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CMSC Computer Science( Computer, Mathematical and Physical Sciences) CMSC102 Introduction to Information Technology; (3 credits) Grade Method: REG/P-F/AUD. CORE Interdisciplinary & Emerging Issues (IE) Course.For non-majors only. Not recommended for BMGT students. Not open to students who have completed CMSC114 or higher. Credit will be granted for only one of the following: CMSC102, CMSC132 or CMSC214. If CMSC102 is taken before CMSC132 or CMSC214, then credit will be granted for both. A historical and practical introduction to computer and network terminology, applications and concepts. Students will have hands-on experience with a variety of tools available to find and access information on the Internet, to exchange information between computers, and to perform basic web design. Students will explore applications (such as browsers and spreadsheets) as well as different computing environments (such as Windows and UNIX). There will be discussions of social, legal, and ethical issues related to technology. CMSC131 (PermReq) Object-Oriented Programming I; (4 credits) Grade Method: REG/P-F/AUD. Corequisite: MATH140 and permission of department. Not open to students who have completed CMSC114. Introduction to programming and computer science. Emphasizes understanding and implementation of applications using object-oriented techniques. Develops skills such as program design and testing as well as implementation of programs using a graphical IDE. Programming done in Java. For CMSC majors only. CMSC132 (PermReq) Object-Oriented Programming II; (4 credits) Grade Method: REG/P-F/AUD. Prerequisite: CMSC131 with a grade of C or better; or a score of 5 on the A Java AP exam; or a score of 4 or 5 on the AB Java AP exam; or permission of the department based on satisfactory performance on the department placement exam and permission of department. Corequisite: MATH141. Introduction to use of computers to solve problems using software engineering principles. Design, build, test, and debug medium -size software systems and learn to use relevant tools. Use object-oriented methods to create effective and efficient problem solutions. Use and implement application programming interfaces (APIs). Programming done in Java. CMSC132H (PermReq) Object-Oriented Programming II; (4 credits) Grade Method: REG/P-F/AUD. Prerequisite: CMSC131 with a grade of C or better; or a score of 5 on the A Java AP exam; or a score of 4 or 5 on the AB Java AP exam; or permission of the department based on satisfactory performance on the department placement exam and permission of department. Corequisite: MATH141. For general honors students only. CMSC198A (PermReq) Special Topics in Computer Science for Non-Majors: Special Topics for Non-Computer Science Majors; (1-4 credits) Grade Method: REG/P-F/AUD. Individual Instruction course: contact department or instructor to obtain section number. CMSC198G Special Topics in Computer Science for Non-Majors: Designing Human Computer Interaction; (3 credits) Grade Method: REG. CMSC198N Special Topics in Computer Science for Non-Majors: Introduction to Computer Programming via the Web; (3 credits) Grade Method: REG. Click here for more information. CMSC212 (PermReq) Introduction to Low-Level Programming Concepts; (4 credits) Grade Method: REG/P-F/AUD. Prerequisite: CMSC132 with a grade of C or better; or permission of the department based on satisfactory performance on the department placement exam and permission of department. Corequisite: CMSC250. Introduction to many of the concepts that lie behind software, such as hardware, memory layout, memory management, and operating systems. Explain how these concepts affect the design of software systems. CMSC250 (PermReq) Discrete Structures; (4 credits) Grade Method: REG/P-F/AUD. Prerequisite: CMSC131 with a grade of C or better; MATH141; and permission of department. Formerly CMSC150. Fundamental mathematical concepts related to computer science, including finite and infinite sets, relations, functions, and propositional logic. Introduction to other techniques, modeling and solving problems in computer science. Introduction to permutations, combinations, graphs, and trees with selected applications. Prerequisite: CMSC 131 with a grade of C or better; MATH 141.Permission of department. CMSC298A (PermReq) Special Topics in Computer Science; (1-4 credits) Grade Method: S-F. Individual Instruction course: contact department or instructor to obtain section number. CMSC311 (PermReq) Computer Organization; (3 credits) Grade Method: REG. Prerequisite: CMSC212 and CMSC250 each with a grade of C (2.0) or better; and permission of department. Introduction to