22+
100%
$30,000
Lambda School also offers a Flex program. The Flex program ensures that each
Student's progress through the curriculum is based on their demonstration of
mastery. If a student's assessment indicates that the student has not achieved
mastery, the student will flex in order to repeat the content and achieve mastery.
There is no additional cost for participating in our Flex program, so repeated sprints
from Flex are not counted twice. Please see the Student Guide for the full policy.
WITHDRAWAL
For the purpose of determining a refund under this section, a student may be deemed
to have withdrawn from a program of instruction when any of the following occurs:
● The student notifies the institution of the student’s withdrawal or as of the date
of the student’s withdrawal, whichever is later.
● Lambda School terminates the student’s enrollment for failure to comply with
policies, that includes student’s conduct and lack of attendance. Note:
Students may miss no more than eight hours per month.
ACADEMIC POLICIES
GRADING SYSTEM
Depending on the program students will cover a total of 24 - 36 sprints of curriculum
and time spent building projects. Each sprint will conclude with a Sprint Challenge.
Student performance on a Sprint Challenge is graded with a 1-2-3 rating.
1: Did not meet objectives (does not pass)
2: Met objectives (passing)
3: Met objective (passing) and surpassed expectations
Students that receive a “1” rating may flex (re-attempt) the Sprint Challenge in order
to demonstrate mastery of the content.
Students who are unable to pass sprints with a 2 or 3 score will be flexed back to
repeat the unit. Please see the Student Guide for more information about the flex
policy.
All Sprint Challenge grading or ratings are found on the student dashboard located at:
https://dashboards.lambdaschool.com/students/first-last/
Students can find their progress and scores by replacing "first" and "last" in the above
URL with their first and last names.
Students are able to flex and repeat the unit one time (for a total of two times through
the content of a unit). Failure to pass a unit on the second attempt will result in a
student being withdrawn from the program. Please see the Student Guide for more
information on the flex policy.
Lambda School’s response to, or evaluation of, each student lesson, project, or
dissertation is returned to the student within 10 days after receipt.
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Final course grades are based on demonstration of meeting the learning outcomes as
stated on each course syllabus:
P – Pass: Any course with a “P” grade is identified as successful completion to
graduate.
F – Fail: Any course with a “F” grade must be repeated and passed to graduate.
R – Repeated (Flex): When a course is repeated to improve a previously earned grade,
the first grade is replaced with a new grade upon completion of the repeat. Any
course that has a grade of “F” (Fail) or “W” (Withdrawal) is required to be repeated.
Any course with an “R” grade is not calculated into the grade point average.
W – Withdrawal: Withdrawal, a “W” grade is provided when a student leaves the
course or is withdrawn from the school prior to the scheduled completion of a course.
Any course with a “W” grade is not calculated into the grade point average.
SATISFACTORY PROGRESS
Lambda’s standards of satisfactory progress apply to all students. Students must
continually maintain satisfactory progress in order to continue their education at
Lambda. To maintain satisfactory progress, students must achieve a minimum
academic standard, progress at a satisfactory rate toward program completion, and
complete the program of study within the parameters established in the Flex
structure within 1.5 times the normal scheduled length of the program. The
standards for academic progress consist of the following elements:
1. Maximum Program Length: A student in a program of study measured in clock
hours must not exceed more than 1.5 times the clock hours in the program. Any
student who fails to complete a program of study within the stated 1.5
attempted clock hours may be placed on probation or withdrawn from
Lambda School.
2. Evaluation Points: A student’s academic progress will be evaluated at the end of
25%, 50%, and 75% of the maximum time frame.
3. Minimum Academic Achievement and Course Completion Standards:
Students must achieve a passing grade in each course attempted to maintain
satisfactory academic progress. Course evaluation methods are all graded
using the following grading scale:
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Grade
Grade Percentages
P – Pass
70%-100%
F – Fail
69% or below
R – Repeated
Based on grade.
W – Withdrawal
0%
ACCURACY GRADE
70% – 100% Pass
0% – 69% Fail
Students achieving these standards are considered in good academic standing. A
successful course completion standard at each evaluation point ensures that the
student can successfully complete the program of study within the maximum time
frame.
Failure to meet the minimum standards at the evaluation point will result in the
student being placed on academic probation until the end of the next unit. A student
who fails to meet the minimum standards at 50 percent of the maximum program
length (MPL) evaluation point will be withdrawn unless special or mitigating
circumstances have occurred.
Special or Mitigating Circumstances: The Director of Student Success, in their sole
discretion, may waive interim satisfactory academic standards for special or
mitigating circumstances outside the control of the student. The circumstances must
be documented, and the student must demonstrate that these circumstances had an
adverse impact on the student’s satisfactory progress in the program.
ACADEMIC PROBATION
Students who fail to meet satisfactory academic progress standards may be
academically deferred (flexed) to a later section. Depending on the situation, a student
may be placed on a longer academic probation wherein they may be required to wait
up to three months before rejoining an active section. Students remain eligible to
continue classes during the probation period and will be considered to be making
satisfactory academic progress during the probationary period. Probationary
students who fail to meet satisfactory academic progress by the conclusion of the
probationary period will be deemed not to be making satisfactory academic progress
and may be withdrawn at the discretion of Lambda.
In the event such a student is allowed to continue with instruction, eligibility to
continue will be reinstated only after the student has reestablished satisfactory
academic progress in accordance with the Satisfactory Academic Policy. In the event
a student is withdrawn due to not making satisfactory academic progress, all policies
regarding Lambda’s refund policy will apply. Probationary students who meet
satisfactory academic progress by the conclusion of the probationary period will be
removed from academic probation.
REMEDIAL WORK AND REPEATED COURSES
Lambda does not offer remedial work. When a unit is repeated, the higher grade for
the repeated subject class will be considered in the determination of the student's
grade average for the course of study.
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ATTENDANCE
Attendance is required. We monitor attendance closely during video lectures and
from time to time we’ll check in on your group or pair programming work as well.
Attendance is critical to success in the program.
Students may miss no more than eight hours per month and are required to connect
with a Project Manager or Team Lead regarding missing hours. Missing more than
eight hours per month may result in deferment to a later class or being withdrawn
from the program, determined on a case-by-case basis. We understand life happens
and emergencies arise, so students should speak to a Team Lead if they know they
will miss class for any reason.
If a student resides outside of the US and takes a US-based course, they should
consider how they will adjust their schedules to attend, as all classes are taught on
Pacific Time. e.g. Students in US-based classes only get US holidays off, regardless of
where they live. If a student enrolls in a EU-based class, it will be taught live on GMT
+1, and students will only get EU holidays off.
Exceptions to the attendance requirement may be made for extenuating
circumstances at the discretion of a member of the Student Success team. Lambda
School allows for excused absences only when notice has been provided within 48
hours of the planned date of absence. Depending on the circumstances, students may
be asked to provide documentation from a third party in order to verify reasoning
behind the planned absence.
TARDINESS AND EARLY DEPARTURES
Full-Time Sections:
Attendance is taken twice daily for students in the full-time 8:00 AM to 5:00 PM
sections. First attendance is taken during the morning and again at the end of the day.
Students who miss more than 25% (30 minutes) of the two-hour live lecture will be
considered absent for the first half of the eight-hour scheduled class time. Students
that miss more than 30 minutes of the scheduled assignment and project time (12:00
PM to 5:00 PM), or fail to attend the end-of-day team meeting, will be considered
absent for the second half of the eight-hour scheduled class time.
Part-Time Sections:
Attendance is taken at the beginning of scheduled class time once daily in the
part-time 4:00 PM to 7:00 PM or 6:00 PM to 9:00 PM sections.
Students who miss more than 30 minutes of the scheduled class time will be
considered absent
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MAKE-UP EXAMS
Students in both full-time and part-time sections will have a pre-defined and
scheduled day to complete a Sprint Challenge (A Sprint Challenge is the method by
which a student is “tested” or evaluated for understanding of curriculum).
Lambda and the instructors realize that certain circumstances may prevent a student
from being present on the day of the scheduled Sprint Challenge. Students may
request a different day to complete the Sprint Challenge if within three days of the
original scheduled Sprint Challenge. The request must be submitted to Front Desk
and pre-approved by a Student Success team member.
MAKE-UP WORK
Students that have missed a live lecture, assignment, project, or any other designed
activity in the scheduled class time may make up that work by doing so outside of
scheduled class time. Students that choose to do make-up work must do so within the
same week that the work was done by other students in attendance.
Students that wish to perform make-up work must coordinate with their Team Lead
and seek verification of completion. Any make-up work completed by a student must
be completed before the scheduled Sprint Challenge.
LEAVE OF ABSENCE POLICY
A leave of absence (LOA) or “Hiatus” will be considered and may be granted at the
discretion of the Student Success team member provided:
1. The LOA does not exceed 3 weeks (for exceptions see hiatus policy in the
Student Guide );
2. The LOA is requested by the student in writing prior to the first date * of the
LOA;
3. The LOA is formally approved by the School prior to the first day * of the
requested LOA; and
4. The student is in good standing prior to LOA request.
STUDENT CONDUCT EXPECTATIONS
General Information
The Code of Conduct is set forth to give students general notice of academic and
non-academic expectations. Here at Lambda School, we are committed to the success of our
students. That focus drives everything we do. Besides providing a clear framework, the
policies and procedures in the Student Guide are designed to mirror expectations our
students will see in a professional or workplace environment. Additionally, we want every
student at Lambda to have as positive a learning environment as possible - something we all
play a role in.
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The Code of Conduct should be read broadly and is not designed to define misconduct in
exhaustive terms. The Code of Conduct is an overarching policy that also includes all
published policies and procedures within the Student Guide. All students are expected to
know and abide by the Code of Conduct and all published policies and procedures contained
within the Student Guide.
In addition, we may from time to time publish announcements to students about topics
related to the Code of Conduct. We will endeavor to ensure that updates are reflected in the
Student Guide, but overall, we expect that students abide by guidance provided by staff.
