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Courses - Fall 2022
CMSC
Computer Science Department Site
CMSC100
Bits and Bytes of Computer and Information Sciences
Credits: 1
Grad Meth: Reg
Restriction: For first time freshmen and first time transfer students.
Cross-listed with: INST101.
Credit only granted for: CMSC100 or INST101.
Students are introduced to the fields (and disciplines) of computer science and information science within a small classroom setting. They will learn to make a successful transition from high school to the university, while exploring study skills, student success plans and research opportunities.
CMSC106
Introduction to C Programming
Credits: 4
Grad Meth: Reg
Prerequisite: MATH115.
Restriction: Must not be in Computer Science program; and must not have completed any courses from CMSC131-499 course range.
Credit only granted for: CMSC106 or CMSC122.
Design and analysis of programs in C. An introduction to computing using structured programming concepts. Intended for students with no or minimal programming experience.
CMSC122
Introduction to Computer Programming via the Web
Credits: 3
Grad Meth: Reg
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, or CMSC122.
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.
CMSC125
Introduction to Computing
Credits: 3
Grad Meth: Reg
Prerequisite: Must have completed or be concurrently enrolled in MATH115 or higher.
Restriction: Must not be in the Computer Science program; and must not have completed any courses from CMSC131-499; and must not have completed BMGT302, IMDM127 or INST126.
Introduces you to the computing field as a whole. You will gain skills used across the spectrum of computing majors and learn about the great variety of routes into the various areas of study and employment in technological fields.
CMSC131
Object-Oriented Programming I
Credits: 4
Grad Meth: Reg
Corequisite: MATH140.
Credit only granted for: CMSC131, CMSC133, or IMDM127.
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
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 must have earned a satisfactory score on the departmental placement exam. And minimum grade of C- in MATH140.
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.
CMSC133
(Perm Req)
Object Oriented Programming I Beyond Fundamentals
Credits: 2
Grad Meth: Reg
Prerequisite: Must have completed or be concurrently enrolled in MATH140.
Restriction: Permission of CMNS-Computer Science department; and student must have earned a 4 on the AP Computer Science A exam or a satisfactory score on the CMSC131 department placement exam.
Credit only granted for: CMSC131, CMSC133, or IMDM127.
An introduction to computer science and object-oriented programming for students with prior Java programming knowledge (conditionals, loops, methods). Program design, implementation, and testing using object-oriented techniques. All programming will be done in Java using a graphical IDE.
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.
Restriction: Must be in a major within the CMNS-Computer Science department; or must be in Engineering: Computer program; or must be in the Computer Science Minor program; and Permission of CMSC - Computer Science department.
Introduction to the interaction between user programs and the operating system/hardware. Major topics include C programming, introductory systems programming, and assembly language. Other concepts covered include UNIX, machine data representation, thread management, optimization, and virtual memory. Programming is done in the Linux Environment.
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: Must be in a major within the CMNS-Computer Science department; or must be in Engineering: Computer program; or must be in the Computer Science Minor program; and Permissions of CMSC - Computer Science department.
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.
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.
Credit only granted for: STAT426 or CMSC320.
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; and Permission of CMSC - Computer Science department.
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.
CMSC335
(Perm Req)
Web Application Development with JavaScript
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC216 and CMSC250.
Restriction: Permission of CMNS-Computer Science Department.
Credit only granted for: CMSC389N or CMSC335.
Formerly: CMSC389N.
Provides an introduction to modern ways of developing Web Applications/Services using JavaScript for both front-end and back-end. The course covers topics on fundamental JavaScript language constructs, server-side JavaScript, back-end data persistence, and client-side JavaScript to build Web Applications that interact with Web services and back-end databases.
CMSC351
(Perm Req)
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 Engineering: Computer program; or must be in the Computer Science Minor program; and Permission from the CMSC - Computer Science department.
Credit only granted for: CMSC251 or CMSC351.
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.
Restriction: Must be in a major within the CMNS-Computer Science department; or must be in Engineering: Computer program; or must be in the Computer Science Minor program; and Permission from the CMSC - Computer Science department.
Credit only granted for: CMSC251 or CMSC351.
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.
CMSC388J
(Perm Req)
Special Topics in Computer Science; Building Secure Web Applications with Python and Flask
Credits: 1
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC216 and CMSC250; and permission of CMNS-Computer Science department.

A student-led course through Student-Initiated Courses (STICs) @ UMD: http://stics.umd.edu/ Please click here for more information.
CMSC388U
(Perm Req)
Special Topics in Computer Science; Introduction to Ethical Hacking (Hack the Class)
Credits: 1
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC216 and CMSC250; and permission of CMNS-Computer Science department.

