2022-2023 Course Catalog

Welcome to Virginia Tech! We are excited that you are here planning your time as a Hokie.

View Undergraduate Course Catalog

Computer Science (CS)

CS 1014 - Introduction to Computational Thinking (3 credits) 

An exploration of basic ideas of computational thinking focusing on the perspectives, thought processes, and skills that underlie computational approaches to problem formulation and problem solving. Applications of computational tools to investigate complex, large-scale problems in a variety of knowledge domains. Basic introduction to algorithms and a practical programming language. Examination of the societal and ethical implications of computational systems.

Pathway Concept Area(s): 5F Quant & Comp Thnk Found., 10 Ethical Reasoning 
CS 1044 - Introduction to Programming in C (3 credits) 

Fundamental concepts underlying software solutions of many problems. Structured data, statement sequencing, logic control, input/output, and functions. The course will be taught using a structured approach to programming. Partially duplicates 1344.

CS 1054 - Introduction to Programming in Java (3 credits) 

An introduction to object-oriented programming using the Java language. Fundamental concepts underlying programming and software solutions to many problems. Structured data, statement sequencing, logic control, classes, objects, methods, instantiation of classes, sending messages to objects. The impact of computing on issues of diversity and inclusion.

Pathway Concept Area(s): 5F Quant & Comp Thnk Found., 11 Intercultural&Global Aware. 
CS 1064 - Introduction to Programming in Python (3 credits) 

Introduction to programming in Python contextualized with scientific and engineering problems. Computational problem-solving skills and software solutions in addition to Python language fundamentals. The basics of control flow with loops and conditionals, state tracing and manipulation, simple and complex types, organization of code using functional and object-oriented coding strategies, and data processing. Create, interpret, and debug programs. Ethically debate important issues in computing culture.

Pathway Concept Area(s): 5F Quant & Comp Thnk Found., 10 Ethical Reasoning 
CS 1114 - Introduction to Software Design (3 credits) 

Fundamental concepts of programming from an object-oriented perspective. Basic software engineering principles and programming skills in a programming language that supports the object-oriented paradigm. Simple data types, control structures, array and string data structures, basic algorithms, testing and debugging. A basic model of the computer as an abstract machine. Modeling and problem-solving skills applicable to programming at this level. Partially duplicates 1054, 1124, and 1705.

CS 1604 - Introduction to the Internet (1 credit) 

Introduces the concepts, software, data organization and issues involved with using networked information. Also covers file formats (as applied in networked hypermedia and multimedia sound/video documents), local and global (Internet) network access, electronic mail, transferring files, network news, the World Wide Web, digital libraries, on-line public access catalogs and electronic journals, CD-ROMs and on-line databases, and commercial and other networks. Word processing ability required.

CS 1944 - Computer Science First Year Seminar (1 credit) 

An introduction to academic and career planning for computer science majors.

Prerequisite(s): CS 1114 or CS 2064 or ECE 2514 
CS 2064 - Intermediate Programming in Python (3 credits) 

Advanced uses of control flow and data processing, data structures, computational techniques, object-oriented programming, and modern data science pipelines. Creating, interpreting, and debugging complex programs. Problems and projects contextualized for scientists and engineers. Implementation of Python programs in data science and production environments, production of object-oriented solutions to complex problems, and ethical implications of technological change.

Prerequisite(s): CS 1064 
Pathway Concept Area(s): 5A Quant & Comp Thnk Adv., 10 Ethical Reasoning 
CS 2104 - Introduction to Problem Solving in Computer Science (3 credits) 

This course introduces the student to a broad range of heuristics for solving problems in a range of settings that are relevant to computation. Emphasis on problem-solving techniques that aid programmers and computer scientists. Heuristics for solving problems in the small (classical math and word problems), generating potential solutions to real-life problems encountered in the profession, problem solving through computation, and problem solving in teams.

Prerequisite(s): (MATH 1205 or MATH 1225 or MATH 1526) and (CS 1114 or CS 2064 or ECE 2514) 
CS 2114 - Software Design and Data Structures (3 credits) 

A programming-intensive exploration of software design concepts and implementation techniques. Builds on knowledge of fundamental object-oriented programming. Advanced object-oriented software design, ethics in computing, algorithm development and analysis, and classic data structures. Includes a team-based software project.

