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Course Criteria
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4.00 Credits
INFO/CSIS 2102, MATH 2216, MATH 2225, and either MATH 2226, INFO/CSIS 2226, MATH 3325 or MATH 3323, with grades of C or better. Quantitative reasoning intensive course (Q1). This course will include a study of the design, space/time analysis, and correctness of algorithms. Examples will come from diverse areas of computer science and include algorithms for searching, sorting, graphs, trees, and geometric problems. Faculty: M. KIRCH 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Natural Sciences & Mathematics Division Mathematics Department Course Attributes: Q1- Quant Reasoning Intensive
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4.00 Credits
MATH 2216, INFO/CSIS 2102, and either MATH 2225, MATH 3323, or MATH 3325, with grades of C or better. Quantitative reasoning intensive course (Q1). An introduction to the mathematical foundations of computer science. Models of computation including automata, formal languages, real world devices, and abstract models. Notations for grammars and design of language recognizers. Unsolvable problems. Turing machines and Church's thesis. Computational complexity and NP-completeness. Applications to software and hardware design. Faculty: M. KIRCH, C. HERLANDS 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Natural Sciences & Mathematics Division Mathematics Department Course Attributes: Q1- Quant Reasoning Intensive
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4.00 Credits
MATH 4451 Probability and Statistics I with C or better. Quantitative reasoning intensive course (Q1). Mathematical topics not covered in other regularly scheduled MATH courses. Content varies with instructor; students should consult posted course previews. May be repeated for credit. 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Natural Sciences & Mathematics Division Mathematics Department Course Attributes: Q1- Quant Reasoning Intensive
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1.00 Credits
Open to those interested in mathematics. Some calculus background recommended. Weekly talks given by Stockton faculty, students, and speakers from other institutions, on multiple mathematical topics as well as career issues. May be repeated for credit. Offered each semester. Faculty: J. TOLOSA 1.000 Credit hours 1.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Natural Sciences & Mathematics Division Mathematics Department
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2.00 - 4.00 Credits
Completion of two advanced courses in mathematics. Open only to juniors and seniors. Special Project Request Form required. This course is recommended to synthesize various program courses or explore areas outside of undergraduate mathematics. It is required for, but does not guarantee, graduation with distinction in mathematics. The project must be approved by the mathematics faculty and must be planned and carried out under the guidance of a member of the faculty. 2.000 TO 4.000 Credit hours Levels: Undergraduate Schedule Types: Independent Study Natural Sciences & Mathematics Division Mathematics Department
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4.00 Credits
Open only to juniors and seniors. Special Project Request Form required. This course consists of an off-campus work-study experience planned and conducted under the guidance of a member of the faculty. The project must be approved by the mathematics faculty and should culminate in a substantial written report. 4.000 Credit hours 4.000 Other hours Levels: Undergraduate Schedule Types: Internship Natural Sciences & Mathematics Division Mathematics Department
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1.00 - 4.00 Credits
Independent Study in Management 1.000 TO 4.000 Credit hours Levels: Undergraduate Schedule Types: Independent Study Business Division Business Studies Department
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1.00 - 4.00 Credits
Independent Study in Management 1.000 TO 4.000 Credit hours Levels: Undergraduate Schedule Types: Independent Study Business Division Business Studies Department
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4.00 Credits
Not open to freshmen. An examination of the functional areas of management including such topics as planning, organizing, control, motivation, production control, communication, and leadership. Major management theories will be examined in light of contemporary organizational situations and the changing environment (internal and external). Faculty: A. WORTHINGTON 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Business Studies Department
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4.00 Credits
MGMT 3110. This course focuses on the management of human resources. Topics include motivation and leadership, human resources planning, staffing, development and training, compensation and benefits, collective bargaining/labor management relations, job analysis and design, and the legal aspects of personnel management. Faculty: A. WORTHINGTON 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Business Studies Department
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