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Computer science professors balance teaching students the fundamentals of the discipline while at the same time staying on top of a rapidly changing field where the lessons could change day by day and certainly semester by semester. A number of innovative courses have sprung from this challenge including an advanced architecture course that was organized around case studies on processor design. A recent operating systems class put students in groups to install and modify the Linux operating system on Apple’s iPod music player. Students taking a recent data mining course completed final projects that ranged from predicting the calls a football coach would make to improving the prediction algorithm Netflix uses to suggest new movies to customers.

Strong computer science courses emphasize the fundamentals of computing and at the same time, incorporate hands-on work at all levels to illustrate and reinforce the principles in realistic contexts. To this end, most computer science courses contain a lab component. A lab for an introductory course might be a closed laboratory experience with highly structured exercises while a lab for a more advanced course might utilize extended seminar-style meetings or problem-solving sessions. In addition to giving students the chance to practice what they’re learning in the classroom, labs can also help faculty and students develop close working relationships that may ultimately lead to independent research opportunities.

In addition to the listing of courses below, a two-year rotation of computer science courses is available. 

If you wish to transfer credits from a computer science course taken at another college or university, consult the transfer approval guidelines.

First-year students are encouraged to investigate the University's new integrated quantitative (IQ) science course, a year-long class team taught by 10 professors that combines material from the introductory courses in biology, chemistry, physics, mathematics, and computer science.

Courses
CMSC 101 Minds and Machines
Units: 1
Fulfills General Education Requirement (FSSR)
Description
Formal deduction in propositional logic. The fundamentals of computer architecture. An elementary exploration of the extent to which symbolic reasoning can be automated, including a consideration of related results in fields such as neuroscience and artificial intelligence. Three lecture hours and one laboratory hour per week.

CMSC 105 Elementary Programming with Lab
Units: 1
Fulfills General Education Requirement (FSSR)
Description
Solving problems by writing computer programs. Introduction to computer architecture. Emphasis on symbolic reasoning using examples from a particular computing context. For non-majors. Not open to students who have completed any computer science course that fulfills major requirements. Three lecture hours and one laboratory hour per week.

CMSC 150 Introduction to Computing
Units: 1
Fulfills General Education Requirement (FSSR)
Description
Techniques for writing computer programs to solve problems. Topics include elementary computer organization, object-oriented programming, control structures, arrays, methods and parameter passing, recursion, searching, sorting, and file I/O. Three lecture hours and two laboratory hours per week. A student may not receive credit for both CMSC 150 and CMSC 155. Students who have received credit for courses numbered CMSC 221 or higher may not take CMSC 150 for credit. Note: Knowledge of the topics of CMSC 150, CMSC 155, or MATH 190 (IQS) is a prerequisite to all higher numbered Computer Science courses.

CMSC 155 Introduction to Scientific Computing
Units: 1
Fulfills General Education Requirement (FSSR)
Description
Same course as CMSC 150 but with greater emphasis on programming applications in the sciences. A student may not receive credit for both CMSC 150 and CMSC 155. Students who have received credit for courses numbered CMSC 221 or higher may not take CMSC 155 for credit. Note: Knowledge of the topics of CMSC 150, CMSC 155, or MATH 190 (IQS) is a prerequisite to all higher numbered Computer Science courses.
Prerequisites
MATH 211

CMSC 195 Special Topics
Units: .25-1
Description
Special topics satisfying neither major nor minor requirements.

CMSC 221 Data Structures with Lab
Units: 1
Fulfills General Education Requirement (FSSR)
Description
Introduction to data structures, including stacks, queues, linked lists, and binary trees. Topics include abstraction, object-oriented programming, recursion, and computational complexity. Three lecture hours and two laboratory hours per week.
Prerequisites
CMSC 150 or CMSC 155 or MATH 190.

CMSC 222 Discrete Structures for Computing with Lab
Units: 1
Description
Sets, functions, elementary propositional and predicate logic, elementary graph theory, recurrence relations, proof techniques (including mathematical induction and proof by contradiction), combinatorics, probability, and random numbers, with applications to computing. Three hours lecture and one hour lab per week.
Prerequisites
CMSC 150 or 155 or MATH 190.

CMSC 240 Software Systems Development
Units: .5
Description
Introduction to techniques necessary for development of large-scale software systems, including design of software systems, adapting to legacy code, testing, debugging, and group work. Introduction to the C++ programming language, including pointers, dynamic memory allocation, and the C++ Standard Template Library (STL). One and one-half lecture hours and one laboratory hour per week.
Prerequisites
CMSC 221.

CMSC 288 Computer Science Apprenticeship
Units: .25-.5
Description
Participation in development of software, with supervision of computer science faculty. Does not count for computer science major or minor. No more than a total of 1.5 units of CMSC 288 may count toward the total number of units required for a degree.

CMSC 301 Computer Organization
Units: 1
Description
Fundamentals of computer organization. Topics include instruction and, data representations, assembly language, processor data path design, memory systems and I/O. Also includes examination of how software characteristics impact hardware design and optimization. Three lecture hours and one laboratory hour per week.
Prerequisites
CMSC 221 and CMSC 240 (CMSC 240 may be taken concurrently)

CMSC 315 Algorithms
Units: 1
Description
Design, analysis, and implementation of advanced computer algorithms. Emphasis is given to problem-solving techniques, including the greedy method, divide-and-conquer, and dynamic programming. Specific problem domains vary. Topics may include sorting, graphs, networks, computational geometry, NP-completeness, approximation algorithms, text processing, distributed systems, and numerical algorithms. Three lecture hours and one laboratory hour per week.
Prerequisites
CMCS 221 and CMSC 222.