Student Rights and Responsibilities
At Lambda, we value an educational environment that respects the values of individual
students and their personal and professional development. We strive to create and maintain
an environment in which individuals are treated with dignity, decency, and respect, and the
best learning happens. Each student has the responsibility to take an active role in their
learning and understanding, and to contribute to an environment where all can learn.
As agreed to upon enrollment, students are responsible for reading and understanding the
expectations and guidelines of Lambda School as stated in the Enrollment Agreement,
Student Guide, and Code of Conduct. If a student has questions about certain conduct, or
whether an expectation applies in Lambda's programs and activities, and it is not explicitly
stated, they should reach out to the Student Success Team via /frontdesk for clarification.
Students also have the responsibility to remain in communication with Lambda School
administration, by checking their Lambda student email account, reading and engaging in
Slack channels and direct messages, and reading all school announcements.
Lambda School protects students' privacy. We do not provide personal information to
non-service provider third parties except as requested by the student, or as required by
subpoena, warrant, or as otherwise directed or permitted by law.
A Note About Speech Rights
Lambda School has both the right and responsibility to maintain a professional, respectful,
and learning-centered environment. Although we welcome feedback and ideas, as a private
institution, we may remove content that violates the Code of Conduct or Student Guide, is
deemed to be disruptive to the learning environment, and/or is not aligned with Lambda
School’s mission, values, and/or goals.
Scope and Application of the Code of Conduct
The Code of Conduct, along with all other published policies and procedures in the Student
Guide may be applied to behavior that is in-person, written, or conducted online. Alleged
violations of the Code of Conduct that occur outside of a student’s active enrollment at
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Lambda School (during admissions, Hiatus, or post graduation) are also subject to the
conduct process, up to and including withdrawal from the program.
Certain conduct may violate the Code of Conduct as well as the law. Lambda School reserves
the right to investigate and to initiate the conduct process regardless of the prospect of or
pending civil or criminal proceedings. Lambda School's resolution process differs from legal
proceedings in that the goal is to promote learning, growth, and to preserve the educational
environment. Lambda School may move forward to resolution prior to, simultaneously with,
or following criminal or civil proceedings. Resolution of an alleged violation will not change
on the grounds that a civil or criminal case has been resolved via dismissal, settlement, or
reduction.
Slack and email are our main tools of communication at Lambda School. We encourage
students to engage in curriculum related discussions and ask for help through the appropriate
Lambda Slack channels. While we do not want to stop the gathering of Lambda School
students outside of official channels we cannot as a school be held liable for anything that
happens in the spaces that we do not govern. However, the school reserves the right to further
investigation and possible removal of a student for offenses such as bullying, harassment, etc.
if such behavior is brought to our attention.
Policies in the Student Guide, including but not limited to the Code of Conduct, may be
enforceable for incidents that happen outside of Lambda School that affect the Lambda
School community (for example personal social media pages, Twitter, Facebook, or in-person
meet ups). The following criteria will be used to determine if an incident that happens outside
of Lambda networks will be considered an alleged violation of the Student Guide:
1. When the incident was recognized by others as being carried out by a Lambda
School student;
2. When the incident adversely impacted the mental, emotional, or physical
health, safety, and/or security of Lambda School community members;
3. When the incident adversely impacted the mission and/or values of Lambda
School; and/or
4. Whether the incident was a violation of federal or state laws or regulations, or
local ordinances.
Process When a Violation of the Code of Conduct Occurs
We do not actively seek out violations of the Student Guide or Code of Conduct. If we come
across an issue, or someone brings concerning behavior to our attention, the Student Success
Team will work to determine if the behavior may be a violation of the Code of Conduct or
Student Guide. If a violation is alleged (or confirmed), we will generally:
● Notify the student(s) involved
● Meet with the student(s) involved
● Gather information about the incident(s)
● Work to prevent reoccurance
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In most cases, students will be notified of the alleged violation (through Slack
messaging, Lambda email, and/or additional email address on file) and have an opportunity
to meet with a member of the Student Success Team or their designee to share their
perspective. Additionally, Lambda School reserves the right to immediately remove a student
from the School without notice or opportunity for a hearing for behavior deemed to be
disruptive to the learning environment and/or not in line with Lambda School’s mission,
values and goals. Lambda School may also take steps to limit a student’s access to the
Lambda School community, for example Slack access, while an investigation takes place.
When determining if a student has violated a policy, Student Success Staff or their designee
will look at the information to see if the violation is “more likely than not” to have occurred.
Determinations will be made by a member of the Student Success Team or their designee.
When deciding the appropriate action to take, we consider the severity of the incident, the
context in which it took place, and student communications, if applicable. A student’s lack of
response to staff communication or refusal to participate in the process may also factor in the
decision. Actions taken to prevent future occurrence may be educational in nature or may
include actions up to withdrawal from Lambda School. If a student is found to be responsible
for a violation of the Student Guide, Code of Conduct, or other published policies, the student
will be notified of the decision, along with any resulting outcomes up to, but not limited to
being removed from platforms, repeating or reattempting academic work, temporary or
permanent withdrawal from Lambda School, or other educational assignments.
Participation and Attendance
Lambda School expects each student to actively participate in their course by attending all
lectures, having an online presence during course hours, engaging with the Lambda
community, and collaborating with other students. Active participation with the student’s
cohort, Peer Mentor and/or Mentee, Track Team, and Build Week team are required to
progress through the program.
Student attendance may be verified through engagement in any and all platforms used by
Lambda School (Canvas, Slack, Zoom, etc.).
Coursework and Projects
Lambda School expects students to complete each and every assignment given as part of the
course because the concepts learned in one assignment are a building block needed for future
assignments. Even if a student knows a concept, repetition solidifies the foundation of their
knowledge. We encourage students to reach for stretch goals and practice on their own.
Coursework and relevant assignment and Sprint Challenge deadlines are housed in Canvas.
Students are responsible for ensuring that their coursework is submitted in the appropriate
manner and on time.
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Owning your Learning
It is ultimately the student’s responsibility to take an active role in their learning and
understanding, alongside the structure and support provided by Lambda School. This might
mean that to master material, students might put in additional study hours beyond scheduled
class time. Or, that students might benefit from resources beyond Lambda School support
channels, such as to learn another programming language or enhance their understanding of
a concept and to prepare themselves. While we are here to provide support and assistance,
students are ultimately responsible for their own learning and success.
Asking for Help
If a student feels lost or is stuck on an assignment, it’s their responsibility to reach out to the
Lambda school community for help. Students may not always be given the answer, but they
will be provided with the tools to come up with the answer on their own. Students should use
the following steps in order when they need help on technical problems/challenges and
coursework:
1. Use the 20 Minute Rule (work on the problem on your own for 20 minutes)
2. Post your question or issue in the #help channel for your cohort
a. Check your cohort calendar and Slack communications for formal help
hours
3. Reach out to additional resources, with the understanding that these are not
available 24/7
a. Mentor
b. Track Team members
c. Instructor for the unit
Academic Integrity
Lambda School expects students to understand and maintain high standards of academic
integrity. The goal of Lambda School is that our students learn the material to mastery.
Asking for help and researching online are a key part of learning, and in the world of
collaboration and open source, this can be tricky to navigate. Although you can search the
web, read articles and documentation, and review code snippets and examples for help, you
should be able to put all these assistance tools aside and write code from scratch. Students
should not submit any code or content that they did not write as their own work. For our
purposes, breaches of academic integrity include, but are not limited to the following:
● Inappropriate Collaboration - Collaboration on assignments is prohibited unless
explicitly permitted or directed by your instructor. Collaboration includes student,
professional, and/or technological assistance other than personal research for
inquiries.
● Plagiarism and Cheating - Plagiarism is a form of academic dishonesty that includes
the wrongful appropriation of another's work, thoughts, ideas or expression.
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Plagiarism can include copying code or content from instructors, other students,
outside sources, or generally submitting work that is not one’s own. Giving your
solution code to another student to copy, or copying another students’ work, is
considered cheating.
● Sharing Solution Code - Lambda projects and curriculum are the property of Lambda
School. Any unauthorized sharing of project solution code within or outside of the
Lambda School community is considered cheating, and may result in dismissal from
the program.
● Inappropriate use of Intellectual Property and Copyright Violations - We expect all
students to respect the intellectual property rights of Lambda School, instructors,
staff, other students, as well as those of any and all external parties. Lambda owns all
code for Lambda assigned projects. Students own any code that they write for projects
outside of the core Lambda curriculum, even if these projects were written during
their enrollment in Lambda. Intellectual property violations include copyright
violations, using, and/or linking materials to which you do not have the rights. Lambda
School may request that you remove any content or material (either within Slack or
externally) that is found to violate any Student Guide policy, contractual term, law,
and/or any intellectual property right. Content posted to Lambda School Slack spaces
also belongs to Lambda School.
For any project you are submitting, you should be able to set research tools and notes aside
and write your own code. In investigating suspected academic integrity violations, the
Student Success Team may use the following questions to evaluate the situation:
1. Who created the original code and/or content?
2. For what purpose was that code and/or content created?
3. To what extent was the original code and/or content changed?
Behavioral and Community Standards
One of Lambda School's most important jobs is building and maintaining a strong,
supportive, positive learning environment that leads to successful career outcomes for all
Lambda students. Lambda School takes that job very seriously. Any activity (creating
distractions, bullying, harassment, etc.) that negatively impacts the learning environment may
result in being removed from the program. If removed from the School for violations of the
Student Guide, Code of Conduct, Enrollment Agreement or other published policies, the
student may qualify for a proration of their income share agreement (ISA) or retail
installment contract (RIC), or partial upfront or installment plan tuition refund. Personalized
information about tuition options and related policies can be found on a student’s
MyLambda page.
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Professionalism and Respect
Lambda School is a professional environment. It is expected that students act accordingly.
