CSC

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Problem solving through writing FORTRAN programs. Particular elements include: careful development of FORTRAN programs from specifications; documentation and style; appropriate use of control structures, data types and subprograms; abstractions and verification; engineering applications. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Corequisite

E 115 or COS 100 and MA 121 or MA 131 or MA 141

Problem solving through writing MATLAB programs. Particular elements include: careful development of MATLAB programs from specifications; documentation and style; appropriate use of control structures, data types and subprograms; abstractions and verification; engineering applications. Most seats reserved for Aerospace, Mechanical, and Biomedical Engineering majors. Typically offered in Fall and Spring

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Corequisite

E 115 or COS 100 and MA 121 or MA 131 or MA 141

An introductory course in computing in Java. Emphasis on algorithm development and problem solving. Careful and methodical development of Java applications from specifications; documentation and style; appropriate use of control structures; classes and methods; data types and data abstraction; object-oriented programming and design; software testing. Most seats reserved for Computer Science majors. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Corequisite

E 115 or COS 100 and MA 121 or MA 131 or MA 141

E 101 Introduction to Engineering & Problem

Subject

CSC

Credits (min)

2

Credits (max)

2

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

The second course in computing, intended for majors and minors. Emphasis is on exploring encapsulation; polymorphism; composition; inheritance; finite state machines; linear data structures (including array lists, linked lists, stacks, queues, and the tradeoffs in implementation); and recursion (including recursive linked lists) in the context of the software development lifecycle including the processes and practices for designing, implementing, and testing high quality software. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 116 with a grade of C or better; Corequisite: CSC 217

Laboratory course to accompany CSC 216 lecture course. Application of the software processes and practices to design, implement, and test the development of software solutions requiring composition; inheritance; finite state machines; and linear data structures, including recursive linked lists. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

1

Credits (max)

1

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 116 with a C or better; Corequisites: CSC 216

Emphasis on counting (combinatorics), formal proofs, and applications of discrete mathematics. Topics will include (but are not limited to): permutations, combinations, probability, propositional logic, predicate calculus, proof approaches, induction, modular arithmetic, recurrence relations, asymptotic growth of functions, and introduction to graph theory. This course assumes knowledge of topics covered in high-school Algebra I and II. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

In this course, students will develop skills in several important areas. First, we'll get some experience working in C, a language that lets us think like procedural rather than object-oriented developers. Also, being a fairly low-level language, C lets us see and control more of what's going on in the hardware. This can help us think about using the hardware more effectively, whether we're actually programming in C or in a higher-level language. While we learn C, we'll also learn about tools and techniques that help us build, manage, debug and analyze software projects. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 216 with a C or better.

4 for Computer Scientists 2 CSC 246 Concepts and Facilities of Operating Systems for 3 2 Computer Scientists

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

CSC 255

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Surveys history, technology, narrative, ethics, and design of interactive computer games. Work in teams to develop novel game designs and computer games. Introduction to the interplay of narrative, technology, rule systems, play and culture in the creation of interactive games. Programming experience not required. Enrollment restricted to students with at least sophomore status. GEP Interdisciplinary Perspectives Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Special topics in computer science at the early undergraduate level with the presentation of material not normally available in regular course offerings or offering of new courses on a trial basis. Credits and content are determined by the faculty member in consultation with the Director of Undergraduate Programs and the CSC Undergraduate Curriculum Committee. Students may receive credit multiple times for this course if a different topic is taught. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

1

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

Computer Science majors only

hours) This course is for teaching assistants (TA) and graders of undergraduate computer science service courses. This survey course will cover effective communication skills, working with diverse students, and educational psychology. Students will be expected to complete weekly assignments and a presentation based final. Departmental Approval Required; students who enroll in the course must be employed as a TA/grader during the semester of instruction. Student must be a recently hired Teaching Assistant/Grader in the CSC department. Typically offered in Fall and Spring

Subject

CSC

Credits (min)

1

Credits (max)

1

Credit unit

credit

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Subject

CSC

Credits (min)

1

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Introductory cybersecurity topics that may cover areas like cybersecurity policy, law, attacks and defenses, ethics, forensics, social engineering, usability, or privacy. Topics will vary by section and semester. Course may be taken multiple times only if topic is different. Typically offered in Fall and Spring

Subject

CSC

Credits (min)

1

Credits (max)

1

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

hours) Mentored research experience in Computer Science. The experience must be arranged in advance by the student and approved by the Department of Computer Science prior to enrollment. A minimum of 45 hours must be completed for each credit hour earned. A final report approved by the faculty mentor and the department are required. Individualized/Independent Research courses require a "Course Agreement for Students Enrolled in Non-Standard Courses" to be completed by the student and faculty member prior to registration by the department. CSC 299 may not be repeated. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

1

Credits (max)

3

Credit unit

credit

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Other Restricted Elective - Group B (p. 4) 3

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Numerical computations with digital computers; floating point arithmetic and implications of round-off error; Monte Carlo methods. Algorithms and computer techniques for the numerical solution of problems in: function evaluation; zeros of functions; interpolation; numerical differentiation an integration; linear systems of equations; curve fitting; solutions of non- linear equations; optimization. Typically offered in Fall only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 116 with a grade of C or higher and MA 305 or MA 405

Abstract data types; abstract and implementation-level views of data types. Linear and branching data structures, including stacks, queues, trees, heaps, hash tables, graphs, and others at discretion of instructor. Best, worst, and average case asymptotic time and space complexity as a means of formal analysis of iterative and recursive algorithms.

