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Course Criteria
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3.00 Credits
Various stages in a recognition system and their design will be discussed. Topics include: preprocessing, feature extraction, recognition, knowledge base, and associative storage. Algorithms and implementation of these stages will be discussed. Practical applications such as character recognition, satellite image analysis, MRI data analysis, and other biomedical applications will be discussed. Offered in spring of even years. Prerequisites: COSC 2315, COSC 2336.
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3.00 Credits
Introduction to the basic concepts of artificial intelligence. Topics covered will include knowledge representation, A.I. programming, learning, and neural nets. Offered in spring of even years. Prerequisites: COSC 2315, COSC 2336.
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3.00 Credits
Program development techniques with structured methodologies. Top-down development, modeling tools, structured programming, programming style, program testing and debugging. Offered in fall of even years. Prerequisites: COSC 2315, COSC 2336.
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3.00 Credits
Study of the concepts and techniques of data mining, or knowledge discovery in databases. The automated or convenient extraction of patterns representing knowledge implicitly stored in large databases, data warehouses, and other massive information repositories. Offered in fall of even years. Prerequisite: COSC 5360.
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3.00 Credits
Concepts and methodologies for the systematic analysis, development, evolution, and reuse of software architectures. Understanding the elements of software architectures including components, connectors, styles, patterns, and constraints. Developing software architectures from functional requirements. Evaluation and selection of alternative software architectures based on non-functional requirements. State of the practice and art. Offered in spring of odd years. Prerequisite: COSC 2336 or equivalent.
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3.00 Credits
Database design issues including: query processing, interpretation, optimization, and methods for implementing and optimizing logic queries. Knowledge databases, distributed databases, and object-oriented databases. Offered in spring of odd years. Prerequisites: COSC 5360.
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3.00 Credits
This course provides an overview of the fundamentals of data warehousing including the planning, designing, building, populating, and maintaining a successful data warehouse. Specific topics covered include the logical design of a data warehouse, data warehousing architecture, extract-transform-load processing, a comparison of OLAP and OLTP and query processing utilizing multidimensional views of data. Offered in summer of even years. Prerequisite: COSC 5360.
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3.00 Credits
This course aims to teach the fundamentals of modeling, simulation, distributed simulation, and large-scale asynchronous distributed simulation of real systems on parallel processors. Examples from the real world include CAD of digital systems, IVHS transportation, military command and control, medical networks, banking networks, and asynchronous transfer mode (ATM) networks. Offered in fall of even years. Prerequisites: COSC 2315, COSC 2336.
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3.00 Credits
This graduate level course will begin with the basic theory of computational graphics, describe important applications, especially in the fields of medicine and GIS, and require students to complete a substantial applied project utilizing graphical tools and packages that are widely used in industry and computer graphics community. The basic theory will build on mathematical foundation and focus on geometric primitives, color models, coordinate systems, transformation of object views in 2D and 3D, projection, illumination, reflection, shading, and ray tracing. Prerequisites: COSC 2315, COSC 2336.
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3.00 Credits
This course will bring together recent developments in remote sensing and GIS analysis with a particular emphasis on software development techniques. Topics will include GIS data models, software algorithms for data storage, and analysis. Prerequisites: COSC 2315, COSC 2336.
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