Arts vs. Engineering Degree · Becoming a CS Major · Academic Integrity Code

General Description

Computer science majors take courses covering algorithms, data structures, logic, programming languages, systems, and theory. Electives include artificial intelligence, computer graphics, computer vision, cryptography, databases, networks, and scientific computing.

Requirements that are common between the degree program in the College of Arts and Sciences and the College of Engineering are as

a calculus sequence (note different college requirements)

  • Math 1110-1120/1120-2210 (A&S)
  • Math 1910-1920-2940 (ENGR or A&S)
 

introductory programming

  • CS 111x* (CS 1110, 1112, 1114, or 1115)
  • CS 2110 (or CS 2112)

* Engineering students that took a CS 111x course prior to fall 2012 must also take CS 1130 or 1132

 
 

a five-course computer science core

  • CS 2800
  • CS 3110
  • CS 3410 or CS 3420
  • CS 4410
  • CS 4820
 

three 4000+ CS electives each at three credits

  • With the following exceptions: CS 4090, CS 4998, and CS 4999 are NOT allowed
 

CS project course

  • CS 4121
  • CS 4321
  • CS 4411
  • CS 4621
  • CS 4701
  • CS 4758
  • CS 5150
  •  CS 5152
  • CS 5412
  • CS 5414
  • CS 5431
  • CS 5625
  • CS 5643
  • CS 6670
 
three 3000+ courses that are technical in nature (3 credit min per course)  
three 3000+ related courses that are outside of Computer Science and total at least nine credits (3 credit min per course) external specialization  
3 credits major-approved elective(s)  

In addition, students' course selections must satisfy the two requirements listed below. Note that courses used to satisfy these requirements are not extra but can be incorporated inot the major requirements listed above, where applicable. 

  1. a probability course: one of BTRY 3080, CS 4850, ECE 3100, ECON 3130, ENGRD 2700 or MATH 4710. (Choosing a 3000+ level course among these options is strongly recommended.)
  2. complete one vector. Vectors are CS-centric specializations. The current set of vectors include artificial intelligence, computational science and engineering, data-intensive computing, graphics, human-language technologies, network science, programming languages, security and trustworthy systems, software engineering/code warrior, systems, theory, and a broad Renaissance vector. Detailed information on the requirements of each vector is available here.

Two undergraduate degrees are offered:

Neither program has a particular advantage from the standpoint of employment or graduate school.

Department Policy on Academic Integrity

Violations of the Cornell University Code of Academic Integrity occurring in Computer Science courses are taken very seriously by the Computer Science faculty. Therefore, it is necessary to impress upon students the gravity of violations of the Code. The following are excerpts from a longer version of the Cornell University Code of Academic Integrity. The exclusion of any part does not excuse ignorance of the Code.

Principle

Absolute integrity is expected of every Cornell student in all academic undertakings; he/she must in no way misrepresent his/her work fraudulently or unfairly advance his/her academic status, or be a party to another student's failure to maintain academic integrity. The maintenance of an atmosphere of academic honor and the fulfillment of the provisions of this Code are the responsibilities of the students and faculty of Cornell University. Therefore, all students and faculty members shall refrain from any action that would violate the basic principles of this Code.

General Responsibilities

  1. A student assumes responsibility for the content and integrity of the academic work he/she submits, such as papers, examinations, or reports.
  2. A student shall be guilty of violating the Code and subject to proceedings under it if he/she:
    •  knowingly represents the work of others as his/her own.
    •  uses or obtains unauthorized assistance in any academic work.
    •  gives fraudulent assistance to another student.
    •  fabricates data in support of laboratory or field work.
    •  forges a signature to certify completion or approval of a course assignment.
    •  in any other manner violates the principle of absolute integrity.

Specific Remarks for Students in CS Courses

Unless otherwise specified by the individual professor, the work you do in Computer Science courses is expected to be the result of your individual effort - the use of a computer in no way modifies the normal standards of the above Code. You may discuss work with other students, and give or receive "consulting" help from other students, but such permissible cooperation should never involve one student having in his or her possession a copy of all or part of another student's assignment - regardless of whether that copy is on paper, on a computer disk, or in a computer file. This implies that there is no legitimate reason to send a copy of a program from one computer account to another, or to be logged-on to another student's account.

Discussion of general strategy or algorithms is permissible, but you may not collaborate in the detailed development or actual writing of an assignment. It is also your responsibility to protect your work from unauthorized access. It is inadvisable to discard copies of your programs in public places. This applies to both hand-written and programming assignments.

The penalty for any violation of this Code in Computer Science courses may be failure in the course. This includes collaboration, providing a copy, or accepting a copy of work that is expected to be individual effort.

Computer accounts are provided for course work only. They are not private accounts; they belong to the Department of Computer Science and the use of these accounts will be monitored in various ways. Accounts that are abused will be withdrawn.