Punctuality, timeliness, accountability, and open communication are crucial not only for a
student's success at Lambda School, but also in their careers afterward. The professional
expectations Lambda School requires of its students are the same a student's future
employers will expect of them. Professionalism should be a theme that runs through a
student's work and interactions at Lambda. This includes communication via Slack, Zoom,
content of a student's work, and naming conventions. A good rule of thumb is: if a student
wouldn’t do or say it in front of an employer or colleagues at their job, they shouldn't do it
here at Lambda School.
Lambda School is fortunate to have students, instructors, and staff from extremely diverse
backgrounds. Contribute to creating a positive experience for everyone by being respectful in
communication. Students are expected to do their part to make Lambda School a welcoming
place to learn by encouraging their fellow students, offering support, and listening to others.
Lambda School does not tolerate discriminatory, harassing, or insulting remarks to other
students, instructors, staff, or anyone else, online or in person; for more detail see the
Discriminiation and Harassment policy below.
Alcohol and Other Drugs
Students are expected to abide by local laws and regulations regarding the use of alcohol and
other drugs. In addition, the following are considered violations if a student does so while
participating in Lambda School programs and activities:
● Consuming alcohol and other drugs during school hours. Other drugs include, but are
not limited to, cannabis (in all forms), controlled substances, prescriptions (when used
in any manner and/or by any person other than what has been prescribed by a
medical professional), and the use of synthetic or natural substances ingested for an
intoxication effect.
● Use or display of drug paraphernalia, including but not limited to items or objects used
or designed for inhaling, ingesting, or otherwise introducing drugs into the body.
● Disorderly and/or disruptive behavior caused by the use of alcohol or other drugs.
● Exhibiting signs of intoxication during Lambda School programs and activities.
When participating in Lambda School meet-ups, students who are of legal age to drink and
choose to do so are encouraged to drink responsibly and arrange alternative transportation if
needed. Please note that Lambda School will not pay for or provide alcohol for students
during meet-ups.
If a student has a concern about another individual regarding alcohol or other drugs, they
should notify the Student Success Team via /frontdesk.
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Property and Resources
Students are responsible for maintaining the appropriate security of Lambda School
property, both tangible, like computers and tech equipment, and intangible intellectual
property such as curriculum and content. Unless otherwise agreed in writing, Lambda School
property in the student’s possession or control must be immediately returned to Lambda
School upon any extended leave, withdrawal, completion, and/or termination.
Students may not take, attempt to take, keep in their possession, sell, or attempt to sell
property (intellectual or physical), information, services, or accounts belonging to Lambda
School or other individual(s). This includes, but is not limited to, loaned equipment. Students
also may not commit actual or attempted damage or destruction of any property or item,
including intellectual or physical property, information, and/or accounts.
Weapons
Students are expected to abide by local laws and regulations regarding the use and
possession of weapons.
While participating in Lambda School programs and activities (lectures, support hours, Track
Team Meetings, etc.) it is expected that all students abide by the following expectations,
regardless of local laws and regulations:
● Refrain from wielding, displaying, or using weapons or weapon paraphernalia while
engaging in Lambda School programs and activities
○ Weapons include, but are not limited to: firearms, explosives, knives, clubs,
martial arts weapons, swords, bows and arrows, hand grenades, or other objects
that have been designed with the intent to harm another person or property.
○ Weapons also include, but are not limited to: pellet, BB, or airsoft guns,
blackjacks, slingshots, Billy clubs, or metal knuckles (including replica or
facsimile weapons), toy weapons, electroshock devices, stun guns, or any other
devices that could reasonably be mistaken for a weapon or explosive.
○ Weapon paraphernalia includes, but is not limited to: ammunition, firearms
accessories, empty holsters and magazines, and parts of a weapon.
Discrimination and Harassment
Lambda School strives to create and maintain an educational environment in which
individuals are treated with dignity, decency, and respect. As such, Lambda School will not
tolerate any form of harassment generally, and in particular, based on an individual's
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protected status that is unwelcome and is sufficiently severe, persistent, or pervasive; causes
reasonable fear for safety; and/or interferes with or limits employment, education, or ability
to participate in or benefit from Lambda School's programs, activities, or resources. Lambda
prohibits unlawful discrimination against and harassment of staff, instructors, and students.
Lambda School will seek to prevent, correct, and discipline behavior that violates this policy,
and such behavior may result in withdrawal from the school.
Discrimination
Discrimination under this policy is conduct directed at an individual or group of individuals
because of their race, color, national origin, ethnicity, sexual orientation, gender identity,
religion, gender, marital status, age, disability status, or genetic information that subjects the
individual or group of individuals to different treatment so as to adversely affect the
individual's or group of individuals employment or educational experience at Lambda
School.
Harassment
Harassment is conduct directed at an individual or group of individuals because of their race,
color, national origin, ethnicity, sexual orientation, gender identity, religion, gender, marital
status, age, disability status, or genetic information that has the purpose or effect of
unreasonably interfering with an individual or group of individuals’ employment or
educational experience or creating an intimidating, hostile, or offensive environment.
Harassment includes any verbal, physical, or online conduct and includes, but is not limited
to: slurs, epithets, or other threatening, intimidating, hostile, or abusive treatment directed at
an individual or group of individuals based on the protected statuses described above.
In order to constitute a hostile environment, the harassment must be sufficiently severe,
persistent, or pervasive enough to create an environment that a reasonable person would find
it intimidating, hostile, or abusive. A single incident may create a hostile environment if it is
sufficiently severe. Additionally, while a single incident may not be classified as creating a
hostile environment, the incident will be addressed so it is not repeated.
Reporting Discrimination and Harassment
Students who believe they have been discriminated against or subjected to harassment in
accessing Lambda's programs or activities based on a protected status or otherwise, should
contact the Student Success Team via /frontdesk. Complaints are treated confidentially to
the extent possible.
Retaliation
Lambda School prohibits retaliation against any person because of that person's good-faith
participation in the reporting, investigation, or resolution of any alleged violation of the
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Student Guide, Code of Conduct, or other published policies. Retaliation can be physical,
verbal, via third party, or using electronic means, and may include, but is not limited to:
harassment, intimidation, threats, or adverse actions against a student, staff member,
instructor, or other Lambda School community member. Retaliation may result in immediate
removal from the school.
Threatened or Actual Physical or Psychological Harm
As a community of learners, Lambda School prohibits the following:
● Behavior that is threatening and/or intimidating, or harassing in nature and expresses
or implies interference with personal safety, education, employment, or participation
in Lambda School's activities, resources, or that causes the person(s) to have
reasonable fear that such behavior is about to occur.
● Stalking, both physical and online. Includes, but is not limited to behavior that
threatens or endangers the physical or psychological safety of a person(s), or creates a
reasonable fear or intimidation of such a threat or action.
● Doxxing, which is uncovering and/or sharing a person’s private or confidential
information, often for the purpose of intimidation.
● Any act or series of acts of physical, social, or emotional domination or intimidation,
commonly referred to as "bullying" that causes fear of or physical or psychological
harm and/or interferes with employment, education, or ability to participate in or
benefit from Lambda School programs, activities, or resources.
Digital Environment Standards
While these expectations apply primarily to Zoom and Slack as they are the main forms of
communication for Lambda School, it is expected that all students abide by the expectations
in this section during all school programs and activities, and on all Lambda School platforms.
Communication Guidelines
Professionalism is expected when creating and joining Slack channels, participating in
academic and social discussion, and via posts, comments, questions, and responses to others.
The creation of new channels is encouraged only when there is not an existing channel that
covers the topic or interest. The creation of private channels is reserved solely for Lambda
staff and instructors. The naming of channels and content within is expected to be
professional and in line with the policies and procedures found in the Code of Conduct and
Student Guide.
Lambda School reserves the right to delete Slack channels and content (posts, images,
emojis, threads, questions, comments, and responses) that are not aligned with our mission,
values, Student Guide, or Code of Conduct.
Additionally, inappropriate behavior on Slack, Zoom, and other Lambda School
platforms includes, but is not limited to:
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● Calling attention to all community members using the @channel or @here function
without explicit permission given by staff
● @’ing, and/or otherwise harassing, bullying, being disrespectful, inappropriate, or
unprofessionally calling out individuals (students, staff, and instructors)
● Failing to follow the directions of staff or instructors (for example, continuing to post
when directed not to)
● Being a disruption to the community
● Being disrespectful toward others (students, staff, instructors, and the school)
● Providing feedback in ways other than directed (for example, in channels outside the
scope of where feedback was directed by the school)
● Spamming students, staff, or instructors
● Shopping for different answers (for example, sending direct messages to multiple staff
and/or instructors about the same issue after already having received an answer)
● Using channels for solicitation/marketing of a personal business or for personal gain
● Misuse of channels - using channels for something other than the intended purpose
● Posting political content in channels other than #politics
Use of Cameras
Students are expected to have their cameras on and pointed at their faces while in lectures,
Track Team meetings, mentorship meetings, breakout sessions, and conversations with
Lambda School community members. If a student is unable to have their camera on due to
webcam malfunction or unstable internet connection, it is expected that the student will
contact the Student Success Team. Issues such as malfunctions and unstable internet are to
be dealt with by the student in a timely manner.
Conduct on Camera
While the following expectations described here are under primarily for Zoom interactions,
they may apply elsewhere in the program.
● Food: eating should be kept to a minimum while on camera and should not distract or
disrupt others.
● Drinks: Alcohol is not to be consumed while on camera and is not to be consumed
during scheduled school hours. This also includes having alcohol in sight or on display
while on camera.
● Smoking/Smokeless tobacco: Smoking of any kind (cigarette, vaping, e-cigarette, etc.)
is not permitted while on camera. This also includes chewing tobacco.
● Clothing: It is expected that students are fully clothed while on camera and that their
clothing does not contain any obscene, offensive, or derogatory messages or images.
