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Course Criteria
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3.00 Credits
Introduction to sport science including the fields of sport psychology, sport pedagogy, sport physiology, and sport management. Introduction to the rules and regulations of the New York State Public High School Athletic Association (NYSPHSAA). One of three courses fulfilling New York State requirements for coaching certification. 3 credits (3 lecture hours), fall or spring semester
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2.00 Credits
This course introduces the student to the basic concepts of coaching in New York State including general instructional strategies, rules and regulation of play, and periodization of training. Topics to include athletic security and safety, organization and management of practices and sport specific training. One of three courses fulfilling New York State requirements for coaching certification. 2 credits (2 lecture hours) fall or spring semester
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3.00 Credits
Examines the responses of the body to exercise and the relationship between various physiological systems and athletic performance and improvement. Provides the basic principles of conditioning and nutrition to enable development of safe and effective training and nutritional programs for athletes. Includes basic first-aid and safety as related to athletic participation. One of three courses fulfilling New York State requirements for coaching certification. 3 credits (3 lecture hours) spring semester
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3.00 Credits
Fundamentals of computer systems. Overview of computer hardware components. Typical software applications including electronic spreadsheets, word processing, graphics, communications, multimedia, and database management systems, will be examined through hands-on experience. Issues and trends in computing technology will also be examined. CITA 100 cannot be taken after successful completion of, or concurrently with CITA 110. 2 credits (3 lecture hours, meets for 10 weeks), fall and spring semester
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1.00 Credits
Hands-on sessions where students apply the concepts and techniques covered in the lecture portion of the course. Students develop interactive applications with an object-oriented language such as Java that include graphics, user interfaces, simple games, and calculations. 1 credit (2 laboratory hours), fall or spring semester
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3.00 Credits
Continuation of COSC 111 with emphasis on abstract data types and their implementation. Includes linked lists, stacks, queues, and trees, design and testing principles and software interfaces. Prerequisites: COSC 111 or equivalent with a grade of C or better 3 credits (3 lecture hours), spring semester
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3.00 Credits
General introduction to fundamentals of programming with the C programming language in a UNIX environment. Topics include: syntax and semantics, identifiers, data types, functions, arrays, strings, pointers, structures, unions, macros, and applied data structures. Emphasis is on systems programming and the use of standard libraries. Prerequisite: COSC or CIS major with programming experience or permission of instructor 3 credits (3 lecture hours), spring semester
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3.00 Credits
General introduction to the elements and techniques of creating programs that produce graphic images or analyze graphic content. Covers the basic shapes (points, lines, poly-objects, text, circles) and transformations, and then advances to user interaction, animation, three-dimensional images, fractals and scene analysis. Prerequisite: Knowledge of Java or similar language and permission of instructor 3 credits (3 lecture hours), fall semester
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3.00 Credits
Basic concepts of computer systems, computer architecture, and programming in an assembly language. Representation and storage of information; components of the hardware; CPU architecture; instruction sets; addressing modes; using the debugger, linking modules, and macros; I/O ports and interrupts; DOS and BIOS services. Prerequisites: COSC 111 or equivalent, and MATH 145, or permission of instructor 3 credits (3 lecture hours), fall semester
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3.00 Credits
Utilization and expansion of analysis and programming techniques developed in previous courses. This course covers various topics of current interest such as neural networks, genetic algorithms, artificial intelligence, finite state machines, and non-procedural languages. More sophisticated problem-solving techniques are utilized to address typical computing situations. Prerequisite: COSC 112 with a grade of C or better, or permission of instructor 3 credits (3 lecture hours), spring semester
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