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Course Criteria
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3.00 Credits
Degree from fully accredited undergraduate institution. Must have completed eleven graduate CRIM courses. This course will enable students to work beside professionals in various agencies, spending approximately 14 hours per week per semester. The course can be taken along with or before the thesis project and will take both a "hands-on" and a research approach to the internship experience. Placement may include such areas as the Major Crimes Unit of the Prosecutor's Office, local police and federal agencies, mental health centers, or other agencies specific to the student's interests. Faculty: J. WHITE 3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Internship Social & Behavioral Sciences Division Criminal Justice Department
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4.00 Credits
MATH 1100 or a working knowledge of high school algebra (two years). No previous computer experience is required. Designed for students of all majors, this course provides the background to understand and productively use modern computer-based information and communications systems. Students will study key issues and concepts of computer and information science, learn to use various hardware and software systems available at Stockton (including PCs, Unix workstations, multimedia labs and the Internet), and develop World Wide Web pages. Comprehensive lab sessions will provide an introduction to Stockton's microcomputer and minicomputer systems and provide hands-on experience to illustrate major concepts. Specific topics covered include computer organization and architecture, data structures and algorithms, programming languages, World Wide Web and HTML, graphics and multimedia, analysis of information, simulation, virtual reality, JavaScript and interactive web pages. Emerging areas of computer science including intelligent agents, privacy and security, data mining, ubiquitous computing and gaming will also be included. Faculty: M. KIRCH 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
Not open to CSIS majors after they have completed a CSIS course. This course is a survey of the history of computers, hardware components, operating systems, programming languages, program development environment, major microcomputer application packages, data communication, networking, and the social impacts of computers. Major application software includes hands-on experience on wordprocessor, spreadsheet, database, presentation and communication programs. Offered every semester. Faculty: J. GERHARDT, 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
Mastery of 2 years of high school algebra. Quantitative reasoning intensive course (Q1). Statistics I utilizes a case study approach to the study of statistics. It emphasizes statistical thinking, deals with real data and concepts, and fosters active learning. The course is divided into four modules: I. Analysis of group differences ( AOV, Kruskall-Wallis, measurement & sampling validity); II. Examining relationships ( Chi-Square, Correlation, forecasting, simple linear regression); III. Applications of probability ( probability, probability distributions, expectations); IV. Application areas ( t-tests, control charts, experimental design). Faculty: S. KRUBRICKI, A. TANEJA 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
GNM 1125 (Algebraic Problem Solving) or mastery of 2 years of high school algebra. Quantitative reasoning intensive course (Q1). Statistics I utilizes a case study approach to the study of statistics. It emphasizes statistical thinking, deals with real data and concepts, and fosters active learning. The course is divided into four modules: I. Analysis of group differences ( AOV, Kruskall-Wallis, measurement & sampling validity); II. Examining relationships ( Chi-Square, Correlation, forecasting, simple linear regression); III. Applications of probability ( probability, probability distributions, expectations); IV. Application areas ( t-tests, control charts, experimental design). Faculty: S. KRUBRICKI 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Tutorial Business Division Computer Science & Information Department Course Attributes: Q1- Quant Reasoning Intensive
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4.00 Credits
An introduction to the fundamentals of software development, including logic, control structures, subprograms, classes, objects, documentation techniques, testing, and debugging. Assignments give hands-on experience writing, debugging, and running programs using an integrated development environment. This course is a serious introduction to computer science and preparation for more advanced courses in computing. Faculty: M. OLAN, V. CICIRELLO, A. HERATH, 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 2101, MATH 2225 or MATH 2215. This course continues the development of problem solving and programming techniques. Emphasis is placed on data abstraction and implementation techniques such as recursion and dynamic data structures; and more advanced object oriented design concepts such as inheritance, exception handling, and GUI. Assignments involve writing programs using these techniques in an integrated development environment. Faculty: M. OLAN, V. CICIRELLO, A. HERATH, A. TANEJA 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Hybrid_, Lecture, Online_ Business Division Computer Science & Information Department
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4.00 Credits
CSIS 2101 or equivalent. A study of the system development and design process. Students participate in analysis and design projects as members of teams. Stresses conceptual skills, interpersonal, and organizational aspects of systems work. Offered every semester. Faculty: J. GERHARDT, S. MATHIS, 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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1.00 Credits
MATH 2215 (Calculus I). Quantitative reasoning intensive course (Q1). Permission of Instructor required. This course is designed to re-enforce the topics of Calculus while discussing its application to CSIS. The material consists of examples in which students can see the importance of topics in Calculus to the world around them and the connection of these topics to the daily work of computer scientists. Students engage in projects, which illustrate the strong interrelation of these two fields. Students use computer algebra systems (e.g. MAPLE, MATLAB) to develop computer code, which performs basic Calculus computational skills. Faculty: C. WU, J. VOGEL 1.000 Credit hours 1.000 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 1206. A foundation, both theoretical and practical, for data communications, networking, and the Internet. The students study the design, development, and management of telecommunication systems. Topics include voice and data communications, small and large-scale network configurations, and current trends in telecommunications. A semester long project complements the study of the course topics. 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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