Account Pictures
Students are expected to add a profile picture to their Lambda School associated accounts.
This picture must be a professional looking picture of the student's face. The picture may not
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be a caricature, drawing, or cartoon image of the student's likeness. It is not acceptable to
have any other image for a profile picture in platforms used for Lambda School.
Names
Students are expected to use their legal name for Slack, Zoom, and all communication within
Lambda School. Students who utilize a preferred name will need to contact the Student
Success Team via /frontdesk so that we may update records.
Safety
Lambda School is committed to safety and encourages Students to take precautions at all
times, including but not limited to while using Zoom. Students should use Zoom to attend
lectures, guided projects, and meetings while in a space where they are able to concentrate
and not endanger themselves or others. We encourage students to use their best judgement
and not participate in dangerous and/or physical activities while on Zoom, including but not
limited to driving.
Recording and Screenshots
Lambda School values and respects student, staff, and instructor privacy. It is expected that
all students will respect this privacy as well. Therefore, it is considered a violation of the Code
of Conduct to:
● Use electronic or other devices to make an audio, photographic, screenshot, or video
record of a person(s) without prior knowledge or permission in each instance.
● Store, share, or distribute such records by any means, including the unauthorized
recording of personal conversations, images, meetings, or activities.
● Create, store, share, or distribute created likeness of any person(s) without prior
knowledge or permission. This includes, but is not limited to, emojis, gifs, and memes.
Please note that screenshots may be taken and used for the purpose of reporting
behavioral concerns to Lambda staff. These should be submitted via /frontdesk, and not
shared in Slack channels. Additionally, taking screenshots and sharing snippets of code or
class material for the purpose of soliciting help or assistance in understanding a concept is
permitted.
Feedback
Lambda School encourages critical thought, discourse, and feedback from our
students, including reflections on the school itself, our policies, or anything else. We
value student feedback and welcome it anytime via /frontdesk, module reflections,
communication with staff and instructors, and others.
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GRADUATION REQUIREMENTS
Students are expected to pass a sprint challenge at the conclusion of each week of
curriculum or project-based learning. Additionally, students are expected to pass a
unit assessment at the conclusion of each course unit and a final assessment at the
end of their program. Therefore, students are considered a “graduate” once they have
received a passing rating for every sprint challenge, unit assessment, and final
assessment. Students that pass these will be given a Certificate of Completion from
Lambda School for program completion and are provided a digital badge from
Acclaim for web-based credentials.
The following requirements must be met for a student to graduate from any program
at Lambda School:
1. Successful completion of all program courses and hours; and
2. Earn a minimum cumulative grade point average of 70%.
All grading or ratings are found on the student dashboard located at:
https://dashboards.lambdaschool.com/students/first-last/ . Replace “first” and “last”
with your name in the URL.
For students and alumni who wish to obtain their transcripts please contact
/frontdesk via slack to request a copy.
STUDENT SERVICES
LAMBDA LAUNCH “ORIENTATION”
Two orientations will be provided to new students. The first one will be scheduled the
Wednesday and Thursday before the first day of class for full-time students and the
Monday through Wednesday before the first day of class for part-time students. This
is a live orientation, called Lambda Launch, led by a member of the Student Success
or Instruction team. The orientation will cover a wide range of topics designed to
brief new students on the rules, regulations, and policies of the school.
A second orientation will be conducted two weeks after the first day of class. This
orientation will cover additional information related to student expectations, policies,
and best practices.
Attendance at the first orientation is required. A recording of the orientation will be
uploaded to the class channel for later viewing. Attendance for the second orientation
is required.
ACADEMIC ADVISING
Academic advising may be initiated by Lambda personnel or the student when the
need is identified. Students may initiate academic advising by requesting support
from their Project Manager, Team Lead, or by requesting support from Student
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Success by submitting a help ticket to Front Desk. For more information on how to
contact Front Desk, see the Tools & Platforms section of the Student Guide.
LEARNING RESOURCES
Lambda School provides all instructional materials necessary for the program.
Lambda School does not maintain a library. Students may access the internet for
additional resources. Internet resources are available 24 hours a day and accessible
with an internet connection.
ZOOM
Zoom is an online remote meeting service. While at Lambda School students will use
Zoom to receive lectures, guided projects, pair programs, work on group projects, and
receive 1:1 support from the Instruction team, and more.
Each student will be required to download Zoom and set up their free account before
the first day of orientation. Students should refer to the Student Guide for
expectations regarding the use of Zoom for Lambda courses and activities.
SLACK
Slack is an online communication tool used widely in the tech industry. For Lambda
School, it is the most important and frequent way we communicate with students. If a
student has never used Slack before, they should get to know it well. Nearly every
company in Silicon Valley uses it, and it’s rapidly becoming a point of competence
across software engineering teams.
Once a student has filled out their confirmation form, we will add them to the student
Slack workspace and assign them to a few main channels depending on their class
and group.
Example:
If a student is joining the WEB18 class (Full Stack Web, Class 18), their main
Slack channels will be
#WEB18
and
#WEB18_help
. Students will be assigned to a
smaller group with their Project Manager or Team Lead. For example, if their Project
Manager/Team Lead is Alicia Jackson, that Slack channel might be named
#
WEB18_aj
.
When setting a Slack avatar, students need to use a professional profile photo of their
face, just as they would for a job. Also, students must use their first and last name on
their profile. The #WEB#_help channel is the first place they should post if they are
confused or stuck. A Team Lead, or Instructor will jump in and help students work
through the challenge at hand.
When it is time for a lecture, a Zoom link will be posted in the class channel with the
@channel tag, which should send students both desktop and push notifications.
Students should be sure to follow the schedule and be on time for those lectures, as
their class may not wait for students who arrive late.
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There are also several unofficial location-specific Slack channels (e.g. #Austin,
#Seattle, or #Virginia) students can join. In the past, students have organized meetups
in their area. To browse all public channels, click
Channels
in the Slack sidebar.
Typing a message in Slack that includes “@here” or “@channel” notifies everyone in
that channel. This sends an alert to their desktop, or, in many cases, their personal
cell phones. As such, these commands are reserved for instructors, staff, and Team
Leads.
CANVAS
Lambda School is a 100% online school with no physical locations for students to
learn from or meet. Lambda does not have a traditional library due to their online
presence and the subject matter taught.
Lambda’s “library” is 100% online and housed on the platform called Canvas. Within
Canvas students have access to videos, assignments, daily syllabi, and resources
Lambda has created for students who need extra help.
STUDENT RECORDS
Student records will be maintained on site at the administrative site for five years
from the last date of attendance. Transcripts are maintained permanently.
EMPLOYMENT ASSISTANCE
Lambda graduates work directly with Career Trainers and Career Coaches to
produce career materials, prepare for interviews, and understand how to optimize the
job search. Lambda shares job opportunities for graduates to apply to and provides
direct introductions to partner companies where appropriate. All Lambda alumni
have continued access to Career Trainer and Career Coach support.
NO GUARANTEE OF EMPLOYMENT
While Lambda School will assist graduates in developing job search skills such as
resume and cover letter development, interviewing, and appropriate interview
follow-up activities, it cannot and does not guarantee the student will find
employment nor does it guarantee the student will realize a given salary following
graduation.
GRIEVANCE PROCEDURE
If a concern occurs, the student is asked to discuss the matter with a Student Success
team member. Students may raise the concern with any member of the Student
Success team or submit a help ticket through Slack using the /FrontDesk command.
If a resolution cannot be reached, students are asked to document their concern.
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Documentation should include:
● Relevant dates
● Describe the original concern
● Summarize past conversations with individuals from the Student Success team
● Desired outcome
The student should send the documentation to the Program Manager of Student
Success. After the documentation has been reviewed, the student can expect a
response within 10 business days following receipt of the documentation. For Georgia
and Kentucky residents please see page 58 for your state’s policy.
CATALOG CHANGES
Information about Lambda School is published in this catalog, which contains a
description of policies, procedures, and other information about the school. Lambda
School reserves the right to change any provision of the catalog at any time. Notice of
changes will be communicated in a revised catalog, an addendum or supplement to
the catalog, or other written format with an effective date. Students are expected to
read and be familiar with the information contained in the catalog, in any revisions,
supplements and addenda to the catalog, and with all school policies. By enrolling in
Lambda School, the student agrees to abide by the terms stated in the catalog and all
school policies.
PROGRAMS
The programs herein are not described in sequential order. Additionally, units and
sprint order may be subject to change. For the exact order in which you will receive
your program, please review your Training Kit.
Required Program Length: 960hours / 24 weeks (Full Time)
720 hours / 48 weeks (Part Time)
Cumulative Final Exam: None
Graduation Document: Certificate Of Completion
Standard Occupational Codes / Potential Employment Titles: 15-1134
Sample of reported job titles: Web Developer, Programmer, Software Engineer,
Technology Applications Engineer, Web Development Director, Web Development
Instructor, Webmaster
Program Description:
This program teaches the foundations of web development and computer science.
Students will learn full-stack development with some of the most in-demand
technologies. Upon successful completion of the program, students will have built
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FULL STACK WEB DEVELOPMENT
and worked on multiple apps. This course of instruction prepares individuals for
entry-level jobs such as: web developer, front-end developer, backend developer, and
full-stack developer. Graduates may find suitable employment with technology
companies, as well as traditional companies with the need for web applications and
websites.
