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Computer Science 12L: Computer Programming Laboratory
2.00 Credits
University of California-Santa Cruz
Laboratory sequence complementing topics taught in course 12A by providing training and exposure to several software development tools and practices not covered in course 12A. In addition, the lab provides an initial exposure to a second programming language to reinforce concepts from course 12A. Prerequisite(s): eligibility to enroll in Mathematics 19A (Mathematics 2B or 3 or 40 or higher on mathematics placement exam) or completion of Mathematics 11A or 19A or Economics 11A or AMS 3 or 11A. Previous or concurrent enrollment in 12A required. The Staff, D. Bailey, P. Tantalo, W. Mackey, D. Long, C. Flanagan, C. McDowell
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Computer Science 12L - Computer Programming Laboratory
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Computer Science 12M: Data Structures Laboratory
2.00 Credits
University of California-Santa Cruz
Complements course 12B, gaining additional competence with a number of important software development tools, languages, and techniques. Included are advanced Unix features and utilities such as grep, find, diff, the shell, and pipes; C programs utilizing I/O, arrays, pointers, and structures; a scripting language to perform simple text and file manipulation; and the make utility. Prerequisite(s): courses 12A and 12L. Concurrent enrollment in course 12B required. P. Tantalo, W. Mackey
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Computer Science 12M - Data Structures Laboratory
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Computer Science 130: Computational Models
1.25 Credits
University of California-Santa Cruz
Various representations for regular languages, context-free grammars, normal forms, parsing, pushdown automata, pumping lemmas, Turing machines, the Church-Turing thesis. Prerequisite(s): course 101. D. Bailey, M. Warmuth, R. Levinson, P. Kolaitis
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Computer Science 130 - Computational Models
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Computer Science 132: Computability and Computational Complexity
1.25 Credits
University of California-Santa Cruz
Turing machines, general phase-structure grammars, the Chomsky hierarchy, recursive functions, diagonalization, the Halting problem, computability and unsolvability, computational complexity, time and space bounds, NP-completeness with emphasis on reductions between problems from various areas. Prerequisite(s): course 130. M. Warmuth, A. Van Gelder, P. Kolaitis, D. Helmbold
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Computer Science 132 - Computability and Computational Complexity
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Computer Science 13H: Introduction to Programming and Data Structures
1.25 Credits
University of California-Santa Cruz
Provides an accelerated introduction to programming and data structures. Includes a review of basic programming, including loop and conditional control structures, procedures and parameter passing, and arrays. Course goes on to cover same material as course 12B. Students cannot receive credit for this course and course 12A or 12B. Prerequisite(s): interview only; students must have completed a high school or college level programming course in Java, C, or C++. A short oral examination given to ascertain programming level. Concurrent enrollment in course 13L required. Enrollment limited to 25. (General Education Code(s): IN.) S. Brandt, D. Long
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Computer Science 13H - Introduction to Programming and Data Structures
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Computer Science 13L: Introduction to Programming and Data Structures Laboratory
2.00 Credits
University of California-Santa Cruz
Provides accelerated introduction to practical aspects of programming and data structures. Covers three areas: 1) common programming tools, including Unix commands, compilers and linkers, editors, debuggers, and Makefiles; 2) basic programming techniques, including design, testing, and debugging; and 3) C programming, focusing on the major differences between C and Java. Previous or concurrent enrollment in course 13H required. Prerequisite(s): interview only; students must have completed a high school or college level programming course in Java, C, or C++. A short oral examination given to ascertain programming level. S. Brandt, D. Long
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Computer Science 13L - Introduction to Programming and Data Structures Laboratory
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Computer Science 140: Artificial Intelligence
1.25 Credits
University of California-Santa Cruz
Introduction to the contemporary concepts and techniques of artificial intelligence, including any or all of: machine perception and inference, machine learning, optimization problems, computational methods and models of search, game playing and theorem proving. Emphasis may be on any formal method of perceiving, learning, reasoning, and problem solving which proves to be effective. This includes both symbolic and neural network approaches to artificial intelligence. Issues discussed include symbolic versus nonsymbolic methods, local versus global methods, hierarchical organization and control, and brain modeling versus engineering approaches. Lisp or Prolog may be introduced. Involves one major project or regular programming assignments. Prerequisite(s): course 101 and one of the following: course 130, Computer Engineering 177, or Mathematics 115. I. Pohl, R. Levinson
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Computer Science 140 - Artificial Intelligence
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Computer Science 142: Machine Learning and Data Mining
1.25 Credits
University of California-Santa Cruz
Introduction to machine learning algorithms and their applications. Topics include classification learning, density estimation and Bayesian learning regression, and online learning. Provides introduction to standard learning methods such as neural networks, decision trees, boosting, and nearest neighbor techniques. Prerequisite(s): course 101 and one of Applied Mathematics and Statistics 5, 7, 113, 131, or Computer Engineering 107. Enrollment limited to 50. M. Warmuth, D. Helmbold
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Computer Science 142 - Machine Learning and Data Mining
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Computer Science 146: Game AI
1.25 Credits
University of California-Santa Cruz
Course provides a comprehensive introduction to the use of artificial intelligence (AI) in computer games. Building on fundamental principles of AI, course explains how to create non-player characters (NPCs) with progressively more sophisticated capabilities. Prerequisite(s): course 101; familiarity with C++. Enrollment restricted to sophomores, juniors, seniors, and graduate students. Enrollment limited to 50. The Staff, I. Pohl, J. Funge, M. Mateas
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Computer Science 146 - Game AI
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Computer Science 148: Interactive Storytelling.W
1.25 Credits
University of California-Santa Cruz
Covers a range of design approaches and technologies including storytelling in games, interactive fiction, interactive drama, and artificial intelligence-based story generation. Through a mixture of readings, assignments, and project work, students explore the theoretical positions, debates, and technical and design issues arising from these approaches. Students may not receive credit for this course and course 248. Prerequisite(s): course 101. Enrollment restricted to juniors and seniors. Enrollment limited to 40. M. Mateas
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Computer Science 148 - Interactive Storytelling.W
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