The course serves as an introduction to the exciting field and vocation of engineering and the value of engineering education. This course includes guest lectures describing various engineering disciplines, team-based introductory projects, community service, and weekly readings that focus on how to be successful as an engineering student. The weekly readings include topics on self-discovery, goal setting, work-life balance, and understanding the teaching/learning process. A course emphasis includes Christian perspectives on purpose, integrity, and service as they relate to the vocation of engineering. This is the first course required of all students considering engineering as a major. Note: This is a required course for Engineering, Computer Science, and Construction Management Majors. Pre- or Co- Requisite: ICS 105. (3 units; Fall)

InstructorStart DateDaysTimeLocation
EGR101-B
Oyanader, Mario A.
09/03/2024 TTh 10:30 AM - 12:00 PM Engineering 216
EGR101-F
Oyanader, Mario A.
09/03/2024 TTh 12:15 PM - 1:45 PM Engineering 216
EGR101-G
Butler, John Stephen
09/03/2024 TTh 2:00 PM - 3:30 PM Engineering 214
EGR101-C
Nalbandian, Michael J.
09/03/2024 TTh 8:45 AM - 10:15 AM Engineering 214
EGR101-E
Clement, Larry W.
09/03/2024 TTh 2:00 PM - 3:30 PM Engineering 216
EGR101-J
STAFF, STAFF
09/03/2024 TTh 8:45 AM - 10:15 AM Engineering 216
EGR101-H
Clement, Larry W.
09/03/2024 TTh 3:45 PM - 5:15 PM Engineering 216
EGR101-A
Rickard, Matthew J.
09/03/2024 TTh 10:30 AM - 12:00 PM Engineering 214
EGR101-D
Rickard, Matthew J.
09/03/2024 TTh 12:15 PM - 1:45 PM Engineering 214
EGR101-I
van Haaster, Philip Andrew
09/03/2024 TTh 3:45 PM - 5:15 PM Engineering 214

Introduction to fundamental techniques used in engineering design and analysis. Different models of the design process will be examined. A collaborative team oriented design project will be undertaken. (4 units; Spring)

InstructorStart DateDaysTimeLocation
EGR102-J
Rickard, Matthew J.
01/08/2024 Th 8:45 AM - 10:15 AM Engineering 216
EGR102-A
Zhang, Jun
01/08/2024 T 9:00 AM - 10:30 AM Engineering 214
EGR102-B
Zhang, Jun
01/08/2024 T 9:00 AM - 10:30 AM Engineering 214
EGR102-G
Gordon, Mark T
01/08/2024 Th 10:30 AM - 12:00 PM Engineering 214
EGR102-I
Rickard, Matthew J.
01/08/2024 Th 10:30 AM - 12:00 PM Engineering 216
EGR102-L
Butler, John Stephen
01/08/2024 Th 12:15 PM - 1:45 PM Engineering 216
EGR102-D
Gordon, Mark T
01/08/2024 T 9:30 AM - 11:00 AM Engineering 216
EGR102-E
Zhang, Jun
01/08/2024 T 1:15 PM - 2:45 PM Engineering 216
EGR102-F
Zhang, Jun
01/08/2024 T 1:15 PM - 2:45 PM Engineering 216
EGR102-H
Gordon, Mark T
01/08/2024 Th 12:15 PM - 1:45 PM Engineering 214
EGR102-P
Oyanader, Mario A.
01/08/2024 Th 1:15 PM - 2:45 PM Engineering 214
EGR102-C
Gordon, Mark T
01/08/2024 T 9:30 AM - 11:00 AM Engineering 216
EGR102-K
Butler, John Stephen
01/08/2024 Th 2:00 PM - 3:30 PM Engineering 216
EGR102-M
Rickard, Matthew J.
01/08/2024 T 2:00 PM - 3:30 PM Engineering 214
EGR102-N
Rickard, Matthew J.
01/08/2024 T 2:00 PM - 3:30 PM Engineering 214
EGR102-O
Oyanader, Mario A.
01/08/2024 Th 1:15 PM - 2:45 PM Engineering 214
EGR102-B
Zhao, Xueyan Sarah
01/13/2025 T 9:30 AM - 11:00 AM Engineering 214
EGR102-D
Gordon, Mark T
01/13/2025 T 9:30 AM - 11:00 AM Engineering 216
EGR102-F
STAFF, STAFF
01/13/2025 T 1:15 PM - 2:45 PM Engineering 216
EGR102-J
STAFF, STAFF
01/13/2025 Th 8:45 AM - 10:15 AM Engineering 216
EGR102-K
Butler, John Stephen
01/13/2025 Th 2:00 PM - 3:30 PM Engineering 216
EGR102-L
Butler, John Stephen
01/13/2025 Th 12:15 PM - 1:45 PM Engineering 216
EGR102-M
STAFF, STAFF
01/13/2025 T 2:00 PM - 3:30 PM Engineering 214
EGR102-N
STAFF, STAFF
01/13/2025 T 2:00 PM - 3:30 PM Engineering 214
EGR102-C
Gordon, Mark T
01/13/2025 T 9:30 AM - 11:00 AM Engineering 216
EGR102-I
STAFF, STAFF
01/13/2025 Th 10:30 AM - 12:00 PM Engineering 216
EGR102-P
Oyanader, Mario A.
01/13/2025 Th 1:15 PM - 2:45 PM Engineering 214
EGR102-E
STAFF, STAFF
01/13/2025 T 1:15 PM - 2:45 PM Engineering 216
EGR102-G
Gordon, Mark T
01/13/2025 Th 10:30 AM - 12:00 PM Engineering 214
EGR102-O
Oyanader, Mario A.
01/13/2025 Th 1:15 PM - 2:45 PM Engineering 214
EGR102-A
Zhao, Xueyan Sarah
01/13/2025 T 9:30 AM - 11:00 AM Engineering 214
EGR102-H
Gordon, Mark T
01/13/2025 Th 12:15 PM - 1:45 PM Engineering 214