Program Objectives:
Upon successful completion of this program the student should be able to:
1. Develop Web application front ends using HTML, CSS, and JavaScript
2. Develop Web servers using Node.js and RDBMS such as SQLite and
PostgreSQL
3. Understand, explain, and apply fundamental computer science concepts
Full-time Schedule: Mon-Fri 8 a.m. to 5 p.m. PST
Full-time Program Outline:
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Full Stack Web
Development Core
Course Title
Lecture
Lab
User Interface and Git
10
30
Advanced CSS and Intro to JavaScript
10
30
JavaScript Fundamentals
10
30
Job Sprint 1
0
40
Applied JavaScript
10
30
Intro to React
10
30
Single Page Applications
10
30
Job Sprint 2
0
40
Advanced React
10
30
Advanced State Management
10
30
Advanced Web Applications
10
30
Job Sprint 3
0
40
Build a Web API
10
30
Adding Data Persistence
10
30
Authentication and Testing
10
30
Job Sprint 4
0
40
Total Hours:
120
520
Applied Computer
Science
Course Title
Lecture
Lab
Part-time Schedule: Mon-Thurs (cohorts alternate between 4 p.m. to 7 p.m. and 6 p.m.
to 9 p.m. PST), plus students will choose a “fifth day”.
Part-time Program Outline:
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Applied CS 1-4
40
120
Total Hours:
40
120
Lambda Labs
Course Title
Lecture
Lab
Labs 1 - Planning a Project
5
35
Labs 2 - Demonstrating Contribution
5
35
Labs 3 - Giving and Receiving Feedback
5
35
Labs 4 - Presenting Your Work
5
35
Total Hours:
20
140
Total Program Hours
960
Full Stack Web
Development Core
Course Title
Lecture
Lab
User Interface and Git
10
20
Advanced CSS and Intro to JavaScript
10
20
JavaScript Fundamentals
10
20
Job Sprint 1
0
30
Applied JavaScript
10
20
Intro to React
10
20
Single Page Applications
10
20
Job Sprint 2
0
30
Advanced React
10
20
Advanced State Management
10
20
Advanced Web Applications
10
20
Job Sprint 3
0
30
Build a Web API
10
20
Adding Data Persistence
10
20
Authentication and Testing
10
20
Job Sprint 4
0
30
Total Hours:
120
360
COURSE DESCRIPTIONS
User Interface and Git FT=40Clock Hours/ PT=30 Clock Hours
Having the ability to craft user interfaces is key for full stack web developers in all
organizations. Another key ability for professional developers is knowing how to use
Git. We cover both topics throughout the week culminating in a multi-page website
sprint challenge.
The goal of this sprint is to build user interfaces and introduce Git into our
work-flow. Concepts covered: Semantic HTML, box model, display types, layout
techniques, flex box, basic terminal use, basic Git use.
Advanced CSS and Intro to JavaScript FT=40Clock Hours/ PT=30 Clock Hours
Responsive design pushes our basic CSS styling forward into thousands of devices. A
growing trend in today’s market continues to be mobile devices that range from large
tablets to small screens. You need to be able to correctly deliver content to all of these
mediums.
Preprocessors introduce variables, scoping, mixins, and functions into CSS allowing
for a more robust programming experience. Most development shops rely heavily on
preprocessors to get large amounts of work done across multiple teams. Learning
how to use preprocessors will increase overall CSS productivity, reduce errors, and
prepare students for the workplace.
Preprocessing is a great introduction to JavaScript concepts like scope, variables, and
DRY code paradigms.
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Applied Computer
Science
Course Title
Lecture
Lab
Applied CS 1-4
40
80
Total Hours:
40
80
Lambda Labs
Course Title
Lecture
Lab
Labs 1 - Planning a Project
5
25
Labs 2 - Demonstrating Contribution
5
25
Labs 3 - Giving and Receiving Feedback
5
25
Labs 4 - Presenting Your Work
5
25
Total Hours:
20
100
Total Program Hours
720
Full Stack Web Development Core
JavaScript Fundamentals FT=40Clock Hours/ PT=30 Clock Hours
Everything we teach during the first couple months of your experience here at
Lambda School revolves around software engineering for the web. One of the most
powerful web languages is JavaScript. Without it, there is no modern web. Web
browsers use JavaScript to power rich user experiences we have all come to expect.
Lambda looks at JavaScript through this analogy. Think of a web page as a house. You
need someone to architect and get in the structure of your house, someone to add in
the design, and someone to add in the electricity to power the house. If you were to
think about HTML, CSS and JavaScript as the three necessary building blocks, for a
web page, HTML could be the blueprint of what your house should be, CSS is the
design of your house and JavaScript powers the electrical interactions that your
house needs to have in order to be functional.
JavaScript is everywhere today! And we have the opportunity here to dive deep
enough into the language to teach you how to be proficient in building modern,
complex and beautiful web applications that are used to power the web today!
Job Sprint 1 FT=40Clock Hours/ PT=30 Clock Hours
Review previous curriculum in preparation for assessments. Complete projects and
submit for review. Complete job search preparedness activities.
Applied JavaScript FT=40Clock Hours/ PT=30 Clock Hours
This week is all about exposing you to applying your Javascript knowledge to the
Document Object Model and creating rich Javascript user interfaces.
Intro to React FT=40Clock Hours/ PT=30 Clock Hours
React is one of the most popular UI libraries today, and in terms of Single Page
Applications many (including the react team) tend to think of the library as the “V” in
MVC. That is, the View layer of the Model, View, Controller paradigm. React is a
pattern, a mindset, that will help developers that use it, build small, reusable pieces of
UI that can be easily put together to make a large scale application.
Single Page Applications FT=40Clock Hours/ PT=30 Clock Hours
This week we’ll be learning about using React Router. With the UI Library (React) and
the Client Side Routing Library (React Router) you’ll be able to craft rich, robust and
highly scale-able Single Page Applications. We will also learn about controlling forms
with React, and take our first look at what automated testing is.
Job Sprint 2 FT=40Clock Hours/ PT=30 Clock Hours
Review previous curriculum in preparation for assessments. Complete projects and
submit for review. Complete job search preparedness activities.
Advanced React FT=40Clock Hours/ PT=30 Clock Hours
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We continue our journey into React with some more advanced topics like class
components, custom hooks, and testing.
Advanced State Management FT=40Clock Hours/ PT=30 Clock Hours
Welcome to the extensive world of state management in React. In this sprint we'll get
hands-on experience with Context API, Redux and more!
Advanced Web Applications FT=40Clock Hours/ PT=30 Clock Hours
Here you'll learn important authentication techniques and automated deployment
tools. Additionally, you will learn the skills necessary to automatically test the
sophisticated applications you've been building.
Job Sprint 3 FT=40Clock Hours/ PT=30 Clock Hours
Review previous curriculum in preparation for assessments. Complete projects and
submit for review. Complete job search preparedness activities.
Build a Web API FT=40Clock Hours/ PT=30 Clock Hours
In this sprint you will learn about Node.js, a runtime environment used to execute
JavaScript code outside the browser. You will also learn how to use the popular
Express framework to build Web APIs based on the REST (Representational State
Transfer) architectural style.
At the end of this sprint you will be able to build and deploy high performance
RESTful Web APIs that can power all apps of all kinds: Internet of Things, Mobile
and Web Applications.
Adding Data Persistence FT=40Clock Hours/ PT=30 Clock Hours
Learn how to store and manage information using Relational Databases like SQLite
and PostgreSQL. You will learn to manage the data stored in Relational Databases
using JavaScript and Structured Query Language (SQL).
At the end of this sprint you will know how to design and build a Relational Database
that satisfies user's requirements and add it to a Web API
Authentication and Testing FT=40Clock Hours/ PT=30 Clock Hours
For this sprint you will learn how to secure the information managed by a Web API.
You will learn how to use Sessions, Cookies and JSON Web Tokens (JWTs) to add
Register, Login and Logout functionality.
Job Sprint 4 FT=40Clock Hours/ PT=30 Clock Hours
Review previous curriculum in preparation for assessments. Complete projects and
submit for review. Complete job search preparedness activities.
At the end of this sprint you will know how to protect information so that only users
that have the corresponding credentials can access it.
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Prerequisite: Successful completion of all courses within Development Core
Applied CS 1 - 4 FT=160 Clock Hours/ PT=120 Clock Hours
Utilize computer science concepts to solve advanced programming problems and
develop technical problem solving strategies for use in the workplace. Apply technical
skills to job search and career readiness.
Prerequisite: Successful completion of all courses within Development Core
Labs 1 - Planning a Project FT=40 Clock Hours/ PT=30 Clock Hours
Students will learn how to break down product releases into individual tasks. Those
tasks will then be scoped and assigned to team members as part of the project plan.
Students will also learn to articulate tradeoffs for architectural and design decisions.
Labs 2 - Demonstrating Contribution FT=40 Clock Hours/ PT=30 Clock Hours
Through practice, students will learn to articulate their contributions to the team.
They will also learn to demonstrate how their contributions relate to the overall
product .
Labs 3 - Giving and Receiving Feedback FT=40 Clock Hours/ PT= 30 Clock Hours
Students will learn how to give appropriate feedback to their peers. Students will also
learn to articulate feedback from their peers to show how they’ve grown as a result of
that feedback .
Labs 4 - Presenting Your Work FT=40 Clock Hours/ PT=30 Clock Hours
Students will learn to articulate the overall process of planning and implementing a
product. They’ll learn to discuss the challenges of working in a complex and
fast-moving collaborative environment. Students will present their own personal
contributions to the overall product.
Required Program Length: 960hours / 24 weeks (Full Time)
720 hours / 48 weeks (Part Time)
Cumulative Final Exam: None
Graduation Document: Certificate Of Completion
Standard Occupational Codes / Potential Employment Titles: 15-1111
Sample of reported job titles: Data Scientist, Data Analyst, Business Intelligence Analyst,
Machine Learning Engineer, Data Engineer, Software Engineer
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Applied Computer Science
Lambda Labs
DATA SCIENCE
Program Description:
In this program students learn industry-current tools and techniques for data science,
adopting best practices in the Python ecosystem. This program will take the student
from a solid foundation to employing advanced statistical models. This course of
instruction prepares individuals for entry-level jobs such as data analyst and machine
learning engineer. Graduates may find suitable employment with technology
companies as well as traditional companies looking to take better advantage of their
existing data.
