| |
Communication and Information (CCI) |
| |
-
CCI 697 - Independent Study 3 Credit Hours
Directed research in a topic of mutual interest.
Repeatability: May be repeated. Maximum 6 hours.
Registration Restriction(s): Minimum student level – graduate.
Registration Permission: Consent of instructor.
|
Communication Studies (CMST) |
| |
-
CMST 500 - Thesis 1-15 Credit Hours
Grading Restriction: P/NP only.
Repeatability: May be repeated.
Comment(s): Admission to a degree program in Communication and Information required.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CMST 502 - Registration for Use of Facilities 1-15 Credit Hours
Required for the student not otherwise registered during any semester when student uses university facilities and/or faculty time before degree is completed.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated.
Credit Restriction: May not be used toward degree requirements.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CMST 505 - Human Communication Research Methods 3 Credit Hours
Understanding of wide array of data collection and analysis procedures used in human communication research.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level – graduate
|
| |
-
CMST 509 - Communication and Ethnography 3 Credit Hours
Theory and application of qualitative approaches to communication research. Emphasis is on ethnographic methods to obtain in-depth information about behaviors and beliefs of people in natural settings. Use of methods: structured interviews using heuristic elicitation methodology, participant/observation and case studies.
Credit Level Restriction: Graduate Credit only.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CMST 510 - Survey of Interpersonal Communication 3 Credit Hours
Survey of theory and research in interpersonal communication.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level - graduate.
|
| |
-
CMST 516 - Interpersonal Health Communication 3 Credit Hours
Identifies and addresses theories and research concerning how people communicate about health.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level - graduate.
|
| |
-
CMST 540 - Survey of Organizational Communication 3 Credit Hours
Survey of theory and research in organizational communication.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CMST 544 - Mindfulness Research and Experience 3 Credit Hours
An advanced study of mindfulness practice, theory and research. The course covers mindfulness in relation to self-regulation, health, and communication in intrapersonal, interpersonal, team, and organizational contexts. A one-day practicum is required.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level - graduate.
|
| |
-
CMST 560 - Special Topics in Communication Studies 3 Credit Hours
Presentation of focused topics in human communication theory and research.
Repeatability: May be repeated. Maximum 6 hours.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level - graduate.
Registration Permission: Consent of instructor.
|
| |
-
CMST 590 - Project 3 Credit Hours
Capstone project under guidance of faculty. Application of principles from previous course work.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated. Maximum 6 hours.
Comment(s): Admission to a degree program in Communication and Information required.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CMST 591 - Foreign Study 1-15 Credit Hours
Independent study outside U.S. Prior to departure student must have plan of study approved by department head and supervising faculty member. Credit given only upon fulfilling all requirements set by department.
Repeatability: May be repeated. Maximum 15 hours.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CMST 592 - Off-Campus Study/Internship 1-6 Credit Hours
Independent study outside traditional classroom setting: community involvement and/or work experiences. Credit given only upon fulfilling all requirements set by department.
Repeatability: May be repeated. Maximum 6 hours.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CMST 593 - Independent Study 1-6 Credit Hours
Independent study by individual under direction of faculty member.
Repeatability: May be repeated. Maximum 6 hours.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level – graduate.
Registration Permission: Advanced undergraduate students who wish to be considered must seek permission of instructor.
|
| |
-
CMST 680 - Communication Theory 3 Credit Hours
Survey of major theories and studies in interpersonal and organizational communication.
Registration Restriction(s): Enrollment is limited to students in the College of Communication and Information or consent of instructor. Minimum student level –graduate.
|
Comparative and Experimental Medicine (CEM) |
| |
-
CEM 500 - Thesis 1-15 Credit Hours
Grading Restriction: P/NP only.
Repeatability: May be repeated.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CEM 501 - Special Topics in Comparative and Experimental Medicine 1-6 Credit Hours
Specialized experience in comparative and experimental medicine.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated. Maximum 6 hours.
Registration Permission: Consent of instructor.
|
| |
-
CEM 502 - Registration for Use of Facilities 1-15 Credit Hours
Required for the student not otherwise registered during any semester when student uses university facilities and/or faculty time before degree is completed.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated.
