2013-2014 GRADUATE BULLETIN - The University of Akron

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110 The University of Akron 2013-2014 518 INTRODUCTION TO DISCRETE STRUCTURES 3 credits Prerequisite: Admission to Computer Science master’s program or permission. Introduction to algebraic structures of particular use in computer science. Topics include algorithms and flow chart language, graphs and digraphs, trees, lattices codes. (May not be used to meet computer science master’s degree requirements) 521 OBJECT-ORIENTED PROGRAMMING 3 credits Prerequisite: Admission to Computer Science master’s program or permission. Object-oriented design, analysis, and programming using different development models. Comparison with other programming paradigms. 526 OPERATING SYSTEMS 3 credits Prerequisites: Admission to Computer Science master’s program or permission. Introduction to aspects of all modern operating systems: types; storage management; process and resource control; interacting process synchronization. (May not be used to meet computer science master’s degree requirements) 528 UNIX SYSTEM PROGRAMMING 3 credits Prerequisites: Admission to Computer Science master’s program or permission. An overview of the UNIX operating system. Shell programming. Process management, processor management, storage management, scheduling algorithms, resource protection, and system programming. 530 THEORY OF PROGRAMMING LANGUAGES 3 credits Prerequisite: Admission to Computer Science master’s program or permission. Advanced concepts underlying programming languages and their applications, formal definitions of programming languages, Backus Normal Form, semantics. Alternative programming paradigms including functional programming. (May not be used to meet computer science master’s degree requirements) 535 ALGORITHMS 3 credits Prerequisites: Admission to Computer Science master’s program or permission. Design and analysis of efficient algorithms for random access machines; derivation of pattern classification algorithms. 540 COMPILER DESIGN 3 credits Prerequisites: Admission to Computer Science master’s program or permission. Techniques used in constructing compilers, including lexical and syntactic analysis, parsing techniques, object code generation and optimization. Course requires a compiler implementation project. 545 INTRODUCTION TO BIOINFORMATICS 3 credits Prerequisites: Admission to Computer Science master’s program or permission. Introduce major themes in bioinformatics. Topics include concepts of molecular genetics, biological databases, database searching, sequence alignments, phylogenetic trees, structure prediction, and microarray data analysis. 553 COMPUTER SECURITY 3 credits Prerequisites: Admission to Computer Science master’s program or permission. Principles of computer security: cryptography, authentications, secure network protocols, intrusion detection and countermeasure. 555 DATA COMMUNICATIONS AND COMPUTER NETWORKS 3 credits Prerequisites: Admission to Computer Science master’s program or permission. ISO-OSI, TCP/IP, SNA data switching, protocols, flow and error control, routing, topology. Network trends, network taxonomies, and socket-based programming. 557 COMPUTER GRAPHICS 3 credits Prerequisites: Admission to Computer Science master’s program or permission. Topics in vector and raster graphics, interactive graphics languages, scan conversion, clipping, geometric transformation, projection, shading, animation, and virtual reality. 560 ARTIFICIAL INTELLIGENCE AND HEURISTIC PROGRAMMING 3 credits Prerequisite: Admission to Computer Science master’s program or permission. Study of various programs which have displayed some intelligent behavior. Exploration of level at which computers can display intelligence. 563 PERVASIVE COMPUTING 3 credits Prerequisite: Admission to Computer Science master’s program or permission. Computing from a wireless perspective. Topics include protocols, algorithms, security and sensor networks. 565 COMPUTER ARCHITECTURE 3 credits Prerequisites: Admission to Computer Science master’s program or permission. An introduction to the hardware organization of the computer at the register, processor and systems level. An in-depth study of the architecture of a particular computer systems family. (May not be used to meet computer science master’s degree requirements) 568 MOBILE ROBOTICS 3 credits Prerequisites: Admission to Computer Science master’s program or permission. Introduction to history, hardware and software components, and design of autonomous mobile robots. Multiple projects involving both physical robots and software emulation. 