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"The Computer Graphics Essential Reference"
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1. CG Fundamentals
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CS Computer Science Internship Provides on-the-job training supervised by computer scientists in industry internship programs approved by the department. May be repeated once but not for credit and requires approval of the department chair. CS Undergraduate Research I Supervised individual research project in a mentor-student relationship with a computer science faculty member.
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Cannot be given degree credit until the satisfactory completion of CS CS Undergraduate Research II Supervised individual research projects in a mentor-student relationship with a computer science faculty member. CS Computer Networks A survey of network architectures and their components. Emphasis will be on media access, network and transport layer protocols. CS Introduction to Data Mining This course covers fundamental concepts and techniques in data mining and information retrieval. Data mining topics include classification, cluster analysis and pattern mining.
Information retrieval topics include Boolean retrieval, vector space model, and Web search. CS Compiler Construction This course investigates theoretical and practical issues in the design and construction of modern compilers. Topics covered include lexical and syntactic analysis, syntax-directed translation, type checking, intermediate representation, code generation, and runtime systems.
A major portion of the course involves implementing a compiler from scratch for a C-like programming language. CS Human Factors of Computer Systems Principles and methods in human factors and ergonomics applied to the design and use of computer systems. CS Operating Systems This course covers the principles of operating systems, algorithms for CPU scheduling, memory management, cooperating sequential processes and device management.
CS Introduction to Database Systems Introduction to database concepts, data models, file structures, query languages, database management systems. CS Introduction to Artificial Intelligence An introduction to the basic concepts of artificial intelligence; search techniques, knowledge representation, problem solving. CS Introduction to Machine Learning Provides systematic introduction to machine learning, covering basic theoretical as well as practical aspects of the use of machine learning methods.