Engineering is a discipline which requires the effective communication of visual information as part of persuasion or education. Excel (beginning and advanced techniques), and a CAD program will be covered to assist in that process for a real current engineering problem of interest. For example this might include the utilization of solar power in Riverside County to address energy consumption concerns. This course lays the foundation for future courses which have elements of data and information presentation. (3 units; Fall/Spring)

InstructorStart DateDaysTimeLocation
EGR122-A
Sanders, Benjamin L
01/08/2024 TTh 8:45 AM - 10:15 AM Engineering 302
EGR122-C
Si, Xiuhua April
01/08/2024 TTh 2:00 PM - 3:30 PM Engineering 302
EGR122-B
Gallegos, Humberto Adrian
01/08/2024 TTh 10:30 AM - 12:00 PM Engineering 302
EGR122-D
Gallegos, Humberto Adrian
01/08/2024 TTh 12:15 PM - 1:45 PM Engineering 302
EGR122-C
Si, Xiuhua April
09/03/2024 TTh 12:15 PM - 1:45 PM Engineering 302
EGR122-D
Nalbandian, Michael J.
09/03/2024 TTh 3:45 PM - 5:15 PM Engineering 302
EGR122-E
Si, Xiuhua April
09/03/2024 TTh 8:45 AM - 10:15 AM Engineering 302
EGR122-B
Nalbandian, Michael J.
09/03/2024 TTh 2:00 PM - 3:30 PM Engineering 302
EGR122-A
Gallegos, Humberto Adrian
09/03/2024 TTh 12:15 PM - 1:45 PM Engineering 230
EGR122-A
Sanders, Benjamin L
01/13/2025 TTh 8:45 AM - 10:15 AM Engineering 302
EGR122-B
Lee, Jay J.
01/13/2025 MWF 10:45 AM - 11:45 AM Engineering 302
EGR122-C
Si, Xiuhua April
01/13/2025 TTh 2:00 PM - 3:30 PM Engineering 302
EGR122-D
Nalbandian, Michael J.
01/13/2025 TTh 12:15 PM - 1:45 PM Engineering 302

This course addresses the basic elements of the Christian faith in the context of participating in Gods global agenda. Topics include Christian worldview, the Kingdom of God, the gospel of Jesus Christ, the work of the Holy Spirit, the mission of the Church, and the role of prayer. (3 units; Fall/Spring)