CMSC 321 Operating Systems
Units: 1
Description
Structure of operating systems, process management, memory management, file systems, and case studies. Three lecture hours and one laboratory hour per week.
Prerequisites
CMSC 222 and CMSC 301.

CMSC 322 Software Engineering Practicum
Units: 1
Description
Project-oriented course. Principles of software engineering will be emphasized throughout. Three lecture hours and one laboratory hour per week.
Prerequisites
Two courses at the 300 level that have CMSC 301 or CMSC 315 as a prerequisite, or permission of instructor.

CMSC 323 Design and Implementation of Programming Languages
Units: 1
Description
Concepts in design and implementation of programming languages, including compile-time and run-time issues. Support for block-structured procedural languages, object-oriented languages, and functional languages. Three lecture hours and one laboratory hour per week.
Prerequisites
Senior standing and CMSC 301 and CMSC 315 , or permission of instructor.

CMSC 325 Database Systems
Units: 1
Description
Introduction to systematic management of data: design and implementation of relational databases, data modeling, normalization, indexing, relational algebra, query processing, and transaction management. Programming projects include substantial use of SQL and its extensions. Three lecture hours and one laboratory hour per week.
Prerequisites
CMSC 221 and CMSC 222.

CMSC 326 Simulation
Units: 1
Description
Introduction to simulation. Discrete-event simulation, Monte Carlo simulation, simulation of queuing and inventory systems, random number generation, discrete and continuous stochastic models, elementary statistics, point and interval parameter estimation, and input modeling techniques. Three lecture hours and one laboratory hour per week.
Prerequisites
CMSC 222 and CMSC 301.

CMSC 328 Numerical Analysis
Units: 1
Description
(See MATH 328.)

CMSC 330 Theory of Computation
Units: 1
Description
Finite state machines, regular languages, push-down automata, and context-free languages. Turing machines, recursive functions, and related topics. Three lecture hours and one laboratory hour per week.
Prerequisites
CMSC 315.

CMSC 331 Introduction to Compiler Construction
Units: 1
Description
Regular languages, context-free languages, finite automata, push-down automata, lexical analysis, parsing, intermediate representation, and code generation. Three lecture hours and one laboratory hour per week.
Prerequisites
CMSC 222 and CMSC 301.

CMSC 332 Computer Networks
Units: 1
Description
Principles and techniques for data communication between computers. Topics include design and analysis of communication protocols, routing, congestion control, network-centric applications, and recent advances. Three lecture hours and one laboratory hour per week.
Prerequisites
CMSC 301.

CMSC 333 Parallel Programming
Units: 1
Description
Principles and techniques for programming computers that have multiple processors. Writing programs for parallel computers that enhance run-time efficiency, portability, correctness, and software modifiability. Three lecture hours and one laboratory hour per week.
Prerequisites
CMSC 222 and CMSC 301.

CMSC 334 Computer Security
Units: 1
Description
Theory, mechanisms, and implementation of computer security and data protection. Topics include encryption and authentication, program and language security, operating system security, and network security. Three lecture hours and one laboratory hour per week.
Prerequisites
CMSC 301 , or permission of instructor.

CMSC 335 Computer Graphics
Units: 1
Description
Device independent two- and three-dimensional computer graphics, interactive graphics, user interfaces, and human factors. Consideration of advanced modeling and rendering. Three lecture hours and one laboratory hour per week.
Prerequisites
MATH 245 and CMSC 222 and CMSC 301.

CMSC 340 Directed Independent Study
Units: .25-1
Description
To enable well-qualified students who have completed basic requirements for major to work independently in areas not included in curriculum.
Prerequisites
Permission of department chair and instructor.

CMSC 344 Advanced Computer Architecture
Units: 1
Description
Introduction to different computer architecture types and the resource demands created by their respective application domains. Discussion of superscalar processors, cache-coherence multiprocessor systems, graphics processing units, embedded systems, and network processors. Material includes reading and discussion of technical papers as well as programming projects on several different architectures. Three lecture hours and one laboratory hour per week.
Prerequisites
CMSC 301

CMSC 388 Individual Internship
Units: .25-1
Description
No more than 1.5 units of internship in any one department and 3.5 units of internship overall may be counted toward required degree units.
Prerequisites
Permission of department chair.

CMSC 395 Selected Topics
Units: .5-1
Description
Selected topics in Computer Science
Prerequisites
Permission of instructor.

CMSC 406 Summer Undergraduate Research
Units: 0
Description
Documentation of the work of students who receive summer fellowships to conduct research [or produce a creative arts project] in the summer. The work must take place over a minimum of 8 weeks, the student must engage in the project full-time (at least 40 hours per week) during this period, and the student must be the recipient of a fellowship through the university. Graded S/U.
Prerequisites
Approval for summer Arts and Sciences fellowship by faculty mentor.

Note: Knowledge of the topics of Computer Science 150 or 155 is prerequisite to all higher numbered Computer Science courses. Students who have obtained this knowledge through a high school or some other course are permitted to begin with Computer Science 221 with departmental approval.

Note: Most 300-level courses in computer science include a one hour per week laboratory component. This is an instructor-designed, organized and supervised component of the course that may occur as a fourth hour of lecture or as an extra course component scheduled outside of the lecture period. Scheduling and format may be discussed at the first class session. The format may vary by instructor and course. Students are urged to contact the instructor prior to registration if they have questions about the laboratory.