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 216 with a grade of C or better and (CSC 226 or

Application of software engineering methods to develop complex products, including the following skills: quality assurance, project management, requirements analysis, specifications, design, development, testing, production, maintenance, security, privacy, configuration management, build systems, communication, and teaming. Typically offered in Fall and Spring

Subject

CSC

Credits (min)

4

Credits (max)

4

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

[CSC 230 or ECE 209] and [CSC 316 or ECE 309]

Study of three classical formal models of computation--finite state machines, context-free grammars, and Turing machines--and the corresponding families of formal languages. Power and limitations of each model. Parsing. Non-determinism. The Halting Problem and undecidability. The classes P and NP, and NP-completeness. Typically offered in Fall and Spring

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

Grade of C or better in either MA 225 or CSC 226

hours) This course explores client-server computing on the World Wide Web. The course focuses on the architecture of web-based full-stack applications as well as currently accepted industry's best practices. Students gain practical exposure to concepts, tools, and technology associated with web development through hands-on projects. Typically offered in Fall and Spring CSC 366/ECE 366 Design and Analysis of Algorithms (3 credit hours) This course covers the fundamentals in algorithm design and analysis, focusing on the themes of efficient algorithms and intractable problems. Topics include divide and conquer algorithms, graph algorithms, greedy algorithms, dynamic programming, NP-completeness and reductions. The course goal is to provide a solid foundation in algorithms for students in preparation for a job in industry and more advanced courses. Undergraduate students cannot receive credit for both CSC 366 and CSC 505. d Prerequisite: CSC 316 OR (CSC 226 AND ECE 309) Typically offered in Fall only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

Grade of C or better in CSC 216

Computers have become ubiquitous and advances in computing power and accessibility have enabled applications that were speculation a generation ago. Computing professionals, as the gatekeepers of this technology, have significant responsibilities to society. This course examines the role of the computing professional in modern society, focusing on the ethical and moral responsibilities of the profession. Additional topics will include moral/ethical decision-making, whistle- blowing, global organizations, licensure, and emerging technologies. Requirement: Junior Standing Typically offered in Fall and Spring

Subject

CSC

Credits (min)

1

Credits (max)

1

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

hours) This course provides an introduction to fundamental concepts in the design and implementation of computer networks, their protocols, and applications with a particular emphasis on the Internet's TCP/IP, OSPF/ BGP, Ethernet, IEEE 802.11 protocol suite. Topics to be covered include: network architectures, packet/circuit switching, network applications, sockets, reliable data transport, flow control, congestion control, routing, link protocols, addressing, local area networks, wireless networks, mobility, management, network security, software defined networking and the design of network services. Credit is not allowed for both CSC 401 and ECE 407. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

ST 370 and CSC 246

Through a series of hands-on networking labs, students will gain experience in practical topics such as network configuration, troubleshooting, and static and dynamic routing. The course prepares students sufficiently for an industry certification. Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 401

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Basic concepts and techniques in information security and management such as risks and vulnerabilities, applied cryptography, program security, malicious software, authentication, access control, operating systems security, multilevel security, trusted operating systems, database security, inference control, physical security, and system assurance and evaluation. Coverage of high-level concepts such as confidentiality, integrity, and availability applied to hardware, software, and data. Typically offered in Spring only CSC 406/CSC 506/ECE 506/ECE 406 Architecture Of Parallel Computers (3 credit hours) The need for parallel and massively parallel computers. Taxonomy of parallel computer architecture, and programming models for parallel architectures. Example parallel algorithms. Shared-memory vs. distributed-memory architectures. Correctness and performance issues. Cache coherence and memory consistency. Bus-based and scalable directory-based multiprocessors. Interconnection-network topologies and switch design. Brief overview of advanced topics such as multiprocessor prefetching and speculative parallel execution. Credit is not allowed for more than one course in this set: ECE 406, ECE 506, CSC 406. Typically offered in Fall and Spring

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Corequisite

CSC 246

s or CSC 506 Architecture Of Parallel Computers

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

CSC SE Core (p. 2) CSC SE Restricted Electives (p. 2) SE Restricted Electives (p. 2)

Subject

CSC

Credits (min)

1

Credits (max)

1

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

or CSC 509 Control Systems for Robotics

Subject

CSC

Credits (min)

2

Credits (max)

2

Type

course

Edition

2026-2027-undergraduate

Source

catalog.ncsu.edu

Overview and definitions of Artificial Intelligence (AI). Search, including depth-first and breadth-first techniques with backtracking. Knowledge representation with emphasis on logical methods, Horn databases, resolution, quantification, unification, skolemization and control issues; non-monotonic reasoning; frames; semantic nets. AI systems, including planning, learning, natural language and expert systems. An AI programming language may be taught at the instructor's discretion. Typically offered in Fall and Spring Graduate Catalog 1043 CSC 412/CSC 512 Compiler Construction (3 credit hours) The course will concentrate on the theory and practice of compiler- writing. Topics to be covered will include techniques for parsing, code generation, and optimization. Furthermore, the theoretical underpinnings of compilers such as LR parsing will be covered. Finally, the students will be exposed to compiler construction tools, and will obtain hands- on experience in building a compiler for a small programming language. Besides the listed prerequisite courses, other helpful courses include CSC 253, CSC 224, CSC 234, and MA 121. equivalent classes. Typically offered in Fall only CSC 414/CSC 514/MA 414/MA 514 Foundations of Cryptography (3 credit hours) Cryptography is the study of mathematical techniques for securing digital information, systems and distributed computation against adversarial attacks. In this class you will learn the concepts and the algorithms behind the most used cryptographic protocols: you will learn how to formally define security properties and how to formally prove/disprove that a cryptographic protocol achieves a certain security property. You will also discover that cryptography has a much broader range of applications. It solves absolutely paradoxical problems such as proving knowledge of a secret without ever revealing the secret (zero-knowledge proof), or computing the output of a function without ever knowing the input of the function (secure computation). Finally, we will look closely at one of the recent popular application of cryptography: the blockchain technology. Additionally, graduate students will study some of the topics in greater depth. Typically offered in Fall only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 316 or ECE 309 Graduate standing and CSC 316 and CSC 333 or (CSC 226 AND CSC 333) OR MA 225

or CSC 512 Compiler Construction

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

or CSC 415 or Software Security or CSC 433 or Privacy in the Digital Age Basic Science Elective (p. 593) 3 GEP Requirement (p. 82) 3 3 Hours 15

