Department of Computer Science

The Department of Computer Science offers a Bachelor of Science degree in Computer Science with concentrations in cloud and systems, computer and information security, data science, and software engineering, and a Minor in Computer Science.  The Department also offers the Certificate in Pathogenic Outbreak Investigations in collaboration with the Department of Biology and the Department of Information Systems and Cyber Security in the College of Business.

Admission Policy

The goal of the Department of Computer Science is to provide undergraduate students a program of study with the highest possible standards. To achieve this goal, the admission policy of the Department of Computer Science is designed to identify those students most likely to succeed in their undergraduate computer science education.

All applicants for admission to the Department of Computer Science must be qualified to take MAT 1093 Precalculus, or higher.  Applicants who are not qualified should be admitted as an undeclared major (UND).

Applicants who are qualified to take MAT 1093 Precalculus, or higher, will be admitted to the Department as pre-computer science (PCS) students. In order to declare Computer Science as a major, a PCS student must satisfy the following criteria.

  • Completion with a grade of "C-" or better of MAT 1214 Calculus I
  • Completion with a grade of "C-" or better of CS 1713 Introduction to Computer Programming II and CS 1711 Introduction to Computer Programming II Recitation

A PCS student who fails to complete the criteria to change the major to CS within two years from the date of admission to the Department of Computer Science will be changed from PCS to undeclared (UND) in the University student record system. The student must choose a major other than computer science. A computer science minor is, however, available to all UTSA students who seek to complement a different academic major with a strong foundation in computer science.

Bachelor of Science Degree in Computer Science

The Bachelor of Science degree in Computer Science is designed to prepare students with a strong technical emphasis on modern computing and systems. The degree program offers students the opportunity to prepare for advanced graduate study and for careers in high-technology companies, business, government, and teaching. The department offers concentrations in Cloud and Systems, Computer and Information Security, Data Science, and Software Engineering.

The Bachelor of Science degree in Computer Science requires a minimum of 120 semester credit hours, including the Core Curriculum requirements. Thirty-nine of the total semester credit hours required for the degree must be at the upper-division level.

All majors in computer science are required to complete all required and elective computer science courses with a grade of “C-” or better.

All candidates seeking this degree must fulfill the Core Curriculum requirements and the degree requirements, which are listed below.

Core Curriculum Requirements (42 semester credit hours)

Students seeking the Bachelor of Science degree in Computer Science must fulfill University Core Curriculum requirements in the same manner as other students. The course listed below will satisfy both degree requirements and Core Curriculum requirements; however, if this course is taken to satisfy both requirements, then students may need to take an additional course in order to meet the minimum number of semester credit hours required for this degree.

MAT 1214 may be used to satisfy the core requirement in Mathematics as well as a major requirement.

For a complete listing of courses that satisfy the Core Curriculum requirements, see Core Curriculum Component Area Requirements.

Core Curriculum Component Area Requirements

First Year Experience Requirement (3 semester credit hours)

All students must complete the following course, for a total of 3 semester credit hours:

AIS 1203Academic Inquiry and Scholarship3

Communication (6 semester credit hours)

Students must complete the following courses, for a total of 6 semester credit hours:

WRC 1013Freshman Composition I (Q)3
WRC 1023Freshman Composition II (Q)3

Mathematics (3 semester credit hours)

Students must complete one of the following courses, for a total of 3 semester credit hours:

MAT 1023College Algebra with Applications3
MAT 1033Algebra with Calculus for Business3
MAT 1043Introduction to Mathematics3
MAT 1073Algebra for Scientists and Engineers3
MAT 1093Precalculus3
MAT 1193Calculus for the Biosciences3
MAT 1214Calculus I4
STA 1053Basic Statistics3

Life and Physical Sciences (6 semester credit hours)

Students must complete two of the following courses for a total of 6 semester credit hours:

ANT 2033Introduction to Biological Anthropology3
AST 1013Introduction to Astronomy3
AST 1033Exploration of the Solar System3
BIO 1233Contemporary Biology I3
BIO 1243Contemporary Biology II3
BIO 1404Biosciences I4
BIO 1414Biosciences II4
ES 1113Environmental Botany3
ES 1123Environmental Zoology3
ES 1213Environmental Geology3
ES 2013Introduction to Environmental Science I3
ES 2023Introduction to Environmental Science II3
GEO 1013The Third Planet3
GEO 1123Life Through Time3
GRG 2613Physical Geography3
PHY 1013Universes3
PHY 1943Physics for Scientists and Engineers I3
PHY 1963Physics for Scientists and Engineers II3

Language, Philosophy and Culture (3 semester credit hours)

Students must complete one of the following courses, for a total of 3 semester credit hours:

