Jan 31, 2023  
2018-2019 Graduate Catalog 
    
2018-2019 Graduate Catalog [ARCHIVED CATALOG]

Courses


Courses offered only online or both online and on-ground are indicated with (**)asterisks.

 

Computer Science

  
  •  

    COMP 7514 - Cognitive Science Sem

    (3) Systematic study of current topics in Cognitive Science; student required to make presentations and prepare research paper or project. No more than 3 hours may be applied to MS with computer science concentration. Grades of S, U, or IP will be given.
  
  •  

    COMP 7515 - Complex Systems Sem

    (3) Systematic study of information processing, broadly construed, natural or artificial, occurring in complex systemic interactions, such as those encountered in dynamical, neural, biological, social, evolutionary, and cyberspatial systems.
  
  •  

    COMP 7517 - Human/Comptr Interact **

    (3) Facts, theories, and issues about human sensation, perception, and interaction for developing more ergonomic and human-like computer interfaces; interactive platforms in use or under development.
  
  •  

    COMP 7601 - Topics Discrete Modelng

    (3) Application of computer models to problem solving in natural language processing, decision making, pattern recognition, image processing, and phenomena in physics, chemistry and biology.
  
  •  

    COMP 7612 - Foundations of Computing

    (3) Review of basic models of computation and complexity; measures and modes of complexity analyses, both logical and experimental; deterministic and stochastic methods for program analysis and data compaction. PREREQUISITE(S): COMP 6601  and COMP 6030 , or permission of instructor. 
  
  •  

    COMP 7712 - Algorithms/Prob Solv

    (3) Covers algorithms problems, techniques, and design emphasizing problem solving and implementation skills; topics include advanced data structures, graph algorithms, string matching, network flow, dynamic programming, and randomized algorithms.
  
  •  

    COMP 7713 - Advanced Topics Algorithms

    (3) Advanced methods and data structures in sequential algorithms, including amortized analysis, backtracking, and branch-and-bound, heuristics, randomized algorithms, derandomization, approximation, and approximability; basic parallel models and algorithms, including sorting and searching, numerical, symbolic, and probabilistic algorithms.
  
  •  

    COMP 7717 - Topics In Algorithms

    (3) Recent developments and practical issues in algorithms and data structures.
  
  •  

    COMP 7719 - Combinatorial Optimiztn

    (3) Computational complexity: reductions, oracles and NP-completeness; five basic problems on convex sets in Euclidean spaces; pivoting, ellipsoid, and basis reductions methods; optimization on graphs; matching and stable set polytopes; algorithms on perfect graphs.
  
  •  

    COMP 7720 - Artificial Intelligence

    (3) (Same as EECE 7720 -EECE 8720 ) (Same as EECE 7720-8720). Central issues of artificial intelligence, including game playing, planning, machine learning, common-sense reasoning, perception and action; implementations in LISP.
  
  •  

    COMP 7740 - Neural Networks

    (3) (Same as EECE 7740 -EECE 8740 ) (Same as EECE 7740-8740). Learning algorithms for multilayer perceptrons, least-mean squares, backpropagation and its variants, cascade-correlation, other supervised learning algorithms; unsupervised methods, including Hebbian, competitive, and reinforcement learning; applications to associative memories, combinatorial optimization, component analysis, function approximation, pattern classification; theory of neurodynamics, including equilibrium, stability, and computational power.
  
  •  

    COMP 7745 - Machine Learning

    (3) An introduction to machine learning: hypothesis spaces, formation and evaluation; concept learning, decision trees, linear regression and perceptrons; graphical models (naïve Bayes, Bayes Nets, Hidden Markov Models); computational learning theory; Support Vector Machines; instance-based learning. Grades of S, U, or IP will be given.
  
  •  

    COMP 7747 - Adv Topics in Machine Learning

    (3) Advanced concepts in machine learning, including: inference and learning in graphical models, reinforcement learning, Markov decision processes, active learning, unsupervised learning, deep learning, autoencoders, Boltzmann machines.
  