575 DATABASE MANAGEMENT 3 credits Prerequisite: Admission to Computer Science master’s program or permission. Fundamentals of database organization, data manipulations and representation, data integrity, privacy. 577 INTRODUCTION TO PARALLEL PROCESSING 3 credits Prerequisites: Admission to Computer Science master’s program or permission. Commercial processors: past and present. Parallel languages, models of parallel computation. Emphasis on parallel algorithm design and performance evaluation. A broad study of parallel paradigms with relation to real world applications. 580 SOFTWARE ENGINEERING 3 credits Prerequisite: Admission to Computer Science master’s program or permission. Introduction to formal software specification and validation. Introduction of methodologies and tools of design, development, validation, and maintenance. 589 TOPICS IN COMPUTER SCIENCE 1-3 credits (May be repeated) Prerequisite: permission of instructor. Selected topics in computer science at an advanced level. 597 INDIVIDUAL STUDY IN COMPUTER SCIENCE 1-3 credits (May be repeated. Can apply to degree, minor or certificate only with department approval) Prerequisite: permission. Directed studies designed as introduction to research problems under guidance of designated faculty member. 601 RESEARCH METHODOLOGY 3 credits Prerequisite: Admission to Computer Science graduate program or permission of instructor. Research process overview: literature review, formulation of problems, research design, writing proposals, data collection, data processing and analysis, evaluation, writing reports, and presenting results. 626 ADVANCED OPERATING SYSTEMS 3 credits Prerequisite: Admission to Computer Science master’s program or permission. Advanced topics in operating system design: synchronization mechanisms, performance evaluation, security, distributed operating systems. 630 ADVANCED THEORY OF PROGRAMMING LANGUAGES 3 credits Prerequisites: Admission to Computer Science master’s program or permission. In-depth study of various issues in the design and implementation of programming languages, such as formal type systems, operational and other semantics, and verification. 635 ADVANCED ALGORITHMS 3 credits Prerequisite: Admission to Computer Science master’s program or permission. Advanced graph algorithms, matrix multiplication, fast Fourier transforms, lower bound theory, complexity hierarchies, NP-complete and intractable problems, approximation techniques. 641 OPTIMIZATION FOR PARALLEL COMPILERS 3 credits Prerequisites: Graduate standing and permission of instructor. Advanced analysis and transformation strategies to support automatic vectorization and parallelization of code, emphasizing restructuring to improve instruction scheduling. 645 COMPUTATIONAL BIOLOGY 3 credits Prerequisites: Admission to Computer Science graduate program or permission of instructor. Topics include sequence analysis, hidden Markov model, RNA structure prediction, microarray data analysis, biological networks, and molecular dynamics simulation as well as Monte Carlo simulation. 653 SOFTWARE SECURITY 3 credits Prerequisites: Admission to Computer Science graduate program or permission of instructor. Issues in software security: common software security errors, steganography, spam, cryptography, malware, internet hacking. 655 COMPUTER NETWORKS AND DISTRIBUTED PROCESSING 3 credits Prerequisites: Admission to Computer Science master’s program or permission. Interconnection technologies, protocol layering models, datagram and stream transport services, clientserver paradigm, principles and protocols of interconnected networks operating as unified systems, and TCP/IP technology. 658 VISUALIZATION 3 credits Prerequisite: Admission to Computer Science master’s program or permission. Visualization pipeline, data representation in visualization, visualization algorithms, object-oriented visualization, scientific visualization, volume visualization, visualization applications and research topics. 660 EXPERT SYSTEMS 3 credits Prerequisite: Admission to Computer Science master’s program or permission. Architecture of expert systems, knowledge representation and acquisition, inference mechanisms for expert systems, uncertainty management, expert system tools and applications. 