Credit Restriction: May not be used toward degree requirements.
|
| |
-
CEM 503 - Infectious Disease Modeling 2-3 Credit Hours
Mathematical models for infectious diseases. Selected topics include transmission and control of infectious diseases, development and analysis of deterministic and stochastic models for disease transmission, analysis of epidemiological data, spatial models, and critical appraisal of modeling papers.
Repeatability: Not repeatable. May be taken once for credit.
Registration Permission: Consent of instructor.
|
| |
-
CEM 504 - Descriptive and Applied Epidemiology 3 Credit Hours
Principles of epidemiology as well as historic and modern applications to human and animal diseases. Host-agent relationships, measurement of disease frequency, disease monitoring and control in human and animal populations, field investigations, animal health economics and production.
|
| |
-
CEM 507 - Epidemiology of Vector-Borne, Bacterial, and Viral Zoonotic Diseases 2 Credit Hours
Emphasis is placed on understanding the host, agent, and environmental factors that determine the distribution of selected diseases of importance to both human and animal populations. Selected topics include vector-borne zoonoses, rabies, brucellosis, and psittacosis. This is an online course.
Recommended Background: Public health, veterinary medicine, nursing courses, or students in these programs.
Comment(s): Graduate or professional veterinary students at UTK and personnel employed by the Tennessee Department of Health and enrolled in the Applied Epidemiology Certificate Program.
Registration Permission: Consent of instructor.
|
| |
-
CEM 508 - Epidemiology of Parasitic, Foodborne, and Bacterial Zoonotic Diseases 2 Credit Hours
Emphasis is placed on understanding the host, agent, and environmental factors that determine the distribution of diseases of importance to both human and animal populations. Selected topics include anthrax and leptospirosis, in addition to parasitic and foodborne zoonoses. This is an online course.
Registration Permission: Consent of instructor.
|
| |
-
CEM 509 - Clinical Epidemiology 3 Credit Hours
Theory and practice of design and implementation and analysis of clinical research. Laboratories include appraisal of biomedical literature and design of a proposal for a clinical research project.
Registration Permission: Consent of instructor.
|
| |
-
CEM 510 - Graduate Research Participation 3 Credit Hours
Advanced research techniques while conducting individual biomedical research projects under supervision of faculty.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated. Maximum 9 hours.
Comment(s): Open to all graduate students.
Registration Permission: Consent of instructor.
|
| |
-
CEM 515 - Current Topics in Comparative and Experimental Medicine 1-6 Credit Hours
Specialized experience in comparative and experimental medicine.
Repeatability: May be repeated. Maximum 6 hours.
Registration Permission: Consent of instructor.
|
| |
-
CEM 525 - Research Ethics for the Life Sciences 1 Credit Hours
Cross-listed: (See Plant Sciences 525.)
|
| |
-
CEM 530 - Wildlife Diseases 2 Credit Hours
Cross-listed: (See Wildlife and Fisheries Science 530.)
|
| |
-
CEM 541 - Cellular and Molecular Basis of Disease 2 Credit Hours
Disease at the molecular level. Changes in molecular events in cells that lead to disease and occur as a result of disease. Correlation with clinical and pathological states. Systems covered: neurological, muscular, bone, respiratory, hematology.
(DE) Prerequisite(s): Biochemistry and Cellular and Molecular Biology 419.
|
| |
-
CEM 542 - Cellular and Molecular Basis of Disease 2 Credit Hours
Disease at the molecular level. Changes in molecular events in cells that lead to disease and occur as a result of disease. Correlation with clinical and pathological states. Systems covered: renal, liver/pancreas, metabolism, endocrinology, reproduction, immunology.
(DE) Prerequisite(s): Biochemistry and Cellular and Molecular Biology 419.
|
| |
-
CEM 544 - Cancer Cell Biology 2 Credit Hours
Comprehensive discussion of the major mechanisms of cancer initiation, promotion, and progression. Emphasizes experimental approaches, signaling pathways, technology, and animal models that are employed to study cancer. Students are expected to learn about common laboratory techniques in cancer research, apoptosis/cell cycle, and the following as they relate to cancer: alternative splicing, signaling pathways, inflammation, chemo/dietary prevention, animal models, pathobiology, PET/CT imaging, genetics, lipids, radio-oncology, metastasis/angiogenesis, and obesity.
