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COS 333: Advanced Programming Techniques
0.00 - 4.00 Credits
Princeton University
This is a course about the practice of programming. Programming is more than just writing code. Programmers must also assess tradeoffs, choose among design alternatives, debug and test, improve performance, and maintain software written by themselves & others. At the same time, they must be concerned with compatibility, robustness, and reliability, while meeting specifications. Students will have the opportunity to develop these skills by working on their own code and in group projects.
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COS 333 - Advanced Programming Techniques
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COS 340: Reasoning about Computation
0.00 - 4.00 Credits
Princeton University
An introduction to mathematical topics relevant to computer science. Combinatorics and probability will be covered in the context of computer science applications. The course will present a computer science approach to thinking and modeling through topics such as dealing with uncertainty in data and handling large data sets. Students will be introduced to fundamental concepts such as NP-completeness and cryptography that arise from the world view of efficient computation.
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COS 340 - Reasoning about Computation
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COS 375: Computer Architecture and Organization
0.00 - 4.00 Credits
Princeton University
An introduction to computer architecture and organization. Instruction set design; basic processor implementation techniques; performance measurement; caches and virtual memory; pipelined processor design; design trade-offs among cost, performance, and complexity.
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COS 375 - Computer Architecture and Organization
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COS 397: Junior Independent Work (B.S.E. candidates only)
0.00 - 4.00 Credits
Princeton University
Provides an opportunity for a student to concentrate on a "state-of-the-art" project in computer science. Topics may be selected from suggestions by faculty members or proposed by the student. The final choice must be approved by the faculty advisor.
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COS 397 - Junior Independent Work (B.S.E. candidates only)
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COS 402: Artificial Intelligence
0.00 - 4.00 Credits
Princeton University
The fundamental principles, algorithms and techniques of modern artificial intelligence research and practice. Likely topics include: problem solving using search, game playing, logical inference, probabilistic reasoning in the presence of uncertainty, hidden Markov models, speech recognition, Markov decision processes, machine learning.Two 90-minute lectures.
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COS 402 - Artificial Intelligence
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COS 423: Theory of Algorithms
0.00 - 4.00 Credits
Princeton University
Design and analysis of efficient data structures and algorithms. General techniques for building and analyzing algorithms. Introduction to NP-completeness.
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COS 423 - Theory of Algorithms
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COS 426: Computer Graphics
0.00 - 4.00 Credits
Princeton University
Introduction to computer graphics. Topics include image synthesis, 3D modeling, image processing and animation. Encourage hands-on experience.
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COS 426 - Computer Graphics
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COS 432: Information Security
0.00 - 4.00 Credits
Princeton University
Security issues in computing, communications, and electronic commerce. Goals and vulnerabilities; legal and ethical issues; basic cryptology; private and authenticated communication; electronic commerce; software security; viruses and other malicious code; operating system protection; trusted systems design; network security; firewalls; policy, administration and procedures; auditing; physical security; disaster recovery; reliability.
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COS 432 - Information Security
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COS 435: Information Retrieval, Discovery, and Delivery
0.00 - 4.00 Credits
Princeton University
This course examines the methods used to search for information in large digital collections (e.g. Google) and how digital content is gathered by search engines. We study classic techniques of indexing documents and searching text and also new algorithms that exploit properties of the Web (e.g. links) and other digital collections, including multimedia collections. Techniques include those for relevance and ranking of documents, exploiting user history, and information clustering. We also examine systems aspects of search technology: how distributed computing and storage are used to make information delivery efficient.
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COS 435 - Information Retrieval, Discovery, and Delivery
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COS 441: Programming Languages
0.00 - 4.00 Credits
Princeton University
A hands-on introduction to the use of formal methods for reasoning about software, and for specifying and reasoning about programming languages. Students will use an interactive proof assistant to learn about logic and its applications to proofs of program correctness, to operational and axiomatic semantics of programming languages, and to type systems. Also, an introduction to functional programming languages.
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COS 441 - Programming Languages
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