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Course Criteria
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3.00 Credits
Advanced topics selected from fuzzy logic, regression and optimization, adaptive networks, neural nets, and neuro-fuzzy systems. Cross-listed as CS 4336. Credit may not be earned for both. CS/MATH 4333 or CS/MATH 4334 recommended.
Corequisite:
MATH 2403, MATH 2407, and CS 2310
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3.00 Credits
Selected students are placed in jobs in the local community which are related to and reinforce their academic training. Positions are full-time, salaried and last the duration of a semester. Recommended for students not already employed in their area of study.
Corequisite:
60 semester hours, department approval, and grades of B or better in 6 hours of upper level math
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3.00 Credits
Intensive study of one or more major topics in mathematics. Course may be repeated for credit with department approval.
Corequisite:
Department approval
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3.00 Credits
Intensive study under the guidance of a member of the Computer and Mathematical Sciences faculty culminating in an individually researched and formally written report and oral presentation dealing with the applications of the mathematical sciences in the student┐s area of specialization and related to one type of business or industry in the Houston area. Cross-listed as CS 4395, STAT 4395. Credit may not be earned for more than one.
Corequisite:
COMM 1304, ENG 3302,grade of B or better in CS/MATH 4294, 3.0 GPA, senior standing and department approval
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3.00 Credits
Intensive study under the guidance of a member of the Computer and Mathematical Sciences faculty which continues and expands the research carried out in MATH 4395. A formal written report and oral presentation will be required.
Corequisite:
Formal approval of department chair and student+s advisor for MATH 4395
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3.00 Credits
Intensive individual study under the guidance of a member of the Computer and Mathematical Sciences faculty.
Corequisite:
Formal approval by department chair and dean
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4.00 Credits
Intensive study of one or more major topics in mathematics. Course may be repeated for credit with department approval.
Corequisite:
Department approval
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3.00 Credits
Basic concepts of statistics for Master┐s candidates are explored, including descriptive statistics, probability concepts, point and interval estimation, hypothesis, regression, and analysis of variance. Applications will be geared to business problems, and interpretation of results will be stressed. Computer packages will be utilized, with an emphasis on output analysis.
Corequisite:
Graduate standing or department approval
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3.00 Credits
Topics will be chosen from Euclidean geometry, including properties of lines, planes, polygons and circles and other curves; concepts of congruence, symmetry, simple transformations and tesselations; techniques of measurement. Emphasis on applications, the use of manipulatives, graphing calculators and appropriate computer software.
Corequisite:
Department approval
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3.00 Credits
Topics will be chosen from introduction to set theory, functions and logic, elements of number theory, properties of the rational and real number systems, modular arithmetic, techniques of problem-solving. Emphasis on applications, the use of manipulatives, calculators and appropriate computer software.
Corequisite:
Department approval
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