Courses in Computer Science (CS)

CS 002 - MS Office: Beyond the Basics
Word documents looking dull? Excel charts lacking something? PowerPoint slides fizzling? All this and more is covered. Learn more than just the basics.
Credits: 3.00
CS 005 - Introductory Special Topics
Prerequisite: Instructor permission. Hours variable. May not be taken for credit after any Computer Science course numbered CS 016 or higher.
Credits: 3.00
CS 008 - Intro to Web Site Development
Provides a strong foundation in HTML, CSS, images, beginning web programming, and web design so that the student can create a complete functional web site.
Credits: 3.00
CS 014 - Visual Basic Programming
Introduction to Microsoft's rapid development environment. Create playful and relevant Windows applications.
Credits: 3.00
CS 020 - Programming for Engineers
Introduction to computer programming principles using MATLAB, with applications chosen from civil, electrical, environmental, and mechanical engineering. Co-requisite: MATH 021. Cross-listed with: ENGR 020.
Credits: 3.00
CS 021 - Computer Programming I
Introduction to algorithmic problem solving and computer programming. Designed to provide a foundation for further studies in computer science.
Credits: 4.00
CS 031 - C Programming
Introduction to C programming for those already familiar with another programming language. Variable types, pointers, memory allocation, input/output, math, time, and other library calls. Prerequisite: CS 020 or CS 021.
Credits: 3.00
CS 032 - Puzzles, Games & Algorithms
Introductory computer science through exploration and analysis of mathematical puzzles and games, and the algorithms that handle them.
Credits: 3.00
CS 050 - Seminar for New CS Majors
A fun and accessible breadth-first introduction to the CS community and curricula at UVM. CS faculty serve as guest lecturers to introduce new CS majors to selected topics covered in upper division UVM CS electives. Prerequisites: Computer Science or Computer Science & Information Systems majors who have not yet completed CS 110. Co-requisite: CS 021 or CS 110.
Credits: 1.00
CS 064 - Discrete Structures
Introduction to analytic and formal methods of computer science with practical examples, including analysis or data structures, recursion relations, proof methods, and logic programming. Credit not given for more than one of CS 064, MATH 052 or MATH 054. Prerequisites: CS 020 or CS 021; MATH 021.
Credits: 3.00
CS 095 - Special Topics
See Schedule of Courses for specific titles. Prerequisite: Instructor permission.
Credits: 4.00
CS 110 - Intermediate Programming
Intermediate programming concepts including common data structures, algorithms, style, design, documentation, testing and debugging techniques, and an introduction to object-oriented programming. Prerequisite: One of CS 020 or CS 021 with a grade of C- or better.
Credits: 4.00
CS 120 - Advanced Programming
Build programming maturity and proficiency through significant projects with spiral development, including program specification, design, implementation, debugging, testing, validation, internal and external documentation. Focus on advanced topics including efficiency, profiling, modularity, extensibility, programming paradigms, design patterns, memory management, and generics. Prerequisite: CS 110 with a grade of C- or better.
Credits: 3.00
CS 121 - Computer Organization
Introduction to computer system organization including performance, assembly language, machine-level data representation, arithmetic for computers, processor datapath control, memory, and input/output. Prerequisite: CS 110.
Credits: 3.00
CS 124 - Data Structures & Algorithms
Design and implementation of linear structures, trees and graphs. Examples of common algorithmic paradigms. Theoretical and empirical complexity analysis. Sorting, searching, and basic graph algorithms. Prerequisites: CS 110; CS 064 or or MATH 052.
Credits: 3.00
CS 125 - Computability and Complexity
Formal languages and expressiveness. Turing completeness and Church's Thesis. Decidability and tractability. Complexity classes and theory of NP completeness. Prerequisites: CS 064 or MATH 052. Co-requisite: CS 124.
Credits: 3.00
CS 142 - Advanced Web Design
Advanced web site design, including structure, architecture, compliance, CSS, usability, etc., to help create a pleasing user experience. Prerequisite: CS 008.
Credits: 3.00
CS 148 - Database Design for the Web
Design and implementation of a relational database model using SQL and PHP. Typical project includes creation of ecommerce shopping site. Prerequisites: CS 008 and CS 021.
Credits: 3.00
CS 189 - CS for Geospatial Technologies
Introductory course providing hands-on experience with activities involving programming languages, platforms, and technologies in use by the GIS programmer/developer. Prerequisite: One of CS 020, CS 021, CE 010, GEOG 081, or NR 143.
Credits: 3.00
CS 192 - Service Learning in CS
Service learning experience that benefits the University or the Community under the direction of a CS faculty member. Prerequisite: Instructor permission.
