Summer 2021 Semester FAQ
Why is there a summer semester this year? Will Cornell Tech offer summer semesters in the future?
Cornell Tech is offering a Summer semester in 2021 for students who were not able to complete credit and residency requirements by the end of Spring 2021 due to circumstances outside of their control. Cornell Tech will not offer a summer semester in the future.
Who is eligible to take summer courses?
Graduating Master’s students who have not completed degree requirements by the end of spring 2021 and first year Jacobs students who require a summer course to establish residency are eligible to enroll in the Summer semester.
If I meet graduation requirements, can I still enroll in summer courses?
If you have met your graduation requirements by the end of the Spring you will graduate in May and will not be eligible for a no-tuition summer semester. May graduates will be able to take summer courses (space permitting) as a visiting student, and will be charged for extra courses at the per credit rate (expected to be $2,400-3,000).
It is your responsibility to ensure that you meet your graduation requirements on time. If your planning includes the summer semester, it is your responsibility to ensure that you qualify for that semester and that you will meet your graduation requirements by the end of that semester.
Will I have to pay for summer courses?
Students taking courses to meet graduation requirements, or first year Jacobs students establishing residency will not be charged summer tuition. If a course awards more credits than needed to complete degree requirements, the student will not be charged for the extra credits for that given course.
Students who are taking additional courses after meeting graduation requirements will be charged for extra courses at the per credit rate (expected to be $2,400-3,000).
How do I enroll in classes?
The Student Services team will manually enroll students in courses using responses on the Summer Class Confirmation Form. This form was sent on 2/09/2021, and is due Friday, February 26th at 12pm ET. If this form is not submitted, students are not guaranteed to be enrolled for the summer.
What implications does this have for International Students?
For international students who need a second semester of residency, the summer semester will count towards one semester of residency.
For graduating students who need to take a course to meet graduation requirements, I-20s will be extended to the summer 2021 graduation date, August 16, 2021. Students will be able to begin applying for OPT 90 days prior to the August 16, 2021 graduation date. Students graduating in the summer will not be eligible for CPT after completing courses in the semester as there will not be an academic need.
For more information, please refer to OPT information on the Office of Global Learning website.
Will courses be offered online, or in person?
All courses will be hybrid with an in-person component for students who need it. Students who do not need an in-person component are able to take the courses entirely online.
How many classes should I take in Spring 2021?
Students must take a full course load of at least 12 credits in the Spring.
How does this impact my graduation?
Students taking summer classes to meet graduation or residency requirements will have a graduation date of August 16, 2021 (instead of May 30, 2021). All 2021 graduating students will be able to participate in the Spring 2021 Recognition Ceremony, regardless of graduation date.
Does this impact my Student Health Plan?
Students who are graduating in May will be sent a notification in April from the SHP Team about filling out an application to extend SHP. Students who are taking classes though the summer in order to graduate in August will receive communication in July about filling out an application to extend SHP.
COURSES AND ELIGIBILITY
I’m a first-year Jacobs student who needs to enroll in a summer course to meet residency requirements! What course am I eligible to enroll in?
First-year Jacobs students are eligible to enroll in INFO 5365 : Responsible AI, Ethics, Law, and Society (3 credits).
I’m an MEng or 2nd year Jacobs student. What courses am I eligible to enroll in?
MEng or 2nd year Jacobs students are eligible to enroll in CS 5830: Cryptography (3 credits) and ORIE 5250: Business Applications of Optimization (3 credits) if they have met the prerequisites. Please review the prerequisites in the class descriptions below.
I’m an LLM student. What courses am I eligible to enroll in?
LLM students are eligible to enroll in INFO 5365 : Responsible AI, Ethics, Law, and Society (3 credits) or CS 5830: Cryptography (3 credits) if they have met the prerequisites. Please review the prerequisites in the class descriptions below.
I’m an MBA student. What courses am I eligible to enroll in?
MBA students are eligible to enroll in CS 5830: Cryptography (3 credits) if they have met the prerequisites. Please review the prerequisites in the class descriptions below. Johnson Cornell Tech MBA’s who need additional business classes to graduate should reach out to their Program Director ASAP.
Full Details on CS 5830: Cryptography
Eligible students: All Cornell Tech students (except first year Jacobs students who need residency requirements) who have met the prerequisites
Prerequisites: CS 2800 or equivalent, CS 4810 or mathematical maturity, or permission of instructor.
Instructors: Tom Ristenpart (Cornell Tech)
Date: 6 week course May 27th-July 13th M,T,W,R,F 10:30am-11:45am
Description: Introductory course in Cryptography. Topics include one-way functions, encryption, digital signatures, pseudo-random number generation, zero-knowledge and basic protocols. The emphasis will be on fundamental notions and constructions with proofs of security based on precise definitions and assumptions.
Full Details on ORIE 5250: Business Applications of Optimization
Eligible Students: This is an advanced master class for technical students (except for first year Jacobs students who need residency requirements) who have met prerequisites
Prerequisites: ORIE 5380/CS 5727: Optimization models. Students should also have some basic background on probability and machine learning and be comfortable with a programming language such as Python or Java. It’s also preferable, but not required, that students have taken (ORIE 5530: Modeling under uncertainty), or another equivalent class on stochastic modeling.
Instructor: Omar El Housni (Cornell Tech)
Date: 3 week course May 27th-June 21st M,T,W,R,F 1:00pm-3:30pm
Description: Optimization models and methods are used to make businesses more efficient and cost effective. In this class, we will learn how to build and solve optimization models to make both strategic and operational decisions, and how to use data effectively to implement these models. We will cover business applications and problems such as pricing (how to price a product for retail?), choice modeling (how to estimate customers preferences in an online retail platform?), facility location (where to open warehouses and fulfillment centers?) and matching problems (how to match drivers to riders for example in the ride-sharing business?). The class will discuss both discrete optimization models that are used for instance in matching problems, and continuous optimization models that are used for instance in pricing. We will explore a few case studies to illustrate and identify opportunities in which optimization and business analytics can be used. Furthermore, the students will work on projects, on topics related to operations, pricing, and revenue management, to identify and solve a business problem using data.
Full Details on INFO 5365 : Responsible AI, Ethics, Law, and Society
Eligible students: First year Jacobs and LLM students
Instructors: Professor Helen Nissenbaum (Cornell Tech); Professor Avigdor Gal (Technion), Professor Niva Elkin-Koren (Tel Aviv University Faculty of Law)
Date: 3 week course. May 27-June 17th M,T,Th 9:30am-1:30pm
Description: the deployment of Artificial Intelligence systems in multiple domains of society raises fundamental challenges and concerns, such as accountability, liability, fairness, transparency and privacy. The dynamic nature of AI systems requires a new set of skills informed by ethics, law, and policy to be applied throughout the life cycle of such systems: design, development and deployment. It also involves ongoing collaboration among data scientists, computer scientists, lawyers and ethicists. Tackling these challenges calls for an interdisciplinary approach: deconstructing these issues by discipline and reconstructing with an integrated mindset, principles and practices between data science, ethics and law. This course aims to do so by bringing together students with diverse disciplinary backgrounds into teams that work together on joint tasks in an intensive series of in-class sessions. These sessions will include lectures, discussions, and group work.