Prerequisite(s): CS 1114 or CS 2064 
Pathway Concept Area(s): 6D Critique & Prac in Design, 10 Ethical Reasoning 
CS 2144 - Competitive Problem Solving I (3 credits) 

Fundamentals of algorithms, data structures, and implementation techniques, taught in a setting that combines collaborative practice with competitive exercise. Students practice to solve problems using a computer, which are judged by automated evaluation software for correctness and efficiency. Practice with data structures including arrays, lists, maps, and trees, as well as algorithmic strategies including recursion, divide-and-conquer, dynamic programming, search and traversal algorithms, graph representations, and computational geometry. Macro- and micro optimization techniques to improve efficiency are emphasized.

Prerequisite(s): CS 1114 
CS 2164 - Foundations of Contemporary Security Environments (3 credits) 

Introduction to multiple analytical perspectives on contemporary security environments, including political, legal, ethical, technical, environmental and historical and cultural perspectives relative to the conception, design and implementation of security solutions, practices, and policies. Emphasizes applying and analyzing the effectiveness of diverse procedures, tools and policies used in security and privacy solutions, decision-making, risk management and operational policy to mitigate local, national, international and global threats.

Pathway Concept Area(s): 3 Reasoning in Social Sciences, 5F Quant & Comp Thnk Found., 11 Intercultural&Global Aware. 
Cross-listed: BIT 2164, PSCI 2164 
CS 2304 - Topics in Programming Systems (1 credit) 

Guided self-study in a specific programming system, its syntax and applications. Based on prior knowledge of the programming process and experience in programming with some high-level language. Systems include JavaScript, C++, CUDA, Ruby, SQL, FORTRAN, UNIX, etc. May be taken three times for credit with different system each time. May be taken only twice for CS major or minor credit.

Prerequisite(s): CS 2114 
CS 2505 - Introduction to Computer Organization (3 credits) 

An introduction to the design and operation of digital computers. Works up from the logic gate level to combinational and sequential circuits, information representation, computer arithmetic, arithmetic/logic units, control unit design, basic computer organization, relationships between high level programming languages and instruction set architectures. A grade of C or better is required in CS prerequisite. Corequisites: MATH 2534 or MATH 3034.

Prerequisite(s): CS 2114 
CS 2506 - Introduction to Computer Organization (3 credits) 

An introduction to the design and operation of digital computers. Instruction formats and construction, addressing modes, instruction execution, memory hierarchy operation and performance, pipelining, input/output, and the relationships between high level programming languages and machine language. A grade of C or better is required in CS pre-requisite 2505 and 2114.

Prerequisite(s): (CS 2114 or ECE 3514) and (CS 2505 or ECE 2564) and (MATH 2534 or MATH 3034) 
CS 2964 - Field Study (1-19 credits) 
CS 2974 - Independent Study (1-19 credits) 
CS 2984 - Special Study (1-19 credits) 
CS 2984E - Special Study (1-19 credits) 
Pathway Concept Area(s): 5A Quant & Comp Thnk Adv. 
CS 3114 - Data Structures and Algorithms (3 credits) 

Advanced data structures and analysis of data structure and algorithm performance. Sorting, searching, hashing, and advanced tree structures and algorithms. File system organization and access methods. Ethical issues in the context of data analysis and software performance. Course projects require advanced problem-solving, design, and implementation skills.

Prerequisite(s): (CS 2114 or ECE 3514) and (CS 2505 or ECE 2564) and (MATH 2534 or MATH 3034) 
Pathway Concept Area(s): 5A Quant & Comp Thnk Adv., 10 Ethical Reasoning 
CS 3214 - Computer Systems (3 credits) 

Introduction to computer systems as they are relevant to application programmers today, with emphasis on operating system principles. Operating system design and architectures; processes; threads, synchronization techniques, deadlock; CPU scheduling; system call interfaces, system level I/O and file management; shell programming; separate compilation, loading and linking; inter-process communication (IPC); virtual and physical memory management and garbage collection; network protocols and programming; virtualization; performance analysis and optimization. A grade of C or better is required in CS pre-requisites 2506 and 2114.

Prerequisite(s): (CS 2506 and CS 2114) or (ECE 2564 and ECE 3574) 
CS 3274 - Software Reverse Engineering (3 credits) 

Theory and practice of software reverse engineering, static and dynamic analysis techniques and tools, reverse engineering of malware, obfuscated binaries, communications and command and control analysis, reverse engineering of non-binary software.

