पाठ्यक्रम परिवर्तनशीलता

पाठ्यक्रमबारे सारश

This program is an integrated curriculum consisting of a broad core of 10 foundational courses, three calculus courses, and an upper-level track of 10 advanced courses chosen from one of five elective tracks for a total of 71 or 72 points. Upper-level students in computer science may assist faculty members in research projects. Graduates of the computer science program can step into career positions in industry or government, or continue their education in graduate or professional degree programs in a wide range of disciplines. The computer science curriculum at Columbia places equal emphasis on theoretical computer science and mathematics and on experimental computer technology. A broad range of upper-level courses is available in such areas as artificial intelligence, computational complexity and the analysis of algorithms, combinatorial methods, computer architecture, computer-aided digital design, computer communications, databases, mathematical models for computation, optimization, and software systems.

कार्यक्रमका खाकाहरू

The modules include CS I: Intro to Computer Science and Programming in Java (COMS W1004), CS II: Object-Oriented Programming and Design in Java (COMS W1007 or W1009), Advanced Programming (COMS W3157), Data Structures and Algorithms (COMS W3137 or W3139), Discrete Mathematics (COMS W3203), Scientific Computing (COMS W3210), Computational Linear Algebra (COMS W3251), Computer Science Theory (COMS W3261), Fundamentals of Computer Systems (CSEE W3827), Probability and Statistics (IEOR W4150 or SIEO W3600), COMS W4231 (CSOR W4231) Analysis of Algorithms, I, COMS W4236 Introduction to Computational Complexity, COMS W4241 Numerical Algorithms and Complexity, Two breadth courses: Any two 3-point COMS 3000- or 4000-level courses except those in the CS core or in the required or elective courses for this track: Any five elective courses from this list: COMS W4203 Graph Theory, COMS W4205 Combinatorial Theory, COMS W4252 Introduction to Computational Learning Theory, COMS W4261 Introduction to Cryptography, COMS W4281 Introduction to Quantum Computing, COMS W4444 Programming and Problem Solving, COMS W4771 Machine Learning, COMS W4772 (E6772) Advanced Machine Learning, COMS W4995 Math Foundations of Machine Learning, COMS E6232 Analysis of Algorithms II, COMS E6261 Advanced Cryptography, COMS E6717 Information Theory, COMS E6998 Approximation Algorithms.

अन्तर्राष्ट्रिय विद्यार्थीहरू प्रवेशको लागि आवश्यकता

Students must submit all academic records for the last four years of secondary school, all national examination results (such as "0" levels, "A" levels, baccalaureate, abitur, international baccalaureate, etc.), and a diploma showing proof of graduation, if available at the time of application. If students first language is not English or if they have received a bachelor's degree from a country where English is not the official language, they will be required to submit a current score of the Test of English as a Foreign Language (TOEFL). A minimum score of 600 on paper-based test , 250 on computer based test and 100 on internet-based test is necessary for admission to Columbia. A minimum IELTS score of 7.0 is also required.

योग्यता

इन्डिपेन्डेन्ट मेजर

प्रदान गर्ने निकाय

Columbia University

विभागको नाम

Fu Foundation School of Engineering and Applied Science, Department of Computer Science