assembly language. Design of digital logic circuits. Organization of central processors, including instruction sets, register transfer operations, control microprogramming, data representation, and arithmetic algorithms. Memory and input/output organization. CMSC330 (PermReq) Organization of Programming Languages; (3 credits) Grade Method: REG. Prerequisite: CMSC212 and CMSC250: each with a grade of C (2.0) or better; and permission of department. The semantics of programming languages and their run-time organization. Several different models of languages are discussed, including procedural (e.g., C, Pascal), functional (e.g., ML, LISP), rule-based (e.g., Prolog), and object-oriented (e.g., C++, Smalltalk). Run-time structures, including dynamic versus static scope rules, storage for strings, arrays, records, and object inheritance are explored. CMSC351 (PermReq) Algorithms; (3 credits) Grade Method: REG. Prerequisite: CMSC212 and CMSC250: each with a grade of C (2.0) or better; and permission of department. CMSC351 may not count as one of the required upper level CMSC courses for students who are required to have 24 upper level CMSC credits for graduation, i.e. for students who became computer science majors prior to Fall, 2002. Credit will be granted for only one of the following: CMSC251 or CMSC351. Formerly CMSC251. A systematic study of the complexity of some elementary algorithms related to sorting, graphs and trees, and combinatorics. Algorithms are analyzed using mathematical techniques to solve recurrences and summations. CMSC390 (PermReq) Honors Paper; (3 credits) Grade Method: REG. Individual Instruction course: contact department or instructor to obtain section number. Prerequisite: admission to CMSC Honors Program. Special study or research directed toward preparation of honors paper. CMSC411 Computer Systems Architecture; (3 credits) Grade Method: REG. Prerequisite: A grade of C or better in (CMSC311 or ENEE350) and a grade of C or better in CMSC330; and permission of department; or CMSC graduate student. Input/output processors and techniques. Intra-system communication, buses, caches. Addressing and memory hierarchies. Microprogramming, parallelism, and pipelining. CMSC412 Operating Systems; (4 credits) Grade Method: REG. CORE Capstone (CS) Course. Prerequisites: A grade of C or better in (CMSC311 or ENEE350) and a grade of C or better in CMSC330; and permission of department; or CMSC graduate student. An introduction to batch systems, spooling systems, and third-generation multiprogramming systems. Description of the parts of an operating system in terms of function, structure, and implementation. Basic resource allocation policies. CMSC414 Computer and Network Security; (3 credits) Grade Method: REG. Prerequisite: A grade of C or better in (CMSC311 or ENEE350) and a grade of C or better in CMSC330; and permission of department; or CMSC graduate student. An introduction to the topic of security in the context of computer systems and networks. Identify, analyze, and solve network-related security problems in computer systems. Fundamentals of number theory, authentication, and encryption technologies, as well as the practical problems that have to be solved in order to make those technologies workable in a networked environment, particularly in the wide-area Internet environment. CMSC417 Computer Networks; (3 credits) Grade Method: REG. Prerequisite: A grade of C or better in CMSC351, a grade of C or better in (CMSC311 or ENEE350), and a grade of C or better in CMSC330; and permission of department; or CMSC graduate student. Computer networks and architectures. The OSI model including discussion and examples of various network layers. A general introduction to existing network protocols. Communication protocol specification, analysis, and testing. CMSC420 Data Structures; (3 credits) Grade Method: REG. Prerequisites: A grade of C or better in CMSC330 and in CMSC351; and permission of department; or CMSC graduate student. Description, properties, and storage allocation of data structures including lists and trees. Algorithms for manipulating structures. Applications from areas such as data processing, information retrieval, symbol manipulation, and operating systems. CMSC424 Database Design; (3 credits) Grade Method: REG. CORE Capstone (CS) Course. Prerequisite: CMSC420 with a grade of C or better; and permission of department; or CMSC graduate student. Motivation for the database approach as a mechanism for modeling the real world. Review of the three popular data models: relational, network, and hierarchical. Comparison of permissible structures, integrity constraints, storage strategies, and query facilities. Theory of database design