InstructorStart DateDaysTimeLocation
ICS105-D
Tung, Brian H.
01/08/2024 MWF 12:00 PM - 1:00 PM Yeager Center B251
ICS105-C
Horton, Damon A.
01/08/2024 TTh 12:15 PM - 1:45 PM Yeager Center B220
ICS105-A
Horton, Damon A.
01/08/2024 TTh 10:30 AM - 12:00 PM BUS 123
ICS105-B
Horton, Damon A.
01/08/2024 W 1:15 PM - 4:15 PM BUS 124
ICS105-E
Gonet, Christina D.
09/03/2024 TTh 2:00 PM - 3:30 PM Park Building 204
ICS105-G
Wilhite, Shawn J.
09/03/2024 TTh 3:45 PM - 5:15 PM Yeager Center A111
ICS105-H
Tung, Brian H.
09/03/2024 TTh 2:00 PM - 3:30 PM Park Building 203
ICS105-F
Wilhite, Shawn J.
09/03/2024 TTh 2:00 PM - 3:30 PM Yeager Center A111
ICS105-I
Tung, Brian H.
09/03/2024 T 6:00 PM - 9:00 PM Health Science Campus L243
ICS105-D
Gonet, Christina D.
09/03/2024 TTh 12:15 PM - 1:45 PM Park Building 204
ICS105-C
Horton, Damon A.
09/03/2024 W 1:15 PM - 4:15 PM Mission Hall 109
ICS105-B
Horton, Damon A.
09/03/2024 TTh 10:30 AM - 12:00 PM Mission Hall 109
ICS105-A
Horton, Damon A.
09/03/2024 TTh 2:00 PM - 3:30 PM Park Building 125
ICS105-D
Tung, Brian H.
01/13/2025 MWF 12:00 PM - 1:00 PM TBA
ICS105-C
Horton, Damon A.
01/13/2025 TTh 12:15 PM - 1:45 PM Mission Hall 109
ICS105-B
Horton, Damon A.
01/13/2025 MWF 10:45 AM - 11:45 AM Park Building 124
ICS105-A
Horton, Damon A.
01/13/2025 TTh 10:30 AM - 12:00 PM Park Building 123

 

*Junior/senior transfer students will complete EGR 301. All other students willcomplete EGR 101.

**EGR 106 can be taken instead of EGR 102. EGR 124 can be taken instead of EGR122. 

Preparation for a lifetime of leadership as an engineer. Small group discussion format, with opportunities for student facilitated discussions. Topics include: leadership in organizations, emotional intelligence, the psychology of small group dynamics and team performance, global perspectives of engineering. Written executive summaries as part of a “4MAT” like response will be required prior to discussion. Prerequisite: Permission of the Department Chair. (1 unit; Spring)