Prerequisite(s): (CS 2114 and CS 2506) or (ECE 2534 and ECE 2574) 
CS 3304 - Comparative Languages (3 credits) 

This course in programming language constructs emphasizes the run-time behavior of programs. The languages are studied from two points of view: (1) the fundamental elements of languages and their inclusion in commercially available systems; and (2) the differences between implementations of common elements in languages. A grade of C or better required in CS prerequisite 3114.

Prerequisite(s): CS 3114 
CS 3314 - Programming Language Theory and Practice (3 credits) 

Theoretical basis of programming languages, including formal languages, computability theory, type theory, and programming language design. Standard syntax notations. Fundamental programming language features for control flow and data representation. Language implementation strategies. Unsolvable problems in the context of programming languages and computing.

Prerequisite(s): CS 3114 
CS 3414 - Numerical Methods (3 credits) 

Computational methods for numerical solution of non-linear equations, differential equations, approximations, iterations, methods of least squares, and other topics. A grade of C or better required in CS prerequisite 1044 or 1705. A student can earn credit for at most one of 3414 and MATH 4404.

Prerequisite(s): (CS 1044 or CS 1705 or CS 1114 or CS 1124) and MATH 2406H or (CMDA 2005 and CMDA 2006) or (MATH 2214 or MATH 2214H) and (MATH 2204H or MATH 2204) 
Cross-listed: MATH 3414 
CS 3604 - Professionalism in Computing (3 credits) 

Studies the ethical, social, and professional concerns of the computer science field. Covers the social impact of the computer, implications and effects of computers on society, and the responsibilities of computer professionals in directing the emerging technology. The topics are studied through case studies of reliable, risk-free technologies, and systems that provide user friendly processes. Specific studies are augmented by an overview of the history of computing, interaction with industrial partners and computing professionals, and attention to the legal and ethical responsibilities of professionals. This is a web-supported course, incorporating writing intensive exercises, making extensive use of active learning technologies. A grade of C or better required in CS prerequisite 3114.

Prerequisite(s): CS 1944 and CS 2114 and (COMM 2004 or COMM 2014) 
CS 3634 - Computer Science Foundations for Computational Modeling and Data Analytics (3 credits) 

Survey of computer science concepts and tools that enable computational science and data analytics. Data structure design and implementation. Analysis of data structure and algorithm performance. Introduction to high-performance computer architectures and parallel computation. Basic operating systems concepts that influence the performance of large-scale computational modeling and data analytics. Software development and software tools for computational modeling. Not for CS major credit.

Prerequisite(s): CS 2114 
Cross-listed: CMDA 3634 
CS 3654 - Introductory Data Analytics and Visualization (3 credits) 

Basic principles and techniques in data analytics; methods for the collection of, storing, accessing, and manipulating standard-size and large datasets; data visualization; and identifying sources of bias.

Prerequisite(s): (CS 1114 or CS 1044 or CS 1054 or CS 1064) and (MATH 2224 or MATH 2224H or MATH 2204 or MATH 2204H or MATH 2406H or CMDA 2005) and (STAT 3006 or STAT 4105 or STAT 4705 or STAT 4714 or CMDA 2006) 
Cross-listed: CMDA 3654, STAT 3654 
CS 3704 - Intermediate Software Design and Engineering (3 credits) 

Explores the principles of software design in detail, with an emphasis on software engineering aspects. Includes exposure of software lifecycle activities including design, coding, testing, debugging, and maintenance, highlighting how design affects these activities. Peer reviews, designing for software reuse, CASE tools, and writing software to specifications are also covered. A grade of C or better required in CS prerequisite 3114.

Prerequisite(s): CS 3114 
CS 3714 - Mobile Software Development (3 credits) 

Technologies and concepts underlying software development for mobile devices (handheld computers). Mobile computing platforms, including architecture, operating system, and programming environment. Software design patterns and structuring for mobile applications. Network-centric mobile software development. Data persistence. Programming for mobile device components such as cameras, recorders, accelerometer, gyroscope and antennas. Location-aware software development. A grade of C or better required in CS prerequisite.

