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Course Criteria
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3.00 Credits
(Prereq: Grade of C or better in CSCI A220) This course is an introduction to computer graphics, covering the fundamental mathematical and computational concepts underlying computer graphics. The course consists of discussions of the basic theoretical concepts and practical programming with OpenGL. Students will learn the architecture of OpenGL, color, input, geometirc transformations, 3D grphics, shading, rasterization, and some other techniques.
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3.00 Credits
(Prereq: Grade of C or better in CSCI A146) This course introduces basic knowledge about software engineering, including principles and techniques of software design, software construction, software testing, and software maintenance.
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3.00 Credits
(Prereq: CSCI A350 with a grade of C or better or consent of the department) This course introduces the applications of haptic technology in game development and simulation. Through case studies, students will learn the principles and related technical routes of applying different types of haptics in game and simulation. Students will also learn game development using haptic devices including VR devices and smartphones carrying haptic functions. Students will acquire the skills to embed haptics in the development of games and simulations on platforms that are used in commercial game and simulation software packages.
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3.00 Credits
(Prereq: Grade of C or better in CSCI A146 and MATH A174) An algorithmic introduction to Graph Theory and its applications. Topics include fundamental concepts for graphs, connectivity, matrices of graphs, trees, paths and cycles, matchings, graph colorings, and planar graphs.
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3.00 Credits
(Prereq: CSCI A345 with a grade of C or better) This course teaches machine learning algorithms on dimensionality-reduction and the implementations of those machine learning algorithms. The neural networks and convolution neural networks are also introduced.
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3.00 Credits
(Prereq: consent of instructor)
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3.00 Credits
(Prereq: CSCI A345 with a grade of C or better) Comprehensive study of selected topics in data science. Choice of topic varies with instructor.
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3.00 Credits
(Prereq: a grade of C or better in CSCI A220) Basic concepts and terminology of operating systems. Process implementation, synchronization, memory management, protection, resource allocation, system modeling, pragmatic aspects, case studies.
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3.00 Credits
(Prereq: Grade of C or better in CSCI A220) The study of concepts and components in data communications and computer networks. Topics will include data transmission, reference models, common network protocols, network applications, and technologies.
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3.00 Credits
(Prereq: Grade of C or better in CSCI A415) Study of network security principles and defensive technologies. Topics include basic network security concepts, network intrusion detection and prevention, traffic flow analysis, segregation, security management, and secure protocols usage.
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