Jun 17, 2024  
2021-22 Graduate Catalog 
    
2021-22 Graduate Catalog [ARCHIVED CATALOG]

Courses


NOTE: Certain courses and programs require the use and/or handling of hazardous materials or equipment. Students are expected to follow all safety instructions and to take the required safety precautions including, but not limited to, the use of personal protection equipment (PPE) during the course or program to prevent incidences of injury to self or other students.

 

Child Development Family Services

  
  
  

Communication (Speech)

  
  
  
  
  
  
  
  
  

Communication Disorders

  
  
  
  
  

Computational Science

  
  • COMS 6100 - Fundamentals of Computational Science

    3 credit hours
    Prerequisite: Admission to the Computational Science Ph.D. program or permission of instructor. Foundational overview of the mathematical and scientific underpinnings of computational science. Introduces the principles of finding computer solutions to contemporary science challenges. Offers preparation for core and elective courses in the Ph.D. program in Computational Science by reviewing essential mathematical methods and basic science principles drawn from biology, chemistry, and physics. Special topics include techniques of high performance computing and applications, parallel systems, and theory of computation, case studies in computational chemistry, physics, and mathematical biology.


    Click here for the Summer 2024 Schedule of Classes

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  • COMS 6500 - Fundamentals of Scientific Computing

    4 credit hours
    Prerequisite: Graduate standing or permission of instructor. Fundamentals of problem solving approaches in computational science, including computer arithmetic and error analysis, linear and nonlinear equations, least squares, interpolation, numerical differentiation and integration, optimization, random number generations and Monte Carlo simulation. Students will gain computational experience by analyzing case studies using modern software packages such as MATLAB.


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  • COMS 7100 - Applied Computational Science

    4 credit hours
    Prerequisite: Graduate standing or permission of instructor. Intense lecture and practice-based course in computational methods, with a research program offered. Possible topics include computational aspects of linear algebra; contemporary numerical methods (finite difference-based and boundary integral equation-based) for solving initial and boundary value problems for ordinary and partial differential equations arising in engineering, natural sciences, and economics and finance.


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  • COMS 7640 - Dissertation Research

    1 to 6 credit hours
    Prerequisite: Advancement to candidacy within the Computational Science Ph.D. program. Involves the student working with their research advisor on any of the aspects of the Ph.D. dissertation from the selection of research problem, a review of the pertinent literature, formulation of a computational approach, data analysis, and composition of the dissertation.


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  • COMS 7654 - Professional Seminar: Topic

    1 to 3 credit hours
    (Same as MSE/MOBI 7654.) Prerequisite: Graduate standing or permission of instructor. Focuses on a specific topic in a given semester. Topics include themes for advancing graduate students professional knowledge such as grant proposal preparation process, making successful presentations, and publishing research in the field. May be repeated with different topic.


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  • COMS 7700 - Advanced Concepts in Computational Science

    3 or 4 credit hours
    Graduate standing or permission of instructor. Advanced topics and protocols specific to different subdivisions of computational science not covered in core or elective courses offered through the program. Students will work under the direct supervision of the instructor. Lecture and/or laboratory components. May be repeated for 6 to 8 credit hours.


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  • COMS 7840 - Selected Topics in the Natural and Applied Sciences

    3 credit hours
    Graduate standing or permission of instructor. Selected topics in the natural and applied sciences for Computational Science students. Provides an opportunity to study applications of computational techniques to real world problems and enhance the domain knowledge of students within the program. Rotating topics may include computational chemistry, computational physics, and computational biology.


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  • COMS 7900 - Computational Science Capstone

    4 credit hours
    Prerequisites: COMS 6500  and CSCI 6330  or permission of instructor. Requires students to apply advanced computing and mathematics to solve problems in natural and applied sciences. Students expected to apply parallel computing, advanced simulation and data mining techniques to solve a research problem in collaboration with advisor. Course co-taught by two faculty members from different departments. Final presentations open to students, faculty, and visitors.


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  • COMS 7950 - Research Seminar in Computational Science

    1 credit hours
    Prerequisite: Admission to the Computational Science Ph.D. program or permission of instructor. Seminar course to build a broader understanding of problems and research topics in computational science through advanced reading of selected journal articles, group discussion, and presentations by both external and internal speakers in computational science.


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Computer Science

  
  
  
  
  
  • CSCI 5360 - Intelligent Robot Systems

    3 credit hours
    Prerequisites: CSCI 3110 and CSCI 3080. Principles and applications of intelligent mobile robotics. Various architectures used in the basic AI robotics development paradigms and basic techniques used for robot navigation. Strong emphasis on hands-on mobile robot design, construction, programming, and experimentation using a variety of robot building platforms.


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  • CSCI 5600 - Independent Study in Computer Science

    1 to 6 credit hours
    Prerequisite: Consent of instructor. Students wishing to enroll must submit a written course/topic proposal to the department prior to the semester in which CSCI 5600 is taken. Proposal must be approved prior to taking the course. At the conclusion of the course, each enrollee will submit a written summary of the project.