Prerequisite(s): CS 2114 
CS 3724 - Introduction to Human-Computer Interaction (3 credits) 

Survey of human-computer interaction concepts, theory, and practice. Basic components of human-computer interaction. Interdisciplinary underpinnings. Informed and critical evaluation of computer-based technology. User-oriented perspective, rather than system-oriented, with two thrusts: human (cognitive, social) and technological (input/output, interactions styles, devices). Design guidelines, evaluation methods, participatory design, communication between users and system developers. A grade of C or better required in CS prerequisite 2114.

Prerequisite(s): CS 1114 or CS 1044 or CS 1054 or CS 1064 
CS 3744 - Introduction to GUI Programming and Graphics (3 credits) 

Design and implementation of object-oriented graphical user interfaces (GUI) and two-dimensional computer graphics systems. Implementation methodologies including callbacks, handlers, event listeners, design patterns, layout managers, and architectural models. Mathematical foundations of computer graphics applied to fundamental algorithms for clipping, scan conversion, affine and convex linear transformations, projections, viewing, structuring, and modeling. A grade of C or better is required in CS pre-requisite 2114.

Prerequisite(s): CS 2114 and (MATH 1114 or MATH 1114H or MATH 2114 or MATH 2114H) and (MATH 1224 or MATH 1224H or MATH 2204 or MATH 2204H) 
CS 3754 - Cloud Software Development (3 credits) 

Fundamentals of cloud software development, including design patterns, application programming interfaces, and underlying middleware technologies. Development of distributed multi-tiered enterprise software applications that run on a server computer and are accessed using a web browser over the Internet on a network-connected computer such as desktop, laptop, or handheld computer (tablet, smartphone, or mobile device. A grade of C or better is required in prerequisite.

Prerequisite(s): CS 2114 
CS 3824 - Introduction to Computational Biology and Bioinformatics (3 credits) 

Introduction to computational biology and bioinformatics (CBB) through hands-on learning experiences. Emphasis on problem solving in CBB. Breadth of topics covering structural bioinformatics; modeling and simulation of biological networks; computational sequence analysis; algorithms for reconstructing phylogenies; computational systems biology; and data mining algorithms. Pre-requisite: Grade of C or better in CS 3114.

Prerequisite(s): CS 3114 
CS 3984 - Special Study (1-19 credits) 
CS 4104 - Data and Algorithm Analysis (3 credits) 

Data structures and algorithms from an analytical perspective. Theoretical analysis of algorithm efficiency. Comparing algorithms with respect to space and run-time requirements. Analytical methods for describing theoretical and practical bounds on performance. Constraints affecting problem solvability. A grade of C or better is required in CS prerequisite 3114.

Prerequisite(s): CS 3114 and (MATH 3034 or MATH 3134) 
CS 4114 - Introduction to Formal Languages and Automata Theory (3 credits) 

The course presents a study of formal languages and the correspondence between language classes and the automata that recognize them. Formal definitions of grammars and acceptors, deterministic and nondeterministic systems, grammar ambiguity, finite state and push-down automata, and normal forms will be discussed.

Prerequisite(s): MATH 3134 or MATH 3034 
CS 4124 - Theory of Computation (3 credits) 

Theoretical analysis of the computational process; fundamental concepts such as abstract programs, classes of computational machines and their equivalence, recursive function theory, unsolvable problems, Churchs thesis, Kleenes theorem, program equivalence, and generability, acceptability, decidability will be covered.

Prerequisite(s): MATH 3134 or MATH 3034 
CS 4134 - Quantum Computation and Information Processing (3 credits) 

Quantum states and quantum phenomena. Quantum communication concepts such as superdense coding, teleportation, and complexity. Classical and quantum circuits and gate sets for computation. Quantum algorithms and comparison to classical algorithms. Quantum computational complexity theory and complexity classes. Quantum information concepts such as density operators, measurements, and quantum channels. Error correction, the stabilizer formalism, and fault-tolerance. The adiabatic theorem and adiabatic quantum computation. Entanglement and entanglement measures.

Prerequisite(s): MATH 2114 or MATH 2114H 
CS 4144 - Competitive Problem Solving II (3 credits) 

Deeper treatment of advanced algorithms, data structures, and implementation techniques, taught in a setting that combines collaborative practice with competitive exercise. Students practice to solve problems using a computer, which are judged by automated evaluation software for correctness and efficiency. Practice with advanced searching and graph algorithms, advanced dynamic programming, linear programming techniques, computational geometry, and numerical algorithms. Problems are drawn from multiple areas in computer science. Macro- and micro optimization techniques to improve efficiency are emphasized.