Program Objectives:
Upon successful completion of this program the student should be able to:
1. Analyze data of a variety of types
2. Build reproducible analyses and data-powered systems
3. Be able to glean, communicate, and build on insights from data
Full-time Schedule: Mon-Fri 8 a.m. to 5 p.m. Pacific
Full-time Program Outline:
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Data Science Core
Course Title
Lecture
Lab
Data Wrangling and Storytelling
10
30
Statistical Tests and Experiments
10
30
Linear Algebra
10
30
Job Sprint 1
0
40
Linear Models
10
30
Kaggle Challenge
10
30
Applied Modeling
10
30
Job Sprint 2
0
40
Software Engineering and
Reproducible Research
10
30
SQL and Databases
10
30
Productization and Cloud
10
30
Job Sprint 3
0
40
Natural Language Processing
10
30
Neural Network Foundations
10
30
Major Neural Network Architectures
10
30
Job Sprint 4
0
40
Total Hours:
120
520
Applied Computer
Science
Course Title
Lecture
Lab
Part-time Schedule: Mon-Thurs (cohorts alternate between 4 p.m. to 7 p.m. and 6 p.m.
to 9 p.m. PST), plus students will choose a “fifth day”.
Part-time Program Outline:
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Applied CS 1- 4
40
120
Total Hours:
40
120
Lambda Labs
Course Title
Lecture
Lab
Labs 1 - Planning a Project
5
35
Labs 2 - Demonstrating Contribution
5
35
Labs 3 - Giving and Receiving Feedback
5
35
Labs 4 - Presenting Your Work
5
35
Total Hours:
20
140
Total Program Hours
960
Data Science Core
Course Title
Lecture
Lab
Data Wrangling and Storytelling
10
20
Statistical Tests and Experiments
10
20
Linear Algebra
10
20
Job Sprint 1
0
30
Linear Models
10
20
Kaggle Challenge
10
20
Applied Modeling
10
20
Job Sprint 2
0
30
Software Engineering and
Reproducible Research
10
20
SQL and Databases
10
20
Productization and Cloud
10
20
Job Sprint 3
0
30
Natural Language Processing
10
20
Neural Network Foundations
10
20
Major Neural Network Architectures
10
20
Job Sprint 4
0
30
Total Hours:
120
360
COURSE DESCRIPTIONS
Data Wrangling and Storytelling FT=40 Clock Hours/ PT=30 Clock Hours
Loading data is a fundamental, and deceptively challenging, step. Getting it in the
right “shape” and format for analysis and modeling is always a challenge. This week
we’ll practice these skills, and learn to appreciate the many tools Python gives us for
these tasks.
Statistical Tests and Experiments FT=40 Clock Hours/ PT=30 Clock Hours
An important application of statistics is designing and evaluating experiments. In the
context of web applications, often this means an A/B test where users are exposed to
different versions of a site and their behavior/outcomes compared.
How do you design a good, and valid, experiment? How long should you run your
experiment? How do you evaluate the outcome of an experiment? How do you
balance all this math and science with the practical business and product concerns
you’re working with? These are the sorts of questions we’ll discuss in this sprint.
Linear Algebra FT=40 Clock Hours/ PT=30 Clock Hours
Linear Algebra is the foundation of nearly all the numerical routines used for
practical statistics and machine learning. It’s a deep topic, but this week we’ll learn
enough to appreciate how it is used and applied to the many models we’ll learn.
Job Sprint 1 FT=40 Clock Hours/ PT=30 Clock Hours
Review previous curriculum in preparation for assessments. Complete projects and
submit for review. Complete job search preparedness activities.
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Applied Computer
Science
Course Title
Lecture
Lab
Applied CS 1-4
40
80
Total Hours:
40
80
Lambda Labs
Course Title
Lecture
Lab
Labs 1 - Planning a Project
5
25
Labs 2 - Demonstrating Contribution
5
25
Labs 3 - Giving and Receiving Feedback
5
25
Labs 4 - Presenting Your Work
5
25
Total Hours:
20
100
Total Program Hours
720
Data Science Core
Linear Models FT=40 Clock Hours/ PT=30 Clock Hours
Unit 2 is about Predictive Modeling, also known as supervised machine learning with
labeled, tabular data! We can make models to predict continuous numbers, and
answer questions like “How much?” or “How many?” This modeling task is called
regression. We’ll begin our study of predictive modeling with linear models for
regression tasks: ordinary least squares regression, and ridge regression. We can also
make models to predict discrete classes, and answer questions like “Is this A or B or
C?” This modeling task is called classification. We’ll continue our study of predictive
modeling with a linear model for classification tasks, called logistic regression.
Kaggle Challenge FT=40 Clock Hours/ PT=30 Clock Hours
We’ll continue our study of predictive modeling with tree-based models, such as
decision trees and random forests. We’ll also learn how to clean data with outliers,
impute missing values, encode categoricals, and engineer new features. This sprint,
your project is about water pumps in Tanzania. Can you predict which water pumps
are faulty?
Applied Modeling FT=40 Clock Hours/ PT=30 Clock Hours
For your portfolio project, you will choose your own labeled, tabular dataset, train a
predictive model, and publish a web app or blog post with visualizations to explain
your model. You will use your chosen dataset for all assignments during the Applied
Modeling sprint. You’ll learn how to define machine learning problems, begin the
modeling process, choose targets, choose evaluation metrics, and avoid leakage. You’ll
improve your model predictions with powerful models like gradient boosting and
feature selection techniques like hyperparameter optimization. You’ll improve your
model interpretation with insightful visualizations like partial dependence plots and
shapley value force plots. Applying predictive modeling to real decisions isn’t easy,
but these are the skills employers are looking for!
Job Sprint 2 FT=40 Clock Hours/ PT=30 Clock Hours
Review previous curriculum in preparation for assessments. Complete projects and
submit for review. Complete job search preparedness activities.
Software Engineering and Reproducible Research FT=40 Clock Hours/ PT=30 Clock
Hours
“A data scientist knows more about statistics than a software engineer, and more
about programming than a statistician.”
Being a data scientist means applying statistics and analysis of data, writing real
working code that runs and gets results. You’ve been doing that your entire time at
Lambda School, but much of our work has been in the land of Python notebooks, a
useful but limited environment intended for exploration, not engineering.
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Some place a divide between science and engineering – theory and practice, ideas
and application. A skilled data scientist masters both: science informs engineering,
and engineering increases the rigor of science by making it reproducible and scalable.
In this unit we will build the core skills needed to communicate and work with
software engineers. You may have pleasantly surprised colleagues if you not only
know the latest and greatest machine learning model but build and approach it with
software development best practices.
To do this, we will go beyond Python notebooks, into the world of modules, packages,
containers, and more.
SQL and Databases FT=40 Clock Hours/ PT=30 Clock Hours
What does “data” look like? If you try to picture it, you probably see rows and
columns on a spreadsheet or CSV, that can be conveniently loaded with pandas and
cleaned and analyzed from there. As a data scientist, this will often be the form you
want your data to be in, but it’s probably not how your data started.
Most modern data is generated automatically by human interaction with a
web-backed application – every app they download, every click they make, all travels
over a network and is saved by the server. Though in the rawest of forms this may be
a log file, in most cases where it really goes is a database.
So, what is a database? A place for data! If it’s relational, it’s actually still pretty close
to that rows and columns picture, though with some important additional
functionality. These databases are commonly accessed using SQL – Structured
Query Language – a standard based on relational algebra, and a useful tool known
not just by data scientists but by software engineers, MBAs, and more.
If it’s so-called “NoSQL,” then it’s most likely a document-oriented database (or
document store), which, despite the glamor, is essentially a bunch of key-value pairs.
What key-value pair object are you already familiar with? Python dicts!
In this sprint we will learn about both of the above paradigms, and how the
separation between them is not as fine a line as you may think.
Productization and Cloud FT=40 Clock Hours/ PT=30 Clock Hours
For a computer program to be “real”, it has to be available – these days, that means
deployed to the cloud. But what is the cloud, and what does it mean to build and
deploy something to it? We’ll learn that and more in this sprint.
Job Sprint 3 FT=40 Clock Hours/ PT=30 Clock Hours
Review previous curriculum in preparation for assessments. Complete projects and
submit for review. Complete job search preparedness activities.
Natural Language Processing FT=40 Clock Hours/ PT=30 Clock Hours
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A particularly common set of unstructured data is the sort of information you are
consuming right now – natural language, in written or spoken form.
Human language is a fascinating phenomenon and powerful expressive tool, but
despite the many rules of grammar language is not a fully defined deterministic
system in the same way that programming languages (like Python) are. Language can
be thought of as semi-structured, but even the structure it has (nouns, adjectives,
verbs, etc.) can be difficult to recognize. Most humans are fluent in one or more
languages, but even that fluency doesn’t mean they can explicitly list or consciously
understand the “rules” they are following.
Nonetheless, human language is the main form of content on the Internet (and
beyond), and the ability to computationally process it at scale can lead to many
compelling products. A brand may want to track the sentiment of users towards them
on social media before and after an advertising campaign, or a news service may
want to recognize key entities in a news story to generate a high-quality automated
summary. But text is not numbers, and even representing it as ASCII/Unicode
values doesn’t capture the meaning, just the abstract labeling of symbols. How can we
hope to achieve these sorts of tasks?
In this sprint we will learn assorted NLP (Natural Language Processing) techniques.
Many involve cleaning and preprocessing, which can then allow us to feed the data
into the more traditional statistical models we are familiar with. There are also more
advanced specialized models that are particularly conducive to NLP which we will
address.
Neural Network Foundations FT=40 Clock Hours/ PT=30 Clock Hours
Neural Networks, or the latest and greatest in predictive modeling. Or is it? Inspired
by biology and based on math that’s been around for decades, the past few years have
seen some pretty impressive results as computational resources allow running much
larger networks.