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Introduces students to the discipline of designing, developing, and testing secure and dependable software-based systems. Students will learn about risks and vulnerabilities, and effective software security techniques. Topics include common vulnerabilities, access control, information leakage, logging, usability, risk analysis, testing, design principles, security policies, and privacy. Project required. Typically offered in Spring only CSC 416/MA 416 Introduction to Combinatorics (3 credit hours) Basic principles of counting: addition and multiplication principles, generating functions, recursive methods, inclusion-exclusion, pigeonhole principle; basic concepts of graph theory: graphs, digraphs, connectedness, trees; additional topics from:Polya theory of counting, Ramsey theory; combinatorial optimization - matching and covering, minimum spanning trees, minimum distance, maximum flow; sieves; mobius inversion; partitions; Gaussian numbers and q-analogues; bijections and involutions; partially ordered sets. Typically offered in Spring only This course is offered alternate years

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

Grade of C or better in either MA 225 or CSC 226

Corequisite

CSC 326

6 CSC 427 Introduction to Numerical Analysis I 3

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Theory of programming languages with emphasis on programming language semantics and implementation issues. Formal models of syntax and semantics. Static versus dynamic scoping. Parameter passing mechanisms. Garbage collection. Programming in alternate paradigms such as applicative, functional, logic, and object-oriented programming languages. Typically offered in Fall only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 316 or ECE 309

An overview of concepts, methods, and tools for analysis and design of software systems, with an emphasis on modern design principles and patterns that support the development of maintainable, reusable and extensible software. The course will explore the analysis of user/ client needs for software systems with requirements engineering and the design phases covering the definition of software architecture. This course has a primary focus on modeling and the central role of modeling in eliciting, understanding, analyzing and communicating software requirements, design, and architecture. Typically offered in Fall only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 316 or ECE 309

or CSC 519 DevOps: Modern Software Engineering Practices

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

This course primarily focuses on developing AI solutions to address complex software challenges, including the following content: AI model training and inference specifically for programming, software dataset construction and quality assessment, supporting tools for software development, AI for software security and privacy, developer-AI interaction, AI for software testing, communication, and teaming. It's a project-based course. Typically offered in Fall and Spring CSC 422/CSC 522 Automated Learning and Data Analysis (3 credit hours) This course provides an introduction to concepts and methods for extracting knowledge or other useful forms of information from data. This activity, also known under names including data mining, knowledge discovery, and exploratory data analysis, plays an important role in modern science, engineering, medicine, business, and government. Students will apply supervised and unsupervised automated learning methods to extract patterns, make predictions and identify groups from data. Students will also learn about the overall process of data collectio and analysis that provides the setting for knowledge discovery, and concomitant issues of privacy and security. Examples and projects introduce the students to application areas including electronic commerce, information security, biology, and medicine. Students cannot get credit for both CSC 422 and CSC 522. Typically offered in Fall and Spring CSC 425/ECE 525/CSC 525/ECE 425 Neural Networks and Deep Learning (3 credit hours) Techniques for the design of neural networks for machine learning. An introduction to deep learning. Emphasis on theoretical and practical aspects including implementations using state-of-the-art software libraries. as Python) and ECE 220 or MA 305 or MA 405 or equivalent and MA 242 or equivalent and ST 370 or ST 371 or equivalent Typically offered in Spring only CSC 427/MA 427 Introduction to Numerical Analysis I (3 credit hours) Theory and practice of computational procedures including approximation of functions by interpolating polynomials, numerical differentiation and integration, and solution of ordinary differential equations including both initial value and boundary value problems. Computer applications and techniques. CSC 113 or CSC 114 or CSC 116 or MA 116 or PY 251 or ST 114 or ECE 209) Typically offered in Fall only CSC 428/MA 428 Introduction to Numerical Analysis II (3 credit hours) Computational procedures including direct and iterative solution of linear and nonlinear equations, matrices and eigenvalue calculations, function approximation by least squares, smoothing functions, and minimax approximations. or CSC 114 or CSC 116 or MA 116 or PY 251 or ST 114 or ECE 209) Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 226 or LOG 201, ST 370, MA 305 or MA 405 Programming experience (an object-oriented language such (MA 341 or MA 301) and ( CSC 111 or CSC 112 or (MA 305 or MA 405) and (CSC 111 or CSC 112 or CSC 113

Corequisite

CSC 326 and CSC 411

or CSC 522 Automated Learning and Data Analysis

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

3 CSC 428 Introduction to Numerical Analysis II 3 3 CSC 442 Introduction to Data Science 3 3 CSSC 490 Senior Seminar in Crop Science and Soil Science 1 3 EC 201 Principles of Microeconomics 3 3 EC 202 Principles of Macroeconomics 3 3 EC 205 Fundamentals of Economics 3 3 EC 301 Intermediate Microeconomics 3 3 EC 302 Intermediate Macroeconomics 3 3 EC 305 A Closer Look at Capitalism 3 3 EC 336 Introduction to Resource and Environmental 3 3 Economics

