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Course Criteria
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4.00 Credits
MATH 2225 with a grade of C or better. Quantitative reasoning intensive course (Q1). This course will review and build upon the major concepts introduced in MATH 2225 and examine additional mathematical topics needed for the study of computer and information science. A principal goal is the development of the ability to think and write clearly and mathematically about computer science problems and their solutions. Computer-based exercises using Interactive Set Language (ISETL) will provide students with additional experience with logic, induction and other methods of mathematical proof, and algorithms. Students will also learn to formulate conjectures and investigate possible answers by experimenting with ISETL. Applications studied may include the verification of algorithms, the formal specification of software systems, semantics of programming languages, automata, circuit design, and parallel computing. Faculty: M. KIRCH 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Computer Science & Information Department Course Attributes: Q1- Quant Reasoning Intensive
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4.00 Credits
MATH 2215. Permission of Instructor required. This course is designed for students in the Engineering Dual-Degree Program. The first half of the course provides an introduction to computing using the FORTRAN programming language. The second half will include the study of selected topics in computer systems and techniques that are principal tools in science and engineering applications. These topics may include advanced programming techniques, numerical methods, UNIX workstations, network computing environments, symbolic mathematics and scientific visualization. Offered as needed. Faculty: S. MATHIS 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Computer Science & Information Department
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4.00 Credits
CSIS 2101 or equivalent. Quantitative reasoning intensive course (Q1). An introduction to philosophy and general methodology of operations research, as well as a survey of theories, computational techniques, and applications of models. Discussion and analysis of linear programming, transportation, and dynamic programming with their computer applications. Faculty: S. KUBRICKI, S. MATHIS 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Computer Science & Information Department Course Attributes: Q1- Quant Reasoning Intensive
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4.00 Credits
CSIS 2102. Not open to freshmen. (Course to be taught at the Mays Landing Center.) This course explores multimedia design and programming using Macromedia Flash with an emphasis on Action Scripting. The focus will be on user interactivity. We will work with basic animations and take an in depth look at creating interactive applications for CD-ROMs, DVD-ROMs or the web. We will make simple interactive games and quizzes. We will control video with Flash and work with effective methods of loading robust media efficiently over the Internet. Final project will combine these skills as well as interface design and visual communications. 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Computer Science & Information Department
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1.00 - 4.00 Credits
Independent Study in Computer Science and Information 1.000 TO 4.000 Credit hours 1.000 TO 4.000 Other hours Levels: Undergraduate Schedule Types: Tutorial Business Division Computer Science & Information Department
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1.00 - 4.00 Credits
Independent Study in Computer Science and Information 1.000 TO 4.000 Credit hours 1.000 TO 4.000 Other hours Levels: Undergraduate Schedule Types: Independent Study Business Division Computer Science & Information Department
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4.00 Credits
CSIS 2102 and MATH 2225. Advanced topics in the specification, implementation, and use of important data structures and associated algorithms. Data structures to be studied include stacks, queues, lists, trees, graphs, and hash tables. Algorithm analysis is also studied, with emphasis on searching and sorting. Programming projects provide experience using the concepts covered in the course. Faculty: M. OLAN 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Computer Science & Information Department
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4.00 Credits
CSIS 2101, CSIS 2210 and MATH 2225. A practical and conceptual introduction to the design, implementation, and management of microcomputer database systems, focusing on the relational model. Emphasis is on the concepts of data independence, integrity, normalization, and relational algebra. Students will design, implement, and document a small, normalized database. Faculty: S. MATHIS 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Computer Science & Information Department
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4.00 Credits
CSIS 2101, CSIS 2210. This course examines current developments in electronic commerce. The topics include e-commerce business models; information technology infrastructure; electronic consumers and advertising; the effect of e-commerce on logistics and supply chain management; e-commerce payment systems; security, encryption and privacy; ethical, social and political issues in e-commerce. The course also introduces various tools and techniques for developing web applications. Faculty: A. TANEJA 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Computer Science & Information Department
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4.00 Credits
CSIS 2102. An introduction to the design of basic elements of a computer system. It covers combinational and sequential systems, number systems and codes, design of addressing schemes, and various instruction formats. Faculty: M. NEILFOROSHAN 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Computer Science & Information Department
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