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Course Criteria
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3.00 Credits
3 credits. 4 hours. (Lecture 2 hours. Laboratory 2 hours.) Prerequisites: CSIS 200, 204, and 206. This course will provide an opportunity for students to obtain the knowledge and skills necessary to create 3D multiplayer games. Topics include 3D models of players, vehicles, items, and structures; audio and music; graphical user interfaces and menus; UV wrapped textures and skins; environmental effects and outdoor terrain. Typical game topics will include Windows programming, Graphics Device Interface (GDI), DirectX, sound, music, and working with graphics. Typical tasks will include setting up the environment, creating several games, and using music and sound in a game programming concepts.
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3.00 Credits
3 credits. 3 hours. (Lecture 3 hours.) Prerequisite: MATH 141 and CSIS 223. Lattice structures and graph theory, algorithms and complexity, recurrence relations, introduction to computability theory and abstract machines. The theory introduced will be applied to appropriate areas of computer science.
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3.00 Credits
3 credits. 4 hours. (Lecture 2 hours. Laboratory 2 hours.) Prerequisite: CSIS 123 and CSIS 144. In-depth hands-on experience utilizing the programming language of ORACLE relational database management software package. Students will write and manage PL/SQL program units, including error handling and database triggers. Object types and manipulation, and large objects will also be studied.
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3.00 Credits
3 credits. 4 hours. (Lecture 2 hours. Laboratory 2 hours.) Prerequisite: CSIS 110 and CSIS 123. Assembler language programming with disk files, various data formats, and debugging techniques.
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3.00 Credits
3 credits. 4 hours. (Lecture 2 hours. Laboratory 2 hours.) Prerequisite: CSIS 151. This covers the advanced concepts and features of a command line and graphical user interface operating systems for microcomputers.
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3.00 Credits
3 credits. 4 hours. (Lecture 2 hours. Laboratory 2 hours.) Prerequisite: CSIS 162. This course expands upon the theories, concepts and practical applications presented in Introduction to Multimedia. Students will learn how to create and edit more complex audio elements, learn to use authoring tools, create an optical media based multimedia application and discuss the most current issues facing multimedia developers.
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3.00 Credits
3 credits. 4 hours. (Lecture 2 hours. Laboratory 2 hours.) Prerequisite: CSIS 162. This course expands on the theories and concepts covered in Introduction to Multimedia (CSIS 162), focusing on the creation of digital video. The student will use modern video lighting, recording, digitizing, and editing equipment to create video productions suitable for distribution via multimedia CD-ROM, and discuss the issues facing the digital video developer.
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3.00 Credits
3 credits. 4 hours. (Lecture 2 hours. Laboratory 2 hours.) Prerequisite: CSIS 223. This course is designed for programmers to write programs for operating systems that support Graphical User Interfaces. Topics include graphical user interface concepts, message-driven architecture, multitasking, and threads, dynamic linking and the application programmer interface library. These topics will be discussed from and Object-Oriented design perspective.
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4.00 Credits
4 credits. 5 hours. (Lecture 3 hours. Laboratory 2 hours.) Prerequisite: CSIS 113. This introductory course to Wireless LANs focuses on the design, planning, implementation, operation and troubleshooting of Wireless LANs. It covers a comprehensive overview of technologies, security, and design best practices with particular emphasis on hands on skills in the following areas: Wireless LAN setup & troubleshooting; 802.11 (a, b, and g) technologies, products & solutions; Radio Technologies; WLAN applications and site surveys; Resilient WLAN products, design, installation, configuration and troubleshooting; WLAN security; Vendor interoperability strategies; Emerging wireless technologies
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3.00 Credits
3 credits. 3 hours. (Lecture 3 hours.) Prerequisite: MATH 141 and CSIS 223. An introduction to data organizations, strings, stacks, queues, linear lists, linked-lists, heaps, and trees. These topics will be integrated with the notion of abstract data types. Students will develop skills in the use of abstraction, specification, and program construction using modules. Algorithms used to implement data structures will be introduced and their efficiency analyzed.
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