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

4 CSC 565 Graph Theory 3

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Hardware characteristics of storage devices. Basic file organizations including sequential, direct, and indexed sequential; hashing and collision resolution; perfect hashing; signatures; bloom filters; sorting and other bit level structures. Tree structures including binary search trees, B-trees, and trees. Dynamic hashing techniques. Structures including grid files. Applying file structures to practical problems. Typically offered in Fall and Spring n CSC 433 Privacy in the Digital Age (3 credit hours) Privacy is a growing concern in our modern society. We interact and share our personal information with a wide variety of organizations, including financial and healthcare institutions, web service providers and social networks. Many times such personal information is inappropriately collected, used or shared, often without our awareness. This course introduces privacy in a broad sense, with the aim of providing students an overview of the challenging and emerging research topics in privacy. This course will expose students to many of the issues that privacy engineers, program managers, researchers and designers deal with in industry. ST 370 is recommended. P: CSC 316 Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 230 or ECE 209 and CSC 316 or ECE 309

3 or CSC 533 Privacy in the Digital Age

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

CSC/ST 442 Introduction to Data Science 3

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

or CSC 547 Cloud Computing Technology

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Concepts, theories, and techniques for Web services. This course examines architectures for Web applications based on the classical publish, find, and bind triangle. It considers the description, discovery, and engagement of Web services. It emphasizes Web service composition. Key topics include semantics, transactions, processes, agents, quality of service, and compliance. Typically offered in Fall only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 316 or ECE 309

3 CSC 453 Introduction to Internet of Things (IoT) Systems 3 3 CSC 454 Human-Computer Interaction 3 3 or CSC 554 Human-Computer Interaction 3 CSC 455 Social Computing and Decentralized Artificial 3

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

A survey of concepts and techniques for user interface design and human computer interaction. Emphasizes user-centered design, interface development techniques, and usability evaluation. Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 316 or ECE 309

Intelligence (3 credit hours) This course surveys the field of social computing, introducing its key concepts, paradigms, and techniques. Specific topics are selected from the following list: social media and social network analytics, sociologica underpinnings, crowdsourcing and surveys, human computation, social mobilization, human decision making, voting theory, judgment aggregation, prediction markets, economic mechanisms, incentives, organizational modeling, argumentation, contracts, norms, mobility and social context, sociotechnical systems, and software engineering with and for social computing. This course incorporates ideas from diverse disciplines (including sociology, psychology, law, economics, political science, logic, statistics, philosophy, business) to provide essential background for future computer science careers in industry and research. Typically offered in Fall only

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 226 and CSC 316

hours) Major components of digital computers and the organization of these components into systems. Begins with single processor systems and extends to parallel systems for multiprocessing. Topics include computer organization, instruction set design, cache memory, pipelined processors, and multiprocessors. Recent developments in PC and desktop architectures are also studied. Typically offered in Fall only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 236 and CSC 316

Principles of computer graphics with emphasis on two-dimensional and aspects of three-dimensional raster graphics. Topics include: graphics hardware devices, lines and polygons, clipping lines and polygons to windows, graphical user interface, vectors, projections, transformations, polygon fill. Programming projects in C or C++. or ECE 309 Typically offered in Fall only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

MA 305 or MA 405 and CSC 230 or ECE 209 and CSC 316

Principles of computer graphics with emphasis on three-dimensional graphics. Topics include: 3-D projections and transformations, curves and surfaces, color and texture, animation, visualization, and global illumination techniques. Programming project required. Typically offered in Spring only CSC 467/CSC 567/ECE 467/MA 467/MA 567/ECE 567 Introduction to Quantum Algorithms (3 credit hours) The course will develop some well-known algorithms in quantum computing. Learning about quantum algorithms requires background in linear algebra and quantum gates, and many of our algorithmic insights will come from a signal processing angle. Therefore, we will review linear algebra, signal processing, and quantum gates. (Some students will not have all the background, in which case they should be willing to work somewhat harder during the first half of the course as we review these concepts. Specifically, students are expected to have encountered Fourier transforms in past coursework, but a review will be provided for those less familiar with the topic.) Armed with this background, we will study several quantum algorithms based on the quantum Hadamard and Fourier transforms, which connect to signal processing. Grover's unstructured quantum search algorithm will also be covered. l Restriction: Much of the background will be covered during the first half of the course. Students who are unsure about their linear algebra and signal processing background can consult with the instructor Typically offered in Spring only CSC 469/ECE 469 Quantum Programming (3 credit hours) Introduction to programming for quantum computers. Introduction to the gate-level model of quantum computing, including quantum bits (qubits) and quantum information. Manipulation of quantum states using gates, circuits, and algorithms. Exploration of problems for which quantum computing provides an advantage over classical computing. Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 461 CSC 316 or ECE 309

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Hours CSC 471 Modern Topics in Cybersecurity 3 ge 3 CSC 472 Cybersecurity Practicum 3

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Exploration of three modern or emerging topics in Cybersecurity beyond the core cybersecurity curriculum. These topics may vary by semester. Enrollment is open to CSC majors only. Major; junior or senior standing. Typically offered in Fall only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 236 and CSC 316; Restriction: Computer Science

Solve a real-world cybersecurity software problem working as a team with industry sponsors. You and your team will plan, design, code, and deliver software solutions to meet sponsor-defined deliverables. You will use industry tools, develop familiarity with industry practices and approaches in software development, and work on projects that will have real-world security impact. Enrollment is open to CSC majors only. Typically offered in Fall only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 405 and CSC 474

