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COSC 5307: Compiler Construct
3.00 Credits
Lamar University
A general approach to the design of language processors is presented independently of the target machine architecture and the source language. All phases of compilation and interpretation are investigated. Typical projects include implementation of a small compiler or a specialpurpose language. Prerequisite: COSC 3304 or equivalent.
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COSC 5307 - Compiler Construct
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COSC 5308: Intro to Computer Arch
3.00 Credits
Lamar University
This course is an introduction to computer architecture, with a special focus on the principles behind contemporary multicore design. It will explore the interaction of hardware and software, and consider the efficient use of hardwareto achieve high performance. Topics will include instruction set architecture, computer arithmetic, processor design, performance measurement and analysis, pipelining, caches and virtual memory, high performance MIPS implementation, parallel processors, and design tradeoffs among cost, performance and complexity. Prerequisite: COSC 4310 or equivalent.
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COSC 5308 - Intro to Computer Arch
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COSC 5309: Intro to Sim Tech
3.00 Credits
Lamar University
Modeling of scientific discrete-event processes. Random number generation techniques, Monte-Carlo simulation, discrete-event and unit time advance algorithims, queuing theory and stochastic models. An introduction to systems simulation and industrial dynamics are presented. Programming assignments are in C++ and specialized programming languages for simulation (GPSS, SIMSCRIPT, SIMULA) Prerequisite: COSC 2336, MATH 2413 and MATH 3370.
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COSC 5309 - Intro to Sim Tech
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COSC 5310: Adv Computer Architecture
3.00 Credits
Lamar University
Advanced topics in computer architecture such as RISC vs CISC, pipelined processors, vector processors, HDLs, language directed architectures and neural nets. Prerequisite: COSC 4310 or COSC 5308 or equivalent and COSC 5336 Offered: Spring (odd numbered years)
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COSC 5310 - Adv Computer Architecture
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COSC 5311: Data Mining
3.00 Credits
Lamar University
Introduction to basic concepts behind data mining. A survey of data mining applications, techniques and models. Topics may include decision tables, classification rules, association rules, clustering, statistical and linear models. Prerequisite: CPSC 5340 Offered: Fall
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COSC 5311 - Data Mining
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COSC 5312: Adv Topics Artif Intell
3.00 Credits
Lamar University
Topics include, but are not limited to, knowledge representation, distributed cooperative AI, intelligent tutoring systems and semantic representation in natural language processing. Prerequisite: CPSC 5370 or equivalent Offered: Spring
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COSC 5312 - Adv Topics Artif Intell
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COSC 5313: Analysis of Algorithms
3.00 Credits
Lamar University
Methods that show what can and cannot be proven about computational complexity. Includesalgorithim design mehtodologies. Prerequisite: COSC 2336 or COSC 4307 or equivalent Offered: Spring, Summer
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COSC 5313 - Analysis of Algorithms
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COSC 5314: Logic & Discrete Struc In CS
3.00 Credits
Lamar University
Topics from logic and discrete mathematics relevant to computer science are presented in order to introduce students to abstraction and formal proofs. The topics include sets, graphs, monoids, groups, discrete probability theory, and predicate calculus. Prerequisite: MATH 2305 or equivalent
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COSC 5314 - Logic & Discrete Struc In CS
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COSC 5315: Foundations Comp Sci
3.00 Credits
Lamar University
The foundations of computer science are studied in order to give a better understanding of the discipline. Topics include: logic, computational models, formal languages, computability and complexity theory. Prerequisite: COSC 4307 or 5307 Offered: Fall, Summer (odd numbered years)
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COSC 5315 - Foundations Comp Sci
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COSC 5318: Dsn & Imp Expert Sy
3.00 Credits
Lamar University
Problems in knowledge acquisition, knowledge representation issues, representation of meta-knowledge, use of statistical measures to limit search of the knowledge base, and knowledge verification. Prerequisite: CPSC 2336 or equivalent
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COSC 5318 - Dsn & Imp Expert Sy
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