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Courses - Spring 2019
CMSC
Computer Science Department Site
CMSC122
Introduction to Computer Programming via the Web
Credits: 3
Grad Meth: Reg, P-F, Aud
CORE: IE
GenEd: DSSP
Restriction: Must not have completed any courses from CMSC131-499 course range; and must not be concurrently enrolled in CMSC131.
Credit only granted for: CMSC106, CMSC122, or INST126.
Introduction to computer programming in the context of developing full featured dynamic web sites. Uses a problem solving approach to teach basics of program design and implementation using JavaScript; relates these skills to creation of dynamic web sites; then explores both the potential and limits of web-based information sources for use in research. Intended to help relate a student's major to these emerging technologies.
CMSC131
(Perm Req)
Object-Oriented Programming I
Credits: 4
Grad Meth: Reg
Corequisite: MATH140; and permission of CMNS-Computer Science department.
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.
CMSC132
(Perm Req)
Object-Oriented Programming II
Credits: 4
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC131; or must have earned a score of 5 on the A Java AP exam. Or permission of the department based on satisfactory performance on the department placement exam; and minimum grade of C- in MATH140; and permission of CMNS-Computer Science department.
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.
CMSC132A
(Perm Req)
Object-Oriented Programming II
Credits: 4
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC131; or must have earned a score of 5 on the A Java AP exam. Or permission of the department based on satisfactory performance on the department placement exam; and minimum grade of C- in MATH140; and permission of CMNS-Computer Science department.
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.
CMSC216
(Perm Req)
Introduction to Computer Systems
Credits: 4
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC132; and minimum grade of C- in MATH141.
Corequisite: CMSC250.
Credit only granted for: CMSC212, (CMSC213 and CMSC313), or CMSC216.
Machine representation of data including integers and floating point. Modern computer architectural features and their interaction with software (registers, caches). Interaction between user programs and the OS: system class, process, and thread management. Optimizing software to improve runtime performance using both compilers and hand turning.
CMSC216H
(Perm Req)
Introduction to Computer Systems
Credits: 4
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC132; and minimum grade of C- in MATH141.
Corequisite: CMSC250.
Credit only granted for: CMSC212, (CMSC213 and CMSC313), or CMSC216.
Machine representation of data including integers and floating point. Modern computer architectural features and their interaction with software (registers, caches). Interaction between user programs and the OS: system class, process, and thread management. Optimizing software to improve runtime performance using both compilers and hand turning.
CMSC250
(Perm Req)
Discrete Structures
Credits: 4
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC131; and minimum grade of C- in MATH141.
Restriction: Permission of CMNS-Computer Science department.
Formerly: CMSC150.
Fundamental mathematical concepts related to computer science, includin 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.
CMSC250H
(Perm Req)
Discrete Structures
Credits: 4
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC131; and minimum grade of C- in MATH141.
Restriction: Permission of CMNS-Computer Science department.
Formerly: CMSC150.
Fundamental mathematical concepts related to computer science, includin 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: Minimum grade of C- in CMSC131; and minimum grade of C- in MATH141; and permission of CMNS-Computer Science department.
CMSC298A
(Perm Req)
Special Topics in Computer Science
Credits: 1 - 4
Grad Meth: S-F
Contact department for information to register for this course.
CMSC320
(Perm Req)
Introduction to Data Science
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC216 and CMSC250.
Restriction: Permission of CMNS-Computer Science department.
An introduction to the data science pipeline, i.e., the end-to-end process of going from unstructured, messy data to knowledge and actionable insights. Provides a broad overview of several topics including statistical data analysis, basic data mining and machine learning algorithms, large-scale data management, cloud computing, and information visualization.
CMSC330
(Perm Req)
Organization of Programming Languages
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC250 and CMSC216.
Restriction: Must be in a major within the CMNS-Computer Science department; or must be in the Computer Science Minor program; or must be in Engineering: Computer program.
A study of programming languages, including their syntax, semantics, and implementation. Several different models of languages are discussed, including dynamic, scripting (e.g., Ruby, Python) functional (e.g., OCaml, Haskell, Scheme), and memory safe systems programming (e.g., Rust). Explores language features such as formal syntax, scoping and binding of variables, higher-order programming, typing, and type polymorphism. Introduces finite automata, context free grammar, parsing, lambda calculus, and basics of security attacks and software security.