Basic concepts and techniques in information security and management such as risks and vulnerabilities, applied cryptography, authentication, access control, multilevel security, multilateral security, network attacks and defense, intrusion detection, physical security, copyright protection, privacy mechanisms, security management, system assurance and evaluation, and information warfare. Coverage of high-level concepts such as confidentiality, integrity, and availability applied to hardware, software, and data. Credit not allowed for both CSC 474 and CSC 574. Typically offered in Fall only CSC 481/CSC 581 Game Engine Foundations (3 credit hours) In this course we will examine some of the components of a commercial strength game engine. We will survey different genres of games, using some of the unique design challenges each genre provides as a motivation for an in-depth examination of the affordances games engines provide for designing games of that genre. We will cover topics ranging from data structures, resource management, game loops and logical timing systems, scripting, error logging, and networking. A sequence of programming assignments will lead students through the implementation of their own game engine, which they will use to design their own game. Typically offered in Fall only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 230 or ECE 209 CSC 316 or ECE 309; Restriction: CSC Majors Only

or CSC 581 Game Engine Foundations

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Principles of computer game development with emphasis on 3D first- person game engines. Topics include: advanced character behavior control, procedural content generation, large scale mulit-player game design and infrastructure, serious games for education, training and other applications, the game production pipeline and project built on top of a commercial game engine. Consideration of the game production pipeline, including project pitches, requirements and design detail. Programming project with written and oral reporting is required. Enrollment open to CSC majors only. Typically offered in Spring only Graduate Catalog 1047 CSC 484/CSC 584 Building Game AI (3 credit hours) In this course we will examine Artificial Intelligence (AI) techniques that are used in the design of computer games. We will look at techniques for game playing as well as the design of AI opponents tasked with creating "good experiences" for players. The course will begin with a discussion of general AI, common algorithms, data structures, and representations. From there, we will cover topics in character movement, pathfinding, decision making, strategy, tactics, and learning. In a sequence of programming assignments students will create increasingly sophisticated AI implementations. Students will also critically review the projects conducted by graduate students enrolled in CSC584. CSC majors only. Students cannot get credit for both CSC 484 and CSC 584. Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 481 CSC 316

or CSC 584 Building Game AI

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Computational Visual Narrative is a project-based course for developing computational media with visual computing tools such as game engines. Within this course we will gain familiarity with the repertoire and practice of individuals involved in the design and development of digital interactive experiences. In the process, you will gain an understanding of the underlying concepts, techniques and technologies of computational and digital systems, software development and its role and potential in narrative practice. Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 316 or ECE 309

Detailed investigation of computing topics of particular interest to advanced undergraduate computer science majors under faculty direction. Appropriate topics may include software development projects, tutorial work on new or emerging technologies, or exploration of an emerging computing topic. The experience must be arranged in advance by the student and approved by the Department of Computer Science prior to enrollment. A minimum of 45 hours must be completed for each credit hour earned. An independent study proposal and final report approved by the faculty mentor and the department are required. Individualized/Independent Study courses require a "Course Agreement for Students Enrolled in Non-Standard Courses" be completed by the student and faculty member prior to registration by the department. At most 6 credit hours of CSC 498 and/or CSC 499 may be applied to degree. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

1

Credits (max)

6

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

Computer Science majors only

Topics of current interest in computer science not covered in existing courses. Each special topics course will have one or more prerequisites from the Computer Science core courses. Credits and content are determined by the faculty member in consultation with the Director of Undergraduate Programs and the CSC UGCC. Students may receive credit multiple times for this course if a different topic is taught. Prerequisites and Corequisites vary by offering. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

1

Credits (max)

6

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

Computer Science majors only

CSC 495

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

hours) Independent investigation of a research problem under the supervision of a faculty member in the Department of Computer Science. The experience must be arranged in advance by the student and approved by the Department of Computer Science prior to enrollment. A minimum of 45 hours must be completed for each credit hour earned. An independent research proposal and final report approved by the faculty mentor and the department are required. Individualized/Independent Research courses require a "Course Agreement for Students Enrolled in Non-Standard Courses" to be completed by the student and faculty member prior to registration by the department. At most 6 credit hours of CSC 498 and/or CSC 499 may be applied to degree. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

1

Credits (max)

6

Credit unit

credit

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

CSC/ECE 506 Architecture of Parallel Computers CSC/ECE 510 Software Engineering

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Introduction to the conceptual and formal apparatus of mathematical logic, to mathematical concepts underlying the process of logical formalization, and to the applications of various logics across a broad spectrum of problems in computer science and artificial intelligence. Typically offered in Fall only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

CSC 333 of LOG 335 or LOG 435

CSC(ECE) 506 Architecture of Parallel Computers

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Area 1 CSC 742 - Database Management Systems

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

3 CSC 541 Advanced Data Structures 3 1-6 CSC 565 Graph Theory 3

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

CSC(BUS) 516 E-Commerce Practicum CSC(ECE) 517 Object-oriented Languages and Systems

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Introduces students to the discipline of designing, developing, and testin secure and dependable software-based systems. Students will learn about risks and vulnerabilities, and effective software security technique Topics include common vulnerabilities, access control, information leakage, logging, usability, risk analysis, testing, design principles, security policies, and privacy. Project required. Typically offered in Spring only CSC 517/ECE 517 Object-Oriented Design and Development (3 credit hours) The design of object-oriented systems, using principles such as the GRASP principles, and methodologies such as CRC cards and the Unified Modeling Language (ULM). Requirements analysis. Design patterns Agile Methods. Static vs. dynamic typing. Metaprogramming. Open-source development practices and tools. Test-first development. Project required, involving contributions to an open-source software project. Typically offered in Fall and Spring

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 510 CSC 326 or ECE 309

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

hours) Modern software development organizations require entire teams of DevOps to automate and maintain software engineering processes and infrastructure vital to the organization. In this course, you will gain practical exposure to the skills, tools, and knowledge needed in automating software engineering processes and infrastructure. Students will have the chance to build new or extend existing software engineering tools and design a DevOps pipeline. 3.0 GPA) and good knowledge of at least one high level programming language Typically offered in Fall and Spring

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 510 or (graduate or senior standing with at least a