A student-led course through Student-Initiated Courses (STICs) @ UMD: http://stics.umd.edu/ Please click here for more information.
CMSC389G
(Perm Req)
Special Topics in Computer Science; What to do After Landing a SWE Job
Credits: 1
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC216 and CMSC250; and permission of CMNS-Computer Science department.

A student-led course through Student-Initiated Courses (STICs) @ UMD: http://stics.umd.edu/ Please click here for more information.
CMSC389O
(Perm Req)
Special Topics in Computer Science; The Coding Interview
Credits: 1
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC216 and CMSC250; and permission of CMNS-Computer Science department.

A student-led course through Student-Initiated Courses (STICs) @ UMD: http://stics.umd.edu/ Please click here for more information.
CMSC389P
(Perm Req)
Special Topics in Computer Science; Mastering the PM Interview
Credits: 1
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC216 and CMSC250; and permission of CMNS-Computer Science department.

A student-led course through Student-Initiated Courses (STICs) @ UMD: http://stics.umd.edu/ Please click here for more information.
CMSC389T
(Perm Req)
Special Topics in Computer Science; Introduction to Git, Github and Project Management
Credits: 1
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC216 and CMSC250; and permission of CMNS-Computer Science department.

A student-led course through Student-Initiated Courses (STICs) @ UMD: http://stics.umd.edu/ Please click here for more information.
CMSC395
(Perm Req)
Teaching Techniques for Computer Science
Credits: 1
Grad Meth: Reg, P-F, Aud
Restriction: Students must be hired as a teaching assistant in the Computer Science Department for the semester they are registered for the course; and permission of the Computer Science Department.
This course will assure that teaching assistants become better skilled at applying effective teaching practices that improve the classroom environment while learning methods to implement mechanisms to improve diversity and inclusion. Legal and ethical aspects of the role will also be considered. Students in the class will be currently working as a teaching assistant and, therefore, be able to apply what they are learning immediately in their own context.
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.
CMSC398D
(Perm Req)
Special Topics in Computer Science; Introduction to Artificial Intelligence in Healthcare
Credits: 1
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC216 and CMSC250; and permission of CMNS-Computer Science department.

A student-led course through Student-Initiated Courses (STICs) @ UMD: http://stics.umd.edu/ Please click here for more information.
CMSC398E
(Perm Req)
Special Topics in Computer Science; Essential Data Science Skill & Techniques
Credits: 1
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC216 and CMSC250; and permission of CNMS-Computer Science department.

A student-led course through Student-Initiated Courses (STICs) @ UMD: http://stics.umd.edu/ Please click here for more information.
CMSC398F
(Perm Req)
Special Topics in Computer Science; Introduction to Blockchain and Cryptocurrency
Credits: 1
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC216 and CMSC250; and permission of CMNS-Computer Science department.