CMSC351
(Perm Req)
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC250 and CMSC216; and permission of CMNS-Computer Science department.
Credit only granted for: CMSC251 or CMSC351.
Additional information: 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.
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.
CMSC351H
(Perm Req)
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC250 and CMSC216; and permission of CMNS-Computer Science department.
Credit only granted for: CMSC251 or CMSC351.
Additional information: 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.
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.
CMSC388D
(Perm Req)
Special Topics in Computer Science; 2D Game Engine Design
Credits: 1
Grad Meth: Reg
Prerequisites: Minimum grade of C- in CMSC250 and CMSC216; and permission of CMNS-Computer Science department.

This course will provide basic insight into the design process of a Java game engine, 2D graphics, and the mathematics behind it. The primary focus of the course will be on 2D game engines but will discuss ideas relevant to 3D environments.
CMSC388E
(Perm Req)
Special Topics in Computer Science; Creative Approaches to Computing: Arts and Tech
Credits: 1
Grad Meth: Reg
Prerequisites: Minimum grade of C- in CMSC250 and CMSC216; and permission of CMNS-Computer Science department.

This class aims to bring the creativity back into computing by teaching basic art and design principles through the medium of coding. By bringing together Processing, a visual arts coding language, and different hallmarks of art theory, we want to teach an innovative class that empowers students to connect with their creative side. Students should come in wih basic coding knowledge but can expect to leave with agreater appreciation for digital media.
CMSC389C
(Perm Req)
Special Topics in Computer Science; Bitcoin and Other Cryptocurrencies
Credits: 1
Grad Meth: Reg
Prerequisites: CMSC216 and CMSC250 with a grade of C- or better; and permission of the Computer Science Department. This course provides a comprehensive, practical introduction to the technology behind cryptocur rency and the economy surrounding it. This course will have a heavy emphasis on Bitcoin, but will dive into other types of cryptocurrency as well, such as Ethereum. This course is primarily intended to focus on the technological aspect of cryptocurrency, but we will also spend time discussing the economics of cryptocurrency.
CMSC389K
(Perm Req)
Special Topics in Computer Science; Full-stack Web Development with Node.js
Credits: 1
Grad Meth: Reg
Prerequisites: Minimum grade of C- in CMSC250 and CMSC216; and permissio n of CMNS-Computer Science department. This course provides a comprehens ive, practical introduction to modern full-stack web development using JavaScript and Node.js. The course will start with basic HTML/CSS/JavScr ipt. Then, we will move into Node.js and learn how to deploy a website from there. We will learn about Express.js (server-side development modu le) and MongoDB (database) in order to create a complete web application .
CMSC389N
(Perm Req)
Special Topics in Computer Science; Introduction to PHP & Javascript
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC250 and CMSC216; and permission of CMNS-Computer Science department.
CMSC389O
(Perm Req)
Special Topics in Computer Science; The Coding Interview
Credits: 1
Grad Meth: Reg
Prerequisites: CMSC216 and CMSC250 with a grade of C- or better; and permission of the Computer Science department. Students will be provided with a comprehensive, practical introduction to technical interviews. Starting with basic topics such as Big O and String Manipulation. We will then move into more complex topics such as Bit Manipulation and Dynamic Programming. Most of the classes will be "In-Class Interviews" and take-home assignments will simulate real interview settings.
CMSC390
(Perm Req)
Credits: 3
Grad Meth: Reg
Restriction: Must be admitted to the Computer Science Honors Program.
Special study or research directed toward preparation of honors paper.
Contact department for information to register for this course.
CMSC396H
(Perm Req)
Computer Science Honors Seminar
Credits: 1
Grad Meth: Reg
Prerequisite: Must have admission into Computer Science Departmental Honors Program.
Restriction: Permission of CMNS-Computer Science department.
Credit only granted for: CMSC297 or CMSC396.
Formerly: CMSC297.
Overview of computer science research activities, techniques, and tools. Diverse research areas will be covered, including systems, networks, artificial intelligence, human-computer interaction, software engineering, graphics, vision, and theory.
CMSC411
(Perm Req)
Computer Systems Architecture
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC330; or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.
Restriction: Permission of CMNS-Computer Science department.
Credit only granted for: ENEE446 or CMSC411.
Input/output processors and techniques. Intra-system communication, buses, caches. Addressing and memory hierarchies. Microprogramming, parallelism, and pipelining.
