Undergraduate Major Computer Science

Master

In Ithaca (USA)

Price on request

Description

  • Type

    Master

  • Location

    Ithaca (USA)

As a computer science major, you’ll learn algorithmic ways of thinking and study the elements of computing and information technology such as system design, problem specification, programming, and the modeling, analysis and evaluation of complex systems. You’ll also learn the many applications of computing in science, engineering and business, and have the opportunity to take classes and do research in such areas as artificial intelligence, robotics, computational logic, computer architecture, computer graphics, computer vision, computing systems, databases and digital libraries, machine learning, natural language processing, networks, programming languages and compilation, scientific computing, security and theory of computation.

Facilities

Location

Start date

Ithaca (USA)
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Ithaca, Nueva York 14850, EE. UU., 14850

Start date

On request

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This centre's achievements

2019

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 5 years

Subjects

  • Programming
  • Engineering
  • Systems
  • University
  • Graphics
  • CS
  • Logic
  • Networks
  • Artificial Intelligence
  • Computing
  • Accounts

Course programme

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

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 for the CS major in either the College of Arts and Sciences or the College of Engineering are as follows:

Computer Science course requirements (see chart for prerequisite structure of CS courses):

  • CS practicums (CS 4xx1) or CS 3152, CS 4152, CS 4154, CS 4740, CS 4752, CS 5150, CS 5152, CS 5412, CS 5414, CS 5431, CS 5625, or CS 5643
  • For suggestions on how to select a set of electives that reflect one of a number of coherent, recognized sub-areas of study in computer science, see the material on Vectors.

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

  • 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.)
  • A Bachelors of Science for students in the College of Engineering.
  • A Bachelors of Arts for students in the College of Arts and Sciences.
  • Neither program has a particular advantage from the standpoint of employment or graduate school.

    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.

    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.

  • A student assumes responsibility for the content and integrity of the academic work he/she submits, such as papers, examinations, or reports.
  • uses or obtains unauthorized assistance in any academic work.
  • forges a signature to certify completion or approval of a course assignment.
  • in any other manner violates the principle of absolute integrity.
  • 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.

    Undergraduate Major Computer Science

    Price on request