A student-led course through Student-Initiated Courses (STICs) @ UMD: http://stics.umd.edu/ Please click here for more information.
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)
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.
CMSC416
(Perm Req)
Introduction to Parallel Computing
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC330 and CMSC351; or permission of instructor.
Restriction: Permission of CMNS-Computer Science department.
Credit only granted for: CMSC416 or CMSC498X.
Formerly: CMSC498X.
Introduction to parallel computing. Topics include programming for shared memory and distributed memory parallel architectures, and fundamental issues in design, development, and performance analysis of parallel programs.
CMSC417
(Perm Req)
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)
Advanced 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, MATH341, 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.
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)
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)
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC330 and CMSC351.
Restriction: Permission of CMNS-Computer Science department.
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)
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, MATH341, MATH461); or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program; or permission of the instructor.
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.
CMSC427
(Perm Req)
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC330 and CMSC351; 1 course with a minimum grade of C- from (MATH240, MATH341, MATH461).
Restriction: Permission of CMNS-Computer Science department.
An introduction to 3D computer graphics, focusing on the underlying building blocks and algorithms for applications such as 3D computer games, and augmented and virtual reality (AR/VR). Covers the basics of 3D image generation and 3D modeling, with an emphasis on interactive applications. Discusses the representation of 3D geometry, 3D transformations, projections, rasterization, basics of color spaces, texturing and lighting models, as well as programming of modern Graphics Processing Units (GPUs). Includes programming projects where students build their own 3D rendering engine step-by-step.
CMSC430
(Perm Req)
Introduction to Compilers
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.
Topics include lexical analysis, parsing, intermediate representations, program analysis, optimization, and code generation.
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, ENEE447); and permission of CMNS-Computer Science department.
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.
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.
CMSC454
(Perm Req)
Algorithms for Data Science
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC330 and CMSC351.
Restriction: Permission of CMSC-Computer Science department.
Credit only granted for: CMSC454 or CMSC498U.
Formerly: CMSC498U.
Fundamental methods for processing a high volume of data. Methods include stream processing, locally sensitive hashing, web search methods, page rank computation, network and link analysis, dynamic graph algorithms as well as methods to handle high dimensional data/dimensionality reduction.
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); and Permission of CMNS-Mathematics department or permission of instructor .
Cross-listed with: 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.
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.
Cross-listed with: 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.
Cross-listed with: AMSC466.
Credit only granted for: AMSC460, CMSC460, AMSC466, 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, MATH341, 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.
CMSC473
(Perm Req)
Capstone in Machine Learning
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- or higher in CMSC421 or CMSC422.
Recommended: Background or exposure to machine learning topics is strongly encouraged.
Restriction: Permission of instructor and Permission of CMSC - Computer Science department.
Credit only granted for: CMSC498P or CMSC473.
Formerly: CMSC498P.
Additional information: Students will be paired with project advisors from the UMD faculty or alternatively, an industry advisor. Students are encouraged to plan for projects results that can be published at academic conferences or will impact academic research.
Semester-long project course in which each student will identify and carry out a project related to machine learning, with the goal of publishing a research paper or software tool.
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: 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 permission of CMNS-Computer Science department; or permission of CMNS-Mathematics department.
Cross-listed with 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.
Credit only granted for MATH475 or CMSC475.
CMSC488A
(Perm Req)
Special Topics in Computer Science; Quantum Boot Camp
Credits: 1
Grad Meth: Reg
Prerequisites: MATH141 and either MATH240 or PHYS274; or equivalent course work. Also offered as ENEE489F, PHYS499F, and CHPH499F. Credit only granted for PHYS499F, ENEE489F, CMSC488A, or CHPH499F.

Designed for computer science, engineering and mathematics majors. Introduces basic concepts and techniques widely used in quantum information science.
CMSC498A
(Perm Req)
Selected Topics in Computer Science
Credits: 1 - 3
Grad Meth: Reg
Contact department for information to register for this course.
CMSC498I
(Perm Req)
Selected Topics in Computer Science; Real World Computer Security
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC330 and CMSC351.