logic. CMSC433 Programming Language Technologies and Paradigms; (3 credits) Grade Method: REG. Prerequisite: CMSC330; and permission of department; or CMSC graduate student. Programming language technologies (e.g., object-oriented programming), their implementations and use in software design and implementation. CMSC434 Introduction to Human-Computer Interaction; (3 credits) Grade Method: REG. Prerequisites: CMSC330 with a grade of C or better and PSYC100; and permission of department; or CMSC graduate student. Assess usability by quantitative and qualitative methods. Conduct task analyses, usability tests, expert reviews, and continuing assessments of working products by interviews, surveys, and logging. Apply design processes and guidelines to develop professional quality user interfaces. Build low-fidelity paper mockups, and a high-fidelity prototype using contemporary tools such as graphic editors and a graphical programming environment (eg: Visual Basic, Java). CMSC435 Software Engineering; (3 credits) Grade Method: REG. CORE Capstone (CS) Course. Prerequisites: (CMSC412, CMSC417, CMSC420, CMSC430, or CMSC433) with a grade of C or better and permission of department; or CMSC graduate student. State-of-the-art techniques in software design and development. Laboratory experience in applying the techniques covered. Structured design, structured programming, top-down design and development, segmentation and modularization techniques, iterative enhancement, design and code inspection techniques, correctness, and chief-programmer teams. The development of a large software project. CMSC451 Design and Analysis of Computer Algorithms; (3 credits) Grade Method: REG. Prerequisite: a grade of C or better in CMSC351; and permission of department; or CMSC graduate student. Fundamental techniques for designing efficient computer algorithms, proving their correctness, and analyzing their complexity. General topics include sorting, selection, graph algorithms, and basic algorithm design paradigms (such as divide-and-conquer, dynamic programming and greedy algorithms), lower bounds and NP-completeness. CMSC452 Elementary Theory of Computation; (3 credits) Grade Method: REG. Prerequisite: CMSC351 with a grade of C or better; and permission of department; or CMSC graduate student. Alternative theoretical models of computation, types of automata, and their relations to formal grammars and languages. CMSC456 Cryptology; (3 credits) Grade Method: REG. Prerequisites: Any two 400-level MATH courses; or CMSC330 and CMSC351; and permission of department; or CMSC graduate student. Also offered as MATH456. Credit will be granted for only one of the following: CMSC456 or MATH456. Importance in protecting data in communications between computers. The subject lies on the border between mathematics and computer science. Mathematical topics include number theory and probability, and computer science topics include complexity theory. CMSC460 Computational Methods; (3 credits) Grade Method: REG. Prerequisites: MATH240; and MATH241; and CMSC106 or CMSC114 or ENEE114; and permission of department; or CMSC graduate student. Also offered as AMSC460. Credit will be granted for only one of the following: AMSC/CMSC/MAPL460 or AMSC/CMSC/MAPL466. Basic computational methods for interpolation, least squares, approximation, numerical quadrature, numerical solution of polynomial and transcendental equations, systems of linear equations and initial value problems for ordinary differential equations. Emphasis on methods and their computational properties rather than their analytic aspects. Intended primarily for students in the physical and engineering sciences. CMSC466 Introduction to Numerical Analysis I; (3 credits) Grade Method: REG. Prerequisites: MATH240; and MATH241; and CMSC106 or CMSC114 or ENEE114; and permission of department; or CMSC graduate student. Also offered as AMSC466. Credit will be granted for only one of the following: AMSC/CMSC/MAPL460 or AMSC/CMSC/MAPL466. Floating point computations, direct methods for linear systems, interpolation, solution of nonlinear equations. CMSC475 Combinatorics and Graph Theory; (3 credits) Grade Method: REG. Prerequisites: MATH240 and MATH241; and permission of department; or CMSC graduate student. Also offered as MATH475. General enumeration methods, difference equations, generating functions. Elements of graph theory, matrix representations of graphs, applications of graph theory to transport networks, matching theory and graphical algorithms. CMSC498A (PermReq) Selected Topics in Computer Science; (1-3 credits) Grade Method: REG. Individual Instruction course: contact department or instructor to obtain section number. CMSC498K (PermReq) Selected Topics in Computer Science: Algorithms for Analyzing Massive Data Sets and Data Mining; (3 credits) Grade Method: REG. CMSC498P (PermReq) Selected Topics in Computer Science: Industrial Practices Apprenticeship; (1 credit) Grade Method: REG. Co-requisite: CMSC435. CMSC498Q (PermReq) Selected Topics in Computer Science: Advanced Industrial Practices; (1-3 credits) Grade Method: REG. CMSC498V (PermReq) Selected Topics in Computer Science: Parallel Algorithms; (3 credits) Grade Method: REG/P-F/AUD. Also offered as ENEE 459P. Prerequisite: CMSC 351 with a grade of "C" o r higher and permission of department. CMSC498Z (PermReq) Selected Topics in Computer Science: Software Project Management; (3 credits) Grade Method: REG/P-F/AUD. CMSC499A (PermReq) Independent Undergraduate Research; (1-3 credits) Grade Method: REG/P-F/AUD. Individual Instruction course: contact department or instructor to obtain section number. CMSC598 (PermReq) Practical Training; (1 credit) Grade Method: S-F. Individual Instruction course: contact department or instructor to obtain section number. CMSC630 Theory of Programming Languages; (3 credits) Grade Method: REG/AUD. Prerequisite: CMSC 430. Contemporary topics in the theory of programming languages. Formal specification and program correctness. Axiomatic proof systems (both Floyd-Hoare and Dijkstra's predicate transformers), Mills' functional correctness approach, abstract data types (both abstract model and algebraic specifications), and Scott-style denotational semantics based on least fixed points. CMSC661 Scientific Computing II; (3 credits) Grade Method: REG. Prerequisite: AMSC/CMSC/MAPL 460, AMSC/CMSC/MAPL 466, or knowledge of basic numerical analysis (linear equations, nonlinear equations, integration, interpolation) with permission of instructor. Knowledge of C or Fortran. Also offered as AMSC 661. Credit will be granted for only one of the following: AMSC, CMSC 661 or MAPL 661. Fourier and wavelet transform methods, numerical methods for elliptic partial differential equations, numerical linear algebra for sparse matrices, Finite element methods, numerical methods for time dependent partial differential equations. Techniques for scientific computation with an introduction to the theory and software for each topic. Course is part of a two course sequence (660 and 661), but can be taken independently. CMSC664 Advanced Scientific Computing II; (3 credits) Grade Method: REG. Prerequisite: CMSC 663 and permission of instructor. Also offered as AMSC 664. Credit will be granted for only one of the following: AMSC 664, CMSC 664 or MAPL 664. In the sequence CMSC 663, CMSC 664 students work on a year-long individual project to develop software for a scientific task in a high performance computing environment. Lectures will be given on code development and validation, parallel algorithms for partial differential equations, nonlinear systems, optimization. CMSC667 Numerical Analysis II; (3 credits) Grade Method: REG/AUD. Prerequisite: AMSC/CMSC/MAPL 666. Also offered as AMSC 667. Credit will be granted for only one of the following: AMSC 667, CMSC 667 or MAPL 667. Nonlinear systems of equations, ordinary differential equations, boundary value problems. CMSC711 Computer Networks; (3 credits) Grade Method: REG/AUD. Prerequisite: CMSC 412 or equivalent. Priciples, design, and performance evaluation of computer networks. Network architectures including the ISO model and local area networks (LANs). Communication protocols and network topology. CMSC722 Artificial Intelligence Planning; (3 credits) Grade Method: REG/AUD. Prerequisite: CMSC 421 or equivalent; or permission of department. Automated planning of actions to accomplish some desired goals. Basic algorithms, important systems, and new directions in the field of artificial intelligence planning systems. CMSC724 Database Management Systems; (3 credits) Grade Method: REG/AUD. Prerequisite: CMSC 624 or permission of instructor. Theoretical and implementation issues in advanced database systems. Topics include distributed databases, parallel databases, database client-server architectures, multimedia access methods, advanced query optimization techniques, data semantics and models, object-oriented databases, and deductive and expert database systems. CMSC734 Information Visualization; (3 credits) Grade Method: REG/AUD. Prerequisite: CMSC434 or Human-Computer Interaction experience. Formerly CMSC838F. Information visualization defined in relation to graphics, scientific visualization, databases, data mining, and human-computer interaction. Visualizations for dimensional, temporal, hierarchical and network data. Examines design alternatives, algorithms and data