AAS 2013Introduction to African American Studies3
AAS 2113African American Culture, Leadership and Social Issues3
ANT 2063Language, Thought, and Culture3
ARA 1014Elementary Arabic I4
ARC 1113Introduction to the Built Environment3
ARC 1413Architecture and Culture3
CHN 1014Elementary Chinese I4
CLA 2013Introduction to Ancient Greece3
CLA 2023Introduction to Ancient Rome3
CLA 2323Classical Mythology3
CSH 1103Literary Masterpieces of Western Culture I3
CSH 1113Literary Masterpieces of Western Culture II3
CSH 1213Topics in World Cultures3
CSH 2113The Foreign Film3
ENG 2013Introduction to Literature3
ENG 2213Literary Criticism and Analysis3
ENG 2383Multiethnic Literatures of the United States3
ENG 2423Literature of Texas and the Southwest3
FRN 1014Elementary French I4
FRN 2333French Literature in English Translation3
GER 1014Elementary German I4
GER 2333German Literature in English Translation3
GLA 1013U.S. in the Global Arena3
GRG 1023World Regional Geography3
GRK 1114Introductory Classical Greek I4
HIS 2123Introduction to World Civilization to the Fifteenth Century3
HIS 2133Introduction to World Civilization since the Fifteenth Century3
HIS 2533Introduction to Latin American Civilization3
HIS 2543Introduction to Islamic Civilization3
HIS 2553Introduction to East Asian Civilization3
HIS 2573Introduction to African Civilization3
HIS 2583Introduction to South Asian Civilization3
HUM 2093World Religions3
ITL 1014Elementary Italian I4
ITL 2333Italian Literature in English Translation3
JPN 1014Elementary Japanese I4
LAT 1114Introductory Latin I4
MAS 2013Introduction to Chicano(a) Studies3
PHI 1043Critical Thinking3
PHI 2023Introduction to Ancient Philosophy3
PHI 2033Introduction to Early Modern Philosophy3
PHI 2123Contemporary Moral Issues3
RUS 1014Elementary Russian I4
RUS 2333Russian Literature in English Translation3
SPN 1014Elementary Spanish I4
SPN 2333Hispanic Literature in English Translation3
WS 2013Introduction to Women’s Studies3
WS 2023Introduction to LGBTQ Studies3

Creative Arts (3 semester credit hours)

Students must complete one of the following courses, for a total of 3 semester credit hours:

AHC 1113Survey of Art and Architecture from Prehistoric Times to 13503
AHC 1123Survey of Art and Architecture in Europe and the New World from 1350 to 17503
AHC 1133Survey of Modern Art3
ARC 1214Design I4
ARC 1513Great Buildings and Cities of the World3
ART 1103Introduction to Visual Arts3
ART 1143Art for Non-Art Majors3
CLA 2033Introduction to Classical Literature3
DAN 2003Introduction to Dance3
ENG 1113Introduction to Creative Literary Arts3
HUM 2023Introduction to the Humanities I3
HUM 2033Introduction to the Humanities II3
HUM 2053History of Film3
MAS 2023Latino Cultural Expressions3
MUS 2243World Music in Society3
MUS 2623Fundamentals of Music for the Non-Music Major3
MUS 2633American Roots Music3
MUS 2663History and Styles of Jazz3
MUS 2673History and Styles of Rock3
MUS 2683Masterpieces of Music3
MUS 2693The Music of Latin America and the Caribbean3
MUS 2743Music and Film3
PHI 2073Philosophy of Art3

American History (6 semester credit hours)

Students must complete two of the following courses, for a total of 6 semester credit hours:

HIS 1043United States History: Pre-Columbus to Civil War Era3
HIS 1053United States History: Civil War Era to Present3
HIS 2053Texas History3

Government-Political Science (6 semester credit hours)

Students must complete two of the following courses, for a total of 6 semester credit hours:

POL 1013Introduction to American Politics3
and one of the following two courses:
POL 1133Texas Politics and Society3
POL 1213Civil Rights in Texas and America3

Social and Behavioral Sciences (3 semester credit hours)

Students must complete one of the following courses, for a total of 3 semester credit hours:

AMS 2043Approaches to American Culture3
ANT 1013Introduction to Anthropology3
ANT 2043Introduction to Archaeology3
ANT 2053Introduction to Cultural Anthropology3
BBL 2003Language, Culture, and Society3
BBL 2243Globalizing the Local: Bilingual Families, Communities, and Schools3
BIO 1033Drugs and Society3
CRJ 1113The American Criminal Justice System3
ECO 2003Economic Principles and Issues3
ECO 2013Introductory Macroeconomics3
ECO 2023Introductory Microeconomics3
EGR 1343The Impact of Modern Technologies on Society3
GRG 1013Fundamentals of Geography3
GRG 2623Human Geography3
HTH 2413Introduction to Community and Public Health3
HTH 2513Personal Health3
IDS 2113Society and Social Issues3
PSY 1013Introduction to Psychology3
SOC 1013Introduction to Sociology3
SOC 2013Social Problems3
SOC 2023Social Context of Drug Use3

Component Area Option (CAO) (3 semester credit hours)

Students must complete either one of the following courses or any additional core curriculum course not previously used to satisfy a core competent area requirement, for a total of 3 semester credit hours:

COM 2113Public Speaking3
CS 1173Data Analysis and Visualization3
EGR 1403Technical Communication3
ENG 2413Technical Writing3
PAD 1113Public Administration in American Society3
PHI 2043Introductory Logic3
Core Curriculum Component Area Requirements
First Year Experience Requirement 3
Communication 6
Mathematics 3
Life and Physical Sciences 6
Language, Philosophy and Culture 3
Creative Arts 3
American History 6
Government-Political Science 6
Social and Behavioral Sciences 3
Component Area Option 3
Total Credit Hours 42

Gateway Courses

Students pursuing the Bachelor of Science degree in Computer Science must successfully complete each of the following Gateway Courses with a grade of “C-” or better in no more than two attempts. A student who is unable to successfully complete these courses within two attempts, including dropping a course with a grade of “W” or taking an equivalent course at another institution, will be required to change his or her major.