InstructorStart DateDaysTimeLocation
EGR304-I
Jung, Helen
01/08/2024 T 8:00 AM - 9:00 AM Engineering 129
EGR304-L
Baumer, Richard E
01/08/2024 W 1:15 PM - 2:15 PM Engineering 305
EGR304-B
van Haaster, Philip Andrew
01/08/2024 Th 3:45 PM - 4:45 PM Engineering 305
EGR304-H
Clement, Larry W.
01/08/2024 W 1:15 PM - 2:15 PM Engineering 203
EGR304-F
Baumer, Richard E
01/08/2024 W 10:45 AM - 11:45 AM Engineering 107
EGR304-D
Clement, Larry W.
01/08/2024 W 10:45 AM - 11:45 AM Engineering 203
EGR304-K
Clement, Larry W.
01/08/2024 W 2:30 PM - 3:30 PM Engineering 203
EGR304-E
Bonne, Laura M
01/08/2024 W 3:00 PM - 4:00 PM Instructor OFFC
EGR304-G
Bonne, Laura M
01/08/2024 F 8:15 AM - 9:15 AM Instructor OFFC
EGR304-J
Jung, Helen
01/08/2024 T 9:15 AM - 10:15 AM Engineering 129
EGR304-C
Bonne, Laura M
01/08/2024 Th 9:00 AM - 10:00 AM Instructor OFFC
EGR304-A
van Haaster, Philip Andrew
01/13/2025 Th 3:45 PM - 4:45 PM Engineering 305
EGR304-C
Clement, Larry W.
01/13/2025 W 10:45 AM - 11:45 AM Engineering 203
EGR304-D
Bonne, Laura M
01/13/2025 W 3:00 PM - 4:00 PM Instructor OFFC
EGR304-E
Baumer, Richard E
01/13/2025 W 10:45 AM - 11:45 AM Engineering 107
EGR304-F
Bonne, Laura M
01/13/2025 F 8:15 AM - 9:15 AM Instructor OFFC
EGR304-G
Clement, Larry W.
01/13/2025 W 2:30 PM - 3:30 PM Engineering 301
EGR304-H
Jung, Helen
01/13/2025 T 8:00 AM - 9:00 AM Engineering 129
EGR304-I
Jung, Helen
01/13/2025 T 9:15 AM - 10:15 AM Engineering 129
EGR304-J
Clement, Larry W.
01/13/2025 W 9:30 AM - 10:30 AM Engineering 203
EGR304-K
Baumer, Richard E
01/13/2025 W 1:15 PM - 2:15 PM Engineering 305
EGR304-B
Bonne, Laura M
01/13/2025 Th 9:00 AM - 10:00 AM Instructor OFFC

Designed to prepare you for the official internship during your junior summer. Discussion and development of the individual's priorities for their learning contract. Topics include: resume and internship writing, finding an internship, how you will be assessed as an intern, the psychology of the workplace, different types of bosses and working on teams, and the different types of work environment. Junior status or greater is required. (1 unit; Fall)

InstructorStart DateDaysTimeLocation
EGR306-A
Clement, Rhonda Charlotte
01/08/2024 F 2:30 PM - 3:30 PM Engineering 301
EGR306-A
Clement, Rhonda Charlotte
09/03/2024 W 2:30 PM - 3:30 PM Yeager Center A112
EGR306-A
Clement, Rhonda Charlotte
01/13/2025 F 2:30 PM - 3:30 PM Engineering 301

The first of a two course senior capstone design sequence. Various design topics may be discussed including equipment design, the design of process systems, and economics. Student teams select a project which may involve company sponsorship, and proceed through the design methodology introduced in earlier design classes, incorporating appropriate engineering standards and multiple realistic constraints. Every project has a 'customer' which requires the generation of a customer spec. During the sequence students provide detailed schedules for building a prototype system or designing a process and present weekly progress reports. They also produce technical specifications, undergo a preliminary design review (PDR), and build a working prototype system if appropriate. Prerequisite: EGR 302 or 352. (3 units; Fall)

InstructorStart DateDaysTimeLocation
EGR401-D
Oyanader, Mario A.
09/03/2024 MF 1:15 PM - 2:45 PM Engineering 304
EGR401-A
Gallegos, Humberto Adrian
09/03/2024 M 2:30 PM - 5:30 PM Engineering 214
EGR401-I
Gallegos, Humberto Adrian
09/03/2024 W 2:30 PM - 5:30 PM Engineering 119
EGR401-E
Gordon, Mark T
09/03/2024 W 2:30 PM - 5:30 PM Engineering 216
EGR401-F
Sanders, Benjamin L
09/03/2024 W 1:15 PM - 4:15 PM Engineering 229
EGR401-H
Sanders, Benjamin L
09/03/2024 M 1:15 PM - 4:15 PM Engineering 229
EGR401-B
Butler, John Stephen
09/03/2024 W 2:30 PM - 5:30 PM Engineering 214
EGR401-G
Zhang, Jun
09/03/2024 W 2:30 PM - 5:30 PM Engineering 305
EGR401-C
Abdelmessih, Amanie N.
09/03/2024 W 2:30 PM - 5:30 PM Engineering 204

A continuation of EGR 401. Further development of the project will take place and will involve testing as appropriate. Teams will develop proper documentation for their projects and will appropriately communicate and present the results of their project. A final presentation is given to the public which could include members of the engineering advisory council. The presentation will be recorded and included as a part of students' senior portfolios. Prerequisite: EGR 401. (3 units; Spring)

