Computer Science

Computer Science Courses

• •  

  • Code

  • Course

  • Credits

• • MAT 210

  • Discrete Mathematics

  • 4
  An introduction to the mathematical structures used in engineering and computer science. Topics include logic, methods of proof, functions and relations, set theory, number theory, induction and recursion, counting theory, discrete probability, and graph theory and its applications. The Tl-83 (or above) graphing calculator is required. Prerequisite: MAT 113.
  
• • CSI 116

  • Introduction to Programming

  • 3
  This course is designed to provide the background necessary for an understanding of computers and computer languages. Programming assignments introduce the student to methods of problem solving, programming logic, development of algorithms, coding in C, debugging and documenting programs. Topics include an overview of computer organization, simple data structures, and file management.
• • CSI 107

  • C++ Programming

  • 3
  This course is designed as an introduction to C++ programming. Problem solving methods and algorithmic development stressing good programming style and documentation including top down and modular design is emphasized. Prerequisite: CSI 116 (formerly CSI 216 Computer Concepts).
• • CSI 108

  • Advanced C++

  • 3
  This course is designed to provide the student with the advanced object oriented features of C++. It builds upon the knowledge learned in C++ Programming. Prerequisites: CSI 107 and CSI 116 (formerly CSI 216 Computer Concepts).
  
• • CSI 218

  • Data Structures and Algorithms

  • 3
  This course covers common data structures and algorithms for storing and manipulating data using the C++ programming language. Object-oriented programming and design techniques are emphasized for the creation of reusable data structures. Topics include multidimensional arrays, linked lists, recursion, stacks, queues, searching, sorting, hashing, and trees. Prerequisite: CSI 116, CSI 107, CSI 108.
• • CSA 213

  • Database Management

  • 3
  This course is designed to introduce the fundamental process of developing, implementing, and maintaining a database system in order to produce management information. MS Access or other relational database programs will be used. Database programming is also included.
• • CSI 226

  • UNIX with Linux

  • 3
  Introduction to UNIX operating system. Practical explorations of the basics of UNIX system concepts, architecture, and administration. Uses Linux, a PC-compatible clone of UNIX to reinforce shell programming concepts and utilities with real-world applications.
• • CSA 227

  • Website Design

  • 3
  This course will familiarize the student with the capabilities and potential of web design for applications in business, government, communication, and the arts. Hands-on experience will help build an advanced understanding of HTML vocabulary and interface applications using PageMill.
• • CSI 235

  • Computer Architecture

  • 3
  This course deals with the structure and organization of the major hardware components of computers. Topics include basic logic design, CPU construction, and information transfer and control within a computer system. Prerequisite: CSI 116.
• • CSI 242

  • Computer Systems Security

  • 3
  This course introduces student to the concepts of computer and network security with applications. Topics include authentication, securing Web and file transfer applications, cryptography, firewalls and other devices and network topologies. Prerequisite: CSI 217 and CSI 244 or permission of instructor.
• • CSI 244

  • Networking I

  • 3
  Introduction to the concepts, technology, and implementation of computer communication. Topics discussed are distributed systems requirements, network architecture, communications protocols, local and wide area networks, data transmission, digital multiplexing, data switching, and characteristics of transmission media, modems, design of information flow, and message and packet switching.
• • CSA 229

  • Web and Mobile Development with JavaScript

  • 3
  This course will teach students how to develop client-side scripts to create more functional, robust websites. It builds upon the skills learned in CSA227 Web Design. Students will learn to program with the JavaScript programming language to enhance websites in the areas of dynamic web content, event handling, and form data validation. This course has a strong project component to provide students with substantial hands-on experience with client-side programming. Prerequisites: CSI 116 and CSA 227.
• • CSI 111

  • Digital Computer Hardware

  • 3
  This course focuses on the understanding of computer organization, design and programming of a simple digital computer. The study includes the basic building blocks of a computer system including digital logic circuits, data representation, register transfer language and micro operations.
• • CSI 318

  • Analysis of Algorithms

  • 3
  This course explores the application and efficiency of algorithms. Topics include dynamic programming, balanced trees, graph, and sort algorithms, and Big-O notation.
• • CSI 340

  • Compiler Theory

  • 3
  This course analyzes the structure of a compiler. Topics include lexical analysis, parsing,syntax-directed translation, code generation, and runtime environments.
• • CSI 317

  • Operating Systems

  • 3
  This course examines computer operating systems from the perspective of design and implementation. Topics include process scheduling, process synchronization, memory management, I/O, file systems, security, and virtualization.
• • CSI 330

  • Graphics Programming/UI/UX

  • 3
  User Experience (UX) Design provides an overview of the UX design process. Students will learn basic UX design principles and critique a wide range of existing interfaces. Students will also learn common UX software tools to conduct user testing and design user interfaces.
• • CSI 480

  • Artificial Intelligence

  • 3
  This course explores the underlying theory and application of artificial intelligence (AI) systems. Topics include intelligent agents, problem space search, knowledge representation, planning, neural networks, and machine learning.
• • CSI 490

  • Software Engineering Capstone
  This capstone course thoroughly explores the discipline of software engineering. The course covers the essential aspects of requirements analysis, project planning, design, implementation, and testing. The topics presented are reinforced through the examination of case studies and the development of a capstone project.