Recommended Background: Advanced biology, including cell biology, molecular biology, biochemistry, microbiology, or genetics.
|
| |
-
CEM 550 - Introduction to Forensic Odontology 3 Credit Hours
Development of the discipline within a medico-legal context. From crime scene to positive identification to courtroom, dental remains as evidence are studied from a historic to current approach using taphonomic, radiographic, histologic, pathologic, and anthropologic perspectives.
Registration Permission: Consent of instructor.
|
| |
-
CEM 552 - Head and Neck Anatomy 4 Credit Hours
Detailed gross dissection of the human head and neck with traditional musculo-skeletal and neuro-vascular emphasis.
Contact Hour Distribution: 1 hour lecture and 3 hours lab per week.
Registration Permission: Consent of instructor.
|
| |
-
CEM 554 - Dental and Maxillofacial Anatomy/Histology 4 Credit Hours
Human dento-facial embryology, odontogenesis, mineralized tissue histology and dental morphology.
Contact Hour Distribution: 3 hours lecture and 1 hour lab per week.
Registration Permission: Consent of instructor.
|
| |
-
CEM 556 - Head and Neck Osteology and Trauma 4 Credit Hours
Detailed neuro- and viscero-cranial osteology, including embryology, post-natal facial growth and development, aging and degenerative pathology, and perimortem trauma.
Contact Hour Distribution: 2 hours lecture and 2 hours lab per week.
(DE) Prerequisite(s): 552.
Registration Permission: Consent of instructor.
|
| |
-
CEM 558 - Laboratory Methods in Forensic Odontology 4 Credit Hours
Instruction in oral autopsy procedures, preparation of crime scene or autopsy-related evidence, preparation of gross specimens and analysis, charting of dentitions, photography and radiography of dentitions, report writing for legal medicine, and dissection and light microscopy of tissues for reports and courtroom testimony.
Contact Hour Distribution: 1 hour lecture and 3 hours lab per week.
Registration Permission: Consent of instructor.
|
| |
-
CEM 561 - Pharmacology 4 Credit Hours
Basic principles of pharmacokinetic and pharmacodynamic theory and data modeling. The student will learn the physiologic processes that dictate the absorption, distribution, and elimination of drugs. The course includes a hands-on module where the student will learn how to analyze pharmacokinetic data, including noncompartmental and compartmental data analysis, population and physiology-based models, as well as principles of pharmacokinetic-pharmacodynamic integration.
Registration Permission: Consent of instructor.
|
| |
-
CEM 600 - Doctoral Research and Dissertation 3-15 Credit Hours
Grading Restriction: P/NP only.
Repeatability: May be repeated.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CEM 601 - Advanced Epidemiology 3 Credit Hours
Epidemiological study design, data analysis, and model building. Emphasis placed on using, understanding, and making inferences based on least squares, logistic Poisson, survival, and mixed models. STATA will be used as the basic computing language for all analyses.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CEM 602 - GIS and Geographical Epidemiology 3 Credit Hours
Principles and applications of Geographical Information Systems (GIS) and geographical epidemiology in human and animal health research and practice. Exposure to a wide range of spatial analysis techniques useful in the investigation of human and animal disease problems as well as vector dynamics. The knowledge gained is useful in guiding disease prevention and control strategies.
Recommended Background: Graduate-level epidemiology and statistics courses.
Comment(s): Consent of instructor is suggested.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CEM 607 - Diagnosis and Pathogenesis of Virus Diseases of Domestic Animals 3 Credit Hours
Advanced study of virus diseases important to domestic animals: virus biology, pathogenesis, pathology, and technical training in virus disease diagnosis.
Contact Hour Distribution: 2 hours and 1 lab.
Registration Restriction(s): Minimum student level – graduate.