InstructorStart DateDaysTimeLocation
EGR402-I
Gallegos, Humberto Adrian
01/08/2024 T 2:30 PM - 5:30 PM Engineering 230
EGR402-D
Oyanader, Mario A.
01/08/2024 TTh 8:45 AM - 10:15 AM Engineering 304
EGR402-F
Sanders, Benjamin L
01/08/2024 MW 12:15 PM - 1:45 PM Engineering 229
EGR402-H
Sanders, Benjamin L
01/08/2024 MW 2:00 PM - 3:30 PM Engineering 229
EGR402-B
Butler, John Stephen
01/08/2024 W 3:00 PM - 6:00 PM Engineering 201
EGR402-A
Gallegos, Humberto Adrian
01/08/2024 M 2:30 PM - 5:30 PM Engineering 221
EGR402-E
Gordon, Mark T
01/08/2024 W 2:45 PM - 5:45 PM Engineering 221
EGR402-C
Abdelmessih, Amanie N.
01/08/2024 W 2:30 PM - 5:30 PM Engineering 204
EGR402-G
van Haaster, Philip Andrew
01/08/2024 W 2:30 PM - 5:30 PM Engineering 104
EGR402-A
Gallegos, Humberto Adrian
01/13/2025 M 2:30 PM - 5:30 PM Engineering 221
EGR402-I
Gallegos, Humberto Adrian
01/13/2025 T 2:30 PM - 5:30 PM Engineering 230
EGR402-F
Sanders, Benjamin L
01/13/2025 MW 12:15 PM - 1:45 PM Engineering 229
EGR402-H
Sanders, Benjamin L
01/13/2025 MW 2:00 PM - 3:30 PM Engineering 229
EGR402-C
Abdelmessih, Amanie N.
01/13/2025 W 2:30 PM - 5:30 PM Engineering 204
EGR402-B
Butler, John Stephen
01/13/2025 W 2:30 PM - 5:30 PM Engineering 201
EGR402-D
Oyanader, Mario A.
01/13/2025 TTh 8:45 AM - 10:15 AM Engineering 304
EGR402-E
Gordon, Mark T
01/13/2025 W 2:45 PM - 5:45 PM Engineering 221
EGR402-G
Zhang, Jun
01/13/2025 W 2:30 PM - 5:30 PM Engineering 104

Students will report on their internship experiences. Each student will submit a written report and give an oral presentation. Students will receive faculty and peer evaluations of their presentations. Prerequisite: Permission of the Department Chair. (1 unit; Fall/Spring)

InstructorStart DateDaysTimeLocation
EGR405-A
Anklam, Mark R.
01/08/2024 W 3:45 PM - 4:45 PM Engineering 221
EGR405-A
STAFF, STAFF
09/03/2024 F 3:45 PM - 4:45 PM Engineering 221
EGR405-B
STAFF, STAFF
09/03/2024 F 2:30 PM - 3:30 PM Engineering 221
EGR405-C
STAFF, STAFF
09/03/2024 Th 2:30 PM - 3:30 PM Engineering 221
EGR405-D
Anklam, Mark R.
09/03/2024 Th 3:45 PM - 4:45 PM Engineering 221
EGR405-A
Anklam, Mark R.
01/13/2025 F 3:45 PM - 4:45 PM Engineering 221

 

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, & Online)

InstructorStart DateDaysTimeLocation
EGR121-B
Shade, Karen S
01/08/2024 MWF 3:45 PM - 4:45 PM Engineering 301
EGR121-C
Shade, Karen S
01/08/2024 MWF 2:30 PM - 3:30 PM Engineering 119
EGR121-A
Shade, Karen S
01/08/2024 MWF 10:45 AM - 11:45 AM Engineering 119
EGR121-D
Shade, Karen S
01/08/2024 MWF 8:15 AM - 9:15 AM Engineering 119
EGR121-A
Shade, Karen S
09/03/2024 MWF 9:30 AM - 10:30 AM Engineering 107
EGR121-B
Shade, Karen S
09/03/2024 MWF 8:15 AM - 9:15 AM Engineering 107
EGR121-C
Shade, Karen S
09/03/2024 MWF 1:15 PM - 2:15 PM Engineering 107
EGR121-B
Shade, Karen S
01/13/2025 TTh 3:45 PM - 5:15 PM Engineering 104
EGR121-A
Shade, Karen S
01/13/2025 TTh 2:00 PM - 3:30 PM Engineering 104