CMSC412
(Perm Req)
Operating Systems
Credits: 4
Grad Meth: Reg
CORE: CS
Prerequisite: Minimum grade of C- in CMSC330 and CMSC351; and 1 course with a minimum grade of C- from (CMSC414, CMSC417, CMSC420, CMSC430, CMSC433, CMSC435, ENEE440, ENEE457).
Restriction: Permission of CMNS-Computer Science department; or must be in one of the following programs (Computer Science (Master's); Computer Science (Doctoral)).
Credit only granted for: CMSC412 or ENEE447.
A hands-on introduction to operating systems, including topics in: multiprogramming, communication and synchronization, memory management, IO subsystems, and resource scheduling polices. The laboratory component consists of constructing a small kernel, including functions for device IO, multi-tasking, and memory management.
CMSC414
(Perm Req)
Computer and Network Security
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC330 and CMSC351; or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.
Restriction: Permission of CMNS-Computer Science department.
Credit only granted for: CMSC414, ENEE459C, or ENEE457.
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
(Perm Req)
Computer Networks
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC351 and CMSC330; and permission of CMNS-Computer Science department. Or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.
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
(Perm Req)
Data Structures
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC351 and CMSC330; and permission of CMNS-Computer Science department. Or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.
Description, properties, and storage allocation functions of data structures including balanced binary trees, B-Trees, hash tables, skiplists, tries, KD-Trees and Quadtrees. Algorithms for manipulating structures. Applications from areas such as String Processing, Computer Graphics, Information Retrieval, Computer Networks, Computer Vision, and Operating Systems.
CMSC421
(Perm Req)
Introduction to Artificial Intelligence
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC351 and CMSC330; and permission of CMNS-Computer Science department. Or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.
Introduces a range of ideas and methods in AI, varying semester to semester but chosen largely from: automated heuristic search, planning, games, knowledge representation, logical and statistical inference, learning, natural language processing, vision, robotics, cognitive modeling, and intelligent agents. Programming projects will help students obtain a hands-on feel for various topics.
CMSC422
(Perm Req)
Introduction to Machine Learning
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC320, CMSC330, and CMSC351; and 1 course with a minimum grade of C- from (MATH240, MATH461); and permission of CMNS-Computer Science department.
Machine Learning studies representations and algorithms that allow machines to improve their performance on a task from experience. This is a broad overview of existing methods for machine learning and an introduction to adaptive systems in general. Emphasis is given to practical aspects of machine learning and data mining.
Credit only granted for CMSC422 or CMSC498M.
CMSC423
(Perm Req)
Bioinformatic Algorithms, Databases, and Tools
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC351 and CMSC330; and permission of CMNS-Computer Science department. Or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.
An introduction to the main algorithms, databases, and tools used in bioinformatics. Topics may include assembly and analysis of genome sequences, reconstructing evolutionary histories, predicting protein structure, and clustering of biological data. Use of scripting languages to perform analysis tasks on biological data. No prior knowledge of biology is assumed.
CMSC424
(Perm Req)
Database Design
Credits: 3
Grad Meth: Reg
CORE: CS
Prerequisite: Minimum grade of C- in CMSC351 and CMSC330; and permission of CMNS-Computer Science department. Or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.
Students are introduced to database systems and motivates the database approach as a mechanism for modeling the real world. An in-depth coverage of the relational model, logical database design, query languages, and other database concepts including query optimization, concurrency control; transaction management, and log based crash recovery. Distributed and Web database architectures are also discussed.
CMSC425
(Perm Req)
Game Programming
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC420.
An introduction to the principles and practice of computer game programming and design. This includes an introduction to game hardware and systems, the principles of game design, object and terrain modeling, game physics, artificial intelligence for games, networking for games, rendering and animation, and aural rendering. Course topics are reinforced through the design and implementation of a working computer game.
CMSC426
(Perm Req)
Computer Vision
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC330 and CMSC351; or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.
Restriction: Permission of CMNS-Computer Science department.
An introduction to basic concepts and techniques in computervision. This includes low-level operations such as image filtering and edge detection, 3D reconstruction of scenes using stereo and structure from motion, and object detection, recognition and classification.
CMSC433
(Perm Req)
Programming Language Technologies and Paradigms
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC330; or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.
Restriction: Permission of CMNS-Computer Science department.