665 ADVANCED COMPUTER ARCHITECTURE 3 credits Prerequisite: Admission to Computer Science master’s program or permission. Fundamentals of computer analysis and design, with emphasis on cost/performance tradeoffs. Studies of pipelined, vector, RISC, and multiprocessor architectures. 670 ADVANCED AUTOMATA AND COMPATIBILITY 3 credits Prerequisite: Admission to Computer Science master’s program or permission. An in-depth study of concepts related to computability. Topics include nondeterministic automats, recursive function theory, the Chomsky hierarchy, Turing machines and undecidability. 676 DATA MINING 3 credits Prerequisite: Admission to Computer Science master’s program or permission. Study fundamental data mining algorithms and their applications in the process of Knowledge Discovery from Databases. Study data warehousing systems and architectures. 677 PARALLEL PROCESSING 3 credits Prerequisite: Admission to Computer Science master’s program or permission. Advanced computer architectures, theories of parallel computing, system resources optimization, efficient programming languages and application requirements of cost-effective computer systems. Classical results and practical insights into implementing parallel algorithms on actual parallel machines. 680 SOFTWARE ENGINEERING METHODOLOGIES 3 credits Prerequisites: Admission to Computer Science master’s program or permission. Introduction to current techniques and methodologies used in software design, development, validation, and maintenance. 689 ADVANCED TOPICS IN COMPUTER SCIENCE 1-3 credits (May be repeated) Prerequisite: permission of instructor. At most, six credits may be applied to degree requirements. Selected topics in computer science at an advanced level. (Department consent required for application to computer science master’s degree requirements) 695 PRACTICUM COMPUTER SCIENCE 1-3 credits Prerequisite: graduate teaching assistant or permission. Training and experience in college teaching of computer science under the supervision of an experienced faculty member. May not be used to meet degree requirements. Credit/non-credit. 697 INDIVIDUAL STUDY IN COMPUTER SCIENCE 1-3 credits (May be repeated. Can apply to degree only with departmental approval) Prerequisite: permission of instructor. Directed studies designed as introduction to research problems under guidance of designated faculty member. 698 MASTER’S RESEARCH 1-6 credits (May be repeated) Prerequisite: permission of advisor. Research in computer science topic culminating in a research paper. No more than three credits may be applied to the minimum degree requirements. 699 MASTER’S THESIS 1-6 credits Prerequisite: permission. (May be repeated for a total of 15 credits.) A properly qualified candidate for a master’s degree may enroll for research experience which culminates in presentation of a faculty-supervised thesis. STATISTICS 3470: 550 PROBABILITY 3 credits Prerequisite: Appropriate background is one semester of calculus or equivalent. Introduction to probability, random variables and probability distributions, expected value, sums of random variables, Markov processes. May not be used to meet graduate major requirements in statistics. 551,2 THEORETICAL STATISTICS I AND II 3 credits each Sequential. Prerequisite: Appropriate background is three semesters of calculus or equivalent. Elementary combinatorial probability theory, probability distributions, mathematical expectation, functions of random variables, sampling distributions, point and interval estimation, tests of hypotheses, regression and correlation, introduction to experimental designs. May not be used to meet graduate major requirements in statistics. 561 APPLIED STATISTICS 4 credits Prerequisite: Appropriate background is two semesters of calculus or equivalent. Applications of statistical theory to natural and physical sciences and engineering, including probability distributions, interval estimation, hypotheses testing (parametric and nonparametric), and simple linear regression and correlation. May not be used to meet graduate major requirements in statistics. 562 APPLIED REGRESSION AND ANOVA 4 credits Prerequisite: Appropriate background is one semester of applied statistics or equivalent. Applications of the techniques of regression and multifactor analysis of variance. May not be used to meet graduate major requirements in statistics. 565 DESIGN OF SAMPLE SURVEYS 3 credits Prerequisite: Appropriate background is one semester of applied statistics or equivalent. Design and analysis of frequently used sample survey techniques.