Credits: 3.00
CS 195 - Special Topics
See Schedule of Courses for specific titles. Prerequisite: Instructor permission.
Credits: 6.00
CS 201 - Operating Systems
Supervisory and control software for multiprogrammed computer systems. Processes synchronization, interprocess communication, scheduling, memory management, resource allocation, performance evaluation, object-oriented systems, case studies. Prerequisites: CS 121 and CS 124.
Credits: 3.00
CS 204 - Database Systems
Techniques for processing very large collections of data. Secondary storage. Database design and management. Query languages and optimization. Database recovery. Prerequisite: CS 124.
Credits: 3.00
CS 205 - Software Engineering
Treatment of software engineering problems and principles, including documentation, information hiding, and module interface specification syntax and semantics. Requires participation in a team project. Prerequisite: CS 124.
Credits: 3.00
CS 206 - Evolutionary Robotics
Exploration of the automated design of autonomous machines using evolutionary algorithms. Coursework involves reading of research papers, programming assignments and a final project. Prerequisites: Junior standing and programming experience, or Instructor permission.
Credits: 3.00
CS 222 - Computer Architecture
Architecture of computing systems. Control unit logic, input/output processors and devices, asynchronous processing, concurrency, parallelism, and memory hierarchies. Prerequisite: CS 121.
Credits: 3.00
CS 224 - Algorithm Design & Analysis
Comprehensive study of algorithms including greedy algorithms, divide and conquer, dynamic programming, graph algorithms and network flow. Computational intractability. Approximation, local search and randomization. Prerequisite: CS 124. Pre/Co-requisites: Recommended: CS 125; STAT 143, STAT 151, or CS 128.
Credits: 3.00
CS 225 - Programming Languages
The principles of programming language design and fundamental implementation concepts. Syntax, semantics, and static program analysis for various paradigms. Programming language metatheory, including confluence and type safety. Stack-based implementation and memory management issues. Prerequisites: CS 124, CS 125.
Credits: 3.00
CS 228 - Human-Computer Interaction
The design, implementation and evaluation of user interfaces for computers and other complex, electronic equipment. Includes a significant project. Pre/co-requisites: Programming experience and Junior standing or Instructor permission.
Credits: 3.00
CS 231 - Programming for Bioinformatics
Introductory course on computing (including scripting, database, and statistical analysis) for developing bioinformatics applications. Particular emphasis is given to comparative genomics and systems biology scenarios. Prerequisites: STAT 151, STAT 153 or Instructor permission. Cross-listed with: MMG 231.
Credits: 3.00
CS 232 - Methods in Bioinformatics
This course provides a methodological survey of bioinformatics. Particular emphasis is given to algorithms associated with sequence analysis, comparative genomics, structural biology, and systems biology. Prerequisites: STAT 151, STAT 153, or Instructor permission. Cross-listed with: MMG 232.
Credits: 3.00
CS 243 - Theory of Computation
Reducibility and decidability, recursion theory, time and space complexity, P, NP, NP-completeness, PSPACE, PSPACE-completeness, L and NL, advanced topics in computability and complexity. Prerequisites: CS 124 and CS 125.
Credits: 3.00
CS 251 - Artificial Intelligence
Introduction to methods for realizing intelligent behavior in computers. Knowledge representation, planning, and learning. Selected applications such as natural language understanding and vision. Prerequisites: CS 103 or CS 123; Prerequisites: CS 124; CS 128 or STAT 151 or STAT 143. Cross-listed with: CSYS 251.
Credits: 3.00
CS 254 - Machine Learning
Introduction to machine learning, including supervised and unsupervised learning algorithms, reinforcement learning, and computational learning theory. Prerequisites: CS 128 or STAT 151 or STAT 143; MATH 121; MATH 122 or MATH 124.
Credits: 3.00
CS 256 - Neural Computation
Introduction to artificial neural networks, their computational capabilities and limitations, and the algorithms used to train them. Statistical capacity, convergence theorems, backpropagation, reinforcement learning, generalization. Prerequisites: MATH 122 or MATH 124 or MATH 271; CS 128 or STAT 143 or STAT 151; CS 110. Cross-listed with: STAT 256, CSYS 256.
Credits: 3.00
CS 260 - Parallel Computing
Taxonomy of parallel computers, basic concepts for parallel computing, effectiveness and scalability, parallel algorithms for variety of problems, distributed memory and shared memory paradigms. Prerequisite: CS 124.
