Updated 2024-2025 Undergraduate Catalog | 20255
Computer Science Courses
CS 1107 Introduction to Computers
(3 credits)
CS 1309 Problem Solving and Computation
(3 credits)
CS 2270 Introduction to Web Programming
(3 credits)
CS 2321 Computer Science I
(4 credits)
CS 2322 Computer Science II
(4 credits)
CS 2750 Introduction to Data Analysis
(3 credits)
CS 2810 Computer Organization and Assembly Language Programming
(3 credits)
CS 3270 Advanced Web Programming
(3 credits)
CS 3350 Event-Driven Programming in a Windows Environment
(3 credits)
CS 3360 Object-Oriented Software Development
(3 credits)
CS 3370 Mobile Application Development
(3 credits)
CS 3380 Game Development
(3 credits)
CS 3507 Introduction to Databases
(3 credits)
CS 3528 Data Structures and Algorithms
(4 credits)
CS 3560 Data Communications and Networks
(3 credits)
CS 3752 Data Mining
(3 credits)
CS 3931 Experimental Course
(3 credits)
CS 4298 Compiler Construction
(3 credits)
CS 4360 Software Engineering
(3 credits)
CS 4390 Social, Ethical, and Professional Issues in Computing
(3 credits)
CS 4410 Digital Image Processing
(3 credits)
CS 4627 Theory of Computation
(3 credits)
CS 4840 Operating Systems
(3 credits)
CS 4910 Directed Independent Study
(3 credits)
CS 4917 DIS Tchg Assoc |
(1-2 credits)
CS 4970 Internship
(3 credits)
CS 2750 Introduction to Data Analysis (3 credits)
This course provides an introduction to the basic concepts of data analysis and machine learning models, methods, and techniques pioneered within the fields of Artificial Intelligence and Statistical Modeling. Topics covered can include any/all of the following: statistics for data analysis, knowledge representation, data clustering, categorization and regression methods, decision trees, perceptions, and neural networks. Some student facility with mathematics and Excel is assumed. Prerequisite(s): CS 1309, or Instructor permission.
Common Course Outline