Graduate Courses 111 569 RELIABILITY MODELS 3 credits Prerequisite: Appropriate background is one semester of applied statistics or equivalent. Selected topics in reliability modeling including parametric and nonparametric models, competing modes of failure, censored data and accelerated life models. 571 ACTUARIAL SCIENCE I 3 credits Prerequisite: Appropriate background is one semester of theoretical statistics or one semester of applied statistics or equivalent. Study of various statistical, financial, and mathematical calculations used to determine insurance premiums related to contingent risks based on individual risk model frameworks. 572 ACTUARIAL SCIENCE II 3 credits Prerequisite: 571. Continuation of Actuarial Science I. Study of multiple life functions, multiple decrement models, valuation theory for pension plans, insurance models including expenses, nonforfeiture benefits and dividends. 573 SURVIVAL ANALYSIS 3 credits Prerequisite: Applied Statistics or equivalent. Basic concepts in survival analysis, censoring and data truncation, estimation of survival models, nonparametric hazard and survival function estimation, comparing survival times between groups. 575 FOUNDATIONS OF STATISTICAL QUALITY CONTROL 3 credits Prerequisite: Appropriate background is one semester of applied statistics or equivalent. Course provides a solid foundation in the theory and applications of statistical techniques widely used in industry. 580 STATISTICAL DATA MANAGEMENT 3 credits Prerequisites: Appropriate background is one semester of applied statistics or equivalent. Students learn data organization and structures, design of statistical databases, statistical software analysis, importing and exporting of data between software, and missing data analysis. 589 TOPICS IN STATISTICS 1-3 credits (May be repeated for a total of six credits) Prerequisite: permission. Selected topics in advanced statistics, including quality control, reliability, sampling techniques, decision theory, advanced inference, stochastic processes and others. 591 WORKSHOP IN STATISTICS 1-3 credits (May be repeated with change of topic) Group studies of special topics in statistics. May not be used to meet undergraduate or graduate major requirements in mathematics and statistics. May be used for elective credit only. 595 STATISTICAL CONSULTING 1-3 credits Prerequisite: 580 or permission. Students will be assigned to work with an instructor on current projects in the Center for Statistical Consulting. May be repeated for a total of 4 credits; however, only 2 credits will count toward major requirements. Does not count for elective credit for math science department majors. 650 ADVANCED PROBABILITY AND STOCHASTIC PROCESSES 3 credits Prerequisite: 651. Random walk, distributions, unlimited sequence of trials, laws of large numbers, convolutions, branching processes, renewal theory, Markov chains, time-dependent stochastic processes. 651 PROBABILITY AND STATISTICS 4 credits Prerequisite: Appropriate background is three semesters of calculus or equivalent. Probability, random variables, moments and generating functions, random vectors, special distributions, limit theorems, sampling, point estimation, hypothesis testing, confidence estimation. 652 ADVANCED MATHEMATICAL STATISTICS 3 credits Prerequisite: 651. Convergence of random variables, the Central Limit Theorem; theory of estimation; theory of hypothesis testing; the multivariate normal density; introduction to linear models; Bayesian statistics. 655 LINEAR MODELS 3 credits Prerequisites: Appropriate background is linear algebra or 651 or equivalent. General linear model in matrix notation, general linear hypothesis, regression models, experimental design models, analysis of variance and covariance, variance components. 661 STATISTICS FOR THE LIFE SCIENCES 3 credits Prerequisite: college level algebra or equivalent. Data description and presentation, probability applications in the life sciences (including sensitivity, specificity, relative risk), principles and application of statistical inference, ANOVA, correlation and regression. May not be used to meet graduate major requirements in statistics. 663 EXPERIMENTAL DESIGN 3 credits Prerequisite: Appropriate background is one semester of applied statistics or equivalent. Selected topics in experimental design including random and fixed effects, nested designs, split plot designs, confounding, fractional factorials, Latin squares, and analysis of covariance. 665 REGRESSION 3 credits Prerequisite: Appropriate background is one semester of applied statistics or equivalent. Correlation, simple and multiple linear regression: least squares, matrix notation, model building and checking estimation, hypothesis testing, outliers, influence, multicollinearity, transformations, categorical regressors; logistic regression. 666 NONPARAMETRIC STATISTICS-METHODS 3 credits Prerequisite: Appropriate background is one semester of applied statistics or equivalent. Theory and practice using techniques requiring less restrictive assumptions. Nonparametric analogues to t- and F-tests, ANOVA, regression and correlation. Computer applications. 667 FACTOR ANALYSIS 3 credits Prerequisite: Appropriate background is one semester of applied statistics or equivalent. Theory and techniques for identifying variables through use of principal components and factor analysis. Identification of groups using cluster analysis. Computer applications. 