CS 1713Introduction to Computer Programming II
CS 1711Introduction to Computer Programming II Recitation
CS 2123Data Structures
CS 2121Data Structures Recitation

Degree Requirements

A. Required courses (this also satisfies the 3 hours of Core Curriculum requirements for Mathematics):
CS 1083Introduction to Programming I for Computer Scientists3
CS 1713
CS 1711
Introduction to Computer Programming II
and Introduction to Computer Programming II Recitation
4
CS 2123
CS 2121
Data Structures
and Data Structures Recitation
4
CS 2233Discrete Mathematical Structures3
CS 3333Mathematical Foundations of Computer Science3
CS 3343
CS 3341
Analysis of Algorithms
and Analysis of Algorithms Recitation
4
CS 3423
CS 3421
Systems Programming
and Systems Programming Recitation
4
CS 3443Application Programming3
CS 3723Programming Languages3
CS 3733
CS 3731
Operating Systems
and Operating Systems Recitation
4
CS 3843
CS 3841
Computer Organization
and Computer Organization Recitation
4
CS 3853
CS 3851
Computer Architecture
and Computer Architecture Recitation
4
MAT 1214Calculus I (The student who is not prepared for MAT 1214 must take MAT 1093 Precalculus.)4
MAT 1224Calculus II4
B. Upper-Division computer science courses
With prior written approval of the Undergraduate Advisor of Record, students may take upper-division MAT or STA courses to satisfy up to 6 hours of this requirement. A student with a cumulative grade point average of 3.0 or better may enroll in graduate courses and apply the credits earned toward satisfying this requirement. Enrollment in graduate courses requires prior written approvals as described in chapter 1 (Bachelor’s Degree Regulations) of this catalog.24
C. Free electives
Electives6
Total Credit Hours81

Concentration in Cloud and Systems

Students may declare a Concentration in Cloud and Systems after completing CS 3423 Systems Programming with a grade of "C-" or better. All candidates for the Concentration in Cloud and Systems must fulfill the Core Curriculum requirements and the Computer Science degree requirements including, as part of the upper-division computer science electives in item B in the degree requirements, the following two courses:

CS 4843Introduction to Cloud Computing3
CS 4853Systems Development and Programming3

plus two additional courses selected from the following:

CS 3873Computer Networks3
CS 4633Simulation3
CS 4713Compiler Construction3
CS 4823Introduction to Parallel Programming3
CS 4833Embedded Systems3
CS 4863Distributed Computing and Systems3
CS 4973Advanced Topics in Data Science3

Concentration in Computer and Information Security

Students may declare a Concentration in Computer and Information Security after completing CS 3423 Systems Programming with a grade of "C-" or better. All candidates for the Concentration in Computer and Information Security must fulfill the Core Curriculum requirements and the Computer Science degree requirements including, as part of the upper-division computer science electives in item B in the degree requirements, the following three courses:

CS 3433Principles of Computer and Information Security3
CS 4353Unix and Network Security3
CS 4363Cryptography3

Concentration in Data Science

Students may declare a Concentration in Data Science after completing CS 3343 Analysis of Algorithms with a grade of "C-" or better. All candidates for the Concentration in Data Science must fulfill the Core Curriculum requirements and the Computer Science degree requirements including, as part of the upper-division computer science electives in item B in the degree requirements, the following course:

CS 3753Introduction to Data Science3

plus two additional courses selected from the following:

CS 3743Introduction to Database Systems3
CS 4223Bioinformatics and Big Data3
CS 4233Introduction to Computational Biology and Bioinformatics3
CS 4373Introduction to Data Mining3
CS 4973Advanced Topics in Data Science3

Concentration in Software Engineering

Students may declare a Concentration in Cloud and Systems after completing CS 3443 Application Programming with a grade of "C-" or better. All candidates for the Concentration in Software Engineering must fulfill the Core Curriculum requirements and the Computer Science degree requirements including, as part of the upper-division computer science electives in item B in the degree requirements, the following course:

CS 3773Software Engineering3

plus two additional courses selected from the following:

CS 4393User Interfaces3
CS 4723Software Validation and Quality Assurance3
CS 4733Project Management3
CS 4743Enterprise Software Engineering3
CS 4773Object-Oriented Systems3
CS 4783Advanced Software Engineering3

Course Sequence Guide for B.S. Degree in Computer Science

This course sequence guide is designed to assist students in completing their UTSA undergraduate Computer Science degree requirements. This is merely a guide and students must satisfy other requirements of this catalog and meet with their academic advisor for individualized degree plans. Progress within this guide depends upon such factors as course availability, individual student academic preparation, student time management, work obligations, and individual financial considerations. Students may choose to take courses during Summer terms to reduce course loads during long semesters.

