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[学校名称] Cornell University
[项目名称] MEng
[项目主页] http://www.cs.cornell.edu/masters. 1point3acres
[网申入口] http://gradschool.cornell.edu/admissions/applying/apply-now
[申请截止日期] February 1st
[GT最低要求] 要 GRE
TOEFL: Minimum IBT Scores required for admission to Cornell are as follows:
15 – Listening
20 – Writing. check 1point3acres for more.
20 – Reading
22 – Speaking.
Be aware, that if you are an international applicant and your TOEFL scores do not meet our minimum requirements, especially in the four separate areas of the IBT format of the exam, unfortunately you will not be considered for admission. These minimum scores are set by the Cornell Graduate School and all graduate fields at Cornell must adhere to them. There will be no exceptions.
[申请费] $95
[其他]
A bachelor's degree (BA / BS / BE) in computer science or a related technical field (e.g., electrical and computer engineering, information science, operations research) typically suffices. Applicants who have majored in other fields are absolutely encouraged to apply provided they have demonstrated knowledge of the following subjects:
Object-Oriented Programming and Data Structures (e.g., CS 2110) Intermediate programming in a high-level language and introduction to computer science. Topics include program structure and organization, object-oriented programming (classes, objects, types, sub-typing), graphical user interfaces, algorithm analysis (asymptotic complexity, big “O” notation), recursion, data structures (lists, trees, stacks, queues, heaps, search trees, hash tables, graphs), simple graph algorithms. Java is the principal programming language.
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Data Structures and Functional Programming (e.g., CS 3110) Advanced programming course that emphasizes functional programming techniques and data structures. Programming topics include recursive and higher-order procedures, models of programming language evaluation and compilation, type systems, and polymorphism. Data structures and algorithms covered include graph algorithms, balanced trees, memory heaps, and garbage collection. Also covers techniques for analyzing program performance and correctness. NOTE: Although knowledge of functional programming is not essential, advanced knowledge of data structures is.
Computer System Organization and Programming (e.g., CS 3410) An introduction to the design of embedded systems, with an emphasis on understanding the interaction between hardware, software, and the physical world. Topics covered include assembly language programming, interrupts, I/O, concurrency management, scheduling, resource management, and real-time constraints.
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Discrete Structures (e.g., CS 2800) Covers the mathematics that underlies most of computer science. Topics include mathematical induction; logical proof; propositional and predicate calculus; combinatorics and discrete mathematics; some basic elements of basic probability theory; basic number theory; sets, functions, and relations; graphs; and finite-state machines. These topics are discussed in the context of applications to many areas of computer science, such as the RSA cryptosystem and web searching.
Basic Calculus and Linear Algebra Functions and graphs, limits and continuity, differentiation and integration, volume and arc length, infinite sequences and power series, parametric equations, partial derivatives, double and triple integrals, line and surface integrals, vector fields, gradients and Jacobians, matrices, determinants, vector spaces, linear systems, least squares, eigenvalues and eigenvectors, orthogonality and inner product spaces.
Q: My undergraduate degree was in physics (or math or mechanical engineering etc.,) but I've taken some CS courses and I'm think I'm ready for your program. Can I apply? Yes, we are happy to consider your application. It might be useful for those whose undergraduate studies were not in CS or for those who have been away from Computer Science for a number of years to take the CS subject GRE to represent their abilities. Additionally, we expect to see from your transcripts that you have taken courses that are equivalent to
CS 2110 - Object-Oriented Programming and Data Structures
CS 3110 - Data Structures and Functional Programming
CS 2800 - Discrete Structures
CS 3410 - Computer System Organization and Programming. check 1point3acres for more.
. check 1point3acres for more.
Applicants should have a solid background in Object oriented programming, functional programming, discrete structures, data structures and architecture either through courses or documented real life experience. |
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