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COMP SCI 302: Agile Software Development
3.00 Credits
Missouri University of Science and Technology
Understand principles of agile software development and contrast them with prescriptive processes. Specifically: Eliciting, organizing, and prioritizing requirements; Design processes; Understand how a particular process promotes quality; Estimate costs and measure project progress and productivity. Prerequisite: Comp Sci 206.
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COMP SCI 302 - Agile Software Development
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COMP SCI 307: Software Testing And Quality Assurance
3.00 Credits
Missouri University of Science and Technology
It covers unit testing, subsystem testing, system testing, object-oriented testing, testing specification, test case management, software quality factors and criteria, software quality requirement analysis and specification, software process improvement, and software total quality management. Prerequisite: Comp Sci 253.
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COMP SCI 307 - Software Testing And Quality Assurance
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COMP SCI 308: Object-Oriented Analysis And Design
3.00 Credits
Missouri University of Science and Technology
This course will explore principles, mechanisms, and methodologies in object-oriented analysis and design. An object-oriented programming language will be used as the vehicle for the exploration. Prerequisite: Comp Sci 253.
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COMP SCI 308 - Object-Oriented Analysis And Design
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COMP SCI 310: Seminar
0.00 - 6.00 Credits
Missouri University of Science and Technology
Discussion of current topics. Prerequisite: Senior standing.
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COMP SCI 310 - Seminar
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COMP SCI 311: Bioinformatics
3.00 Credits
Missouri University of Science and Technology
The course will familiarize students with the application of computational methods to biology, as viewed from both perspectives. It will introduce problems in molecular, structural, morphological, and biodiversity informatics, and will discuss principles, algorithms, and software to address them. Prerequisites: Bio Sci 110 or 111 and Comp Sci 53/54 or 74/78. (Co-listed with Bio Sci 311)
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COMP SCI 311 - Bioinformatics
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COMP SCI 317: Intellectual Property For Computer Scientists
3.00 Credits
Missouri University of Science and Technology
A presentation of the relationship between the law of intellectual property and computer science. Topics include the application of copyright principles to computer programs, protection of computer programs through patents and trade secret law, and the effect of various agreements which are frequently encountered by the computer scientist. Prerequisite: Senior or graduate standing.
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COMP SCI 317 - Intellectual Property For Computer Scientists
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COMP SCI 325: Analysis Of Algorithms
3.00 Credits
Missouri University of Science and Technology
The purpose of this course is to teach the techniques needed to analyze algorithms. The focus of the presentation is on the practical application of these techniques to such as sorting, backtracking, and graph algorithms. Prerequisite: Comp Sci 253.
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COMP SCI 325 - Analysis Of Algorithms
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COMP SCI 328: Object-Oriented Numerical Modeling I
3.00 Credits
Missouri University of Science and Technology
A study of object-oriented modeling of the scientific domain. Techniques and methodologies will be developed enabling the student to build a class library of reusable software appropriate for scientific application. Applications will be drawn from mechanics, finance, and engineering. Prerequisites: Comp Sci 228 and Comp Sci 153 and one of Math 208, 203, 229.
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COMP SCI 328 - Object-Oriented Numerical Modeling I
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COMP SCI 329: Object-Oriented Numerical Modeling II
3.00 Credits
Missouri University of Science and Technology
A continued study of object-oriented modeling of the scientific domain. Advanced applications include models posed as balance laws, integral equations, and stochastic simulations. Prerequisite: Comp Sci 328.
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COMP SCI 329 - Object-Oriented Numerical Modeling II
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COMP SCI 338: Database Systems
3.00 Credits
Missouri University of Science and Technology
This course introduces the advanced database concepts of normalization and functional dependencies, transaction models, concurrency and locking, timestamping, serializability, recovery techniques, and query planning and optimization. Students will participate in programming projects. The course assumes students have an introductory course in database systems. Prerequisites: Comp Sci 128 and Comp Sci 238.
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COMP SCI 338 - Database Systems
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