B.S. in Computer Science – Recommended Four-Year Academic Plan

First Year
FallCredit Hours
AIS 1203Academic Inquiry and Scholarship (core) 3
CS 1083Introduction to Programming I for Computer Scientists 3
MAT 1214Calculus I (core and major ) 4
WRC 1013Freshman Composition I (Q) (core) 3
Creative Arts core 3
Spring
CS 1713
CS 1711
Introduction to Computer Programming II 4
MAT 1224Calculus II 4
POL 1133 or 1213Texas Politics and Society (core) 3
WRC 1023Freshman Composition II (Q) (core) 3
Second Year
Fall
CS 2123
CS 2121
Data Structures 4
POL 1013Introduction to American Politics (core) 3
Free elective 3
Life & Physical Sciences core 3
Social & Behavioral Sciences core 3
Spring
CS 2233Discrete Mathematical Structures 3
CS 3333Mathematical Foundations of Computer Science 3
CS 3443Application Programming 3
Life & Physical Sciences core 3
Free elective 3
Third Year
Fall
CS 3423
CS 3421
Systems Programming 4
CS 3723Programming Languages 3
CS 3843
CS 3841
Computer Organization 4
Upper-division CS elective 3
Spring
CS 3343
CS 3341
Analysis of Algorithms 4
CS 3733
CS 3731
Operating Systems 4
CS 3853
CS 3851
Computer Architecture 4
Upper-division CS elective 3
Fourth Year
Fall
American History core 3
Component Area Option core 3
Upper-division CS elective 3
Upper-division CS elective 3
Upper-division CS elective 3
Spring
American History core 3
Language, Philosophy & Culture core 3
Upper-division CS elective 3
Upper-division CS elective 3
Upper-division CS elective 3
 Total Credit Hours: 120.0

Note: Some courses are only offered once a year; Fall or Spring. Check with the Department of Computer Science for scheduling of courses.

Minor in Computer Science

All students pursuing the Minor in Computer Science must complete 20 credit hours.  All required and elective courses must be completed with a grade of "C-" or better.

A. Required courses
CS 1083Introduction to Programming I for Computer Scientists3
CS 1713
CS 1711
Introduction to Computer Programming II
and Introduction to Computer Programming II Recitation
4
CS 2123
CS 2121
Data Structures
and Data Structures Recitation
4
B. CS core courses or approved CS electives
Select 9 hours of additional CS core courses or approved CS electives, at least 6 hours of which must be at the upper-division level9
Total Credit Hours20

To declare a Minor in Computer Science, obtain advice, or seek approval of substitutions for course requirements, students should consult with their academic advisor.

Certificate in Pathogenic Outbreak Investigations

This interdisciplinary certificate program is designed for students in biology, information systems and cyber security, computer science and computer engineering disciplines to investigate biological and digital pathogen identification, propagation prediction, and mitigation. The required capstone project reinforces the cross-disciplinary learning fostered by the program and provides real-world practice.

This certificate is open only to biology, information systems and cyber security, computer science, and computer engineering majors. To apply for the Pathogenic Outbreak Investigations certificate, students should consult with the Director of the Office of Undergraduate Research for specific information about certificate requirements and consult with their academic advisors to verify that they have met all University requirements. All courses used to satisfy the requirements of this undergraduate certificate program must be college-level courses taken at UTSA. Students must fulfill all prerequisite requirements for elective courses.

Students pursuing the Certificate in Pathogenic Outbreak Investigations must complete a minimum of 15 semester credit hours:

A. Courses required by all majors:
Topic: Introduction to Pathogenic Outbreak Investigations: 3
Special Studies in Biology
Special Studies in Computer Science
Special Studies in Information Systems
Topic: Advanced Research in Pathogenic Outbreak Investigations:3
Special Studies in Biology
Special Studies in Computer Science
Special Studies in Information Systems
B. Required course according to major:3
Microbiology
Special Studies in Computer Science (Topic: Cloud-oriented Big Data and Software Engineering)
Special Studies in Information Systems (Topic: Malware Agent Analysis)
C. Elective courses for each major. Select 6 hours from one of the following groups depending on major:6
Biology elective options 1
Biochemistry
Bacteriology
Immunology
Fundamentals of Immunology for Biotechnology
Special Problems (Comparative Genomics)
Special Problems (Microbial Genomics)
Information Systems/Cyber Security elective options
Intrusion Detection and Incident Response
Web Application Security
Digital Forensic Analysis I
Digital Forensic Analysis II
Cyber and Physical Systems
Computer Science elective options
Introduction to Data Science
Bioinformatics and Big Data
Unix and Network Security
Introduction to Data Mining
Topics in Computer Science
Introduction to Cloud Computing
Advanced Topics in Systems and Cloud
Advanced Topics in Data Science
Total Credit Hours15
1

Undergraduate biology students are permitted to take graduate courses based on need, student background/capability, and instructor consent.

Computer Science (CS) Courses

CS 1023. Cultural Implications of the Information Society. (3-0) 3 Credit Hours.

This course offers an examination of the modern information society and the influences of technological advances on society and culture. The emphasis is on information and its management from ethical, social, and legal perspectives. Students will make extensive use of the World Wide Web. Generally offered: Fall, Spring.

CS 1033. Microcomputer Applications. (3-0) 3 Credit Hours.

Study of the uses of the computer and the organization and visualization of data. Topics will be selected from library searching, networking, e-mail, spreadsheets, databases, authoring packages, multimedia and hypertext applications, presentation graphics, and legal/ethical issues. May not be applied toward a major in computer science. (Formerly CS 2083. Credit cannot be earned for both CS 1033 and CS 2083.) Generally offered: Spring.