Prerequisite(s): CS 2114 and CS 2144 
CS 4164 - Future of Security: Integrative Solutions for Complex Security Systems (3 credits) 

Identification and analysis of complex, real-world security problems and threats to people, organizations, and nations across multiple domains, roles and future scenarios. Crisis communication, decision making tools, ethical principles and problem-solving methods to respond, assess options, plan, scope, and communicate before, during and after conflicts, disasters and attacks. Use of an experiential learning facility, and participation in a reality-based team simulation of cascading security and disaster events.

Prerequisite(s): PSCI 2164 or BIT 2164 or CS 2164 
Pathway Concept Area(s): 1A Discourse Advanced, 10 Ethical Reasoning 
Cross-listed: BIT 4164, PSCI 4164 
CS 4204 - Computer Graphics (3 credits) 

Hardware and software techniques for the display of graphical information. 2D and 3D geometry and transformations, clipping and windowing, software systems. Interactive graphics, shading, hidden surface elimination, perspective depth. Modeling and realism. A grade of C or better required in CS prerequisite 3114 and 3744.

Prerequisite(s): CS 3114 and CS 3744 
CS 4214 - Simulation and Modeling (3 credits) 

Overview of discrete-event digital computer simulation and modeling. Fundamentals of model development, Monte Carlo simulation, the life cycle of a simulation study, input and output data analysis, world views and time control, random number and variate generation, credibility assessment of simulation results, simulation languages, applications of simulation using the General Purpose Simulation System (GPSS). A grade of C or better required in CS prerequisite 2114.

Prerequisite(s): CS 2114 
CS 4224 - Linux Kernel Programming (3 credits) 

Design and internal organization of the Linux operating system kernel. Kernel subsystems, boot process, memory management, process and thread model, scheduling, interrupt and exception handling, virtual file system and the concrete file system, block I/O and I/O scheduler, network stack, and device drivers. Modification of existing kernel code. Design, implementation, test and evaluation of new kernel modules. Kernel and full software stack debugging techniques, and virtualization as an aid for operating system development and debug. Software engineering techniques to analyze, modify and run a large, complex open-source code base.

Prerequisite(s): ECE 3574 or CS 3114 
Cross-listed: ECE 4414 
CS 4234 - Parallel Computation (3 credits) 

Survey of parallel computer architectures, models of parallel computation, and interconnection networks. Parallel algorithm development and analysis. Programming paradigms and languages for parallel computation. Example applications. Performance measurement and evaluation. A grade of C or better required in CS prerequisite 3214.

Prerequisite(s): CS 3214 
CS 4244 - Internet Software Development (3 credits) 

Key technology underlying the World-Wide Web. Web architecture, including client and server design, network protocols, and related standards. Static and dynamic content, caching, state management, fault tolerance, error handling. Programming systems and abstractions, e.g., sockets, remote procedures, Web services, frameworks and component models. Document representations and processing. Security. Entrepreneurial issues and emerging technologies. A grade of C or better required in CS 3214 prerequisite.

Prerequisite(s): CS 3214 
CS 4254 - Computer Network Architecture and Programming (3 credits) 

Introduction to computer network architecture, and methods for programming network services and applications (e.g. DNS, Email and MIME, http, SNMP, multimedia). Wired, wireless, and satellite network architectures. OSI protocol model, with an emphasis on upper layers. Congestion control, quality of service, routing. Internet protocol suite (e.g. IP, TCP, ARP, RARP). Server design (e.g. connectionless, concurrent). Network programming abstractions (e.g. XDR, remote procedure calls, sockets, DCOM). Case studies (e.g. TELNET). A grade of C or better required in CS prerequisite 3214.

Prerequisite(s): CS 3214 
CS 4264 - Principles of Computer Security (3 credits) 

Survey of computer problems and fundamental computer security design principles and models for software systems. Cryptographic models and methods. Modern cyber security techniques for robust computer operating systems, software, web applications, large-scale networks and data protection. Privacy models and techniques. Contemporary computer and network security examples. A grade of C or better is required in prerequisites.