Registration Permission: Consent of instructor.
|
| |
-
CEM 610 - Advanced Topics in Comparative and Experimental Medicine 1-3 Credit Hours
Specialized, in-depth experience in various disciplines. Current and future research methodology, recent advances in instrumentation in analytical techniques for comparative medicine.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated. Maximum 12 hours.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CEM 611 - Journal Club in Emerging Infectious Diseases 1 Credit Hours
Readings and discussions based on current literature.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated. Maximum 12 hours.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CEM 612 - Journal Club in Biomedical and Diagnostic Sciences 1 Credit Hours
Readings and discussions based on current literature.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated. Maximum 12 hours.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CEM 613 - Journal Club in Large Animal Clinical Sciences 1 Credit Hours
Readings and discussions based on current literature.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated. Maximum 12 hours.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CEM 614 - Journal Club in Small Animal Clinical Sciences 1 Credit Hours
Readings and discussions based on current literature.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated. Maximum 12 hours.
Comment(s): DVM or equivalent degree.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CEM 615 - Journal Club in Comparative and Experimental Medicine 1 Credit Hours
Readings and discussions based on current literature.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated. Maximum 12 hours.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CEM 616 - Comparative and Experimental Medicine Seminar 1 Credit Hours
Research seminars pertinent to disciplines within the program.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated. Maximum 12 hours.
Credit Restriction: Maximum 3 hours may be applied toward degree requirements.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CEM 617 - Medical Biology Seminar 1 Credit Hours
Invited speakers. Topics posted in advance.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated. Maximum 12 hours.
Credit Restriction: Maximum 3 hours may be applied toward degree requirements.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CEM 618 - Advanced Topics in Medical Science 1-3 Credit Hours
New developments in biological research applicable to clinical medicine.
Repeatability: May be repeated. Maximum 12 hours.
Comment(s): Primarily for doctoral candidates in comparative and experimental medicine.
Registration Restriction(s): Minimum student level – graduate.
Registration Permission: Consent of instructor.
|
| |
-
CEM 620 - Current Topics in Comparative and Experimental Medicine 1-3 Credit Hours
Specialized, in-depth experience in various disciplines, such as current and future research methodology, and recent advances in instrumentation in analytical techniques for comparative medicine.
Repeatability: May be repeated. Maximum 12 hours.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
CEM 650 - Surgical Pathology 1-2 Credit Hours
Examination of biopsy specimens and interpretation of observations. Preparation of specimens for sectioning.
Repeatability: May be repeated. Maximum 3 hours.
Registration Restriction(s): Minimum student level – graduate.
Registration Permission: Consent of Instructor.
|
| |
-
CEM 652 - Disorders of the Endocrine System 2 Credit Hours
Cross-listed: (See Animal Science 652.)
|
Comparative Literature (COLI) |
| |
-
COLI 401 - Special Topics in Comparative Literature 3 Credit Hours
Repeatability: May be repeated. Maximum 9 hours.
|
| |
-
COLI 402 - Special Topics in Comparative Literature 3 Credit Hours
Content varies.
Repeatability: May be repeated. Maximum 9 hours.
|
| |
-
COLI 452 - Modern Drama 3 Credit Hours
Cross-listed: (See English 452.)
|
| |
-
COLI 454 - Twentieth-Century International Novel 3 Credit Hours
Cross-listed: (See English 454.)
|
| |
-
COLI 510 - Special Topics 3 Credit Hours
Repeatability: May be repeated. Maximum 6 hours.
|
Computer Science (COSC) |
| |
-
COSC 420 - Biologically-Inspired Computation 3 Credit Hours
Recent developments in computational methods inspired by nature, such as neural networks, genetic algorithms, evolutionary programming, ant-swarm optimization, artificial immune systems, swarm intelligence, cellular automata, multi-agent systems, cooperation, and competition.
Recommended Background: Completion of core curriculum or consent of instructor.
|
| |
-
COSC 425 - Machine Learning 3 Credit Hours
Machine learning is concerned with computer programs that automatically improve their performance through experience. Covers the theory and practice of machine learning from a variety of perspectives. We cover topics such as learning decision trees, neural network learning, statistical learning methods, genetic algorithms, Bayesian learning methods, explanation-based learning, and reinforcement learning. Programming assignments include hands-on experiments with various learning algorithms.
(RE) Prerequisite(s): 302; Electrical and Computer Engineering 313 or Mathematics 323.
Comment(s): Prior knowledge may satisfy prerequisite with consent of instructor.
|
| |
-
COSC 440 - Formal Foundations of Software Engineering 4 Credit Hours
Principles of analysis and design of information systems. Principles of program design and verification, formal objects, formal specifications.