CS 1063. Introduction to Computer Programming I. (3-0) 3 Credit Hours. (TCCN = COSC 1336)

Prerequisite: MAT 1073 or the equivalent. An introduction to computer programming using a modern object-oriented computer language. Topics include assignment, decisions, loops, methods and arrays using objects. Generally offered: Fall, Spring, Summer.

CS 1083. Introduction to Programming I for Computer Scientists. (3-0) 3 Credit Hours. (TCCN = COSC 1336)

Prerequisite: MAT 1073 or the equivalent. An introduction to computer programming emphasizing structured programming, problem solving, and algorithmic thinking. Topics include assignment, decisions, loops, methods, arrays, and use of objects. Students intending to major or minor in Computer Science should take this course instead of CS 1063.

CS 1143. Web Design. (3-0) 3 Credit Hours.

Prerequisite: Computer literacy. Introduction to the process of planning, designing, and building a Web site. Concepts required to design and build interactive Web sites, including page design using XHTML, tables, CSS, and JavaScript. Design tools will be used to design and maintain Web sites.

CS 1153. Game Programming. (3-0) 3 Credit Hours.

Prerequisite: Computer literacy. Introduction to game design and programming. Common practices used in the video game industry today will also be introduced. Students will learn the basics of creating a PC game through lecture material, hands-on laboratories, and a final project in which the students will build a simple game. Generally offered: Fall.

CS 1173. Data Analysis and Visualization. (3-0) 3 Credit Hours.

Prerequisite: MAT 1023. Introduction to computation for data analysis and visualization in a programming language such as MATLAB or R. Programming concepts including functions, scripting, loops and logic, handling of vectors and structured data are explored in the context of working with and plotting real data. May be applied toward the Core Curriculum requirement in the Component Area Option. (Formerly titled “Computation for Scientists and Engineers.”) Generally offered: Fall, Spring, Summer.

CS 1711. Introduction to Computer Programming II Recitation. (1-0) 1 Credit Hour. (TCCN = COSC 1437)

Prerequisite: CS 1083. Concurrent enrollment in CS 1713 is required. Recitation to accompany CS 1713. (Formerly titled “Introduction to Computer Science Recitation.”) Generally offered: Fall, Spring, Summer.

CS 1713. Introduction to Computer Programming II. (3-0) 3 Credit Hours. (TCCN = COSC 1437)

Prerequisite: CS 1083. Concurrent enrollment in CS 1711 is required. Extended programming concepts including multidimensional arrays, pointers, dynamic memory allocation/deallocation and recursion. Problem solving methods, algorithm development and implementation. (Formerly titled “Introduction to Computer Science.”) Generally offered: Fall, Spring, Summer.

CS 2073. Computer Programming with Engineering Applications. (3-0) 3 Credit Hours. (TCCN = ENGR 2304)

Prerequisites: MAT 1214 and completion of or concurrent enrollment in MAT 1224. Algorithmic approaches to problem solving and computer program design for engineers. Engineering and mathematically-oriented problem sets will be emphasized, including nonnumeric applications. Searching, sorting, linked lists, and data typing will be introduced. May not be applied toward a major in computer science. Generally offered: Fall, Spring.

CS 2121. Data Structures Recitation. (1-0) 1 Credit Hour. (TCCN = COSC 2436)

Prerequisite: CS 1713. Concurrent enrollment in CS 2123 is required. Recitation to accompany CS 2123. (Formerly CS 1721. Credit cannot be earned for both CS 2121 and CS 1721.) Generally offered: Fall, Spring, Summer.

CS 2123. Data Structures. (3-0) 3 Credit Hours. (TCCN = COSC 2436)

Prerequisite: CS 1713. Concurrent enrollment in CS 2121 is required. Abstract data structures (stacks, queues, lists, trees), recursion, sorting, and searching. Implementation of data structures using explicit memory management, and introduction to abstract data type design and encapsulation. (Formerly CS 1723. Credit cannot be earned for both CS 2123 and CS 1723.) Generally offered: Fall, Spring, Summer.

CS 2153. Game Design. (3-0) 3 Credit Hours.

Prerequisites: CS 1153. This course builds upon the lessons learned in CS 1153 Game Programming to examine in more detail the design and development of electronic games. The fundamentals of game design and development of electronic games. The fundamentals of game design will be examined in detail and the students will be responsible for building a game using a popular game engine.

CS 2233. Discrete Mathematical Structures. (3-0) 3 Credit Hours. (TCCN = MATH 2305)

Prerequisites: CS 1713 and MAT 1214. Survey and development of theoretical tools suitable for describing algorithmic applications. Propositional and predicate calculus, proofs, induction, order notation, recurrences and discrete structures. (Formerly 3233. Credit cannot be earned for both CS 2233 and CS 3233.) Generally offered: Fall, Spring, Summer.

CS 3333. Mathematical Foundations of Computer Science. (3-0) 3 Credit Hours.

Prerequisites: CS 1713 and MAT 1224. Survey and development of mathematical and statistical tools suitable for describing algorithmic applications. Vectors, matrices, combinatorics, probability and statistical models. Generally offered: Fall, Spring, Summer.

CS 3341. Analysis of Algorithms Recitation. (1-0) 1 Credit Hour.

Prerequisites: CS 2123, CS 2233, and CS 3333. Concurrent enrollment in CS 3343 is required. Recitation to accompany CS 3343. Generally offered: Fall, Spring.

CS 3343. Analysis of Algorithms. (3-0) 3 Credit Hours.