  •  

    COMP 7760 - Control Auto Agents

    (3) Exploration and current applications of nontraditional control methods for design of autonomous agents, both in hardware and software, capable of operating in unusual and complex environments, such as subsumption architectures, adaptive fuzzy systems and software agents; novel learning and action selection paradigms. Grades of S, U, or IP will be given.
  
  •  

    COMP 7770 - Knowledge Rep/Reason

    (3) Focuses on long-standing issues of knowledge representation, including ontologies; knowledge structures; and representing events, actions, time, space, geometry, and common-sense knowledge. Student will complete a project using declarative language. Grades of S, U, or IP will be given.
  
  •  

    COMP 7780 - Natural Lang Processng

    (3) (Same as PSYC 7221 -PSYC 8221 ) (Same as PSYC 7221-8221). Computational aspects, algorithms, and techniques for human language processing; topics include lexical analysis, syntactic parsing, semantics, word sense disambiguation, logic forms, dialog, and pragmatics; applications include question answering and information extraction among others. Grades of S, U, or IP will be given.
  
  •  

    COMP 7820 - Pci Algrthms/Mach Visn

    (3) Image formation and sensing in vision systems; basic algorithms for processing continuous and discrete images; edge detection; shape detection vs. brightness, lightness, shading, and color; reflectance maps; stereoscopic systems; pattern classification; representation problems; basic concepts and applications of computational geometry; passive navigation and motion planning.
  
  •  

    COMP 7900 - Cyber Ethics

    (3) Issues, concepts, and frameworks for cyber ethics: privacy, intellectual property, professionalism, code of ethics and professional practices, software developers’ obligations to different stakeholders, freedom of speech on Internet; case studies of ethical tradeoffs in technical decisions. (Offered alternate years)
  
  •  

    COMP 7901 - Ind Studies Comp Sci

    (1-4) Directed independent problem research and program design, writing, and documentation in an area selected by student with approval of both adviser and supervising staff members. Repeatable by permission. Repeatable by permission (Offered alternate years)
  
  •  

    COMP 7950 - Research Methods Comp Sci

    (1) Overview of research methods in computer science; how to read and write research papers in computer science; presentation skills for technical presentations; software tools for research in computer science. NOTE: Open to Computer Science majors only. NOTE: Open to Computer Science majors only. (Offered alternate years)
  
  •  

    COMP 7960 - Sem Teaching/Res/Consult

    (3) Non-traditional setting in which masters students develop skills in areas of teaching, research, and consulting. Required of all graduate assistants in the department. NOTE: Computer Science majors may not use this course to fulfill degree requirements. NOTE: Computer Science majors may not use this course to fulfill degree requirements. PREREQUISITE(S): PSYC 7215 /PSYC 8215 .
  
  •  

    COMP 7980 - Master’s Project

    (1-3) Research for specific projects under the supervision of a faculty member and possibly a liaison from commerce or industry. Each section of this class will be designated for a special area. Offered alternate years.
  
  •  

    COMP 7990 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor.
  
  •  

    COMP 7991 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor. Grades of A-F, or IP will be given.
  
  •  

    COMP 7992 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor.
  
  •  

    COMP 7993 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor.
  
  •  

    COMP 7994 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor.
  
  •  

    COMP 7995 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor.
  
  •  

    COMP 7996 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor.
  
  •  

    COMP 7996 - Thesis

    (1-6)
  
  •  

    COMP 7997 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor.
  
  •  

    COMP 7998 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor.
  
  •  

    COMP 7999 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor.
  
  •  

    COMP 8012 - Fndtns/Software Engr

    (3) (Same as EECE 7012 -EECE 8012 ) (Same as EECE 7012-8012). Covers project management; software disciplines (requirements, analysis, design, implementation, testing); software modeling notations; mapping designs to code. Students work in teams to develop a significant software system.
  
  •  

    COMP 8041 - Compiler Design

    (3) Translation of computer source language–including compiling of interpreters, scanning, and code generation–for arithmetical and Boolean expressions, arrays, conditional and iterative statements using recursive and nonrecursive compiling techniques; construction of automated compiler given a source language in form of a context-free grammar and a target in the form of actions to be performed when rules of grammar are satisfied.
  