(RE) Prerequisite(s): 311.
|
| |
-
COSC 456 - Computer Graphics 3 Credit Hours
Digital image synthesis, geometric modeling and animation. Topics may include visual perception, displays and color spaces, frame buffers, affine transformations, data structures for geometric primitives, visible surface determination, shading and texturing, anti-aliasing computing light transport, rendering equation, shader programming, general purpose GPU programming, level of detail, curves and surfaces, and graphics hardware.
(RE) Prerequisite(s): 302.
Comment(s): Prior knowledge may satisfy prerequisite with consent of instructor.
|
| |
-
COSC 461 - Compilers 3 Credit Hours
Lexical analysis, parsing, program representation, type systems, runtime environments, code generation, optimization techniques.
(RE) Prerequisite(s): 302.
|
| |
-
COSC 462 - Parallel Programming 3 Credit Hours
Principles and practice of parallel computing; design, implementation, and evaluation of parallel programs for shared and distributed memory architectures, and vector processors. Sample topics include models of parallel computers, basic communication operations, performance and scalability of parallel systems, and programming techniques including multi-threading and message passing.
(RE) Prerequisite(s): 360 or 361.
|
| |
-
COSC 465 - Databases and Scripting Languages 3 Credit Hours
Introduction to database theory, models, and query formation. Survey of scripting languages, their uses, and their interconnectivity with databases.
(RE) Prerequisite(s): 311, 365.
|
| |
-
COSC 471 - Numerical Analysis 3 Credit Hours
Cross-listed: (See Mathematics 471.)
|
| |
-
COSC 472 - Numerical Algebra 3 Credit Hours
Cross-listed: (See Mathematics 472.)
|
| |
-
COSC 482 - Theory of Computation 3 Credit Hours
Properties of finite automata/regular sets and push-down automata/context-free languages. Countability, diagonalization, and undecidability. Complexity, including the classes P and NP, NP-completeness, and reduction techniques.
(RE) Prerequisite(s): 312.
|
| |
-
COSC 494 - Special Topics in Computer Science 1-3 Credit Hours
Repeatability: May be repeated. Maximum 9 hours.
|
| |
-
COSC 500 - Thesis 1-15 Credit Hours
Grading Restriction: P/NP only.
Repeatability: May be repeated.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
COSC 501 - Project in Lieu of Thesis 3 Credit Hours
Capstone course taken under supervision of student’s major professor and master’s committee. Individual project involving literature survey, development of some algorithms, software, testing, writing a white paper or journal paper, or other suitable project.
Repeatability: May be repeated. Maximum 6 hours.
Registration Permission: Consent of graduate committee.
|
| |
-
COSC 502 - Registration for Use of Facilities 1-15 Credit Hours
Required for the student not otherwise registered during any semester when student uses university facilities and/or faculty time before degree is completed.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated.
Credit Restriction: May not be used toward degree requirements.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
COSC 505 - Introduction to Programming for Scientists and Engineers 3 Credit Hours
Introduce programming and computational science and engineering to graduate students in the sciences and engineering. Problem solving and algorithm development. Might use various programming languages such as C++, Python or others as needed.
Comment(s): EECS majors cannot use course to meet degree requirements.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
COSC 525 - Engineering Dependable Software 3 Credit Hours
Survey of key ideas in software engineering: formal methods, tools, testing, reliability, structured design and development, metrics, management, and history of the field.
|
| |
-
COSC 526 - Introduction to Data Mining 3 Credit Hours
A comprehensive introduction to the field of data mining. Topics covered include data preprocessing, predictive modeling (e.g., decision trees, SVM, Bayes, K-nearest neighbors, bagging, boosting), model evaluation techniques, clustering (hierarchical, partitional, density-based), classification, association analysis, and anomaly detection. Case studies from text mining, electronic commerce, social science, and bioinformatics are covered. All programming projects are student-designed (no standard packages permitted).