Prerequisites: CS 2123, CS 2233, and CS 3333. Concurrent enrollment in CS 3341 is required. Analysis of the performance of algorithms; discussion of programming techniques and data structures used in the writing of effective algorithms. Generally offered: Fall, Spring.

CS 3421. Systems Programming Recitation. (1-0) 1 Credit Hour.

Prerequisite: CS 2123. Concurrent enrollment in CS 3423 is required. Recitation to accompany CS 3423. (Formerly CS 2411. Credit cannot be earned for both CS 3421 and CS 2411.) Generally offered: Fall, Spring.

CS 3423. Systems Programming. (3-0) 3 Credit Hours.

Prerequisite: CS 2123. Concurrent enrollment in CS 3421 is required. A study of systems-level programming in a specific system (at present, Unix). Focus on concepts and tools to support the construction of systems programs. (Formerly CS 2413. Credit cannot be earned for both CS 3423 and CS 2413.) Generally offered: Fall, Spring.

CS 3433. Principles of Computer and Information Security. (3-0) 3 Credit Hours.

Prerequisite: CS 3423. An introduction to the protection of computer systems and networks. Topics will include authentication, access controls, malicious software, formal security methods, firewalls, intrusion detection, cryptography and information hiding, risk management, computer forensics, and ethics. Generally offered: Fall.

CS 3443. Application Programming. (3-0) 3 Credit Hours.

Prerequisite: CS 2123. Advanced application development in a current object-oriented language. Introduction to the software life cycle, best programming practices, and modern development tools. Generally offered: Fall, Spring.

CS 3723. Programming Languages. (3-0) 3 Credit Hours.

Prerequisites: CS 2233 and CS 3443. An introduction to high-level procedural, functional, and object-oriented programming languages, their theoretical foundations, organization, and implementation. Topics include formal syntax, compilers and interpreters, type systems, scoping and activation records, control structures, and data abstraction. Generally offered: Fall, Spring.

CS 3731. Operating Systems Recitation. (1-0) 1 Credit Hour.

Prerequisites: CS 3423, CS 3443, and CS 3843. Concurrent enrollment in CS 3733 is required. Recitation to accompany CS 3733. Generally offered: Fall, Spring.

CS 3733. Operating Systems. (3-0) 3 Credit Hours.

Prerequisites: CS 3423, CS 3443, and CS 3843. Concurrent enrollment in CS 3731 is required. An introduction to the functions and major techniques of a modern multiprogramming operating system. Includes exposure to the fundamentals of processor management, process synchronization, memory management, and peripheral management. Generally offered: Fall, Spring.

CS 3743. Introduction to Database Systems. (3-0) 3 Credit Hours.

Prerequisites: CS 2233 and CS 3423. Study of fundamentals of database systems. Topics include basic concepts, various data models, database design, storage systems, indexing and hashing, database application design and implementation, and commercially available database systems.

CS 3753. Introduction to Data Science. (3-0) 3 Credit Hours.

Prerequisites: CS 2123, CS 2233, and CS 3333. Study of fundamental methods and models of data science. Topics include data management, Extract-Transform-Loading methods, machine learning models, and data visualization. Use of a specialized programming language is emphasized.

CS 3773. Software Engineering. (3-0) 3 Credit Hours.

Prerequisite: CS 3443. Introduction to different aspects of software engineering with the concentration on processes, methods, and tools for developing reliable software-centered systems. Study of software development process models, project management, a variety of modeling notations, requirement analysis, architecture design methods, and testing techniques. Generally offered: Fall, Spring.

CS 3793. Introduction to Artificial Intelligence. (3-0) 3 Credit Hours.

Prerequisite: CS 3343. Discussion of theorem-proving by machine; includes computational linguistics, psychological modeling, and computer games.

CS 3841. Computer Organization Recitation. (1-0) 1 Credit Hour.

Prerequisite: CS 2123. Concurrent enrollment in CS 3843 is required. Recitation to accompany CS 3843. (Formerly CS 2731. Credit cannot be earned for both CS 3841 and CS 2731.) Generally offered: Fall, Spring.

CS 3843. Computer Organization. (3-0) 3 Credit Hours.

Prerequisite: CS 2123. Concurrent enrollment in CS 3841 is required. Organization of a computer system is introduced at block diagram level. Programming in assembly language and understanding the macroarchitecture of a computer is emphasized. Fundamentals of digital systems are introduced and the designs of various components used are investigated. (Formerly CS 2733. Credit cannot be earned for both CS 3843 and CS 2733.) Generally offered: Fall, Spring.

CS 3851. Computer Architecture Recitation. (1-0) 1 Credit Hour.

Prerequisites: CS 3423 and CS 3843. Concurrent enrollment in CS 3853 is required. Recitation to accompany CS 3853. (Formerly CS 4751. Credit cannot be earned for both CS 3851 and CS 4751.) Generally offered: Fall, Spring.

CS 3853. Computer Architecture. (3-0) 3 Credit Hours.

Prerequisites: CS 3423 and CS 3843. Concurrent enrollment in CS 3851 is required. Instruction set architecture, datapath and control unit design, advanced computer arithmetic, pipelining, memory hierarchy and I/O subsystem, performance issues. (Formerly CS 4753. Credit cannot be earned for both CS 3853 and CS 4753.) Generally offered: Fall, Spring.