  •  

    COMP 8081 - Software Engr Methodologies

    (3) Common software engineering methodologies, such as waterfall, prototyping, iterative and incremental development, spiral development, rapid application development, and extreme programming; advanced object-oriented analysis and design methods, reuse, and testing.
  
  •  

    COMP 8083 - Engineering Secure Software

    (3) Development of secure software systems; writing secure code; vulnerability detection; limiting the impact of security vulnerabilities, balancing security properties (confidentiality, integrity, availability); cryptography concepts, trust versus trustworthiness, attack vectors/surface, malware detection/defense, risk and threat intelligence.
  
  •  

    COMP 8085 - Program Comprehension

    (3) Cognitive and mental models of how people learn to program and how people understand existing large software systems; software environments to assist software developers build, maintain, and evolve software systems; how visualization of software systems aids in program comprehension. PREREQUISITE(S) or COREQUISITE(S): COUN 7411 .
  
  •  

    COMP 8087 - Topics Software Engr

    (3) Recent theoretical and practical issues in software engineering. May be repeated for a maximum of 6 credit hours with permission of the department. May be repeated for a maximum of 6 credit hours with permission of the department PREREQUISITE(S) or COREQUISITE(S): COUN 7411 .
  
  •  

    COMP 8116 - Adv Database Systems

    (3) Advanced data modeling; object-oriented and object-relational databases; indexing of complex data; advanced transaction processing; on-line analytical processing and data warehousing; distributed database processing.
  
  •  

    COMP 8117 - Topic Database Mgmt Sys

    (3) Advanced current research topics in database and information management, with emphasis on nontraditional data and applications.
  
  •  

    COMP 8118 - Data Mining

    (3) Approaches to data mining and knowledge discovery (graphical, statistical, combinatorial, heuristic); classification and clustering; time series analysis; spatial data mining; data mining applications. PREREQUISITE(S) or COREQUISITE(S): COUN 7411 .
  
  •  

    COMP 8120 - Cryptgrphy/Data Securty

    (3) (Same as MIS 7670 -MIS 8670 ) (Same as MIS 7670-8670). Ancient and modern cryptology and ciphers; security problems in computing; basic encryption and decryption; public-key cryptography, notions of security in computing environments; encryption, protocols; security for programs, OSs, data bases, PCs, networks and communication; legal, ethical and human factors in computer security.
  
  •  

    COMP 8130 - Inform Retrieval/Web Search

    (3) Computational aspects, algorithms, and techniques for information retrieval from large collections of documents; major topics include ad-hoc retrieval, text processing, classical models of retrieval, term-weighting schemes, query operations, web search, text categorization, and text classification. PREREQUISITE(S) or COREQUISITE(S): COUN 7551 .
  
  •  

    COMP 8150 - Fundamentals of Data Science

    (3) The data life cycle; data collection, cleansing, visualization and storage; methods and models for data analysis and management; analysis tools, including statistical packages, experimental design software tools and computer simulations; evaluation and deployment of results; ethical and societal factors.
  
  •  

    COMP 8212 - Operating/Distrib Sys

    (3) Overview of operating system architecture for centralized and distributed systems; storage device and file systems; process management, scheduling, synchronization, interprocess communications and security; case studies of selected operating systems.
  
  •  

    COMP 8272 - Parallel Computing

    (3) Introduction to parallel and distributed computing; various aspects of parallel programming including architecture, communication, algorithms, performance, and programming; distributed computing architectures such as client-server and CORBA; synchronization, replication, and distributed file systems; benchmark applications.
  
  •  

    COMP 8274 - Topics Distrib Computng

    (3) Introduction to emerging topics in distributed computing; heterogeneous computing and middleware over the Internet and the World-Wide Web; distributed cache coherency problem; wireless computing and wearable devices; avatar computing; application of distributed computing to E-commerce and other fields.
  
  •  

    COMP 8282 - Evolutionry Computation

    (3) Computational implementation of biological analogies, such as genetic algorithms, genetic programming, embryonics, evolutionary engineering; representation, fitness functions, fitness landscapes, automatically defined functions; applications to optimization, machine learning, software development.
  
