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CS 473: Artificial Neural Networks
3.00 Credits
California State University-San Marcos
Theory, algorithms and applications of artificial neural networks, their applications including pattern and speech recognition, system identification, signal processing, time series prediction, financial analysis and trading. May not be taken for credit by students who have received credit for CS 573. Prerequisite: CS 311.
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CS 473 - Artificial Neural Networks
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CS 475: Machine Learning
3.00 Credits
California State University-San Marcos
Machine learning algorithms and theory, decision-tree learning, neural networks, Bayesian approaches, genetic algorithms, reinforcement learning, computational learning theory. May not be taken for credit by students who have received credit for CS 575. Prerequisite: CS 311.
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CS 475 - Machine Learning
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CS 480: Introduction to Optimization
3.00 Credits
California State University-San Marcos
Study of Linear Programming, Goal Programming and Integer Programming. Programming methods include the simplex method and the Big M method. Theoretical aspects include optimality conditions, sensitivity analysis and duality. Also offered as MATH 480. Students may not receive credit for both. Enrollment Requirement: CS 211. Prerequisite: MATH 374.
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CS 480 - Introduction to Optimization
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CS 485: Game Programming
3.00 Credits
California State University-San Marcos
Introduction to the concepts of game development and game modeling and programming through developing playable 2D/3D games using a modern game engine. Includes the framework and roles in a team for game development, programming skills of using a game engine and modeling skills of creating 3D models with animation tools. Prerequisite: CS 311.
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CS 485 - Game Programming
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CS 495: Internship in Computer Science
3.00 Credits
California State University-San Marcos
Faculty-sponsored academic internship in business, industrial, government, or research firm. Enrollment restricted to students who have obtained consent of faculty sponsor.
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CS 495 - Internship in Computer Science
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CS 497: Topics in Computer Science
3.00 Credits
California State University-San Marcos
Introductory or advanced topics in Computer Science for undergraduate students. May be repeated as topics change for a total of six (6) units. Students should check the Class Schedule for listing of actual topics. Enrollment restricted to students who have obtained consent of instructor.
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CS 497 - Topics in Computer Science
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CS 498A(1)498B(2)498C: Individual Study in Computer Science
3.00 Credits
California State University-San Marcos
Individually directed reading and study in Computer Science literature. May be repeated for a maximum of three (3) units. Enrollment restricted to students with Senior standing in Computer Science. Enrollment restricted to students who have obtained consent of supervising instructor.
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CS 498A(1)498B(2)498C - Individual Study in Computer Science
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CS 499A(1)499B(2)499C: Independent Research in Computer Science
3.00 Credits
California State University-San Marcos
Designed for students capable of independent and original research. May be repeated for a maximum of three (3) units. Enrollment restricted to students with Senior standing in Computer Science. Enrollment restricted to students who have obtained consent of supervising instructor.
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CS 499A(1)499B(2)499C - Independent Research in Computer Science
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CS 513: Analysis of Algorithms
3.00 Credits
California State University-San Marcos
Study of algorithms; efficient, optimal algorithms and analysis for best, worst, and average performance; computational complexity theory; algorithmic time and space bounds; levels of intractability; applications. May not be taken for credit by students who have received credit for CS 413. Enrollment Requirement: CS 270. Prerequisite for undergraduates and enrollment requirement for graduate students: CS 311 and 370.
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CS 513 - Analysis of Algorithms
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CS 514: Algorithms for Parallel Processing
3.00 Credits
California State University-San Marcos
Techniques for writing programs for multiprocessors. Includes data partitioning and functional partitioning for algorithms to be used on Single Instruction-Multiple Data Computers and on Multiple Instruction- Multiple Data Computers. May not be taken for credit by students who have received credit for CS 414. Prerequisite for undergraduates and enrollment requirement for graduate students: CS 311.
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CS 514 - Algorithms for Parallel Processing
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