Prerequisite(s): CS 3214 or (ECE 2500 and ECE 3574) 
CS 4274 - Secure Computing Capstone (3 credits) 

Advanced topics in cybersecurity and secure computing. Threat modeling through identification and analysis of security threats. Reasoning about the efficacy, complexity, cost, and ethical tradeoffs of computer security systems. Team-based approach to solving open-ended computer security problems. Designing, implementing, documenting, and presenting advanced computer systems.

Prerequisite(s): CS 3114 and CS 4264 
CS 4284 - Systems & Networking Capstone (3 credits) 

Advanced topics in computer systems & networking, e.g. distributed and parallel processing, emerging architectures, novel systems management & networking design, fault- tolerance, and robust and secure data management. Team- based approach to solving open-ended computer systems & networking problems. Designing, implementing and documenting advanced computer/networking systems. A grade of C or better required in CS prerequisites.

Prerequisite(s): CS 3114 and CS 3214 
CS 4304 - Compiler Design and Implementation (3 credits) 

This course includes the theory, the design, and the implementation of a large language translator system. Lexical analysis, syntactic analysis, code generation, and optimization are emphasized. A grade of C or better required in CS prerequisite 3214.

Prerequisite(s): CS 3214 
CS 4414 - Issues in Scientific Computing (3 credits) 

Theory and techniques of modern computational mathematics, computing environments, computational linear algebra, optimization, approximation, parameter identification, finite difference and finite element methods and symbolic computation. Project-oriented course; modeling and analysis of physical systems using state-of-the-art software and packaged subroutines.

Prerequisite(s): (MATH 2214 or MATH 2214H or MATH 2406H or CMDA 2006) and MATH 3214 and (CS 2114 or MATH 3054) 
Cross-listed: MATH 4414 
CS 4504 - Computer Organization (3 credits) 

Overview of the structure, elements and analysis of modern enterprise computers. Performance evaluation of commercial computing. Past and emerging technology trends. Impact of parallelism at multiple levels of computer architecture. Memory and storage. Fundamental computer system descriptions, Amdahls Law, Flynns Taxonomy. A grade of C or better required in prerequisites.

Prerequisite(s): ECE 2500 or CS 3214 or ECE 3504 
Cross-listed: ECE 4504 
CS 4570 - Wireless Networks and Mobile Systems (3 credits) 

Multidisciplinary, project-oriented design course that considers aspects of wireless and mobile systems including wireless networks and link protocols, mobile networking including support for the Internet Protocol suite, mobile middleware, and mobile applications. Students complete multiple experiments and design projects.

Prerequisite(s): CS 4254 or ECE 4564 
Cross-listed: ECE 4570 
CS 4604 - Introduction to Data Base Management Systems (3 credits) 

Emphasis on introduction of the basic data base models, corresponding logical and physical data structures, comparisons of models, logical data design, and data base usage. Terminology, historical evolution, relationships, implementation, data base personnel, future trends, applications, performance considerations, data integrity. Senior standing required. A grade of C or better required in CS prerequisite 3114.

Prerequisite(s): CS 3114 
CS 4624 - Multimedia, Hypertext and Information Access (3 credits) 

Introduces the architectures, concepts, data, hardware, methods, models, software, standards, structures, technologies, and issues involved with: networked multimedia information and systems, hypertext and hypermedia, networked information videoconferencing, authoring/electronic publishing, and information access. Coverage includes how to capture, represent, link, store, compress, browse, search, retrieve, manipulate, interact with, synchronize, perform, and present: text, drawings, still images, animations, audio, video, and their combinations (including in digital libraries).

Prerequisite(s): CS 3114 
CS 4634 - Design Of Information (3 credits) 

Survey of the higher-order properties that allow data to become information, that is, to inform people. The course focuses on the analysis of user needs, user comprehension and local semantics; the design of information organization; and the design of information display appropriate to use and setting. A grade of C or better is required in CS prerequisites 3114 and 3724.

Prerequisite(s): CS 3114 and CS 3724 
CS 4644 - Creative Computing Studio (3 credits) 

Capstone computer science course at the intersection of arts and technology. Intensive immersion in different approaches to digital arts such as game design, interactive art, digital music, and immersive virtual reality. Students work in teams to conduct an end-to-end integrative design project. A grade of C or better is required in prerequisite CS 3724.