  •  

    COMP 8290 - Molecular Computing

    (3) (Same as MMCS 7290-8290) (Same as MMCS 7290-8290). Basics of cell biology and genetics (DNA structure and enzymes, replication and translation); feasible DNA-based solution of hard computational problems; issues in the design of molecular computers; foundations of nanotechnology.
  
  •  

    COMP 8295 - Algorithms Comp Biol/Bioinform

    (3) Algorithms for problems arising in molecular biology, such as sequence matching, alignment, gene finding, sequence assembly, phylogeny, and structure prediction; internet resources; statistical analysis of DNA, RNA, and protein sequences.
  
  •  

    COMP 8311 - Adv Computer Networks

    (3) Internet architecture and layering; intra-domain and inter-domain routing protocols; congestion control; network QoS; peer-to-peer networks; overlay networks; wireless and sensor networks.
  
  •  

    COMP 8313 - Ntwrk Dsgn/Perf Anlys

    (3) Mathematical modeling of networking problems; proving correctness of networking algorithms; applying optimization techniques to solving networking problems; deriving deterministic bounds on performance (approximation factors) for hard networking systems; deriving probabilistic guarantees on the performance of networking systems.
  
  •  

    COMP 8327 - Network/Internet Secrty

    (3) Concepts of network security; survey of security software packages; security in Java; intrusion-detection systems; current security issues on Internet and electronic commerce.
  
  •  

    COMP 8514 - Cognitive Science Sem

    (3) Systematic study of current topics in Cognitive Science; student required to make presentations and prepare research paper or project. No more than 3 hours may be applied to MS with computer science concentration. Grades of S, U, or I will be given.
  
  •  

    COMP 8515 - Complex Systems Sem

    (3) Systematic study of information processing, broadly construed, natural or artificial, occurring in complex systemic interactions, such as those encountered in dynamical, neural, biological, social, evolutionary, and cyberspatial systems. Grades of S, U, or I will be given.
  
  •  

    COMP 8517 - Human/Comptr Interact

    (3) Facts, theories, and issues about human sensation, perception, and interaction for developing more ergonomic and human-like computer interfaces; interactive platforms in use or under development.
  
  •  

    COMP 8601 - Topcis Discrete Modelng

    (3) Application of computer models to problem solving in natural language processing, decision making, pattern recognition, image processing, and phenomena in physics, chemistry and biology.
  
  •  

    COMP 8612 - Foundations of Computing

    (3) Review of basic models of computation and complexity; measures and modes of complexity analyses, both logical and experimental; average case analysis of algorithms; information complexity and its applications to coding; deterministic and stochastic methods for data analysis and compaction, hypothesis testing, and estimation.
  
  •  

    COMP 8712 - Algorithms/Prob Solv

    (3) Covers algorithms problems, techniques, and design emphasizing problem solving and implementation skills; topics include advanced data structures, graph algorithms, string matching, network flow, dynamic programming, and randomized algorithms.
  
  •  

    COMP 8713 - Advanced Topics Algorithms

    (3) Advanced methods and data structures in sequential algorithms, including amortized analysis, backtracking, and branch-and-bound, heuristics, randomized algorithms, derandomization, approximation, and approximability; basic parallel models and algorithms, including sorting and searching, numerical, symbolic, and probabilistic algorithms.
  
  •  

    COMP 8717 - Topics In Algorithms

    (3) Recent developments and practical issues in algorithms and data structures.
  
  •  

    COMP 8719 - Combinatorial Optimiztn

    (3) Computational complexity: reductions, oracles and NP-completeness; five basic problems on convex sets in Euclidean spaces; pivoting, ellipsoid, and basis reductions methods; optimization on graphs; matching and stable set polytopes; algorithms on perfect graphs.
  
  •  

    COMP 8720 - Artificial Intelligence

    (3) (Same as EECE 7720 -EECE 8720 ) (Same as EECE 7720-8720). Central issues of artificial intelligence, including game playing, planning, machine learning, common-sense reasoning, perception and action; implementations in LISP.
  
