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Course Criteria
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4.00 Credits
Study of compilers and interpreters. Parsing, lexical analysis, semantic analysis, code generation, and optimization. Prerequisites: 01:198:211 or 14:332:331; 01:198:314.
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4.00 Credits
Computer organization, process and thread management, synchronization, scheduling, memory management, virtual memory, I/O management, file systems, and case studies. Prerequisites: 01:198:211 or 14:332:331; 01:198:113 or 14:332:252.
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4.00 Credits
Introduction to the concepts and design principles used in distributed computer systems. Communication methods, concepts and strategies used in distributed services such as file systems, distributed shared memory, and distributed operating systems. Prerequisite: 01:198:416.
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4.00 Credits
Principles and examples of mathematical models in the physical, economic, and life sciences. Numerical methods for differential equations. Special computers and languages for the simulation of continuous systems. Individual projects. Prerequisite: 01:198:221 or 323 or 01:640:373 or permission of instructor.
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4.00 Credits
Computer science in applied and theoretical statistics; exploratory data analysis; algorithms for univariate and multivariate statistical analyses; use of statistical libraries; Monte Carlo and simulation. Prerequisites: 01:198:206 or equivalent; CALC2. Strongly recommended: Numerical methods (01:198:221, 01:198:323, or 01:640:373) .
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4.00 Credits
Displays, colors, perception, images, sampling, image processing, geometric transformations, viewing and visibility, modeling hierarchies, curve and surface design, animation, lighting, rendering, rasterization, shading, and ray tracing. Prerequisites: CALC2 and 01:640:250; 01:198:112 or 14:332:351. Credit not given for both this course and 14:332:474.
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4.00 Credits
Problems and techniques involved in the specification, design, and implementation of large-scale software systems, studied in conjunction with actual group construction of such a system. Prerequisites: 01:198:314 and 344.
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4.00 Credits
Broad introduction to artificial intelligence, including search, knowledge representation, natural language understanding, and computer vision. Prerequisite: 01:198:314.
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3.00 - 4.00 Credits
Advanced topics in computer science. Topics vary from year to year according to the interests of students and faculty.
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3.00 Credits
Finite automata and regular languages; context free languages, pushdown automata and parsing; language hierarchies; Turing machines; decidability and complexity of languages. Applications emphasized throughout. Prerequisite: 01:198:344.
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