structures, coordinated views, and human factors evaluations of efficacy. CMSC737 Fundamentals of Software Testing; (3 credits) Grade Method: REG/AUD. Prerequisite: CMSC435 or equivalent. Formerly CMSC838M. Examine fundamental software testing and related program analysis techniques. In particular, the important phases of testing will be reviewed, emphasizing th significance of each phase when testing different types of software. Concepts include: test generation, oracles, prioritization and coverage, regression and mutation testing, and program analysis. CMSC751 Parallel Algorithms; (3 credits) Grade Method: REG/AUD. Prerequisite: CMSC 451 or equivalent. A presentation of the theory of parallel computers and parallel processing. Models of parallel processing and the relationships between these models. Techniques for the design and analysis of efficient parallel algorithms including parallel prefix, searching, sorting, graph problems, and algebraic problems. Theoretical limits of parallelism, inherently sequential problems, and the theory of P-completeness. CMSC773 Computational Linguistics II; (3 credits) Grade Method: REG/AUD. Prerequisite: CMSC723 or LING723; or permission of instructor. May only receive PhD Comp. credit for CMSC723 or CMSC823, not both. Also offered as LING773. Not open to students who have completed LING647. Formerly CMSC828R. Natural language processing with a focus on corpus-based statistical techniques. Topics inlcude: stochastic language modeling, smoothing, noisy channel models, probabilistic grammars and parsing; lexical acquisition, similarity-based methods, word sense disambiguation, statistical methods in NLP applications; system evaluation. CMSC798 (PermReq) Graduate Seminar in Computer Science; (1-3 credits) Grade Method: REG/AUD. Individual Instruction course: contact department or instructor to obtain section number. CMSC798A (PermReq) Graduate Seminar in Computer Science; (1-3 credits) Grade Method: REG/AUD. Individual Instruction course: contact department or instructor to obtain section number. CMSC majors only. Other majors require permission of department. CMSC799 (PermReq) Master's Thesis Research; (1-6 credits) Grade Method: REG/S-F. Individual Instruction course: contact department or instructor to obtain section number. CMSC818A (PermReq) Advanced Topics in Computer Systems; (1-3 credits) Grade Method: REG/AUD. Individual Instruction course: contact department or instructor to obtain section number. CMSC828A (PermReq) Advanced Topics in Information Processing; (1-3 credits) Grade Method: REG/AUD. Individual Instruction course: contact department or instructor to obtain section number. CMSC828D Advanced Topics in Information Processing: DIGITAL IMAGING PROCESSING; (3 credits) Grade Method: REG/AUD. CMSC828G Advanced Topics in Information Processing: Link Mining; (3 credits) Grade Method: REG/AUD. CMSC828J Advanced Topics in Information Processing: Scene Analysis in Vision and Audition; (3 credits) Grade Method: REG/AUD. Prerequisite: permission of instructor. CMSC828M Advanced Topics in Information Processing: Foundations of Multidimensional & Metric Data Structures; (3 credits) Grade Method: REG/AUD. CMSC828T (PermReq) Advanced Topics in Information Processing: Sentiment Analysis; (3 credits) Grade Method: REG/AUD. CMSC838A (PermReq) Advanced Topics in Programming Languages; (1-3 credits) Grade Method: REG/AUD. Individual Instruction course: contact department or instructor to obtain section number. CMSC838F Advanced Topics in Programming Languages: Language-Based Security; (3 credits) Grade Method: REG/AUD. CMSC838V Advanced Topics in Programming Languages: Creativity Support Tools; (3 credits) Grade Method: REG/AUD. CMSC858A (PermReq) Advanced Topics in Theory of Computing; (1-3 credits) Grade Method: REG/AUD. Individual Instruction course: contact department or instructor to obtain section number. CMSC858P Advanced Topics in Theory of Computing: Algorithms for Biosequence Analysis; (3 credits) Grade Method: REG/AUD. CMSC878A (PermReq) Advanced Topics in Numerical Methods; (1-3 credits) Grade Method: REG/AUD. Individual Instruction course: contact department or instructor to obtain section number. CMSC878R Advanced Topics in Numerical Methods: Fast Multipole Methods: Fundamentals and Applications; (3 credits) Grade Method: REG/AUD. CMSC898 Pre-Candidacy Research; (1-8 credits) Grade Method: REG/S-F. Individual Instruction course: contact department or instructor to obtain section number. CMSC899 (PermReq) Doctoral Dissertation Research; (6 credits) Grade Method: REG/S-F. Individual Instruction course: contact department or instructor to obtain section number.
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