  •  

    COMP 8740 - Neural Networks

    (3) (Same as EECE 7740-8740) (Same as EECE 7740-8740). Learning algorithms for multilayer perceptrons, least-mean squares, backpropagation and its variants, cascade-correlation, other supervised learning algorithms; unsupervised methods, including Hebbian, competitive, and reinforcement learning; applications to associative memories, combinatorial optimization, component analysis, function approximation, pattern classification; theory of neurodynamics, including equilibrium, stability, and computational power.
  
  •  

    COMP 8745 - Machine Learning

    (3) An introduction to machine learning: hypothesis spaces, formation and evaluation; concept learning, decision trees, linear regression and perceptrons; graphical models (naïve Bayes, Bayes Nets, Hidden Markov Models); computational learning theory; Support Vector Machines; instance-based learning.
  
  •  

    COMP 8747 - Adv Topics in Machine Learning

    (3) Advanced concepts in machine learning, including: inference and learning in graphical models, reinforcement learning, Markov decision processes, active learning, unsupervised learning, deep learning, autoencoders, Boltzmann machines.
  
  •  

    COMP 8760 - Control Auto Agents

    (3) Exploration and current applications of nontraditional control methods for design of autonomous agents, both in hardware and software, capable of operating in unusual and complex environments, such as subsumption architectures, adaptive fuzzy systems and software agents; novel learning and action selection paradigms.
  
  •  

    COMP 8770 - Knowledge Rep/Reason

    (3) Focuses on long-standing issues of knowledge representation, including ontologies; knowledge structures; and representing events, actions, time, space, geometry, and common-sense knowledge. Student will complete a project using declarative language.
  
  •  

    COMP 8780 - Natural Lang Processng

    (3) (Same as PSYC 7221 -PSYC 8221 ) (Same as PSYC 7221-8221). Computational aspects, algorithms, and techniques for human language processing; topics include lexical analysis, syntactic parsing, semantics, word sense disambiguation, logic forms, dialog, and pragmatics; applications include question answering and information extraction among others.
  
  •  

    COMP 8820 - Pci Algrthms/Mach Visn

    (3) Image formation and sensing in vision systems; basic algorithms for processing continuous and discrete images; edge detection; shape detection vs. brightness, lightness, shading, and color; reflectance maps; stereoscopic systems; pattern classification; representation problems; basic concepts and applications of computational geometry; passive navigation and motion planning.
  
  •  

    COMP 8901 - Ind Studies Comp Sci

    (1-4) Directed independent problem research and program design, writing, and documentation in an area selected by student with approval of both adviser and supervising staff members. Repeatable by permission. Repeatable by permission
  
  •  

    COMP 8960 - Sem Teaching/Res/Consult

    (3) Non-traditional setting in which masters students develop skills in areas of teaching, research, and consulting. Required of all graduate assistants in the department. NOTE: Computer Science majors may not use this course to fulfill degree requirements. NOTE: Computer Science majors may not use this course to fulfill degree requirements. PREREQUISITE(S): COUN 7541  or COUN 7542 , enrollment in a COUN or CPSY degree program or permission of instructor.
  
  •  

    COMP 8990 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor. Grades of S, U, or IP will be given.
  
  •  

    COMP 8991 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor. Grades of S, U, or IP will be given.
  
  •  

    COMP 8992 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor. Grades of S, U, or IP will be given.
  
  •  

    COMP 8993 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor.
  
  •  

    COMP 8994 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor.
  
  •  

    COMP 8995 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor.
  
  •  

    COMP 8996 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor. Grades of S, U, or IP will be given.
  
  •  

    COMP 8997 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor.
  
  •  

    COMP 8998 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor. Grades of S, U, or IP will be given.
  
  •  

    COMP 8999 - Advanced Topics in Computer Science

    (1-3) Advanced topics and recent developments in computer science. Repeatable by permission PREREQUISITE(S): COMP 2150 or permission of instructor.
  
  •  

    COMP 9000 - Dissertation

    (1-12) Independent research for the PhD degree.Grades of S, U, or IP will be given. PREREQUISITE(S): Enrollment in a COUN or CPSY degree program or permission of instructor.

Consumer Science and Education

  
  •  

    CCFA 6001 - Arts/Schools Institute

    (1)
  
  •  

    CSED 6101 - Preschool Curriculum

    (3) (HMEC 6101). Application of child development principles to program planning; infancy through four years of age.
  
