Course Offerings

Spring 2021

See complete information about these courses in the course offerings database. For more information about a specific course, including course type, schedule and location, click on its title.

Introduction to Robotics

CSCI 250 - Levy, Simon D.

This course combines readings from the contemporary robotics literature with hands-on lab experience building robots (equipment provided) and programming them to do various tasks. The lab experience culminates with a peer-judged competition of robot projects proposed and built during the second half of the term.

Software Engineering through Web Applications

CSCI 335 - Sprenkle, Sara E.

In this course, students learn to develop high-performance software for Web applications using advanced software engineering techniques. The concepts of client-server computing, theories of usable graphical user interfaces, models for Web-based information retrieval and processing, and iterative development are covered.

Human-Computer Interaction

CSCI 339 - Matthews, Elizabeth A. (Liz)

In this course, students learn the basics of Human-Computer Interaction. Students learn to design user studies, conduct user studies ethically, and analyze user feedback with statistics and the programming language R. Concepts covered include analysis of user data, programming in R, user studies, study ethics, UML, user experience design, designing questionnaires, IRB submissions and CITI training, as well as guest lectures in special interest topics.

Winter 2021

See complete information about these courses in the course offerings database. For more information about a specific course, including course type, schedule and location, click on its title.

Fundamentals of Programming I

CSCI 111 - Lu, Kefu

A disciplined approach to programming with Python. Emphasis is on problem-solving methods, algorithm development, and object-oriented concepts. Lectures and formal laboratories.

Fundamentals of Programming I

CSCI 111 - Sprenkle, Sara E.

A disciplined approach to programming with Python. Emphasis is on problem-solving methods, algorithm development, and object-oriented concepts. Lectures and formal laboratories.

Fundamentals of Programming II

CSCI 112 - Watson, Cody A.

A continuation of CSCI 111. Emphasis is on the use and implementation of data structures, introductory algorithm analysis, and object-oriented design and programming with Python. Laboratory course.

Fundamentals of Programming II

CSCI 112 - Matthews, Elizabeth A. (Liz)

A continuation of CSCI 111. Emphasis is on the use and implementation of data structures, introductory algorithm analysis, and object-oriented design and programming with Python. Laboratory course.

Computer Organization

CSCI 210 - Khan, Mohammad T. (Taha)

Multilevel machine organization studied at the levels of digital logic, microprogramming, conventional machine, operating system, and assembly language.

Computer Organization

CSCI 210 - Levy, Simon D.

Multilevel machine organization studied at the levels of digital logic, microprogramming, conventional machine, operating system, and assembly language.

Algorithm Design and Analysis

CSCI 211 - Lu, Kefu

Methods for designing efficient algorithms, including divide-and-conquer, dynamic programming, and greedy algorithms. Analysis of algorithms for correctness and estimating running time and space requirements. Topics include advanced data structures, graph theory, network flow, and computational intractability.

Programming Language Design

CSCI 312 - Levy, Simon D.

Formal language description tools, semantic concepts and syntactic constructs appropriate to diverse applications. Comparison of several high-level languages, such as Haskell, Erlang, Java, and PROLOG, and the implementations of these syntactic and semantic elements. Students also learn several programming paradigms, such as the function-oriented, object-oriented, and logic-oriented.

Artificial Intelligence

CSCI 315 - Watson, Cody A.

Basic concepts of heuristic search, game playing, natural language processing, and intelligent systems, with a focus on writing programs in these areas. Course combines a discussion of philosophical issues with hands-on problem solving.

Computer Networks

CSCI 321 - Khan, Mohammad T. (Taha)

Intended as a first course in communication networks for upper-level students. Covers concepts and protocols underlying modern computer networks. Topics include network architecture and layering, routing and switching, the TCP/IP protocol and network applications. Theory and programming.

Directed Individual Study

CSCI 401 - Sprenkle, Sara E.

Individual conferences. May be repeated for degree credit if the topics are different.

Honors Thesis

CSCI 493 - Levy, Simon D.

Honors Thesis.

Fall 2020

See complete information about these courses in the course offerings database. For more information about a specific course, including course type, schedule and location, click on its title.

Survey of Computer Science

CSCI 101 - Lambert, Kenneth A. (Ken)

An overview of the discipline of computer science achieved through an introductory-level survey of a number of major areas of computer science. Topics include algorithms used for computer solutions of important practical problems, computer programming, digital logic applied to computer circuitry, computer architecture, data representation and organization, Web page basics, computer networks, and theoretical limits of computation. Lectures and formal laboratories.

Fundamentals of Programming I

CSCI 111 - Watson, Cody A.

A disciplined approach to programming with Python. Emphasis is on problem-solving methods, algorithm development, and object-oriented concepts. Lectures and formal laboratories.

Fundamentals of Programming I

CSCI 111 - Lu, Kefu

A disciplined approach to programming with Python. Emphasis is on problem-solving methods, algorithm development, and object-oriented concepts. Lectures and formal laboratories.

Fundamentals of Programming I

CSCI 111 - Matthews, Elizabeth A. (Liz)

A disciplined approach to programming with Python. Emphasis is on problem-solving methods, algorithm development, and object-oriented concepts. Lectures and formal laboratories.

Fundamentals of Programming II

CSCI 112 - Khan, Mohammad T. (Taha)

A continuation of CSCI 111. Emphasis is on the use and implementation of data structures, introductory algorithm analysis, and object-oriented design and programming with Python. Laboratory course.

Software Development

CSCI 209 - Sprenkle, Sara E.

An examination of the theories and design techniques used in software development. Topics include the software life cycle, design patterns, the Unified Modeling Language, unit testing, refactoring, rapid prototyping, and program documentation.

Software Development

CSCI 209 - Levy, Simon D.

An examination of the theories and design techniques used in software development. Topics include the software life cycle, design patterns, the Unified Modeling Language, unit testing, refactoring, rapid prototyping, and program documentation.

Topics in Computer Science

CSCI 297A - Watson, Cody A.

Readings and conferences for a student or students on topics agreed upon by the directing staff. May be repeated for degree credit if the topics are different. A maximum of six credits may be used toward the major requirements. Offered when interest is expressed and departmental resources permit.

Fall 2020, CSCI 297A-01: Topic: An Exploration of Canonical Machine-Learning Methods (3). Prerequisite: CSCI 112. Analyzing and implementing traditional machine learning models to understand the relationships amongst the features of that data. Students learn the process of feature discovery and engineering, in conjunction with statistical algorithms, to "learn" from the data. These algorithms allow for automatically applying complex mathematical calculations over large datasets. Learning from data affords us the ability to identify patterns and make informed decisions without human intervention. We explore regression algorithms, supervised algorithms, naïve Bayes classifiers, unsupervised algorithms, dimensionality reduction, and clustering algorithms. C. Watson.

Theory of Computation

CSCI 313 - Levy, Simon D.

A study of the principles of computer science embodied in formal languages, automata, computability, and computational complexity. Topics include context-free grammars, Turing machines, and the halting problem.

Video Game Design

CSCI 319 - Matthews, Elizabeth A. (Liz)

In this course, students learn to design and program video games using Python and the Pygame module. Concepts covered include video game code organization utilizing object-oriented programming, OOP design patterns, 2D animation, artificial intelligence, and responding to user feedback.

Parallel Computing

CSCI 320 - Lu, Kefu

A survey of parallel computing including hardware, parallel algorithms, and parallel programming. The programming projects emphasize the message-passing paradigm.

Honors Thesis

CSCI 493 - Levy, Simon D.

Honors Thesis.