All Results
Computer ScienceCredits
Study of theory and/or implementation topics related to information assurance and security, such as defensive programming, threats and attacks, network security, cryptography, web security, platform security, security policy and governance, digital forensics, and secure software engineering. Prerequisite: Admission to Major or Permission
Study of theory and/or implementation topics related to computational science such as modeling and simulation, processing, interactive visualization, data, information and knowledge, and numerical analysis. Prerequisite: Admission to Major or Permission
Study of theory and/or implementation topics related to graphics and visualization such as basic and advanced rendering, geometric modeling, computer animation and visualization. Topics include game programming with concentration on 3D graphics including modeling, rendering, and animation for computer games and graphic simulations. Programs are created using a current graphics and game development environment.
- Prerequisites:
- Admission to major or permission.
- Programs:
Study of theory and/or implementation topics related to human computer interaction such as designing interaction, programming interactive systems, user-centered design and testing, new interactive technologies, collaboration & communication, statistical methods for HCI, human factors and security, design-oriented HCI, and mixed, augmented and virtual reality. This course builds on the use of modern compilers. Related topics covered include lexical scanning, parsing, type checking, code generation and translation, optimization, and compile-time and run-time support for modern programming languages.
- Prerequisites:
- Admission to major or permission.
- Programs:
Study of theory and/or implementation topics related to software engineering such as software processes, project management, requirements engineering, software design, construction, verification and validation, reliability, and formal methods. These relate to advanced programming for general-purpose software development. Topics include tools and processes appropriate for employing object-oriented designs and programming within a significant software development environment and advanced data structures and algorithms, graphical user interfaces, and software development processes.
- Prerequisites:
- Admission to major or permission.
- Programs:
Study of topics theory and/or implementation related to the fundamental differences that Platform-Based Development has over traditional software development addressing topics such as Web Platforms, Mobile Platforms, Industrial Platforms, and Game Platforms. Prerequisite: Admission to Major or Permission
- Programs:
Students gain experience working with a team to solve a substantial problem in the field of computer science using concepts that span several topic areas in computer science related to cognitive science. Class time focuses primarily on project design and implementation. Senior standing in the Cognitive Science major with a Computer Science Focus.
- Prerequisites:
- Senior standing and successful completion of all core requirements.
- Graduation Requirements:
- Writing Intensive
- Programs:
The first in a two-semester sequence of capstone design. Students build on the experience gained in CS 391W/392W to bring their research or project implementation and leadership to that expected of contributing computer scientists in industry or research. Course must be taken concurrently with CS 495.
- Prerequisites:
- CS 301, CS 302, CS 303, CS 304, CS 392
The first in a two-semester sequence of capstone design. Students build on the experience gained in CS 391W/392W to bring their research or project implementation and leadership to that expected of contributing computer scientists in industry or research. Course must be taken concurrently with CS 495.
- Prerequisites:
- CS 301, CS 302, CS 303, CS 304, CS 392W
- Graduation Requirements:
- Writing Intensive
- Programs:
The second in a two-semester sequence of capstone design and the fourth project class overall. Students build on the experience gained in CS 391W/392W to bring their research or project implementation and leadership to that expected of contributing computer scientists in industry or research. Expectations include public presentation of project work, patent applications, and/or plan for commercialization of project. Course must be taken concurrently with CS 495.
- Prerequisites:
- CS 491 and (CS 306, CS 401, CS 403, CS 406, CS 410, CS 420, CS 435, CS 440, CS 445, CS 450, CS 465, CS 470, CS 480, or CS 485)
The second in a two-semester sequence of capstone design and the fourth project class overall. Students build on the experience gained in CS 391W/392W to bring their research or project implementation and leadership to that expected of contributing computer scientists in industry or research. Expectations include public presentation of project work, patent applications, and/or plan for commercialization of project. Course must be taken concurrently with CS 495.
- Prerequisites:
- CS 491W and (CS 306, CS 401, CS 403, CS 406, CS 410, CS 420, CS 435, CS 440, CS 445, CS 450, CS 465, CS 470, CS 480, or CS 485)
- Graduation Requirements:
- Writing Intensive
- Programs:
Workshop topics will be announced. Workshops on different topics may be taken for credit.
- Prerequisites:
- Consent of Instructor
Students learn about computer science practice through seminars with faculty, graduate students, undergraduate students admitted to the CS major, visiting researchers, and industry members. CS students are assisted in their development as learners and professional citizens through workshops. This course is repeated by upper-division Computer Science students every semester.
- Prerequisites:
- Admission to major.
- Programs:
Special topics not covered in other courses. May be repeated for credit on each new topic. VariablePrereq: Consent
- Prerequisites:
- Consent
This course is designed to provide students with an opportunity to utilize their training in a real-world environment. Participants work under the guidance and direction of a full-time staff member. (At most 4 hours towards the CS major.)Prereq: Permanent admission to the CS major, CS 300, consent
- Prerequisites:
- Permanent admission to the CS major, CS 300, consent.
Advanced study and research required. Topic of the senior thesis determined jointly by the student and the faculty advisor.Fall, Spring Prereq: Senior standing and consent
- Prerequisites:
- Senior standing and consent
- Graduation Requirements:
- Writing Intensive
- Programs:
Problems in the field of computer science are studied on an individual basis under the guidance of a faculty mentor.Fall, Spring Prereq: Consent
- Prerequisites:
- Consent
Current processes, methods, and tools related to formal methods for modeling and designing software systems. Topics include software architectures, methodologies, model representations, component-based designs, patterns, frameworks, CASE-based designs, and case studies.
This course studies the theoretical underpinnings of modern computer science, focusing on three main models of computation: DFA, PDA, and Turing Machines. Students determine model capabilities and limitations are: what is and is not computable by each of them. Pre: With permission by the instructor.
This course covers High Performance Computing (HPC) techniques used to address problems in Computational Science. Topics include the application areas and basic concepts of parallel computing, hardware design of modern HPC platforms and parallel programming models, methods of measuring and characterizing serial and parallel performance, and computational grid technologies. Pre: With permission by the instructor.
This course provides an advanced understanding of topics covered in COMS 320. The course addresses advanced topics in computer architecture including a major emphasis on measuring and improving computer performance. Topics include advances in pipelining and analysis and optimization of storage systems and networks, multiprocessor challenges and trends. Pre: With permission by the instructor.
This course provides an overview of embedded and real-time systems and their development. Students will design and build a real-time operation system with a microprocessor to host real-time service data processing using sensor/actuator devices. The course covers design principles, methodologies, design tools and problem solving techniques. Pre: With permission by the instructor.
This course offers an overview of the field of Artificial Intelligence (AI). Basic introductory concepts and a history of the field are covered. Emphasis is placed on the knowledge representation and reasoning strategies used for AI problem solving. Solutions are found using the LISP programming language. Pre: With permission by the instructor.
This course presents an overview of the field of computational linguistics. Topics include regular expressions, finite state automata, information theory, context free grammars, hidden Markov models and Viterbi algorithms. Students will work on problems within the field including parsing, machine translation, speech recognition, information extraction and parsing. Pre: With permission by the instructor.
This course offers a blended view of computer science, information science, and statistics for storing, accessing, modeling, and understanding large data sets. Topics include fundamental data mining algorithms: decision trees, classification, regression, association rules, statistical models, neural networks, and support vector machines. Pre: With permission by the instructor.