Introduction to and overview of artificial intelligence. Study of AI programming language such as LISP or PROLOG. Elements of AI problem-solving technique. State spaces and search techniques. Logic, theorem proving and associative databases. Introduction to knowledge representation, expert systems and selected topics including natural language processing, vision and robotics. background in symbolic logic Typically offered in Fall and Spring 2026-2027 Undergraduate Catalog 2059 CSC 522/CSC 422 Automated Learning and Data Analysis (3 credit g hours) This course provides an introduction to concepts and methods for s. extracting knowledge or other useful forms of information from data. This activity, also known under names including data mining, knowledge discovery, and exploratory data analysis, plays an important role in modern science, engineering, medicine, business, and government. Students will apply supervised and unsupervised automated learning methods to extract patterns, make predictions and identify groups from data. Students will also learn about the overall process of data collection and analysis that provides the setting for knowledge discovery, and concomitant issues of privacy and security. Examples and projects introduce the students to application areas including electronic commerce, information security, biology, and medicine. Students cannot get credit for both CSC 422 and CSC 522. Typically offered in Fall and Spring CSC 525/ECE 425/CSC 425/ECE 525 Neural Networks and Deep Learning (3 credit hours) Techniques for the design of neural networks for machine learning. An introduction to deep learning. Emphasis on theoretical and practical aspects including implementations using state-of-the-art software libraries. as Python) and ECE 220 or MA 305 or MA 405 or equivalent and MA 242 or equivalent and ST 370 or ST 371 or equivalent Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

CSC 316 and either CSC 226 or LOG 201 or LOG 335 or CSC 226 or LOG 201, ST 370, MA 305 or MA 405 Programming experience (an object-oriented language such

CSC/ECE 547 Cloud Computing Technology

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

In this course, students read and discuss research papers about deep neural networks with a focus on not just accuracy but also resource consideration e.g., FLOPs, parameter counts, time, memory, etc. With that interest, papers about techniques to design an efficient neural network architecture, such as structured/unstructured pruning, knowledge distillation, and quantization, will be read. On top of that, other dimensional metrics of machine learning, such as trustworthiness/ robustness, fairness, or privacy, will also be explored. This course includes lectures, paper readings, presentations, and discussions. Students will conduct one term project and take no exam. Students are expected to have implementation experiences on (deep) neural networks, read/present/discuss ideas from research papers, and conduct a term project and submit a term paper. Typically offered in Fall and Spring

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

Graduate Standing

hours) Computer algorithms supporting genomic research: DNA sequence comparison and assembly, hybridization mapping, phylogenetic reconstruction, genome rearrangement, protein folding and threading. Typically offered in Fall only This course is offered alternate odd years

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

CSC 316, Corequisite: CSC 505

Privacy is a growing concern in our modern society. We interact and share our personal information with a wide variety of organizations, including financial and healthcare institutions, web service providers and social networks. Many times such personal information is inappropriately collected, used or shared, often without our awareness. This course introduces privacy in a broad sense, with the aim of providing students an overview of the challenging and emerging research topics in privacy. This course will expose students to many of the issues that privacy engineers, program managers, researchers and designers deal with in industry. ST 370 is recommended but not mandatory. Typically offered in Fall only CSC 534/CSC 434 Human-Centered Security (3 credit hours) This computer security course introduces the concepts and methods of human-centered cybersecurity, including the subfield of usable security. The field studies how people understand and use security technologies, with the goal of making systems more usable and effective. The course covers how human interaction shapes the design and evaluation of security systems, introduces research foundations such as the planning and analysis of studies from design through execution with attention to research methods and ethical considerations, and introduces students to both classical work and recent advances in human-centered security research. Typically offered in Spring only This course is offered alternate years

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 316 CSC 316 and 14CSCBS Majors

This class will: explore several aspects of security research with the goal of understanding the attacker's mindset; help the students to develop a foundation and a well-rounded view of security research; and cover some of the state-of-the-art attack/defense techniques and ongoing research activities in a number of topics in software security, web security, privacy and network security. Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 246 and CSC 401 or equivalent

hours) Advanced database concepts. Logical organization of databases: the entity-relationship model; the relational data model and its languages. Functional dependencies and normal forms. Design, implementation, and optimization of query languages; security and integrity, consurrency control, transaction processing, and distributed database systems. Typically offered in Fall and Spring

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

CSC 316

CSC(IE) 546 Management Decision and Control Systems

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Basic concepts of parallel computation; parallel programming models and algorithm design; load balancing and performance optimization; parallel I/0 and high-end storage systems; high performance parallel applications. Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

CSC 246 or CSC 451 or CSC 501

with Machine Learning (3 credit hours) This class prepares you to understand research challenges in autonomous driving. The delivery of the material will be split between lectures and research papers, the latter being presented by students. g You will be introduced to a selection of fundamental concepts from embedded, real-time systems and machine learning. In parallel, students will participate in presenting research papers on topics related to and advancing on the fundamental concepts of autonomous driving. Typically offered in Spring only

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

Graduate Standing

CSC(IE) 556 Voice Input/Output Communication Systems

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Intelligence (3 credit hours) This course surveys the field of social computing, introducing its key concepts, paradigms, and techniques. Specific topics are selected from the following list: social media and social network analytics, sociological underpinnings, crowdsourcing and surveys, human computation, social mobilization, human decision making, voting theory, judgment aggregation, prediction markets, economic mechanisms, incentives, organizational modeling, argumentation, contracts, norms, mobility and social context, sociotechnical systems, and software engineering with and for social computing. This course incorporates ideas from diverse disciplines (including sociology, psychology, law, economics, political science, logic, statistics, philosophy, business) to provide essential background for future computer science careers in industry and research. Typically offered in Fall only CSC 560/MA 560 Numerical Analysis I (3 credit hours) This course provides a rigorous introduction to fundamentals of numerical analysis, with emphasis on discrete approximations and their properties: Errors in numerical computations, approximation and interpolation, root finding, numerical quadratures, introduction to numerical solution of ordinary differential equations. programming experience is helpful but not essential Typically offered in Fall only

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

MA 405 and (MA 425 or MA 511 or equivalent);

