Computer Science Minor
By minoring in computer science (22 units), you can dramatically expand your career opportunities. With a minor in computer science, you can combine the subject area expertise you've cultivated with your major as well as the knowledge of computer science and have a dynamic combination, making you more competitive in the job market.
Lower Division Requirements
Introduction to computer science. Covers problem solving methods and algorithm development; modern programming methodologies; and fundamentals of high-level block structured language using C++. Prerequisite: MAT 115 and his/her demonstrable computer literacy. Prerequisite: EGR 181 or MAT 115. (3 units; Interdisciplinary; Fall/Spring)
Shade, Karen S
|01/09/2019||MWF||9:30 AM - 10:30 AM||Engineering 229|
|01/09/2019||MWF||8:15 AM - 9:15 AM||Engineering 302|
Kolta, Michael J.
|01/09/2019||MWF||3:45 PM - 4:45 PM||Engineering 302|
Kolta, Michael J.
|01/09/2019||MWF||9:30 AM - 10:30 AM||Engineering 302|
In this course concepts of computer programming languages are presented. Attention is given to the common constructs of programming languages as well as a structured approach to program development. The programming language may change from semester to semester. (3 units; Spring)
Corso, Anthony J.
|01/09/2019||MWF||8:15 AM - 9:15 AM||Yeager Center B113|
Then complete the following:
Develops discipline in program design, style, debugging, testing. Examines linked data structures, trees, introduction to graphs, and recursion. Prerequisite: CIS268 or EGR 121. (3 units; Fall)
|01/09/2019||TTh||12:15 PM - 1:45 PM||Engineering 119|
|01/09/2019||TTh||2:00 PM - 3:30 PM||Engineering 104|
|01/09/2019||MWF||9:30 AM - 10:30 AM||Engineering 119|
Introduces the foundations of discrete mathematics as they apply to computer science, focusing on providing a solid theoretical foundation for further work. Topics include functions, relations, sets, simple proof techniques, Boolean algebra, propositional logic, digital logic, elementary number theory, and the fundamentals of counting. (3.0 units; Fall)
Upper Division Requirements
Algorithms are the heart of any computer software; they define the procedure for accomplishing a data-intensive task. This course establishes terms and methods for talking about algorithms, examines some of the basic algorithms for sorting, searching and other fundamental tasks, and explores more advanced algorithms in bioinformatics and other fields. Prerequisite: EGR221. (3 units; Spring)
Jones, Creed F.
|01/09/2019||MWF||10:45 AM - 11:45 AM||Engineering 107|
The Christian worldview provides a framework within which the complicated ethical and social issues of computing can be considered. This course will guide students through an examination of several key ethical questions in computing, using Biblical principles as a guide. (2 units; Spring)
Perkins, Arlene Louise
Introduces students to the organization and architecture of computer systems, beginning with the standard von Neumann model and then moving forward to more recent architectural concepts. Introduction to assembly language programming. Prerequisites: EGR 121 and 225. (3 units; Fall)
Upper Division Elective Requirements
Choose from six (6) units from the following:
Introduction to concepts and considerations of modern compilers and programming languages. Language translation, types and declaration, and abstraction mechanisms are studied. Both functional and object-oriented programming paradigms are explored through examination of several programming languages. Prerequisite: EGR221. (3 units; Fall)
This course explores issues related to the production and the analysis of imagery and visual representations. Computer graphics are introduced, from basic concepts through rendering and animation. Visualization of data is presented. Computer Vision and Image Processing is presented both mathematically and practically, with an emphasis on creating image manipulation programs in a high-level language. Prerequisite: EGR221. (3 units; Spring)
Perkins, Arlene Louise
Intelligent systems is concerned with the design and analysis of autonomous agents that perceive their environment and make rational decisions. This course introduces the basic definitions and issues in Artificial Intelligence and Machine Learning. Students will create reasoning systems in software and explore their capabilities in dealing with new knowledge. Ethical issues in Intelligent Systems will be presented and examined from a Christian perspective. Prerequisite: EGR305. (3 units; Spring)g)d°Çý* «
Kolta, Michael J.
|01/09/2019||MWF||8:15 AM - 9:15 AM||Engineering 203|
This course provides an introduction to the field of Security in computing. Topics include common security standards and policies, cryptography and information security, access controls, attacks and countermeasures, and computer forensics. Prerequisite: EGR222. (3 units; Fall)
Computer scientists use hardware and software components to solve problems; this course encompasses the theoretical basics that underlie them. Automata, languages and grammar, language processing, computability and complexity theory will be examined in detail. Important topics will be explored using a combination of conceptual work and coding exercises. Prerequisite: EGR225. (3 units; Spring)
Overview of current database technologies with an emphasis on relational database technology. Introduction to database design, entity relationship diagraming, structured query language, and stored procedures. Prerequisite: EGR 222. (3 units; Spring)
Clement, Larry W.
|01/09/2019||TTh||10:30 AM - 12:00 PM||Engineering 230|
Focus on Programming real-time applications on an embedded platform running a real-time operating system (RTOS). Consideration will be given to cross-compiled software development, embedded system debugging, multitasking, real-time scheduling, inter-task communication, software design for deterministic execution time, software performance analysis and optimization, device drivers. Prerequisites: EGR 222 and 327. (3 units; Spring)
|01/09/2019||MW||2:30 PM - 4:00 PM||Engineering 203|