Recommended Background: Programming proficiency in languages such as C, C++, or Java. Knowledge of scripting languages such as Perl or Python is very beneficial.
|
| |
-
COSC 527 - Biologically-Inspired Computation 3 Credit Hours
Recent developments in computational methods inspired by nature, such as neural networks, genetic algorithms, evolutionary programming, ant-swarm optimization, artificial immune systems, swarm intelligence, cellular automata, multi-agent systems, cooperation, and competition.
|
| |
-
COSC 528 - Introduction to Machine Learning 3 Credit Hours
Theoretical and practical aspects of machine learning techniques that enable computer systems to learn from experience. Methods studied include concept learning, decision tree learning, neural networks, Bayesian learning, instance-based learning, genetic algorithms, rule learning, analytical learning, and reinforcement learning.
Recommended Background: 302, 311, Mathematics 251; and Mathematics 323, or Electrical and Computer Engineering 313.
|
| |
-
COSC 529 - Autonomous Mobile Robots 3 Credit Hours
Introduction to key artificial intelligence issues involved in the development of intelligent robotics. Methods studied include locomotion, navigation, sensing, localization, mapping, exploration, path planning, robot learning, uncertainty, and multi-robot systems.
Recommended Background: 302, 311, Mathematics 251; and Mathematics 323, or Electrical and Computer Engineering 313.
|
| |
-
COSC 530 - Computer Systems Organization 3 Credit Hours
An exploration of the central issues in computer architecture: instruction set principles and design, memory hierarchies (cache and main memories, mass storage, virtual memory) and design, pipelining, instruction-level parallelism, bus organization, RISC (Reduced Instruction Set Computers), CISC (Complex Instruction Set Computers), multiprocessors, implementation issues, technology trends, architecture modeling and simulation.
Recommended Background: Course work in architecture or machine organization.
|
| |
-
COSC 534 - Network Security 3 Credit Hours
In-depth study on core Internet and wireless technologies, related security concerns, common security vulnerabilities, and good security practices. Hands-on experience exploiting network protocols and communications, and setting up secure network connections. Hands-on assignments will be given, requiring demonstration, presentation and report writing.
Credit Restriction: Students cannot receive credit for both 434 and 534.
Recommended Background: Electrical and Computer Engineering 453, Electrical and Computer Engineering 461.
|
| |
-
COSC 545 - Fundamentals of Digital Archeology 3 Credit Hours
An advanced topic course focused on developing multi-disciplinary skills of discovering, retrieving, analyzing, and presenting operational data. Students will use critical thinking and intense practice solving real-world problems to recognize and address key operational issues: the lack of context, missing observations, and incorrect values. At the end of the course students will be able to discover operational data, to retrieve and store it, to recover context, to estimate the impact of missing events, to identify unreliable or incorrect values, and to present the results. Hands-on assignments will be given, requiring demonstration, presentation and report writing.
Credit Restriction: Students cannot receive credit for both 445 and 545.
Recommended Background: 340, 370, Electrical and Computer Engineering 313.
|
| |
-
COSC 554 - Markov Chains in Computer Science 3 Credit Hours
Theoretical and computational aspects of finite-state Markov chains in computer science. Applications including analysis of algorithms, computer and network system models, and performance evaluation. Probability relevant to discrete-state stochastic processes. Discrete- and continuous-parameter Markov chains. Small scale programming assignments to compute basic properties. Introduction to variable-length memory chains, infinite-state chains, and multitype branching processes.
Recommended Background: 311 and 312..
|
| |
-
COSC 556 - Computer Graphics 3 Credit Hours
Digital image synthesis, geometric modeling and animation. Topics may include visual perception, displays and color spaces, frame buffers, affine transformations, data structures for geometrical primitives, visible surface determination, shading and texturing, anti-aliasing, computing light transport, rendering equation, shader programming, general purpose GPU programming, level of detail, curves and surfaces, and graphics hardware.
Recommended Background: 302.
|
| |
-
COSC 557 - Visualization 3 Credit Hours
Graphical techniques to reveal intrinsic properties in data, acquired or computationally-simulated, from various scientific, medical and engineering applications. Topics may include visual perception, structure and storage of high-dimensional data (structured and unstructured), visualization of scalar fields, vector fields, tensor fields, or other complex quantities, time-varying data, advanced light transport (single-scattering and multiple-scattering), transfer functions, graphs and manifolds, level sets, interpolation, hierarchical and parallel acceleration methods. The design and use of leading production visualization packages will also be covered.