CS 3873. Computer Networks. (3-0) 3 Credit Hours.

Prerequisite: CS 3843. Network architecture, TCP/IP protocol suite, routing, data-link layer protocols, medium access control protocols, error detection and recovery, local area networks, wireless and mobile networks. (Formerly CS 4873. Credit cannot be earned for both CS 3873 and CS 4873.) Generally offered: Spring.

CS 4223. Bioinformatics and Big Data. (3-0) 3 Credit Hours.

Prerequisite: CS 3343 or consent of instructor. Hands-on introduction to large-scale analysis of heterogeneous data with emphasis on integrating information and tools from publicly available biological databases to address complex problems.

CS 4233. Introduction to Computational Biology and Bioinformatics. (3-0) 3 Credit Hours.

Prerequisite: CS 3343. Study of algorithmic and statistical techniques in modeling and analyzing large-scale biological data such as DNA sequences, gene expression, and gene networks. Topics include fast string matching, sequence alignment, frequent pattern mining, clustering, classification, and significance testing.

CS 4313. Automata, Computability, and Formal Languages. (3-0) 3 Credit Hours.

Prerequisite: CS 3343. Discussion of abstract machines (finite state automata, pushdown automata, and Turing machines), formal grammars (regular, context-free, and type 0), and the relationship among them.

CS 4353. Unix and Network Security. (3-0) 3 Credit Hours.

Prerequisite: CS 3433. A technical survey of the fundamentals of computer and information security. Issues include cryptography, authentication, attack techniques at both the OS and network level, defense techniques, intrusion detection, scan techniques and detection, forensics, denial of service techniques and defenses, libpcap, libdnet and libnet programming. Generally offered: Spring.

CS 4363. Cryptography. (3-0) 3 Credit Hours.

Prerequisites: CS 3343 and CS 3433. A course in pure and applied cryptography, with emphasis on theory. Topics may include conventional and public-key cryptosystems, signatures, pseudo-random sequences, hash functions, key management, and threshold schemes.

CS 4373. Introduction to Data Mining. (3-0) 3 Credit Hours.

Prerequisite: CS 3343 or consent of instructor. Principles, techniques, systems and evaluation of data mining. Topics may include data preprocessing, frequent pattern mining, association mining, classification and prediction, cluster analysis, and advanced topics such as mining streams, time-Series, texts, and graphs.

CS 4383. Computer Graphics. (3-0) 3 Credit Hours.

Prerequisites: CS 2123 and CS 3343. An introduction to two- and three-dimensional generative computer graphics. Display devices, data structures, mathematical transformations, and algorithms used in picture generation, manipulation, and display.

CS 4393. User Interfaces. (3-0) 3 Credit Hours.

Prerequisite: CS 3443. Study of advanced user interface issues. User interface design, human factors, usability, GUI programming models, and the psychological aspects of human-computer interaction. Generally offered: Fall.

CS 4413. Web Technologies. (3-0) 3 Credit Hours.

Prerequisite: CS 3423. Fundamentals of Web and component technology: markup languages, layout design, client and server side programming, database and Web integration. Generally offered: Fall.

CS 4593. Topics in Computer Science. (3-0) 3 Credit Hours.

Prerequisite: Consent of instructor. Advanced topics in an area of computer science. May be repeated for credit when topics vary. Generally offered: Spring.

CS 4633. Simulation. (3-0) 3 Credit Hours.

Prerequisite: CS 3343. Design, execution, and analysis of simulation models, discrete event simulation techniques, input and output analysis, random numbers, and simulation tools and languages.

CS 4643. Cellular and Mobile Technologies. (3-0) 3 Credit Hours.

Prerequisite: CS 3733. A study of cellular and mobile infrastructure, networks, and applications. Focus on concepts and tools related to the major cellular and mobile protocols.

CS 4653. Software and Malware Reverse Engineering. (3-0) 3 Credit Hours.

Prerequisite: CS 3433. An introduction to the basic procedures to reverse engineering of software, hardware and malware.

CS 4663. Distributed and Cloud Systems Security. (3-0) 3 Credit Hours.

Prerequisite: CS 3733. A study of the uses and security issues of virtualization, distributed systems and cloud systems.

CS 4673. Cyber Operations. (3-0) 3 Credit Hours.

Prerequisite: CS 4353. A study of both offensive and defensive operations, risk management and the legal issues.

CS 4713. Compiler Construction. (3-0) 3 Credit Hours.

Prerequisites: CS 3723 and CS 3843. An introduction to implementation of translators. Topics include formal grammars, scanners, parsing techniques, syntax-directed translation, symbol table management, code generation, and code optimization. (Formerly titled “Compiler Writing.”).

CS 4723. Software Validation and Quality Assurance. (3-0) 3 Credit Hours.

Prerequisite: CS 3773. Study of software validation techniques. Introduction to static analysis and software testing approaches (functional testing, structural testing, integration testing and regression testing). Overview of test planning and test case design. Review of topics in quality assurance. Generally offered: Spring.

CS 4733. Project Management. (3-0) 3 Credit Hours.

Prerequisite: CS 3773. Introduction to principles and best practices for software project management. Topics include software process models, capability maturity model, metrics, cost estimation, software project planning, risk management, software configuration management, people management, and software management CASE tools.

CS 4743. Enterprise Software Engineering. (3-0) 3 Credit Hours.

