Your feedback has been sent to our team.
3.97
3.13
3.41
Fall 2025
A first course in programming, software development, and computer science. Introduces computing fundamentals and an appreciation for computational thinking. No previous programming experience required. Note: CS 1110, 1111, 1112, 1113, and 1120 provide different approaches to teaching the same core material; students may only receive credit for one of these courses. Students may not enroll if CS 2100 or CS 3140 has been completed.
3.26
2.79
3.44
Fall 2025
Introduces discrete mathematics and proof techniques involving first order predicate logic and induction. Application areas include sets, tuples, functions, relations, and combinatorial problems. Prereq: Must have completed CS 1110 or CS 1111 or CS 1112 or CS 1113 with a grade of C- or better OR successfully completed the CS 1110 or CS 2100 place out test.
4.00
2.50
3.45
Fall 2025
This course is one option in the CS fourth-year thesis track and is the continuation from CS 4970. Under the practicum track, students will take two 3-credit courses, CS 4970 and CS 4971. These courses would form a year-long group-based and project-based practicum class. There would be an actual customer, which could be either internal (the course instructor, other CS professors, etc.) or external (local companies, local non-profits, etc.).Prerequisite: CS 4970
4.14
2.36
3.47
Fall 2025
A first course in programming, software development, and computer science. Introduces computing fundamentals and an appreciation for computational thinking. Prerequisite: Students must have no previous programming experience. Note: CS 1110, 1111, 1112, 1113, and 1120 provide different approaches to teaching the same core material; students may only receive credit for one of these courses. Students may not enroll if CS 2100 or CS 3140 has been completed.
4.00
4.00
3.47
Spring 2025
This course provides an overview of the state of the art in software analysis including static and dynamic analysis techniques and verification and validation. It explores the various ways that the analyses are used to predict software behavior. The applications include inference, symbolic execution, fault localization, model checking, security and performance. The course combines theory with practical implementation and usage. Prerequisites: CS 3240.
3.63
3.75
3.47
Spring 2025
Content varies, depending on instructor interests and the needs of the Department. Taught strictly at the undergraduate level. Prerequisite: Instructor permission; additional specific requirements vary with topics.
3.86
2.42
3.48
Fall 2025
A first course in programming, software development, and computer science. Introduces computing fundamentals and an appreciation for computational thinking. Prerequisite: Students should have some experience with programming. Note: CS 1110, 1111, 1112, 1113, and 1120 provide different approaches to teaching the same core material; students may only receive credit for one of these courses. Students may not enroll if CS 2100 or CS 3140 has been completed.
3.33
3.44
3.48
Fall 2025
Presents the fundamental concepts of programming language design and implementation. Emphasizes language paradigms and implementation issues. Develops working programs in languages representing different language paradigms. Many programs oriented toward language implementation issues. Prerequisite: CS 2150 or (CS 2120 and 3140) with a grade of C- or better
3.22
2.56
3.50
Fall 2025
An introduction to testing for assuring software quality. Covers concepts and techniques for testing software, including testing at the unit, module, subsystem, and system levels; automatic and manual techniques for generating and validating test data; the testing process; static vs. dynamic analysis; functional testing; inspections; testing in specific application domains; and reliability assessment.Prerequisite: CS 2150 or (CS 2100 and CS 2120) with a grade of C- or better
2.51
2.94
3.51
Fall 2025
Human-computer interaction and user-centered design in the context of software engineering. Examines the fundamental principles of human-computer interaction. Includes evaluating a system's usability based on well-defined criteria; user and task analysis, as well as conceptual models and metaphors; the use of prototyping for evaluating design alternatives; and physical design of software user-interfaces, including windows, menus, and commands.Prerequisite: CS 2110 or CS 2100 with a grade of C- or better
No course sections viewed yet.