Programming language technologies (e.g., object-oriented programming), their implementations and use in software design and implementation.
CMSC434
(Perm Req)
Introduction to Human-Computer Interaction
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC330 and CMSC351; and permission of CMNS-Computer Science department. Or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.
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
(Perm Req)
Software Engineering
Credits: 3
Grad Meth: Reg
CORE: CS
Prerequisite: 1 course with a minimum grade of C- from (CMSC412, CMSC417, CMSC420, CMSC430, CMSC433); and permission of CMNS-Computer Science department. Or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.
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.
CMSC436
(Perm Req)
Programming Handheld Systems
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC330 and CMSC351; or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.
Restriction: Permission of CMNS-Computer Science department.
Fundamental principles and concepts that underlie the programming of handheld systems, such as mobile phones, personal digital assistants, and tablet computers. Particular emphasis will be placed on concepts such as limited display size, power, memory and CPU speed; and new input modalities, where handheld systems differ substantially from non-handheld systems, and thus require special programming tools and approaches. Students will apply these concepts and principles in the context of an existing handset programming platform.
Course will be based on the iOS platform. Students must have access to a Macintosh computer to participate in this course.
CMSC451
(Perm Req)
Design and Analysis of Computer Algorithms
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC351; and permission of CMNS-Computer Science department. Or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.
Fundamental techniques for designing efficient computer algorithms, proving their correctness, and analyzing their complexity. General topics include graph algorithms, basic algorithm design paradigms (such as greedy algorithms, divide-and-conquer, and dynamic programming), network flows, NP-completeness, and other selected topics in algorithms.
CMSC452
(Perm Req)
Elementary Theory of Computation
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC351; and permission of CMNS-Computer Science department. Or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.
Techniques are developed to determine the difficulty of a problem relative to a model of computation. Topics include Finite Automata, P, NP, decidability, undecidability, and communication complexity.
CMSC456
(Perm Req)
Credits: 3
Grad Meth: Reg
Prerequisite: (CMSC106, CMSC131, or ENEE150; or equivalent programming experience); and (2 courses from (CMSC330, CMSC351, ENEE324, or ENEE380); or any one of these courses and a 400-level MATH course, or two 400-level MATH courses). Or permission of instructor.
Also offered as: MATH456, ENEE456.
Credit only granted for: MATH456, CMSC456, or ENEE456.
The theory, application, and implementation of mathematical techniques used to secure modern communications. Topics include symmetric and public-key encryption, message integrity, hash functions, block-cipher design and analysis, number theory, and digital signatures.
CMSC457
(Perm Req)
Introduction to Quantum Computing
Credits: 3
Grad Meth: Reg
Prerequisite: 1 course with a minimum grade of C- from (MATH240, PHYS274); and 1 course with a minimum grade of C- from (CMSC351, PHYS373).
Restriction: Permission of CMNS-Computer Science department.
Additional information: No previous background in quantum mechanics is required.
An introduction to the concept of a quantum computer, including algorithms that outperform classical computation and methods for performing quantum computation reliably in the presence of noise. As this is a multidisciplinary subject, the course will cover basic concepts in theoretical computer science and physics in addition to introducing core quantum computing topics.
Also offered as PHYS457. Credit only granted for CMSC457 or PHYS457.
CMSC460
(Perm Req)
Computational Methods
Credits: 3
Grad Meth: Reg
Prerequisite: 1 course with a minimum grade of C- from (MATH240, MATH341, MATH461); and 1 course with a minimum grade of C- from (MATH241, MATH340); and 1 course with a minimum grade of C- from (CMSC106, CMSC131); and minimum grade of C- in MATH246.
Also offered as: AMSC460.
Credit only granted for: AMSC460, AMSC466, CMSC460, or CMSC466.
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
(Perm Req)
Introduction to Numerical Analysis I
Credits: 3
Grad Meth: Reg
Prerequisite: 1 course with a minimum grade of C- from (MATH240, MATH341, MATH461); and 1 course with a minimum grade of C- from (MATH241, MATH340); and 1 course with a minimum grade of C- from (CMSC106, CMSC131); and minimum grade of C- in MATH410.
Also offered as: AMSC466.
Credit only granted for: AMSC460, AMSC466, CMSC460, or CMSC466.
Floating point computations, direct methods for linear systems, interpolation, solution of nonlinear equations.