Major Neural Network Architectures FT=40 Clock Hours/ PT=30 Clock Hours
Now that you've learned the foundations of Neural Networks, it's time to go deep! All
"deep learning" really means is "there's at least some hidden layers," but there's a
great deal of variety both in the layer architecture and the behavior of individual
"neurons" in the network.
We'll study a few of the most effective recent innovations in neural networks and
deep learning and think a bit about what the future may hold. Is deep learning the
path to artificial general intelligence? Probably not – but it's a pretty useful tool along
the way.
Job Sprint 4 FT=40 Clock Hours/ PT=30 Clock Hours
Review previous curriculum in preparation for assessments. Complete projects and
submit for review. Complete job search preparedness activities.
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Prerequisite: Successful completion of all courses within Development Core
Prerequisite: Successful completion of all courses within Development Core
Applied CS 1 - 4 FT=160 Clock Hours/ PT=120 Clock Hours
Utilize computer science concepts to solve advanced programming problems and
develop technical problem solving strategies for use in the workplace. Apply technical
skills to job search and career readiness.
Prerequisite: Successful completion of all courses within Development Core
Labs 1 - Planning a Project FT=40 Clock Hours/ PT=30 Clock Hours
Students will learn how to break down product releases into individual tasks. Those
tasks will then be scoped and assigned to team members as part of the project plan.
Students will also learn to articulate tradeoffs for architectural and design decisions.
Labs 2 - Demonstrating Contribution FT=40 Clock Hours/ PT=30 Clock Hours
Through practice, students will learn to articulate their contributions to the team.
They will also learn to demonstrate how their contributions relate to the overall
product .
Labs 3 - Giving and Receiving Feedback FT=40 Clock Hours/ PT= 30 Clock Hours
Students will learn how to give appropriate feedback to their peers. Students will also
learn to articulate feedback from their peers to show how they’ve grown as a result of
that feedback .
Labs 4 - Presenting Your Work FT=40 Clock Hours/ PT=30 Clock Hours
Students will learn to articulate the overall process of planning and implementing a
product. They’ll learn to discuss the challenges of working in a complex and
fast-moving collaborative environment. Students will present their own personal
contributions to the overall product.
Required Program Length: 1440 hours / 36 weeks (Full Time)
Cumulative Final Exam: None
Graduation Document: Certificate Of Completion
Standard Occupational Codes / Potential Employment Titles: 15-1133
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Computer Science
Lambda Labs
ENTERPRISE BACKEND DEVELOPMENT
Sample of reported job titles: Computer Programmer, Software Developer, Web
Developer, Programmer, Software Engineer, Technology Applications Engineer, Web
Architect, Web Development Director, Web Development Instructor, Webmaster, Backend
Engineer, Backend Developer
Program Description:
This program teaches the foundations of backend development and computer
science. Students will learn backend development with some of the most in-demand
technologies. Upon completing the program, students will have worked on numerous
projects built with the same tools that companies of all sizes use. Additionally,
students will have engaged with the necessary Computer Science fundamentals to
succeed as a software engineer. This course of instruction prepares individuals for
entry-level software engineering and back-end developer jobs. Graduates may find
suitable employment with technology companies and traditional companies with the
need for back-end developers.
Program Objectives:
Upon successful completion of this program, the student should be able to:
● Convert a design into code and deliver it using best practices
● Write secure, testable, and maintainable code
● Understand when and why to use (or not) a broad range of data structures and
algorithms
● Create unit tests that thoroughly test functionality
● Create integration tests that verify end-to-end service integration
● Troubleshoot by debugging and reviewing errors, logfiles, and metrics
● Contribute to planning and design using a scrum process
● Demonstrate mastery of the program's objectives
Program Schedule: Mon-Fri 8 a.m. to 5 p.m. PT
Program Outline:
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Enterprise Backend
Development Core
Course Title
Lecture
Lab
Java Fundamentals 1
8
32
Java Fundamentals 2
8
32
Java Fundamentals 3
8
32
Job Sprint 1
0
40
Backend 1
8
32
Backend 2
8
32
Backend 3
8
32
Job Sprint 2
0
40
Backend 4
8
32
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Backend 5
8
32
Backend 6
8
32
Job Sprint 3
0
40
Backend 7
8
32
Backend 8
8
32
Backend 9
8
32
Job Sprint 4
0
40
Learn and Be Curious 1
6
34
Learn and Be Curious 2
6
34
Learn and Be Curious 3
6
34
Learn and Be Curious 4
6
34
Backend 10
8
32
Backend 11
8
32
Backend 12
8
32
Job Sprint 5
0
40
Backend 13
8
32
Backend 14
8
32
Backend 15
8
32
Job Sprint 6
0
40
Total Core Hours
168
952
Interview Preparation
Course Title
Lecture
Lab
Interview Preparation 1
8
32
Interview Preparation 2
8
32
Interview Preparation 3
8
32
Interview Preparation 4
8
32
Total Interview Preparation Hours:
32
128
Lambda Labs
Course Title
Lecture
Lab
Lambda Labs 1 - Capstone Project
Planning
5
35
Lambda Labs 2 - Project Execution I
5
35
Lambda Labs 3 - Project Execution II
5
35
Lambda Labs 4 - Project Completion
5
35
COURSE DESCRIPTIONS
Java Fundamentals 1 FT= 40 Clock Hours
Use a problem-solving framework and metacognitive strategies to solve problems,
ask questions in a way that ensures you get the help you need, use the command-line
and an IDE to interact with Java code, use Git and a continuous integration pipeline,
and complete code reviews.
Java Fundamentals 2 FT= 40 Clock Hours
Learn and apply the fundamentals of Java programming and object-oriented design.
Java Fundamentals 3 FT= 40 Clock Hours
Learn and apply the fundamentals of Java programming and object-oriented design.
Job Sprint 1 FT= 40 Clock Hours
Review previous curriculum in preparation for assessments. Complete projects and
submit for review. Complete job search preparedness activities.
Backend 1 FT= 40 Clock Hours
Develop the knowledge, skills, and attitudes necessary to perform as a backend
developer within the domains of Java programming, object-oriented design, data
structures and algorithms, testing, DynamoDB, software engineering, and
concurrency.
Backend 2 FT= 40 Clock Hours
Develop the knowledge, skills, and attitudes necessary to perform as a backend
developer within the domains of Java programming, object-oriented design, data
structures and algorithms, testing, DynamoDB, software engineering, and
concurrency.
Backend 3 FT= 40 Clock Hours
Develop the knowledge, skills, and attitudes necessary to perform as a backend
developer within the domains of Java programming, object-oriented design, data
structures and algorithms, testing, DynamoDB, software engineering, and
concurrency.
Job Sprint 2 FT= 40 Clock Hours
Review previous curriculum in preparation for assessments. Complete projects and
submit for review. Complete job search preparedness activities.
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Total Lambda Labs Hours:
20
140
Total Program Hours:
1440
Enterprise Backend Development
Backend 4 FT= 40 Clock Hours
Develop the knowledge, skills, and attitudes necessary to perform as a backend
developer within the domains of Java programming, object-oriented design, data
structures and algorithms, testing, DynamoDB, software engineering, and
concurrency.
Backend 5 FT= 40 Clock Hours
Develop the knowledge, skills, and attitudes necessary to perform as a backend
developer within the domains of Java programming, object-oriented design, data
structures and algorithms, testing, DynamoDB, software engineering, and
concurrency.
Backend 6 FT= 40 Clock Hours
Develop the knowledge, skills, and attitudes necessary to perform as a backend
developer within the domains of Java programming, object-oriented design, data
structures and algorithms, testing, DynamoDB, software engineering, and
concurrency.
Job Sprint 3 FT= 40 Clock Hours
Review previous curriculum in preparation for assessments. Complete projects and
submit for review. Complete job search preparedness activities.
Backend 7 FT= 40 Clock Hours
Develop the knowledge, skills, and attitudes necessary to perform as a backend
developer within the domains of Java programming, object-oriented design, data
structures and algorithms, testing, DynamoDB, software engineering, and
concurrency.
Backend 8 FT= 40 Clock Hours
Develop the knowledge, skills, and attitudes necessary to perform as a backend
developer within the domains of Java programming, object-oriented design, data
structures and algorithms, testing, DynamoDB, software engineering, and
concurrency.
Backend 9 FT= 40 Clock Hours
Develop the knowledge, skills, and attitudes necessary to perform as a backend
developer within the domains of Java programming, object-oriented design, data
structures and algorithms, testing, DynamoDB, software engineering, and
concurrency.
Job Sprint 4 FT= 40 Clock Hours
Review previous curriculum in preparation for assessments. Complete projects and
submit for review. Complete job search preparedness activities.
Learn and Be Curious 1 FT= 40 Clock Hours
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Practice learning and working through issues with new technologies. Self-reflection,
identifying when and where you should seek help, and how to solve novel and
ambiguous problems.
Learn and Be Curious 2 FT= 40 Clock Hours
Practice learning and working through issues with new technologies. Self-reflection,
identifying when and where you should seek help, and how to solve novel and
ambiguous problems.
Learn and Be Curious 3 FT= 40 Clock Hours
Practice learning and working through issues with new technologies. Self-reflection,
identifying when and where you should seek help, and how to solve novel and
ambiguous problems.
Learn and Be Curious 4 FT= 40 Clock Hours
Practice learning and working through issues with new technologies. Self-reflection,
identifying when and where you should seek help, and how to solve novel and
ambiguous problems.
Backend 10 FT= 40 Clock Hours
Develop the knowledge, skills, and attitudes necessary to perform as a backend
developer within the domains of Java programming, object-oriented design, data
structures and algorithms, testing, DynamoDB, software engineering, and
concurrency.
Backend 11 FT= 40 Clock Hours
Develop the knowledge, skills, and attitudes necessary to perform as a backend
developer within the domains of Java programming, object-oriented design, data
structures and algorithms, testing, DynamoDB, software engineering, and
concurrency.