668 MULTIVARIATE STATISTICAL METHODS 3 credits Prerequisite: Appropriate background is two semesters of applied statistics or equivalent. Multivariate techniques including distance concept, Hotelling T2, multivariate ANOVA, regression and correlation, linear contrasts, factorial experiments, nested and repeat measure designs, Bonferroni X 2 tests, linear discrimination analysis, canonical correlations, application. 670 ADVANCED BIOSTATISTICS 3 credits Prerequisite: 570. Statistical issues and methods for biological, medical and health sciences, including: clinical trials, equivalence studies, genomics, comparative effectiveness studies, survival analysis, and bioassay. Computer applications. 675 RESPONSE SURFACE METHODOLOGY 3 credits Prerequisite: Appropriate background is two semesters of applied statistics or equivalent. First and second order response designs, efficient experimental plans, methods for the analysis, and optimization of response functions. 689 ADVANCED TOPICS IN STATISTICS 1-3 credits (May be repeated for a total of six credits) Prerequisite: 651. Selected topics in statistics including concepts in order, statistics, advanced inference, sequential analysis, stochastic processes, reliability theory, Bayesian statistics and regression. 692 STATISTICS MASTERS PAPER 1-3 credits (May be repeated) Prerequisite: permission of adviser. Supervised writing of paper for Masters of Science in Statistics Nonthesis Option. No more than two credits apply to major requirements. 695 PRACTICUM IN STATISTICS AND MATHEMATICS 1-3 credits Prerequisite: graduate teaching assistant or permission. Training and experience in college teaching of statistics. May not be used to meet degree requirements. Credit/noncredit. 697 INDIVIDUAL READING 1-2 credits (May be repeated for a total of four credits) Prerequisites: graduate standing and permission. Directed studies in statistics under guidance of selected faculty member. 698 MASTER’S RESEARCH 1-6 credits (May be repeated) Prerequisite: permission of advisor. Research in suitable topics in statistics culminating in a research paper. No more than 2 credits applicable to major requirements. 699 MASTER’S THESIS 2 credits (May be repeated for a total of 4 credits) Prerequisite: Permission. Properly qualified candidates for master’s degree may obtain 2-4 credits for research experience which culminates in presentation of faculty-supervised thesis. ENGINEERING APPLIED MATHEMATICS 3490: 790 ADVANCED SEMINAR IN APPLIED MATHEMATICS 1-4 credits Prerequisite: Permission. (May be repeated for a total of 12 credits.) For students seeking graduate degrees in Applied Mathematics. Advanced projects and studies in various areas of applied mathematics. 898 PRELIMINARY RESEARCH 1-15 credits Prerequisite: Permission. (May be repeated.) Completion of qualifying examination and approval of Student Advisory Committee. Preliminary investigation of Ph.D. dissertation topic. 899 DOCTORAL DISSERTATION 1-15 credits Prerequisite: Permission. (May be repeated.) Completion of Candidacy examination and approval of Student Advisory Committee. Original research by a Ph.D. candidate. MODERN LANGUAGES 3500: THE GENERAL DESGINATION OF 3500 IS USED FOR LANGUAGES THAT DO NOT HAVE A SPECIFIC DEPARTMENT NUMBER 590 WORKSHOP 1-4 credits Prerequisite: Graduate status or permission of department. (May be repeated for a maximum of eight credits) Group studies of special topics in modern languages. 597 INDIVIDUAL READINGS IN MODERN LANGUAGES 1-4 credits Prerequisite: Graduate status or permission of instructor and department chair. (May be repeated with departmental permission) Individual study under the guidance of professor who directs and coordinates student’s reading and research. ARABIC 3501: 522 SPECIAL TOPICS IN ARABIC 1-4 credits Prerequisite: Graduate status, permission of instructor and department chair. Development of specialized language skills or reading of significant works of literature or culture not studied in other courses. Conducted in Arabic. May be repeated once with different topic for a total of eight credits. 597 INDIVIDUAL READING IN ARABIC 1-4 credits Prerequisite: Graduate status, permission of instructor and department chair. Individual study under the guidance of a professor. May be repeated with departmental permission for a total of eight credits. CHINESE 3502: 522 SPECIAL TOPICS IN LANGUAGE, SKILLS, OR CULTURE OR LITERATURE 1-4 credits Prerequisite: Graduate status, permission of instructor and department chair. Development of specialized language skills or reading of significant works of literature or culture not studied in other courses. May be repeated once with different topic for a total of eight credits. 597 INDIVIDUAL READING IN CHINESE 1-4 credits Prerequisite: Graduate status, permission of instructor and department chair. Individual study under the guidance of a professor who directs and coordinates student’s reading and research. May be repeated with departmental permission for a total of eight credits. LATIN 3510: 597,8LATIN READING AND RESEARCH 3 credits each Prerequisite: Graduate status or permission of department. General Latin epigraphy, prose composition or philology; mumismatics or certain other archaeological topics may be offered. May be repeated for credit with change of subject. FRENCH 3520: 502 ADVANCED FRENCH GRAMMAR 3 credits Prerequisite: Graduate status or permission of department. Advanced study of normative French grammar with emphasis on syntax, morphology, grammatical structure and phonetic principles. 