Prerequisite(s): CS 3724 
CS 4654 - Intermediate Data Analytics and Machine Learning (3 credits) 

A technical analytics course. Covers supervised and unsupervised learning strategies, including regression, generalized linear models, regulations, dimension reduction methods, tree-based methods for classification, and clustering. Upper-level analytical methods shown in practice: e.g., advanced naive Bayes and neural networks.

Prerequisite(s): (STAT 3654 or CMDA 3654 or CS 3654) and (CMDA 2006 or STAT 3104 or STAT 4106 or STAT 4706) 
Cross-listed: CMDA 4654, STAT 4654 
CS 4664 - Data-Centric Computing Capstone (3 credits) 

Advanced, project-based course on deriving valuable insights from real-world data collected from a variety of sources. Team-based end-to-end projects explore the entire data science workflow: problem statement, formulating the research questions, collecting preparing and cleaning data, alternating between analyzing data and interpreting results, and synthesizing results into a written report and an interactive executable codebase.

Prerequisite(s): CS 3114 and CS 3654 or CMDA 3654 or STAT 3654 
CS 4704 - Software Engineering Capstone (3 credits) 

Senior project course integrating software engineering knowledge and skills acquired in previous courses. Team- based approach to problem formulation, requirements engineering, architecture, design, implementation, integration, documentation and delivery of software system that solves a real-world problem. Pre: A grade of C or better in CS 3704.

Prerequisite(s): CS 3704 or CS 3714 or CS 3754 
CS 4774 - Human-Computer Interaction Design Experience (3 credits) 

Project-based design course in human-computer interaction. Team-based, end-to-end, integrative interface design project drawn from interdisciplinary areas of student expertise, e.g., virtual reality, augmented reality, embodied cognition, visualization, semiotic engineering, game design, personal information management, mobile computing, design tools, educational technology, and digital democracy. Not for CS major credit. Senior standing.

Prerequisite(s): CS 3724 and (HIST 2604 or SOC 2604 or STS 2604) and COMM 2084 
CS 4784 - Human-Computer Interaction Capstone (3 credits) 

Advanced, project-based course in Human-Computer Interaction. Team-based, end-to-end, integrative interface design project drawn from area of expertise in the department, e.g., virtual reality, augmented reality, embodied cognition, visualization, semiotic engineering, game design, personal information management, mobile computing, design tools, educational technology, and digital democracy. Pre-requisite: Senior Standing required. A grade of C or better is required in CS pre-requisite 3724 and 3744

Prerequisite(s): CS 3724 and CS 3744 
CS 4804 - Introduction to Artificial Intelligence (3 credits) 

Overview of the areas of problem solving, game playing, and computer vision. Search trees and/or graphs, game trees, block world vision, syntactic pattern recognition, object matching, natural language, and robotics. Senior standing required. A grade of C or better required in CS prerequisite 3114.

Prerequisite(s): CS 3114 
CS 4824 - Machine Learning (3 credits) 

Algorithms and principles involved in machine learning; focus on perception problems arising in computer vision, natural language processing and robotics; fundamentals of representing uncertainty, learning from data, supervised learning, ensemble methods, unsupervised learning, structured models, learning theory and reinforcement learning; design and analysis of machine perception systems; design and implementation of a technical project applied to real-world datasets (images, text, robotics). A grade of C- or better in prerequisites.

Prerequisite(s): ECE 2574 or CS 2114 and (STAT 4604 or STAT 4705 or STAT 4714) 
Cross-listed: ECE 4424 
CS 4884 - Computational Biology and Bioinformatics Capstone (3 credits) 

Advanced topics in computational biology and bioinformatics (CBB). Team-based approach to solving open-ended problems in CBB. Projects drawn from areas of expertise in the department, e.g., algorithms for CBB, computational models for biological systems, analysis of structure-function relationships in biomolecules, genomic data analysis and data mining, computational genomics, systems biology. Design, implementation, documentation and presentation of solutions. A grade of C or better required in CS prerequisite 3824.

Prerequisite(s): CS 3824 
CS 4944 - Seminar (1 credit) 
Prerequisite(s): CS 3604 
CS 4964 - Field Study (1-19 credits) 
CS 4974 - Independent Study (1-19 credits) 
CS 4984 - Special Study (1-19 credits) 
CS 4994 - Undergraduate Research (1-19 credits)