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: EGR 120 or 121. (3 units; Fall/Spring/Summer)

InstructorStart DateDaysTimeLocation
EGR222-B
Clement, Larry W.
01/08/2024 TTh 10:30 AM - 12:00 PM Engineering 221
EGR222-A
Clement, Larry W.
01/08/2024 TTh 8:45 AM - 10:15 AM Engineering 221
EGR222-A
Clement, Larry W.
07/01/2024 - Online
EGR222-B
Clement, Larry W.
09/03/2024 TTh 10:30 AM - 12:00 PM Engineering 221
EGR222-A
Clement, Larry W.
01/13/2025 TTh 8:45 AM - 10:15 AM Engineering 221
EGR222-B
Clement, Larry W.
01/13/2025 TTh 10:30 AM - 12:00 PM Engineering 221
EGR222-A
Clement, Larry W.
06/30/2025 - Online

Fundamental data structures for implementation and analysis. Techniques for solving problems by programming. Analysis for complexity and performance trade-offs. Topics include object oriented design, debugging, abstract data types (ADTs), recursion, big-O notation, interfaces, inheritance, and encapsulation, linked lists, stacks, queues, hash tables, heap, trees, searching, sorting. Prerequisite: EGR 222. (3 units; Fall/Spring)

InstructorStart DateDaysTimeLocation
EGR227-B
Kim, Mark Sun
01/08/2024 TTh 2:00 PM - 3:30 PM Engineering 107
EGR227-A
Kim, Mark Sun
01/08/2024 TTh 12:15 PM - 1:45 PM Engineering 107
EGR227-B
STAFF, STAFF
09/03/2024 MWF 1:15 PM - 2:15 PM Engineering 119
EGR227-A
STAFF, STAFF
09/03/2024 MWF 9:30 AM - 10:30 AM Engineering 203
EGR227-A
Kim, Mark Sun
01/13/2025 MWF 9:30 AM - 10:30 AM Engineering 119
EGR227-B
Kim, Mark Sun
01/13/2025 MWF 2:30 PM - 3:30 PM Engineering 107

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: EGR 227. (3 units; Fall/Spring)

InstructorStart DateDaysTimeLocation
CSC312-A
Sanders, Benjamin L
01/08/2024 MWF 8:15 AM - 9:15 AM Engineering 301
CSC312-A
Sanders, Benjamin L
09/03/2024 MWF 10:45 AM - 11:45 AM Engineering 302
CSC312-A
Sanders, Benjamin L
01/13/2025 MWF 9:30 AM - 10:30 AM Engineering 301
CSC312-B
Kim, Mark Sun
01/13/2025 MWF 1:15 PM - 2:15 PM Engineering 107
CSC312-C
Kim, Mark Sun
01/13/2025 MWF 10:45 AM - 11:45 AM Engineering 305

 

This course will provide an overview of the salient math topics most heavily used in the core sophomore-level engineering courses. These include trigonometry, vectors, complex numbers, sinusoids and harmonic signals, systems of equations and matrices, derivatives, integrals, differential equations and Fourier series within the context of an engineering application. These concepts will be reinforced through extensive examples of their use in the core engineering curriculum. Students may only earn credit for either EGR 182 or EGR 182L. Prerequisite: EGR 181 or MAT 115. (4 units; Fall/Spring)

