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CMSC 315: Algorithms
3.00 Credits
University of Richmond
Design, analysis, and implementation of advanced computer algorithms. Emphasis is given to problem-solving techniques, including the greedy method, divide-and-conquer, and dynamic programming. Specific problem domains vary. Topics may include sorting, graphs, networks, computational geometry, NP-completeness, approximation algorithms, text processing, distributed systems, and numerical algorithms. Three lecture and one laboratory hour per week. Prerequisite(s): Computer Science 222. Unit(s): 1
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CMSC 315 - Algorithms
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CMSC 321: Operating Systems
3.00 Credits
University of Richmond
Structure of operating systems, process management, memory management, file systems, and case studies. Three lecture and one laboratory hour per week. Prerequisite(s): Computer Science 222 and 301. Unit(s): 1
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CMSC 321 - Operating Systems
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CMSC 322: Software Engineering Practicum
3.00 Credits
University of Richmond
Project-oriented course. Principles of software engineering will be emphasized throughout. Three lecture and one laboratory hour per week. Prerequisite(s): Senior standing or two courses at the 300 level that have Computer Science 301 or 315 as a prerequisite. Unit(s): 1
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CMSC 322 - Software Engineering Practicum
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CMSC 323: Design and Implementation of Programming Languages
3.00 Credits
University of Richmond
Concepts in design and implementation of programming languages, including compile-time and run-time issues. Support for block-structured procedural languages, object-oriented languages, and functional languages. Three lecture and one laboratory hour per week. Prerequisite(s): Computer Science 301 and 315. Unit(s): 1
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CMSC 323 - Design and Implementation of Programming Languages
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CMSC 325: Database Systems
3.00 Credits
University of Richmond
Introduction to systematic management of data: design and implementation of relational databases, data modeling, normalization, indexing, relational algebra, query processing, and transaction management.Programming projects include substantial use of SQL and its extensions. Three lecture and one laboratory hour per week. Prerequisite(s): Computer Science 221 and 222. Unit(s): 1
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CMSC 325 - Database Systems
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CMSC 326: Simulation
3.00 Credits
University of Richmond
Introduction to simulation. Discrete-event simulation, Monte Carlo simulation, simulation of queuing and inventory systems, random number generation, discrete and continuous stochastic models, elementary statistics, point and interval parameter estimation, and input modeling techniques. Three lecture and one laboratory hour per week. Prerequisite(s): Computer Science 222 and 301. Unit(s): 1
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CMSC 326 - Simulation
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CMSC 328: Numerical Analysis
3.00 Credits
University of Richmond
(See Mathematics 328.) Unit(s): 1
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CMSC 328 - Numerical Analysis
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CMSC 330: Theory of Computation
3.00 Credits
University of Richmond
Finite state machines, regular languages, push-down automata, and context-free languages. Turing machines, recursive functions, and related topics. Three lecture and one laboratory hour per week. Prerequisite(s): Computer Science 315. Unit(s): 1
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CMSC 330 - Theory of Computation
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CMSC 331: Introduction to Compiler Construction
3.00 Credits
University of Richmond
Regular languages, context-free languages, finite automata, push-down automata, lexical analysis, parsing, intermediate representation, and code generation. Three lecture and one laboratory hour per week. Prerequisite(s): Computer Science 222 and 301. Unit(s): 1
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CMSC 331 - Introduction to Compiler Construction
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CMSC 332: Computer Networks
3.00 Credits
University of Richmond
Principles and techniques for data communication between computers. Topics include design and analysis of communication protocols, routing, congestion control, network-centric applications, and recent advances. Three lecture and one laboratory hour per week. Prerequisite(s): Computer Science 301. Unit(s): 1
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CMSC 332 - Computer Networks
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