CSC/ECE 573 Internet Protocols

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Fundamentals of the OpenGL API. 2D and 3D transformations, perspective and orthographic projection, and the mathematical foundations that underlie these concepts. Geometric primitives, clipping, depth buffering, scan conversion, and rasterization. Lighting, shadows, and texture mapping. Curves and surfaces. Typically offered in Fall only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC Majors

CSC(MA,OR) 565 Graph Theory CSC(ECE) 570 Computer Networks CSC(ECE) 573 Internetwork Protocols and Architectures

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

The conception and creation of effective visual interfaces for mobile devices, including ideation and prototyping for useful mobile applications, the industry and architecture of mobile devices, mobile usage context, computer graphics and interfaces for mobiles, and mobile programming. Typically offered in Spring only CSC 565/MA 565/OR 565 Graph Theory (3 credit hours) Basic concepts of graph theory. Trees and forests. Vector spaces associated with a graph. Representation of graphs by binary matrices and list structures. Traversability. Connectivity. Matchings and assignment problems. Planar graphs. Colorability. Directed graphs. Applications of graph theory with emphasis on organizing problems in a form suitable for computer solution. Typically offered in Spring only This course is offered alternate even years CSC 567/ECE 467/MA 467/MA 567/ECE 567/CSC 467 Introduction to Quantum Algorithms (3 credit hours) The course will develop some well-known algorithms in quantum computing. Learning about quantum algorithms requires background in linear algebra and quantum gates, and many of our algorithmic insights will come from a signal processing angle. Therefore, we will review linear algebra, signal processing, and quantum gates. (Some students will not have all the background, in which case they should be willing to work somewhat harder during the first half of the course as we review these concepts. Specifically, students are expected to have encountered Fourier transforms in past coursework, but a review will be provided for those less familiar with the topic.) Armed with this background, we will study several quantum algorithms based on the quantum Hadamard and Fourier transforms, which connect to signal processing. Grover's unstructured quantum search algorithm will also be covered. Restriction: Much of the background will be covered during the first half of the course. Students who are unsure about their linear algebra and signal processing background can consult with the instructor Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 554 or CSC 561 CSC 226 or MA 351.

CSC/ECE 579 Introduction to Computer Performance Modeling 3

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

An introduction to storage systems architecture in an enterprise. Begins with a review of the individual components of a system (eg, hard disk drives, network interfaces), and shows how to aggregate those into storage systems. Tradeoffs involving factors such as cost, complexity, availability, power and performance. Discussion of information management strategies, including data migration. Guest lectures by representatives from local industry. Students work in teams on a semester-long project. Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 246 and CSC 401 and CSC 316

or CSC 573 Internet Protocols

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

CSC/ECE 575 Introduction to Wireless Networking CSC/ECE 576 High Speed Networks

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

CSC 576

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

or ECE 579 Introduction to Computer Performance Modeling

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Subject

CSC

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

CSC(MA) 583 Introduction to Parallel Computing

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

E 531 Dynamic Systems and Multivariable Control I

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Topics of current interest in computer science not covered in existing courses. Typically offered in Fall and Spring

Subject

CSC

Credits (min)

1

Credits (max)

6

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

B average in technical subjects

Application of cybersecurity principles and computer science and engineering to solve a cybersecurity problem. A project with comprehensive written and oral project report is required. Enrollment is open to Graduate Certificate in Cybersecurity (CYS GCP) students and CSC and ECE majors only. Typically offered in Fall only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC/ECE 574

Introduction for new graduate students to (a) information about graduate program, department, and university resources, and (b) research projects e; conducted by CSC faculty. Typically offered in Fall and Spring

Subject

CSC

Credits (min)

1

Credits (max)

1

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Teaching experience under the mentorship of faculty who assist the student in planning for the teaching assignment, observe and provide feedback to the student during the teaching assignment, and evaluate the student upon completion of the assignment. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

1

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

Master's student

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

For students in non thesis master's programs who have completed all other requirements of the degree except preparing for and taking the final master's exam. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

1

Credits (max)

9

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

Master's student

Instruction in research and research under the mentorship of a member of the Graduate Faculty. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

1

Credits (max)

9

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

Master's student

Thesis research. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

1

Credits (max)

9

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

Master's student

For graduate students whose programs of work specify no formal course work during a summer session and who will be devoting full time to thesis research. Typically offered in Summer only

Subject

CSC

Credits (min)

1

Credits (max)

1

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

Master's student

For students who have completed all credit hour requirements and full- time enrollment for the master's degree and are writing and defending their thesis. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

1

Credits (max)

9

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

Master's student

Fundamentals and advanced topics in operating system (OS) security. Study OS level mechanisms and policies in investigating and defending against real-world attacks on computer systems, such as self-propagating worms, stealthy rootkits and large-scale botnets. OS security techniques such as authentication, system call monitoring, as well as memory protection. Introduce recent advanced techniques such as system-level randomization and hardware virtualization. Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 501

hours) Formal models of language and computation; finite automata and regular languages, pushdown automata and context-free languages, Turing machines. Relative power of models, Chomsky hierarchy. Inherent complexity of problems: undecidability, computational complexity, intractable problems. Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

CSC 226 required, CSC 333 recommended

This course addresses the human aspect of software engineering, by studying the people who practice it. Students will explore software engineering as traditionally defined, and also consider techniques that transform how we understand software engineering, such as methods from psychology and sociology. Students will study the usability of software engineering tools, the psychology of programming, performance of software developers, experimental methods in observing software engineers, distributed development and coordination, and cultural differences between software developers. Typically offered in Spring only This course is offered alternate odd years Computer Science (CSC) 15 CSC 711/GIS 711 Geospatial Data Management (3 credit hours) Data management principles and technologies for efficient implementation of geospatial applications. This course introduces students to: spatial and temporal data types, data models, geometry models, spatial predicates, spatial access methods, and spatial query processing. In addition, students will be exposed to modern data management systems for geospatial application development and data integration principles. Prior GIS programming knowledge and knowledge of database management systems and SQL is preferred. Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 510