    Click here for the Summer 2024 Schedule of Classes

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  • CSCI 6020 - Data Abstraction and Programming Fundamentals

    4 credit hours
    Prerequisites: Previous programming experience in a high-level language and consent of instructor. Advanced introduction to data abstraction, problem solving, and programming. Programming language concepts, recursion, program development, algorithm design and analysis, data abstraction, objects and fundamental data structures such as stacks, queues, and trees. Three hours lecture and two hours lab. Will not count toward a major or minor.


    Click here for the Summer 2024 Schedule of Classes

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  • CSCI 6050 - Computer Systems Fundamentals

    4 credit hours
    Prerequisite: CSCI 6020  or COMS 6100  with minimum grade of B or equivalent. Advanced introduction to computer systems. Data representations, computer arithmetic, machine-level representations of programs, program optimization, memory hierarchy, linking, exceptional control flow, virtual memory and memory management, basic network concepts, and basic concurrent concepts and programming. Three hours lecture and two hours lab. Will not count toward a major or minor unless approved by the department.


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  • CSCI 6430 - Selected Topics in Parallel Processing

    3 credit hours
    Prerequisite: CSCI 4330 or  . An in-depth investigation of one or more topics in parallel processing. Topic(s) to be selected by the professor. Possible topics include parallel algorithms, parallel programming languages, parallel programming tools, parallel software engineering, parallel architectures, parallel applications, and parallel VLSI. Repeatable up to 6 hours.


    Click here for the Summer 2024 Schedule of Classes

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  • CSCI 6560 - Selected Topics in Database

    3 credit hours
    Prerequisite: CSCI 4560 or CSCI 5560 . An in-depth investigation of one or more topics in database. Topic(s) to be selected by the professor. Possible topics include object-oriented database systems, distributed database systems, client-server database systems, deductive databases, multimedia databases, and database theory (concurrency, query optimization, recovery, security). Repeatable up to 6 hours.


    Click here for the Summer 2024 Schedule of Classes

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  • CSCI 6600 - Selected Topics in Computer Science

    3 credit hours
    Prerequisites: CSCI 3110; a solid foundation in undergraduate computer science and any other prerequisites determined by the instructor. An in-depth investigation of one or more topics in computer science. Topic(s) to be selected by the professor. Possible topics include search techniques, for example genetic algorithms, soft computing, object-oriented software engineering, expert systems, program verification, software quality, knowledge discovery in databases, and design of embedded software systems. May be repeated for up to six credits total.


    Click here for the Summer 2024 Schedule of Classes

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  • CSCI 6620 - Research Methods in Computer Science

    3 credit hours
    Corequisite: Three hours of CSCI 6000-level graduate work (other than CSCI 6640 ) with minimum grade of B. Emphasizes communication skills, creative thinking, problem solving, and integration of knowledge from prior computer science courses. Includes a study of computer science research tools. Students will select a research problem with approval of the instructor, review pertinent literature, and produce a report using the manual of thesis writing currently approved by the College of Graduate Studies.


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  • CSCI 7300 - Scientific Visualization and Databases

    3 credit hours
    Prerequisites: CSCI 6020 , COMS 6100 , and COMS 6500  with minimum grade of B or equivalent or consent of instructor. Introduction to the concepts, theories, and applications of database and visualization methodologies for scientific data. Relational database design along with relational algebras, data independent, functional dependencies, inference rules, normal forms, schema design, modeling language, and query languages discussed. Methods corresponding to the visualization of scalar, vector, and tensor fields as well as multifield problem discussed. Database and visualization discussed in the context of scientific applications.


    Click here for the Summer 2024 Schedule of Classes

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  • CSCI 7350 - Data Mining

    3 credit hours
    Prerequisite: Fundamental courses in the Computational Science Ph.D. program and CSCI 6020  or equivalent or consent of instructor. Introduction to concepts, theories, techniques, issues, and applications of data mining. Data preprocessing, association rule analysis, classification analysis, cluster and outlier analysis, deviation detection, statistical modeling, consideration of emergent technologies.


    Click here for the Summer 2024 Schedule of Classes

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  • CSCI 7400 - Cloud Computing for Data Analysis

    3 credit hours
    Prerequisite: CSCI 3110 with grade of C or better. Familiarity with Java, Python, C++, Unix, good programming skills, and a solid mathematical background recommended. Introduces the basic principles of cloud computing for massive data applications. Focuses on parallel and/or distributed computing using frameworks like Hadoop and Apache Spark for massive data applications in the areas of web search, information retrieval, and machine learning. Students read and present research papers on these topics, implement programming assignments and projects to get hands-on experience with the cloud computing frameworks for data analysis.


    Click here for the Summer 2024 Schedule of Classes

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Concrete Industry Management

  
  • CIM 5800 - Special Problems in Concrete Industry Management

    1 to 3 credit hours
    Prerequisite: Permission of department. Opportunity to pursue projects of individual interest in concrete industry management. Projects may be technical and/or managerial in nature and may require any combination of literature reviews, lab work, field studies, and other research methods. A faculty member will approve a formally submitted proposal for the study, supervise progress, and grade a report and a presentation which are required upon completion of the project. May be repeated. No more than 6 hours may count toward degree.


    Click here for the Summer 2024 Schedule of Classes

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Construction Management Technology

  

Counseling

  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
 

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