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CS 4333: THEORY AND APPL OF NEURAL NETS
3.00 Credits
University of Houston-Downtown
Introduction to basic concepts of neural networks used in supervised and unsupervised learning. Several learning rules and algorithms will be presented along with applications. Cross-listed as MATH 4333. Credit may not be earned for both.
Corequisite:
Grade of C or better in MATH 2307, MATH 2403, and CS 2310
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CS 4334: FUZZY LOGIC
3.00 Credits
University of Houston-Downtown
This course will cover important ideas in the theory and applications of fuzzy logic such as operations on fuzzy sets, alpha cuts, possibility measure, ruled based computations, associative memories and other topics as time permits. Cross-listed as MATH 4334. Credit may not be earned for both.
Corequisite:
Grade of C or better in CS 2410 and MATH 2307
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CS 4334 - FUZZY LOGIC
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CS 4336: NEURO-FUZZY SYSTEMS
3.00 Credits
University of Houston-Downtown
Advanced topics selected from fuzzy logic, regression and optimization, adaptive networks, neural nets, and neuro-fuzzy systems. Cross-listed as MATH 4336. Credit may not be earned for both. CS/MATH 4333 or CS/MATH 4334 recommended.
Corequisite:
MATH 2403, MATH 2307, and CS 2410
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CS 4336 - NEURO-FUZZY SYSTEMS
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CS 4380: FIELD EXPERIENCE IN COMP SCI
3.00 Credits
University of Houston-Downtown
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:
At least 60 semester hours, grade of B or better in CS 3304, 3306 and 2402 and approval of department chair
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CS 4380 - FIELD EXPERIENCE IN COMP SCI
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CS 4390: SPECIAL TOPICS IN COMPUTER SCI
3.00 Credits
University of Houston-Downtown
Intensive study of one or more major topics in computer science, especially with respect to a new or emerging area. Course may be repeated for credit with department approval.
Corequisite:
Department approval
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CS 4390 - SPECIAL TOPICS IN COMPUTER SCI
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CS 4395: SENIOR PROJECT
3.00 Credits
University of Houston-Downtown
Intensive study under the guidance of a member of the Computer and Mathematical Sciences faculty which culminates in an individually researched and formally written report and oral presentation dealing with the applications of computer science in the student┐s area of specialization and related to one type of business or industry in the Houston area. Cross-listed as MATH 4395, STAT 4395. Credit may not be earned for more than one.
Corequisite:
COMM 1304, ENG 3302,grade of B or better in CS 4294, 3.0 GPA, senior standing and department approval
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CS 4395 - SENIOR PROJECT
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CS 4396: SENIOR THESIS
3.00 Credits
University of Houston-Downtown
Intensive study under the guidance of a member of the Computer and Mathematical Sciences faculty which continues and expands the research carried out in CS 4395. A formal written report and oral presentation will be required.
Corequisite:
Approval of department chair and the student+s advisor for CS 4395
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CS 4399: DIRECTED STUDY MATH CS
3.00 Credits
University of Houston-Downtown
Intensive individual study under the guidance of a member of the Computer and Mathematical Sciences faculty.
Corequisite:
Approval of department chair and dean
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CS 4399 - DIRECTED STUDY MATH CS
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CSP 1101: COLLEGE SUCCESS
1.00 Credits
University of Houston-Downtown
An introduction to college life. Topics include study skills, time management, university resources, library skills, and goal setting. Recommended for all new and returning students.
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CSP 1301: EFFECTIVE LEARNING MODELS
3.00 Credits
University of Houston-Downtown
An overview of how humans acquire, process, and apply knowledge. Designed to provide entering and returning students the analytical and critical skills necessary for college success.
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CSP 1301 - EFFECTIVE LEARNING MODELS
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