513 FRENCH CINEMA 3 credits Prerequisite: Graduate status or permission of department. Study and discussion of various aspects of French culture and civilization as characterized in movies. 522 SPECIAL TOPICS IN ADVANCED LANGUAGE SKILLS OR CULTURE OR LITERATURE 1-4 credits Prerequisite: Graduate status or permission of department. (May be repeated.) Development of specialized language skills or reading of significant works of literature or culture not studied in other courses. 527 20TH CENTURY FRENCH LITERATURE 4 credits Prerequisite: Graduate status or permission of department. Reading and discussion of the most representative works of period. Conducted in French. 530 CONTEMPORARY QUEBEC 3 credits Historical, political, sociological, and cultural overviews of Quebec, offering an in-depth examination of questions of identity through the study of literature and popular culture. 531 FRANCOPHONE LITERATURE 3 credits The problematics of identity (race, class) in a postcolonial context, studied through literary texts by authors from Africa, Caribbean, and Quebec. 560 SELECTED THEMES IN FRENCH LITERATURE 3 credits (May be repeated.) Conducted in French. Prerequisite: Graduate status or permission of department. Reading and discussion of literary works selected according to an important theme. 597,8INDIVIDUAL READING IN FRENCH 1-4 credits Prerequisites: Graduate status or permission of department. Individual reading in French, offered at the graduate level. (May be repeated for a total of eight credits.)
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2013-2014 GRADUATE BULLETIN THE UNI
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Important Phone Numbers 3 Important
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Background Information 5 • Launch
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Background Information 7 ence and E
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Background Information 9 seling and
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Background Information 11 The Docto
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Background Information 13 RESEARCH
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Background Information 19 EMERGENCY
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General Information 21 reate work a
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General Information 23 A student on
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General Information 25 of the resid
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Academic Requirements 27 Refunds fo
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Graduate Studies 29 Graduation To b
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Graduate Studies 31 • Minimum of
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Graduate Studies 33 3980:708 Urban
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Graduate Studies 35 Non-thesis Opti
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Graduate Studies 37 3350:687 Histor
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Graduate Studies 39 for graduation.
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Graduate Studies 41 7500:612 Practi
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Graduate Studies 43 Performance Opt
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Graduate Studies 45 • A copy of t
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Graduate Studies 47 College of Engi
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Graduate Studies 49 Admission Requi
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Graduate Studies 51 College of Educ
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Graduate Studies 53 • Applicants
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Graduate Studies 55 - Humanistic Fo
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Graduate Studies 57 Option 2: 5500:
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Page 101 and 102: Graduate Courses 101 SECTION 5. Gra
Page 103 and 104: Graduate Courses 103 674 INTEGRATED
Page 105 and 106: Graduate Courses 105 627 ECONOMETRI
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Page 115 and 116: Graduate Courses 115 709 INTRODUCTI
Page 121 and 122: Graduate Courses 121 630 SUMMER CON
Page 123 and 124: Graduate Courses 123 610 CLASSICAL
Page 125 and 126: Graduate Courses 125 704 FINITE ELE
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Page 131 and 132: Graduate Courses 131 590,1,2 WORKSH
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Page 137 and 138: Graduate Courses 137 571 MANAGEMENT
Page 139 and 140: Graduate Courses 139 639 AUDIOLOGY
Page 141 and 142: Graduate Courses 141 NUTRITION AND
Page 143 and 144: Graduate Courses 143 664 PSYCHIATRI
Page 145 and 146: Graduate Courses 145 722 ADVANCED M
Page 147 and 148: Appendices 147 Family Educational R
Page 149 and 150: Directory 149 DIRECTORY Board of Tr
Page 151 and 152: Directory 151 RICHARD S. GLOTZER, P
Page 153 and 154: Directory 153 TERRENCE M. O’SULLI
Page 155 and 156: Directory 155 Presidents *Deceased.
Page 157 and 158: Directory 157 Counseling Psychology
Page 159 and 160: Index 159 Outdoor, 65, 132 Physical
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Index 161 Admission, 74, 80 Adult G
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E. Market St. Martin Luther King Jr
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