InstructorStart DateDaysTimeLocation
EGR182-F
Zhang, Jun
01/08/2024 F 10:30 AM - 12:00 PM Engineering 305
EGR182-B
Anklam, Mark R.
01/08/2024 M 2:00 PM - 3:30 PM Engineering 221
EGR182-C
Zhang, Jun
01/08/2024 M 12:15 PM - 1:45 PM Engineering 305
EGR182-A
Anklam, Mark R.
01/08/2024 M 2:00 PM - 3:30 PM Engineering 221
EGR182-D
Zhang, Jun
01/08/2024 W 12:15 PM - 1:45 PM Engineering 305
EGR182-E
Zhang, Jun
01/08/2024 F 10:30 AM - 12:00 PM Engineering 305
EGR182-C
STAFF, STAFF
09/03/2024 F 2:30 PM - 3:30 PM Engineering 303
EGR182-F
Zhang, Jun
09/03/2024 Th 10:45 AM - 11:45 AM Engineering 301
EGR182-G
Wood, Brian Dean
09/03/2024 TTh 1:15 PM - 2:45 PM Engineering 230
EGR182-D
STAFF, STAFF
09/03/2024 F 2:30 PM - 3:30 PM Engineering 303
EGR182-B
Zhang, Jun
09/03/2024 F 9:30 AM - 10:30 AM Engineering 301
EGR182-E
Zhang, Jun
09/03/2024 W 10:45 AM - 11:45 AM Engineering 301
EGR182-A
Zhang, Jun
09/03/2024 Th 9:30 AM - 10:30 AM Engineering 301
EGR182-B
Zhang, Jun
01/13/2025 M 2:00 PM - 3:30 PM Engineering 221
EGR182-F
Zhang, Jun
01/13/2025 F 10:30 AM - 12:00 PM Engineering 305
EGR182-A
Zhang, Jun
01/13/2025 M 2:00 PM - 3:30 PM Engineering 221
EGR182-D
Kong, Seong Deok
01/13/2025 W 12:15 PM - 1:45 PM Engineering 305
EGR182-C
Kong, Seong Deok
01/13/2025 M 12:15 PM - 1:45 PM Engineering 305
EGR182-E
Zhang, Jun
01/13/2025 F 10:30 AM - 12:00 PM Engineering 305

Basic concepts of analytical geometry, limits and derivatives, differentials and rates, integration, definite and indefinite integrals, differentiation of logarithmic and exponential functions. Prerequisites: MAT 135, 145, EGR 182, or sufficient SAT, ACT or math placement exam scores and appropriate high school mathematics background. (4 units; Fall/Spring)

InstructorStart DateDaysTimeLocation
MAT245-A
Curry, Brad
01/08/2024 MWF 8:15 AM - 9:15 AM Yeager Center ONLN
MAT245-B
Curry, Brad
01/08/2024 MWF 9:30 AM - 10:30 AM Yeager Center ONLN
MAT245-A
Willett, Robert James
05/06/2024 - Online
MAT245-A
Curry, Brad
09/03/2024 MWF 8:15 AM - 9:15 AM Park Building ONLN
MAT245-B
Curry, Brad
09/03/2024 MWF 9:30 AM - 10:30 AM Park Building ONLN
MAT245-A
Curry, Brad
01/13/2025 MWF 8:15 AM - 9:15 AM Park Building ONLN
MAT245-B
Curry, Brad
01/13/2025 MWF 9:30 AM - 10:30 AM Park Building ONLN
MAT245-A
Willett, Robert James
05/05/2025 - Online

Continued study and applications of integration: volumes, lengths, surface of revolution; derivatives and integrals involving trigonometric functions, infinite series, expansion of functions, hyperbolic functions, law of the mean, partial fractions, polar coordinates, and conic sections. Prerequisite: MAT 245. (4 units; Fall/Spring)

InstructorStart DateDaysTimeLocation
MAT255-A
Willett, Robert James
01/08/2024 F 1:15 PM - 2:15 PM Health Science Campus ONLN
MAT255-B
DellAcqua, Jessica K.
01/08/2024 MWF 2:30 PM - 3:30 PM Yeager Center ONLN
MAT255-A
Willett, Robert James
09/03/2024 MWF 10:45 AM - 11:45 AM Mission Hall ONLN
MAT255-B
Willett, Robert James
09/03/2024 MWF 1:15 PM - 2:15 PM Mission Hall ONLN
MAT255-B
Sill, Michael R.
01/13/2025 MWF 2:30 PM - 3:30 PM TBA ONLN
MAT255-A
Willett, Robert James
01/13/2025 MWF 1:15 PM - 2:15 PM Health Science Campus ONLN