Credits: 3.00
CS 265 - Computer Networks
Introduction to the theoretical and pragmatic principles and practices of computer networking. Topics include: local area networks; the Internet; network and world-wide-web application programming. Prerequisites: CS 110; CS 121; STAT 143.
Credits: 3.00
CS 266 - Network Security&Cryptography
Security and secrecy in a networked environment. Cryptography: public and private key. Authentication: trusted agents, tickets. Electronic mail and digital signatures. Privacy and national security. Prerequisite: Prerequisite: CS 124.
Credits: 3.00
CS 274 - Computer Graphics
Graphical representation of two- and three-dimensional objects on color raster displays. Line generation, region filling, geometric transformations, hidden line and surface removal, rendering techniques. Prerequisites: CS 104 or CS 124; MATH 122 or MATH 124 or MATH 271 recommended.
Credits: 3.00
CS 275 - Mobile Apps & Embedded Devices
A projects-based course focused on applications development on wireless and embedded platforms, including iOS, Arduino, and Linux-based devices. Emphasis on C programming and cyber-physical systems software. Prerequisite: CS 124. Pre/Co-requisites: Recommended: CS 148 or CS 204.
Credits: 3.00
CS 283 - Undergraduate Honors Thesis
See description of Honors Thesis Program in the College of EM section of this catalog.
Credits: 3.00
CS 284 - Undergraduate Honors Thesis
See description of Honors Thesis Program in the College of EM section of this catalog.
Credits: 3.00
CS 287 - Data Science I
Data harvesting, cleaning, and summarizing. Working with non-traditional, non-numeric data (social network, natural language textual data, etc.). Scientific visualization using static and interactive "infographics." A practical focus on real datasets, and developing good habits for rigorous and reproducible computational science. Prerequisites: CS 020 or CS 021; STAT 141 or STAT 143 or STAT 211. Pre/Co-requisites: Recommended: CS 110; Math 122 or Math 124. Cross-listed with: STAT 287.
Credits: 3.00
CS 292 - Senior Seminar
Oral presentations that pertain to the ethical practice of computer science in government, industry, and academia. Topics may include computer security, copyright, and patent law. Prerequisite: Senior standing in Computer Science.
Credits: 1.00
CS 294 - Undergraduate Research
Undergraduate student work on individual or small team research projects under the supervision of a faculty member, for which credit is awarded. Offered at department discretion.
Credits: 3.00
CS 295 - Special Topic:Computer Science
See Schedule of Courses for specific titles. Subject will vary from year to year. May be repeated for credit with instructor permission.
Credits: 6.00
CS 302 - Modeling Complex Systems
Integrative breadth-first introduction to computational methods for modeling complex systems;numerical methods, cellular automata, agent-based computing, game theory, genetic algorithms, artificial neural networks, and complex networks. Pre/co-requisites: Computer programming in any language, calculus. (Linear algebra recommended). Cross-listed with: CSYS 302.
Credits: 3.00
CS 332 - Data Mining
Analytical and empirical techniques for analysis of large volumes of data. Topics include association analysis, classification, clustering, pattern discovery in sequential data, and Bayesian networks. Prerequisites: CS 128 or STAT 143 or STAT 151.
Credits: 3.00
CS 352 - Evolutionary Computation
Theory and practice of biologically-inspired search strategies, including genetic algorithms, genetic programming, and evolution strategies. Applications include optimization, parameter estimation, and model identification. Significant project. Students from multiple disciplines encouraged. Pre/co-requisites: Familiarity with programming, probability, and statistics. Cross-listed with: BIOL 352, CSYS 352.
Credits: 3.00
CS 355 - Statistical Pattern Recogntn
Analysis of algorithms used for feature selection, density estimation, and pattern classification, including Bayes classifiers, maximum likelihood, nearest neighbors, kernels, discriminants, neural networks, and clustering. Prerequisite: STAT 241 or STAT 251 or Instructor permission. Cross-listed with: STAT 355, CSYS 355.
Credits: 3.00
CS 381 - Seminar
Presentations by students, faculty, and guest speakers on advanced topics in Computer Science. May be repeated up to three times for credit.
Credits: 1.00
CS 391 - Master's Thesis Research
Credits: 4.00
CS 392 - Master's Project
Prerequisite: Department permission.
Credits: 3.00
CS 394 - Independent Study
Independent readings and investigation under the direction of a faculty member. Prerequisite: Instructor permission.
Credits: 4.00
CS 395 - Special Topics
Subject will vary from year to year. May be repeated for credit with Instructor permission.
Credits: 6.00
CS 491 - Doctoral Dissertation Research
Credit as arranged.
Credits: 6.00