CMSC470
(Perm Req)
Introduction to Natural Language Processing
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC320, CMSC330, and CMSC351; and 1 course with a minimum grade of C- from (MATH240, MATH461).
Restriction: Permission of CMNS-Computer Science department.
Introduction to fundamental techniques for automatically processing and generating natural language with computers. Machine learning techniques, models, and algorithms that enable computers to deal with the ambiguity and implicit structure of natural language. Application of these techniques in a series of assignments designed to address a core application such as question answering or machine translation.
CMSC474
(Perm Req)
Introduction to Computational Game Theory
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC351 and CMSC330; and permission of CMNS-Computer Science department. Or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.
Credit only granted for: CMSC474, ECON414, GVPT390 or GVPT399A.
Game theory deals with interactions among agents (either human or computerized) whose objectives and preferences may differ from the objectives and preferences of the other agents. It will also provide a comprehensive introduction to game theory, concentrating on its computational aspects.
CMSC475
(Perm Req)
Combinatorics and Graph Theory
Credits: 3
Grad Meth: Reg
Prerequisite: MATH240 and MATH241; and permission of CMNS-Computer Science department. Or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.
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
(Perm Req)
Selected Topics in Computer Science
Credits: 1 - 3
Grad Meth: Reg
Contact department for information to register for this course.
CMSC498L
(Perm Req)
Selected Topics in Computer Science; Introduction to Deep Learning
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC330 and CMSC351; and 1 course with a minimum grade of C- from (MATH240, MATH461); and permission of CMNS-Computer Science department. Or must be in (Computer Science (Doctoral), ComputerScience (Master's) program.
CMSC498O
(Perm Req)
Selected Topics in Computer Science; Introduction to Data Visualization
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum gra de of C- in CMSC330 and CMSC351; and permission of CMNS-Computer Science department. Or must be in Computer Science (Doctoral), Computer Scienc e (Master's) program.
CMSC499A
(Perm Req)
Independent Undergraduate Research
Credits: 1 - 3
Grad Meth: Reg
Contact department for information to register for this course.
CMSC631
Program Analysis and Understanding
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: CMSC330; or students who have taken courses with comparable content may contact the department; or permission of instructor.
Techniques for static analysis of source code and modern programming paradigms. Analysis techniques: data flow analysis, program dependence graphs, program slicing, abstract interpretation. The meaning of programs: denotational semantics, partial evaluation. Advanced treatment of abstraction mechanisms: polymorphic types, operation overloading, inheritance, object-oriented programming and ML-like programming languages.
CMSC642
Big Data Systems
Credits: 3
Grad Meth: Reg
Restriction: Must be in the Data Science Post-Baccalaureate Certificate of Professional Studies program; and permission of CMNS-Computer Science department.
An overview of data management systems for performing data science on large volumes of data, including relational databases, and NoSQL systems. The topics covered include: different types of data management systems, their pros and cons, how and when to use those systems, and best practices for data modeling.
CMSC644
(Perm Req)
Algorithms for Data Science
Credits: 3
Grad Meth: Reg
Restriction: Must be in the Data Science Post-Baccalaureate Certificate of Professional Studies program; and permission of CMNS-Computer Science department.
Provides an in-depth understanding of some of the key data structures and algorithms essential for advanced data science. Topics include random sampling, graph algorithms, network science, data streams, and optimization.
CMSC661
Scientific Computing II
Credits: 3
Grad Meth: Reg
Prerequisite: Must have knowledge of C or Fortran. And CMSC466, AMSC466, AMSC460, or CMSC460; or (must have knowledge of basic numerical analysis (linear equations, nonlinear equations, integration, interpolation); and permission of instructor).
Also offered as: AMSC661.
Credit only granted for: AMSC661 or CMSC661.
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
(Perm Req)
Advanced Scientific Computing II
Credits: 3
Grad Meth: Reg
Prerequisite: CMSC663.
Restriction: Permission of instructor.
Also offered as: AMSC664.
Credit only granted for: AMSC664, or CMSC664.
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.
CMSC701
Computational Genomics
Credits: 3
Grad Meth: Reg, Aud
An introduction to the algorithms and heuristics used in the analysis o biological sequences. Includes an introduction to string matching and alignment algorithms, phylogenetic analysis, string reconstruction (genome assembly), and sequence pattern recognition (gene and motif finding). A particular emphasis will be placed on the design of efficient algorithms and on techniques for analyzing the time and space complexity of these algorithms. Computational concepts will be presented in the context of current biological applications. No prior knowledge of biology necessary.