  •  

    CSED 6204 - Frnshng Prblms Prsntns

    (3) (HMEC 6204). Problems in planning, coordinating, and purchasing of home furnishings. PREREQUISITE(S): CSED 2004, 4304.
  
  •  

    CSED 6205 - Behv Sci Aspct Clothng

    (3) (HMEC 6205). Interdisciplinary study of clothing and appearance: concepts, methodologies, and applications of behavioral science to clothing.
  
  •  

    CSED 6300 - Family Resource Mgmt

    (3) (HMEC 6300). Investigates values, goals, and human and material resources necessary for individuals and families to make informed management decisions throughout the life span.
  
  •  

    CSED 6304 - Trnds Hsng Home Frnsh

    (3) (HMEC 6304). Major trends and influences on contemporary residential furnishings as these affect home furnishings merchandising. PREREQUISITE(S): CSED 2104.
  
  •  

    CSED 6383 - Mat/Meth Family CSED

    (3) (HMEC 6383). Methods in high school subjects with an emphasis in Consumer Science and Education instruction; open to graduate or transfer students seeking update or initial certification. PREREQUISITE(S): Permission of instructor.
  
  •  

    CSED 6393 - Occp Meth Family CSed

    (3) (HMEC 6393). Special emphasis on instructional strategies and evaluation through classroom and on-site participation. PREREQUISITE(S): CSED 4383 or CSED 6383  and permission of instructor.
  
  •  

    CSED 6405 - Textiles

    (3) (HMEC 6405). Selection, use, and care of textiles related to properties of fibers, yarn structures, fabric construction, and finishes; morphology and chemistry of fibers, finishes, dyes, fabric maintenance, and procedure involved in fiber, yarn, and fabric identification.
  
  •  

    CSED 6900 - Study Tour: CSed

    (1)
  
  •  

    CSED 6904 - Sty Tour: Hsng/Hm Frnsh

    (1) (HMEC 7904). On-the-scene knowledge about housing and home furnishings. May be repeated for a maximum of 6 credit hours. Only 6 hours applicable to degree. May be repeated for a maximum of 6 credit hours. Only 6 hours applicable to degree. PREREQUISITE(S): Permission of instructor.
  
  •  

    CSED 6906 - Sty Tr: Fshn/Mrchnd

    (1) (HMEC 6900-006). On-the-scene knowledge about fashion merchandising. May be repeated for a maximum of 6 credit hours. Only 6 hours applicable to degree. May be repeated for a maximum of 6 credit hours. Only 6 hours applicable to degree. PREREQUISITE(S): Permission of instructor.
  
  •  

    CSED 7300 - Independent Stdy In CSED

    (1) (HMEC 7300). Opportunity for creative, directed, independent study in a specific area of Consumer Science and Education to provide breadth and/or depth to the student’s program of study. May be repeated for a maximum of 3 credit hours. May be repeated for a maximum of 3 credit hours. PREREQUISITE(S): Permission of instructor.
  
  •  

    CSED 7312 - Intrn Child Care Srv

    (3) (HMEC 7311). Materials, methods, and coordination of work experiences for occupational Home Economics including supervised on-the-job experience in a selected occupational area (child care services) for the teacher. PREREQUISITE(S): CSED 2102, CSED 6101 , CSED 7393 , or their equivalents. Grades of S, U, or IP will be given
  
  •  

    CSED 7313 - Intrn Food Service

    (3) (HMEC 7312). Materials, methods, and coordinating of work experiences for occupational Home Economics including supervised on-the-job experience in a selected occupational area (food service) for the teacher. PREREQUISITE(S): CSED 2202, 3302, 4202, 6502, CSED 7393 , or their equivalents. Grades of S, U, or IP will be given.
  
  •  

    CSED 7393 - Sem Family/Consumr Sci

    (1) (HMEC 7393). Analysis of the philosophy, curriculum, operation, and evaluation of vocational programs in family and consumer sciences with scope and direction based on Federal Vocational Legislation and State Department of Education: Rules and Regulations.
 

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