This class will focus on applied cryptography and cryptocurrency in the context of real world security and privacy issues. It will cover secure messaging and deniability, anti abuse protocols, attacks on deployed cryptographic protocols, the basics of blockchains, privacy preserving payments, and smart contracts/defi.
CMSC499A
(Perm Req)
Independent Undergraduate Research
Credits: 1 - 3
Grad Meth: Reg
Contact department for information to register for this course.
CMSC614
Computer and Network Security
Credits: 3
Grad Meth: Reg, Aud
Recommended: Knowledge of C programming.
Restriction: Must be in the Computer Science Master's or Doctoral programs.
Credit only granted for: CMSC818O or CMSC614.
Formerly: CMSC818O.
Advanced topics in computer and network security, including: anonymity, privacy, memory safety, malware, denial of service attacks, trusted hardware, security design principles, and empirically measuring security "in the wild". This will be a largely paper-driven course (there is no textbook), preparing students for research in (or around) the broad area of security. Students will gain first-hand experience launching attacks in controlled environments. The bulk of the grade will be based on a final, semester-long group project.
CMSC630
Foundations of Software Verification
Credits: 3
Grad Meth: Reg, Aud, S-F
Prerequisite: CMSC330; or students who have taken courses with comparable content may contact the department; or permission of instructor.
Topics in program verification. Operational semantics of programs. Preconditions and postconditions. Axiomatic proof systems and predicate transformers. Temporal logic and model checking. Process algebra, semantic equivalences and algebraic reasoning.
CMSC631
Program Analysis and Understanding
Credits: 3
Grad Meth: Reg, Aud, S-F
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.
CMSC657
Introduction to Quantum Information Processing
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: Familiarity with complex numbers and basic concepts in linear algebra (e.g., eigenvalues, eigenvectors, Hermitian and unitary matrices) is required.
Credit only granted for: CMSC657 or CMSC858K.
Formerly: CMSC858K.
Additional information: Previous background in quantum mechanics or theory of computation is not required.
An introduction to the field of quantum information processing. Students will be prepared to pursue further study in quantum computing, quantum information theory, and related areas.
CMSC660
Scientific Computing I
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: Must have suitable programming experience, such as in Matlab, Python, C or Fortran.
Cross-listed with: AMSC660.
Credit only granted for: AMSC660 or CMSC660.
Monte Carlo simulation, numerical linear algebra, nonlinear systems and continuation method, optimization, ordinary differential equations. Fundamental techniques in scientific computation with an introduction to the theory and software for each topic.
CMSC663
(Perm Req)
Advanced Scientific Computing I
Credits: 3
Grad Meth: Reg
Prerequisite: AMSC660 or CMSC660; and (AMSC661 or CMSC661).
Restriction: Permission of instructor.
Cross-listed with: AMSC663.
Credit only granted for: AMSC663 or CMSC663.
In the sequence Advanced Scientific Computing I & Advanced Scientific Computing II, (CMSC663/CMSC663 and AMSC664/CMSC664, respectively) 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 available computational environments, code development, implementation of parallel algorithms.
CMSC666
Numerical Analysis I
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: CMSC466 or AMSC466; and MATH410.
Cross-listed with: AMSC666.
Credit only granted for: AMSC666 or CMSC666.
Approximation theory, numerical solution of initial-value problems, iterative methods for linear systems, optimization.
CMSC673
Capstone in Machine Learning
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: Minimum grade of C-in CMSC421 or CMSC422.
Jointly offered with: CMSC473.
Credit only granted for: CMSC673, CMSC798P, CMSC473, or CMSC498P.
Formerly: CMSC798P.
Semester-long project course in which each student will identify and carry out a project related to machine learning, with the goal of publishing a research paper or software tool.
CMSC714
High Performance Computing Systems
Credits: 3
Grad Meth: Reg, Aud, S-F
Prerequisite: CMSC411 and CMSC412; or permission of instructor.
Slected topics in high-performance systems, including contemporary architectures, interconnection topologies, shared memory and message-passing systems, multi-threaded kernels, latency avoidance and hiding techniques, methods for data and workload partitioning performance profiling, debugging.
CMSC715
Wireless and Mobile Systems for the IoT
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: CMSC417.
Recommended: STAT100, MATH141, MATH240, and CMSC106; or equivalent courses.
Credit only granted for: CMSC818W or CMSC715.
Formerly: CMSC818W.
Research on the Internet of Things (IoT), from the perspective of wireless networking and mobile sensing. Various techniques, algorithms, and systems that leverage the sensors in smartphones, smartwatches, drones, and IoT devices, to deliver real-world applications
CMSC723
Natural Language Processing
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: Minimum grade of C- in CMSC422; and permission of CMNS-Computer Science department.
Cross-listed with: INST735, LING723.
Credit only granted for: CMSC723, LING723, or INST735.
Additional information: CMSC students may only receive PhD Comp. credit for CMSC723 or CMSC823, not both.
Introduce fundamental concepts, techniques, and algorithms for the computational handling of natural language. Statistical and machine learning techniques, models, and algorithms that enable computers to deal with the ambiguity and implicit structure of human language. Approaches that focus on uncovering linguistic structure, such as syntactic or semantic parsing, as well as those that focus on manipulating text in useful ways, such as question answering or machine translation.
CMSC730
(Perm Req)
Interactive Technologies in Human-Computer Interaction
Credits: 3
Grad Meth: Reg, Aud
Restriction: Must be in the Computer Science Master's or Doctoral program; or permission of instructor.
Credit only granted for: CMSC838J or CMSC730.
Formerly: CMSC838J.
Ubiquitous and mobile computing, wearables, virtual/augmented reality, natural user interfaces, tangible UIs, interactive fabrication.
CMSC733
Computer Processing of Pictorial Information
Credits: 3
Grad Meth: Reg, Aud, S-F
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.
CMSC734
Information Visualization
Credits: 3
Grad Meth: Reg, Aud, S-F
Prerequisite: CMSC434; or students who have taken courses with comparable content may contact the department; or permission of instructor.
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.
CMSC740
Advanced Computer Graphics
Credits: 3
Grad Meth: Reg, Aud, S-F
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.
CMSC751
Parallel Algorithms
Credits: 3
Grad Meth: Reg, Aud, S-F
Prerequisite: CMSC451; or ENEE641; or students who have taken courses with comparable content may contact the department.
Cross-listed with: ENEE651.
Credit only granted for: ENEE459P, ENEE651, ENEE759K or CMSC751.
Formerly: ENEE759K.
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.
CMSC756
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: CMSC420, CMSC106, CMSC466, and MATH240; or equivalent.
Restriction: Must be in the Computer Science Master's or Doctoral programs.
Credit only granted for: CMSC818N or CMSC756.
Formerly: CMSC818N.
Overview on fundamental components of robotic systems, including the sensing and actuation, control and modeling of motion and perception, dynamics and kinematics, motion planning and manipulation of robots.
Cross-listed with ENEE769M. Credit only granted for CMSC756 or ENEE769M.
CMSC798
(Perm Req)
Master's Non-Thesis Research
Credits: 1 - 3
Grad Meth: Reg
Contact department for information to register for this course.
CMSC799
(Perm Req)
Master's Thesis Research
Credits: 1 - 6
Grad Meth: S-F
Contact department for information to register for this course.
CMSC801
Department Internal Research Seminar
Credits: 1
Grad Meth: S-F
Credit only granted for: CMSC798E or CMSC801.
Formerly: CMSC798E.
Research overviews from faculty to help introduce departmental research to graduate students.
CMSC818X
Advanced Topics in Computer Systems; Introduction to Parallel Computing
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: CMSC411 and CMSC412 or permission of instructor. Restricted to CMSC and AMSC students (MS or PhD).