An advanced introduction to software testing and reliability. The course is a balanced mixture of theory, practice, and application. Methods, techniques, and tools for testing software and producing reliable and secure software are used and analyzed. Software reliability growth models and techniques for improving and predicting software reliability are examined, and their practical use is demonstrated. Good knowledge of C++ or Java. Knowledge of the basics of statistics, calculus, and linear algebra. Typically offered in Fall only This course is offered alternate even years

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

CSC 510

Design and implementation of computer systems required to provide specific response times. Structure of a real-time kernel, fixed and dynamic priority scheduling algorithms, rate monotonic scheduling theory, priority inheritance protocols, real-timebenchmarks, case study of a real- time kernel. Typically offered in Spring only This course is offered alternate years

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

CSC 451 or CSC 501

CSC/ECE 773 Advanced Topics in Internet Protocols CSC/ECE 774 Network Security CSC/ECE 776 Performance Evaluation of Computer Networks CSC/ECE 777 Telecommunications Network Design CSC/ECE 779 Advanced Computer Performance Modeling CSC/ECE 791 Advanced Topics: Optical Networks

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

A second course in artificial intelligence emphasizing advanced concepts of AI including logic programming, automatic programming, natural language understanding, visual perception by machine, learning and inference, intelligent computer-aided instruction, knowledge representation, robotics and other topics to be chosen by instructor. Students asked to write programs in AI programming language such as LISP and PROLOG. Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

CSC 520

A broad range of advanced topics in machine learning, the building of computer-based systems that can adapt to their environment and learn from their own experience. Theory of learnability, technical details of various learning methods, combination of multiple methods, evaluation of methods, and related topics (at the discretion of the instructor). Typically offered in Spring only This course is offered alternate odd years

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 520

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Principles in the design and implementation of modern distributed systems; recent techniques used by real-world distributed systems such as peer-to-peer file sharing, enterprise data center, and internet search engines; state-of-the-art architectures, algorithms, and performance evaluation methodologies in distributed systems. environments Typically offered in Spring only This course is offered alternate odd years

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC 501 or equivalent. Programming in C++ or Java in Unix

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Area 1 IE(CSC) 762 - Computer Simulation Techniques IE(CSC) 441 - Introduction to Simulation

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

CSC(ECE) 748 Parallel Processing

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

CSC(IE) 756 Advances in Voice Input/output Communications Sy

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

CSC(OR,IE) 762 Computer Simulation Techniques

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

E 531 Dynamic Systems and Multivariable Control I

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

CSC(ECE) 773 Advanced Topics in Internet Protocols CSC(ECE) 774 Advanced Network Security CSC(ECE) 775 Advanced Topics in Wireless Networking CSC(ECE) 776 Design and Performance Evaluation of Network Sy CSC(ECE) 777 Telecommunications Network Design CSC(ECE) 778 Optical Networks CSC(ECE) 779 Advanced Computer Performance Modeling CSC(MA) 780 Numerical Analysis II CSC(MA) 783 Parallel Algorithms and Scientific Computation

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Principles of network and service continuity and related metrics; the theory of network availability, survivability, and restoration; a comprehensive coverage of network architectures, protocols, algorithms, and related technology for survivability; advanced topics in network survivability; hands-on experience in the implementation of protocols and software for survivable systems and the operation of survivable networks. Typically offered in Spring only CSC 773/ECE 773 Advanced Topics in Internet Protocols (3 credit hours) , Cutting-edge concepts and technologies to support internetworking in general and to optimize the performance of the TCP/IP protocol suite in particular. Challenges facing and likely evolution for next generation intenetworking technologies. This course investigates topics that include, but may be not limited to: Internet traffic measurement, characteriztion and modeling, traffic engineering, network-aware applications, quality of service, peer-to-peer systems, content-distribution networks, sensor networks, reliable multicast, and congestion control. Typically offered in Spring only

Subject

CSC

Credits (min)

3

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Prerequisite

CSC/ECE 573

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Spring 2005

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Subject

CSC

Type

course

Edition

2026-2027

Source

catalog.ncsu.edu

Advanced topics of current interest in computer science not covered by existing courses. Typically offered in Fall and Spring

Subject

CSC

Credits (min)

1

Credits (max)

6

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Faculty and graduate student research presentations and discussions centered around current research problems in Computer Science and advanced theories in these areas. Students are expected to make presentations of published works and, depending onthe course credit received and their academic degree progress, present their own research results. Critical discussions of the various research approaches and results and their relationships based on the presentations and additional readings and research. Departmental Approval Required. Typically offered in Fall and Spring

Subject

CSC

Credits (min)

1

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

Graduate standing

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Teaching experience under the mentorship of faculty who assist the student in planning for the teaching assignment, observe and provide feedback to the student during the teaching assignment, and evaluate the student upon completion of the assignment. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

1

Credits (max)

3

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

Doctoral student

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Instruction in research and research under the mentorship of a member of the Graduate Faculty. Typically offered in Fall, Spring, and Summer

Subject

CSC

Credits (min)

1

Credits (max)

9

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

Doctoral student

Subject

CSC

Credits (min)

1

Credits (max)

9

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

For graduate students whose programs of work specify no formal course work during a summer session and who will be devoting full time to thesis research. Typically offered in Summer only

Subject

CSC

Credits (min)

1

Credits (max)

1

Credit unit

credit hours

Type

course

Edition

2026-2027

Source

grad.ncsu.edu

Prerequisite

Doctoral student

stems stems and Services

Subject

CSC

Type

course

Edition

2026-2027

Source

grad.ncsu.edu