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Computer Science 4880: Individual Studies
1.00 - 3.00 Credits
University of Missouri-St Louis
Prerequisites: CMP SCI 2750 and consent of instructor. Allows a student to pursue individual studies under the supervision of a faculty member. May include development of a software project. May be repeated for credit.
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Computer Science 4890: Topics in Computer Science
3.00 Credits
University of Missouri-St Louis
Prerequisite: Consent of instructor. A seminar on special topics in computer science to be determined by recent developments in the field and the interests of the instructor. May be repeated for credit with departmental consent.
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Computer Science 5010: Advanced Java Programming
3.00 Credits
University of Missouri-St Louis
Prerequisites: CMP SCI 4020 or consent of instructor.? Coverage will emphasize advanced Java topics and may include, J2EE, Beans/Enterprise Beans, RMI/RPC, JDBC, Servlets/JSP, development tools such as Ant, frameworks, such as Eclipse, and Java IDEs.
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Computer Science 5130: Advanced Data Structures and Algorithms
3.00 Credits
University of Missouri-St Louis
Prerequisites: An elementary course in analysis of algorithms or consent of the instructor. This course covers analysis of time and space complexity of iterative and recursive algorithms along with performance bounds, design of data structures for efficient performance, sorting algorithms, probabilistic algorithms, divide and conquer strategies, various algorithms on graphs, and NP completeness.
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Computer Science 5320: Introduction to Evolutionary Computation
3.00 Credits
University of Missouri-St Louis
Prerequisite: CMP SCI 4300 or consent of instructor. This course introduces the concepts of nature-inspired problem solving population dynamics, Darwinian selection, and inheritance. It discusses problems applicable to evolutionary algorithms, overviews the existing models and instances, and analyzes specific instances such as genetic algorithms and genetic programming.
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Computer Science 5340: Introduction to Machine Learning
3.00 Credits
University of Missouri-St Louis
Prerequisite: CMP SCI 4300 or consent of instructor. This course introduces both symbolic and sub-symbolic approaches to machine intelligence. Specific topics covered may include data mining, supervised learning such as decision trees, and approximate methods such as fuzzy reasoning.
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Computer Science 5360: Expert Systems
3.00 Credits
University of Missouri-St Louis
Prerequisites: CMP SCI 4300 or consent of instructor. This course concentrates on issues related to building expert systems mimicking human-level expertise, including knowledge engineering processes leading to the design, construction, and evaluation of systems, relevant languages, tools, and shells, as well as representation, quality, and inference methods.
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Computer Science 5380: Introduction to Neural Networks
3.00 Credits
University of Missouri-St Louis
Prerequisites: CMP SCI 4300 or consent of instructor. This course introduces the concepts of connectionism, along with algorithms for simulating neural networks, discussion of alternative networks architectures and training algorithms.
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Computer Science 5400: Computer Vision
3.00 Credits
University of Missouri-St Louis
Prerequisites: Graduate standing and consent of instructor. This course introduces computational models of visual perception and their implementation on computer systems. Topics include early visual processing, edge detection, segmentation, intrinsic images, image modeling, representation of visual knowledge, and image understanding.
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Computer Science 5420: Visual Data Processing
3.00 Credits
University of Missouri-St Louis
Prerequisites: Graduate standing and consent of instructor. This course introduces low-level concepts and techniques used in image processing, including methods for image capture, transformation, enhancement, restoration, and encoding.
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