Introduction to parallel computing for computer science majors. Topics include programming for shared memory and distributed memory parallel architectures, and fundamental issues in design, development and analysis of parallel programs.
CMSC828C
Advanced Topics in Information Processing; Statistical Pattern Recognition
Credits: 3
Grad Meth: Reg, Aud
CMSC828F
Advanced Topics in Information Processing; Computational Psycholinguistics
Credits: 3
Grad Meth: Reg, Aud
Cross-listed with NACS728W and LING849C. Credit only granted for LING849C, NACS728W, or CMSC828F.

Explores how ideas from machine learning and computational linguistics can be used to formalize questions about human language. The focus will be on modeling the acquisition, processing, and evolution of language. Covers several popular modeling approaches that have been applied to problems in psycholinguistics.
CMSC828J
Advanced Topics in Information Processing; Common-sense Reasoning and Natural Language Understanding
Credits: 3
Grad Meth: Reg, Aud
CMSC828V
Advanced Topics in Information Processing; Numerical Methods for Data Science and Machine Learning
Credits: 1 - 3
Grad Meth: Reg, Aud
CMSC828W
Advanced Topics in Information Processing; Foundations of Deep Learning
Credits: 3
Grad Meth: Reg, Aud
Restricted to Master's/Doctoral students in Computer Science, Electrical and Computer Engineering, Mathematics, or permission of instructor.

In this course, we are going to explore empirically-relevant theoretical foundations of deep learning (DL). We will cover topics including DL optimization, DL generaliation, Neural Tangent Kernels, Deep Generative Models, DL Robustness, DL Interpretability, Domain Adaptation and Generalization, Self-Supervised Learning and Deep Reinforcement Learning.
CMSC828X
Advanced Topics in Information Processing; Learning-based modeling, Simulation and Animation
Credits: 3
Grad Meth: Reg, Aud
CMSC828Y
Advanced Topics in Information Processing; Unsupervised Learning
Credits: 3
Grad Meth: Reg, Aud
CMSC829A
Advanced Topics in Bioinformatics and Computational Biology; Algorithmic Evolutionary Biology
Credits: 3
Grad Meth: Reg, Aud
CMSC838K
Advanced Topics in Programming Languages; Behavior Change and Affective Computing
Credits: 3
Grad Meth: Reg, Aud
CMSC838X
Advanced Topics in Programming Languages; Personal Health Informatics & Visualization
Credits: 3
Grad Meth: Reg, Aud
Jointly offered with INST682. Credit only granted for INST682 or CMSC838 X.
CMSC848B
Selected Topics in Information Processing; Computational Imaging
Credits: 3
Grad Meth: Reg, Aud
Cross-listed with ENEE739Z. Credit only granted for CMSC848B or ENEE739Z.

Restriction: Must be in the Computer Science Master's or Doctoral programs, or permission of instructor.
CMSC848C
Selected Topics in Information Processing; Human-AI Interaction
Credits: 3
Grad Meth: Reg, Aud
CMSC858F
Advanced Topics in Theory of Computing; Algorithmic Lower Bounds: Fun with Hardness Proofs
Credits: 3
Grad Meth: Reg, Aud
CMSC858O
Advanced Topics in Theory of Computing; The Foundation of End-to-End Quantum Applications
Credits: 3
Grad Meth: Reg, Aud, S-F
CMSC898
Pre-Candidacy Research
Credits: 1 - 8
Grad Meth: Reg
Contact department for information to register for this course.
CMSC899
(Perm Req)
Doctoral Dissertation Research
Credits: 6
Grad Meth: S-F
Contact department for information to register for this course.