Backend 12 FT= 40 Clock Hours
Develop the knowledge, skills, and attitudes necessary to perform as a backend
developer within the domains of Java programming, object-oriented design, data
structures and algorithms, testing, DynamoDB, software engineering, and
concurrency.
Job Sprint 5 FT= 40 Clock Hours
Review previous curriculum in preparation for assessments. Complete projects and
submit for review. Complete job search preparedness activities.
Backend 13 FT= 40 Clock Hours
Develop the knowledge, skills, and attitudes necessary to perform as a backend
developer within the domains of Java programming, object-oriented design, data
structures and algorithms, testing, DynamoDB, software engineering, and
concurrency.
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Backend 14 FT= 40 Clock Hours
Develop the knowledge, skills, and attitudes necessary to perform as a backend
developer within the domains of Java programming, object-oriented design, data
structures and algorithms, testing, DynamoDB, software engineering, and
concurrency.
Backend 15 FT= 40 Clock Hours
Develop the knowledge, skills, and attitudes necessary to perform as a backend
developer within the domains of Java programming, object-oriented design, data
structures and algorithms, testing, DynamoDB, software engineering, and
concurrency.
Job Sprint 6 FT= 40 Clock Hours
Review previous curriculum in preparation for assessments. Complete projects and
submit for review. Complete job search preparedness activities.
Prerequisite: Successful completion of all courses within Development Core
Interview Preparation 1 FT=40 Clock Hours
Develop general-purpose problem-solving skills, and learn about time and space
complexity.
Interview Preparation 2 FT=40 Clock Hours
Develop general-purpose problem-solving skills, and learn about time and space
complexity.
Interview Preparation 3 FT=40 Clock Hours
Develop general-purpose problem-solving skills, and learn about time and space
complexity.
Interview Preparation 4 FT=40 Clock Hours
Develop general-purpose problem-solving skills, and learn about time and space
complexity.
Prerequisite: Successful completion of all courses within Development Core
Labs 1 - Capstone Project Planning FT=40 Clock Hours
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Interview Preparation
Lambda Labs
Students will begin work on their large capstone project. They will breakdown the
tasks needed to complete the project, plan out a timeline, and begin work on the
project.
Labs 2 - Project Execution I FT=40 Clock Hours
Students will continue to work on their capstone project by completing the tasks they
outlined in the Capstone Project Planning sprint.
Labs 3 - Project Execution II FT=40 Clock Hours
Students will continue to work on their capstone project by completing the tasks they
outlined in the Capstone Project Planning sprint.
Labs 4 - Project Completion FT=40 Clock Hours
Students will complete all remaining tasks, fix bugs, document their project, and
showcase their project for graduation.
MANAGEMENT AND FACULTY
BOARD OF TRUSTEES
JOHN DANNER, Dunce Capital - Board Member
STEPHEN OSKOUI Managing Partner at Gigafund - Board Member
JESSICA VERRILLI, Partner at Google Ventures - Board Member
AUSTEN ALLRED, Co-Founder and CEO - Board Member
MANAGEMENT
AUSTEN ALLRED, Co-Founder/CEO
MOLLY GRAHAM, Chief Operating Officer
MARI NAZARY, Vice President of Learning
ALIONA DAMERON, Director of Instruction
AMBER ARTIAGA, Director – Student Success
MATTHEW WYNDOWE, Chief Business Officer
ZORAN Martinovic , VP of Business Development
JOHN YOW, General Counsel
XIMENA FLORES, Associate General Counsel
FACULTY
Andreas Bolos, Instructor – Full Stack Web Development
Weber State University - Bachelors of Integrated Studies
DevMountain - Full Immersion Web Certification Program
DevMountain - UI/UX After Hours Certification Program
5+ years of industry experience
Brit Hemming, Instructor – Full Stack Web Development
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4+ years of industry experience
Christopher Atoki, Instructor – Full Stack Web Development
2+ years of industry experience
David Kidd, Instructor – Full Stack Web Development
Devry Keller Graduate School of Management - Master of Science in Educational
Technology
Brigham Young University School of Information Technology - Bachelor of
Science in Technology Teaching Education
Gabriel Cabrejas, Instructor – Full Stack Web Development
Universidad de Navarra - Bachelor of Arts in Architecture
DevMountain – Certificate, Web Development DevMountain
20+ years of industry experience
Jacob Plumb, Instructor – Full Stack Web Development
5+ years of industry experience
James Cassidy, Instructor – Full Stack Web Development
University of California, Berkeley - Bachelor of Science in Mechanical
Engineering
5+ years of industry experience
Josh Jacobson
, Instructor – Full Stack Web Development
Northwestern University - Bachelor of Science in Computer Engineering, Minor
in Jazz Studies
7+ years of industry experience
Kieran Kozlowski, Instructor – Full Stack Web Development
University of Central Florida – Master of Science in Interactive Entertainment
Florida State University – Bachelor of Science in Anthropology
3 years of industry experience
Shweta Ruparel – Full Stack Web Development
Birla Institute of Technology and Science - Masters of Science in Software
Systems
North Gujarat University - Bachelor of Engineering in Electronics and
Communication
10+ years of industry experience
Pace Ellsworth, Instructor – Full Stack Web Development
Brigham Young University – Bachelor of Art in Linguistics
4 years of industry experience
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Petr Gazarov, Instructor - Full Stack Web Development
App Academy -
Full-stack web development Certificate Program
The New School - Bachelor of Fine Arts
6+ years of industry experience
Warren Longmire, Instructor - Full Stack Web Development
University of Pennsylvania - Bachelor of Science in Digital Media Design
Startup Institute - Web Development Track
4+ years of industry experience
Data Science
Brian Hu, Instructor – Data Science
University of Washington - Master of science in Computational Finance and Risk
Management
University of Texas Health Science Center - Doctor of Philosophy in Biostatistics
& Biotechnology
7 years of industry experience
Bruno Janoto, Instructor – Data Science
Harvard University – Graduate Certificate in Data Science
Rutgers, the State University of New Jersey – Bachelor of Science in Mechanical &
Aerospace Engineering
5 years of industry experience
Casey Harding – Data Science
Columbia College Chicago - Bachelor of Arts in English
3+ years of experience
Imran Mohommad – Data Science
Florida Atlantic University - Doctor of Philosophy in Computer Engineering
(Anticipated Completion 2022)
University Of Miami - Master of Business Administran
Osmania University - Bachelor of Engineering in Electronics & Communications
Engineering
25+ years of experience
James Blacklock – Data Science
Harvard University Extension School - Computer Science, Non-Degree Seeking
Patrick Henry College - Bachelor of Arts, Government/Strategic Intelligence
7+ years of experience
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Julian Oquendo – Data Science
General Assembly Data Science Immersive, -Certificate of Completion in Data
Science and Visualization
University of Virginia - Bachelor of Arts in English,
2+ years of experience
Pooja Thakur – Data Science
Ryerson University - PhD in Aerospace Engineering
University of Toronto - Master’s of Science in Aerospace Engineering
7 years of industry experience
Ryan Allred, Instructor – Data Science
Brigham Young University – Bachelor of Science in Economics
4 years of industry experience
Sai Nivedita Chandrasekaran, Instructor – Data Science
University of Kansas Kansas - Phd In Bioengineering with a focus in Machine
Learning Algorithms
New Jersey Institute of Technology - Master of Science in Electrical Engineering
Anna University - Bachelor of Engineering in Electronics And Communication
Engineering
11+ years of industry experience
Vignesh Narayanaswamy, Instructor - Data Science
University of Virginia - Master of Science in Systems Engineering
Emory University - Bachelor of Business Administration
7+ years of industry experience
Enterprise Backend Development
Byron Mackay Instructor – Enterprise Backend Development
Brigham Young University - Master of Science in Information Systems
Brigham Young University - Bachelor of Science in Information Systems
10+ years of industry experience
Computer Science
Artem Litchmanov, Instructor – Computer Science
University of Waterloo – Bachelor of Science in Computer Science
3 years of industry experience
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Jose (“Mari”) Batilando, Instructor - Computer Science
University of California, Berkeley - Bachelor of Arts in Computer Science
5+ years of industry experience
Timothy Roy, Instructor – Computer Science
Hack Reactor – Advanced Software Engineering Immersive
University of Texas Austin School of Law, Austin, TX – Juris Doctorate
Point Loma Nazarene University – Bachelor of Art in History
4+ years of industry experience
Tom Tarpey, Instructor – Computer Science
23 years of industry experience
Labs
Derek Peters, Instructor – Labs
King University – Master in Business Administration
King University – Bachelor of Arts in Business Management, & BTECH –
Computer Science Engineering
9 years of industry experience
Frank Fusco, Instructor – Bloom Institute of Technology's Labs
University of Central Florida - Bachelor of science in Computer Science
The Pennsylvania State University - Bachelor of Arts in Letters, Arts, and Sciences
5 years of industry experience
Ike Okonkwo,Instructor – Bloom Institute of Technology's Labs
Texas A&M University - Master of Engineering in Industrial & Systems
Engineering
Texas A&M University - Bachelor of Science in Electrical Engineering,
Truman State University - Bachelor of Arts in Physics
9 years of industry experience
Jake Mallory, Instructor – Labs
Weber State University – Bachelor of Science in Computer Science
Salt Lake Community College – Associate of Science in Computer Information
Salt Lake Community College – Associate of Science in General Studies
19 years of industry experience
Ryan Hamblin, Instructor – Labs
Utah Valley University – Bachelor of Science in Outdoor Recreation Management
DevMountain, Front End Web Development
Hack Reactor, Computer Software Engineering
5 years of industry experience
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GEORGIA RESIDENTS
For Georgia residents, you have the right to appeal the final institutional decision
to GNPEC. Contact information for the GNPEC is: 2082 E Exchange pl #220,
Tucker, GA 30084, 770.414.3300, https://gnpec.georgia.gov/consumer-resources/ .
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