Prerequisite: CS 3773. Providing a hands-on introduction to principles and best practices for the development of enterprise-level software systems. Topics include architectural patterns, database models, remote deployment and execution, and concurrency management. (Formerly titled “Applied Software Engineering.”).

CS 4773. Object-Oriented Systems. (3-0) 3 Credit Hours.

Prerequisite: CS 3773. An introduction of principles and methodologies of good software design. Study of object-oriented concepts and techniques, encapsulation, inheritance mechanisms, polymorphism, and programming in one or more object-oriented languages. Examination of design patterns that provide reusable solutions to problems in object-oriented design.

CS 4783. Advanced Software Engineering. (3-0) 3 Credit Hours.

Prerequisite: CS 3773. Application of software engineering principles to develop a working, security-hardened software product as a team project. Real-world case studies and perspectives will accompany lecture to provide students with an industry-level viewpoint.

CS 4823. Introduction to Parallel Programming. (3-0) 3 Credit Hours.

Prerequisites: CS 3343 and CS 3423. Parallel programming concepts (partitioning, synchronization and communication, programming models-shared memory based and message based), programming tools and languages, performance issues.

CS 4833. Embedded Systems. (3-0) 3 Credit Hours.

Prerequisites: CS 3343, CS 3733, and CS 3853. Concepts and design principles of embedded systems. Microprocessor and hardware architecture, sensors and actuators, basic feedback control theory. Real-time scheduling, programming in embedded systems.

CS 4843. Introduction to Cloud Computing. (3-0) 3 Credit Hours.

Prerequisite: CS 3423. The general trend of modern computing in cloud. Cloud computing paradigm and associate key technologies. Programming in cloud environment (e.g., Hadoop, MapReduce, and OpenStack APIs). Privacy and security in Cloud.

CS 4853. Systems Development and Programming. (3-0) 3 Credit Hours.

Prerequisite: CS 3733. Concepts and knowledge on system booting, memory management, process and scheduling, interrupt handling, system calls, file systems, networking, device drivers and module programming. Runtime systems. Programming kernel modules in Linux.

CS 4863. Distributed Computing and Systems. (3-0) 3 Credit Hours.

Prerequisite: CS 3733. A distributed system comprises computers working together as a single unit. These systems are essential to the understanding of present and future computer applications. This course will include the following topics: concurrent processing, threads, network programming, distributed file systems, remote procedure calls, distributed objects, client-server models, and Internet protocols.

CS 4911. Independent Study. (0-0) 1 Credit Hour.

Prerequisites: Permission in writing (form available) from the instructor, the student’s advisor, the Department Chair, and the Dean of the College in which the course is offered. Independent reading, research, discussion, and/or writing under the direction of a faculty member. May be repeated for credit, but not more than 6 semester credit hours, regardless of discipline, will apply to a bachelor’s degree.

CS 4912. Independent Study. (0-0) 2 Credit Hours.

Prerequisites: Permission in writing (form available) from the instructor, the student’s advisor, the Department Chair, and the Dean of the College in which the course is offered. Independent reading, research, discussion, and/or writing under the direction of a faculty member. May be repeated for credit, but not more than 6 semester credit hours, regardless of discipline, will apply to a bachelor’s degree.

CS 4913. Independent Study. (0-0) 3 Credit Hours.

Prerequisites: Permission in writing (form available) from the instructor, the student’s advisor, the Department Chair, and the Dean of the College in which the course is offered. Independent reading, research, discussion, and/or writing under the direction of a faculty member. May be repeated for credit, but not more than 6 semester credit hours, regardless of discipline, will apply to a bachelor’s degree. Generally offered: Fall, Spring, Summer.

CS 4933. Internship in Computer Science. (0-0) 3 Credit Hours.

Prerequisites: Junior or senior standing, an overall 2.5 grade point average, and permission in writing from the instructor, the Department Chair, and the Dean of the College of Sciences. The opportunity for a semester-long work experience in a private business or public agency in a computer science-related position. Not more than 3 semester credit hours of CS 4933, and not more than a total of 6 semester credit hours of CS 4933 and independent study courses may count toward the Bachelor of Science degree in Computer Science. The grade report for this course is either “CR” (satisfactory participation in the internship) or “NC” (unsatisfactory participation in the internship). Generally offered: Fall, Summer.

CS 4953. Special Studies in Computer Science. (3-0) 3 Credit Hours.

Prerequisite: Consent of instructor. An organized course offering the opportunity for specialized study not normally or not often available as part of the regular course offerings. Special Studies may be repeated for credit when topics vary, but not more than 6 semester credit hours, regardless of discipline, will apply to a bachelor’s degree. Generally offered: Summer.

CS 4963. Advanced Topics in Systems and Cloud. (3-0) 3 Credit Hours.

Prerequisite: Consent of instructor. Advanced topics in an area of systems and cloud. May be repeated for credit when topics vary.

CS 4973. Advanced Topics in Data Science. (3-0) 3 Credit Hours.

Prerequisite: Consent of instructor. Advanced topics in an area of data science. May be repeated for credit when topics vary.

CS 4993. Honors Research. (0-0) 3 Credit Hours.

Prerequisites: Enrollment limited to candidates for College Honors during their last two semesters; approval by the College Honors Committee. Supervised research and preparation of an honors thesis. May be repeated once with approval.