Data Sciences Minor

Lower Division Requirements

EGR222 Software Engineering

Overview of the software development process. Includes requirements, design, construction, and testing of software. Software project planning. Analysis, architecture, and design of software systems using UML. Evaluating designs. Implementing designs using appropriate data structures, frameworks, and APIs. Prerequisite: CIS 268 or EGR 121. (3 units; Fall)

Clement, Larry W.
01/25/2021 TTh 8:45 AM - 10:15 AM CBU Virtual SYNC

Complete one of the following:

EGR121 Intro Computer Programming C++

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: EGR 181 or MAT 115. (3 units; Fall/Spring & OPS)

Kolta, Michael J.
01/25/2021 MWF 1:15 PM - 2:15 PM CBU Virtual SYNC
Xu, Xuping
01/25/2021 MWF 8:15 AM - 9:15 AM CBU Virtual SYNC
Kolta, Michael J.
01/25/2021 MWF 3:45 PM - 4:45 PM CBU Virtual SYNC
Shade, Karen S
01/25/2021 MWF 9:30 AM - 10:30 AM CBU Virtual SYNC

CIS268 Computer Programming Languages

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.
01/25/2021 WF 9:30 AM - 10:30 AM CBU Virtual ONLN

Upper Division Requirements

CIS465 Essntials of Geographic Info Sys

The course provides an overview of the theoretical foundation and applied use of Geographic Information Systems (GIS). At the conclusion of the course, students will have working knowledge of GIS and their appropriate application in various disciplines and organizational settings. The historical development of innovative and collaborative geographic information tools that assist with managing the challenges associated with positional data will also be introduced. Students will demonstrate acquired knowledge via application of the fundamental and principal concepts of geographical information systems by completing a series of lab assignments and a culminating research project. Prerequisites: EGR 121 and CIS 265. (3 units; Fall)

EGR324 Engineering Economics

Economic concepts of supply, demand, and production; cost-benefit analysis and break-even analysis; return on investment; analysis of options; time value of money; management of money: economic analysis, accounting for risk applied to the engineering process. (3 units; Fall/Spring)

Peters, Kim Y.
01/25/2021 TTh 10:30 AM - 12:00 PM CBU Virtual SYNC

EGR325 Database Systems

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.
01/25/2021 TTh 12:15 PM - 1:45 PM CBU Virtual SYNC
Kim, Mark Sun
01/25/2021 TTh 10:30 AM - 12:00 PM CBU Virtual SYNC

Complete one of the following:

CSC413 Info Securty and Cmptr Forenscs

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: EGR 222. (3 units; Fall)

DSC423 Enterprise Data Communications

This course explores state-of-the-art computer communication infrastructure from protocols and protocol architecture to organizational management issues. Special focus areas from TCP/IP Internet communication, protocol design, wireless data networking, to networked applications are studied. The emphasis is on business managers and implementers to design, realize and operate advanced networks that provide efficient and reliable services to users. Topics include data science, data communications, application software, networking, and organization management theory. Prerequisite: Permission of the Department Chair. (4 units; Fall)

DSC450 Data Mining

This course examines at the entire knowledge discovery process. The focus on cutting edge, interesting data mining techniques that can be used in a wide variety of settings (business, science, web analytics, etc.). Topics include algorithmic details, implementation issues, advantages and disadvantages, and many examples of data mining. We will also include the newest topics, such as big data methods and deep learning. The course is a practical, hands-on course, covering knowledge discovery entails, the different groups of algorithms and their usefulness and shortcomings. The course culminates in a real-world project accomplished with open-source tools. Prerequisite: Permission of the Department Chair. (3 units; Summer)