Recommended Background: 556.
|
| |
-
COSC 560 - Software Systems 3 Credit Hours
Design and implementation of compilers, software systems; optimization, run-time storage administration. Software system design issues; description, structure and design of contemporary software systems.
Recommended Background: Course work in systems programming.
|
| |
-
COSC 565 - Survey of Programming Languages 3 Credit Hours
Survey of different programming paradigms and their application to real-world applications. Topics may include scripting languages, event-based languages, functional languages, logic-based languages, and other cutting-edge language paradigms.
Recommended Background: 302.
|
| |
-
COSC 566 - Web Security 3 Credit Hours
In-depth study on core web technologies, related security concerns, and common vulnerabilities. Hands on experience with multi-tier web applications (HTML, JavaScript, HTTP, application frameworks, and databases), vulnerability analysis and exploitation (injection, authentication, access control, client-side and server-side issues), and building secure applications. Hands-on assignments will be given, requiring demonstration, presentation and report writing.
Credit Restriction: Students cannot receive credit for both 466 and 566.
Recommended Background: Computer Science 302.
|
| |
-
COSC 567 - Graphical User Interfaces 3 Credit Hours
Design and implementation of graphical user interfaces. Topics may include design principles for effective human-computer interaction, and algorithms for dialog management, output rendering, and animation.
Recommended Background: 360 and 365.
|
| |
-
COSC 571 - Numerical Mathematics I 3 Credit Hours
Cross-listed: (See Mathematics 571.)
|
| |
-
COSC 572 - Numerical Mathematics II 3 Credit Hours
Cross-listed: (See Mathematics 572.)
|
| |
-
COSC 574 - Finite Element Methods 3 Credit Hours
Cross-listed: (See Mathematics 574.)
|
| |
-
COSC 580 - Foundations 3 Credit Hours
Foundations of computer science, including Turing machines, computability and computational complexity.
Recommended Background: Automata theory course.
|
| |
-
COSC 581 - Algorithms 3 Credit Hours
Analysis of algorithms and relevance of analysis to design of efficient computer algorithms. Sorting, searching, graph algorithms, pattern matching, dynamic programming, efficient approximation algorithms.
Recommended Background: Fundamental algorithms course.
|
| |
-
COSC 583 - Applied Cryptography 3 Credit Hours
In-depth study on the underlying mathematics, computational methodologies, associated theoretical considerations, applications and practical cryptographic techniques. Hands-on assignments will be given, requiring demonstration, presentation and report writing.
Credit Restriction: Students cannot receive credit for both 483 and 583.
Recommended Background: Mathematics 251, Computer Science 311.
|
| |
-
COSC 592 - Off-campus Study 1-6 Credit Hours
Repeatability: May be repeated. Maximum 6 hours.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
COSC 593 - Independent Study 1-15 Credit Hours
Repeatability: May be repeated. Maximum 45 hours.
|
| |
-
COSC 594 - Special Topics in Computer Science 1-3 Credit Hours
Repeatability: May be repeated. Maximum 45 hours.
|
| |
-
COSC 600 - Doctoral Research and Dissertation 3-15 Credit Hours
Grading Restriction: P/NP only.
Repeatability: May be repeated.
Registration Restriction(s): Minimum student level – graduate.
|
| |
-
COSC 620 - Advanced Topics in Intelligent Systems 1-6 Credit Hours
Repeatability: May be repeated. Maximum 45 hours.
Registration Restriction(s): Minimum student level – graduate.
Registration Permission: Consent of instructor.
|
| |
-
COSC 650 - Advanced Topics in Pattern/Image Analysis 1-6 Credit Hours
Repeatability: May be repeated. Maximum 45 hours.
Registration Restriction(s): Minimum student level – graduate.
Registration Permission: Consent of instructor.
|
| |
-
COSC 660 - Advanced Topics in Software Systems 1-6 Credit Hours
Repeatability: May be repeated. Maximum 45 hours.
Registration Restriction(s): Minimum student level – graduate.
Registration Permission: Consent of instructor.
|
| |
Page: 1 <- 4
| 5
| 6
| 7
| 8
| 9
| 10
| 11
| 12
| 13
| 14
… Forward 10 -> 40 |
Print this Page