CMSC712
Distributed Algorithms and Verification
Credits: 3
Grad Meth: Reg, Aud
Study of algorithms from the distributed and concurrent systems literature. Formal approach to specifying, verifying, and deriving such algorithms. Areas selected from mutual exclusion, resource allocation, quiescence detection, election, Byzantine agreements, routing, network protocols, and fault-tolerence. Formal approaches will handle system specification and verification of safety, liveness, and real-time properties.
CMSC722
Artificial Intelligence Planning
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: CMSC421; or students who have taken courses with comparable content may contact the department; or permission of CMNS-Computer Science 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.
CMSC733
Computer Processing of Pictorial Information
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: CMSC420.
Input, output, and storage of pictorial information. Pictures as information sources, efficient encoding, sampling, quantization, approximation. Position-invariant operations on pictures, digital and optical implementations, the pax language, applications to matched and spatial frequency filtering. Picture quality, image enhancement and image restoration. Picture properties and pictorial pattern recognition. Processing of complex pictures; figure extraction, properties of figures. Data structures for pictures description and manipulation; picture languages. Graphics systems for alphanumeric and other symbols, line drawings of two- and three-dimensional objects, cartoons and movies.
CMSC740
(Perm Req)
Advanced Computer Graphics
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: MATH240 and CMSC420; or permission of instructor.
An introduction to the principles of computer graphics. Includes an introduction to graphics displays and systems, introduction to the mathematics of affine and projective transformations, perspective, curve and surface modeling, algorithms for hidden-surface removal, color models, methods for modeling illumination, shading, and reflection.
CMSC764
Advanced Numerical Optimization
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: MATH410; or permission of instructor.
Also offered as: AMSC607.
Credit only granted for: AMSC607 or CMSC764.
Formerly: CMSC878O.
Modern numerical methods for solving uncontrained and constrained nonlinear optimization problems in finite dimensions. Design of computational algorithms and the analysis of their properties.
CMSC798
(Perm Req)
Graduate Seminar in Computer Science
Credits: 1 - 3
Grad Meth: Reg
Contact department for information to register for this course.
CMSC798F
Graduate Seminar in Computer Science; How to Conduct Great Research
Credits: 1
Grad Meth: Reg, Aud
CMSC799
(Perm Req)
Master's Thesis Research
Credits: 1 - 6
Grad Meth: Reg, S-F
Contact department for information to register for this course.
CMSC818N
(Perm Req)
Advanced Topics in Computer Systems; Robotics
Credits: 3
Grad Meth: Reg, Aud
CMSC818W
Advanced Topics in Computer Systems; Wireless and Mobile Systems for the IoT
Credits: 3
Grad Meth: Reg, Aud
CMSC818X
Advanced Topics in Computer Systems; Special Topics in Operating Systems
Credits: 3
Grad Meth: Reg, Aud
CMSC818Y
Advanced Topics in Computer Systems; Fault Tolerant Distributed Systems
Credits: 3
Grad Meth: Reg, Aud
CMSC828F
Advanced Topics in Information Processing; Computational Psycholinguistics
Credits: 3
Grad Meth: Reg, Aud
Also offered as LING849C and NACS728W. Credit granted for CMSC828F, LING849C or NACS728W.
CMSC828U
(Perm Req)
Advanced Topics in Information Processing; Algorithms in Machine Learning: Guarantees and Analyses
Credits: 3
Grad Meth: Reg, Aud
CMSC828X
Advanced Topics in Information Processing; Algorithms for Probabilistic and Deterministic Graphical Models
Credits: 3
Grad Meth: Reg, Aud
CMSC838J
Advanced Topics in Programming Languages; Interactive Technologies
Credits: 3
Grad Meth: Reg, Aud
CMSC858M
Advanced Topics in Theory of Computing; Algorithmic Lower Bounds: Fun with Hardness Proofs
Credits: 3
Grad Meth: Reg, Aud
CMSC898
Pre-Candidacy Research
Credits: 1 - 8
Grad Meth: Reg, S-F
Contact department for information to register for this course.
CMSC899
(Perm Req)
Doctoral Dissertation Research
Credits: 6
Grad Meth: Reg, S-F
Contact department for information to register for this course.