Vector spaces; matrices, rank and systems of linear equations; linear transformation; similarity and diagonalization theorems; eigenvectors and eigenvalues. Prerequisite: MAT 313, or 245 and EGR 225. (3 units; Spring)

InstructorStart DateDaysTimeLocation
MAT403-A
Willett, Robert James
01/08/2024 MWF 12:00 PM - 1:00 PM Health Science Campus V295
MAT403-A
Willett, Robert James
01/13/2025 MWF 12:00 PM - 1:00 PM TBA

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)

InstructorStart DateDaysTimeLocation
EGR225-C
STAFF, STAFF
09/03/2024 MWF 2:30 PM - 3:30 PM Engineering 301
EGR225-A
Kim, Mark Sun
09/03/2024 MWF 1:15 PM - 2:15 PM Engineering 301
EGR225-B
Kim, Mark Sun
09/03/2024 MWF 10:45 AM - 11:45 AM Engineering 119

 

This course represents a basic concepts and methodology course in regression analysis using application of general linear regression models to real-life situations. Case studies are used to give practice in diagnosing practical problems, deciding on appropriate models, and knowing which inferential technique will answer the researcher’s questions for the purposes of description and prediction. Regression models and model building typical of problems used in the social and behavioral sciences, the natural and health sciences, and many other disciplines are covered. Prerequisite: STA 144 or MAT 245. (3 units; Spring, even years)

InstructorStart DateDaysTimeLocation
STA205-A
Noh, Heewon Esther_AKA:_Esther_L
01/08/2024 TTh 10:30 AM - 12:00 PM Yeager Center B259

The first semester of a two-semester course providing a systematic development of the theories of probability and statistics. Students learn and use fundamental concepts of probability models, random variables and their distributions, reduction of data, estimation, testing of hypotheses, univariate normal inference, and statistical decision theory. The first semester is required for BA and BS statistics majors of all concentrations. Prerequisites: MAT 245, and one of the following: EGR 120, 121, or STA 144. (3 units; Fall)

InstructorStart DateDaysTimeLocation
STA310-A
Noh, Heewon Esther_AKA:_Esther_L
09/03/2024 TTh 12:15 PM - 1:45 PM Park Building 125

Second semester course in a systematic development of the theories of probability and statistics. Topics include analysis of categorical data, multivariate distributions, nonparametric inference, linear models and analysis of variance. As time permits, the theory underlying Markov chain, Monte Carlo, quasi-likelihood, empirical likelihood, statistical functionals, generalized estimating equations, the jackknife, and the bootstrap are addressed. Prerequisite: STA 310. (3 units; Spring)

InstructorStart DateDaysTimeLocation
STA311-A
Noh, Heewon Esther_AKA:_Esther_L
01/13/2025 TTh 12:15 PM - 1:45 PM James Complex 375

This course provides the tools to create and critically evaluate data visualizations. Focus will be on statistical graphics, graphics that display statistical data. Additionally, recent advances in the field of information visualization will be covered. Prerequisite: STA 144 or MAT 245. (3 units; Spring, even years)

InstructorStart DateDaysTimeLocation
STA360-A
Noh, Heewon Esther_AKA:_Esther_L
01/08/2024 TTh 8:45 AM - 10:15 AM Yeager Center ONLN

A course to introduce statistical models of advanced least squares regression and standard ANOVA techniques and extensions to categorical data. Students will conceptually understand linear mixed effects models, log linear and generalized linear models for count data; and survival models for the analysis of lifetime data. In addition, students will apply these models to real data, to discern patterns and conclusions, and present their results. Prerequisite: STA 210, EGR 120, or 121. (3 units; Fall, even years)

InstructorStart DateDaysTimeLocation
STA362-A
Noh, Heewon Esther_AKA:_Esther_L
09/03/2024 TTh 2:00 PM - 3:30 PM TBA

A course in application of parametric and nonparametric single and multivariable data analytic techniques to sports. Topics will include: linear regression, correlation, confounding and interactions, variable selection, categorical predictors and outcomes, logistic regression, factor analysis, discriminant analysis, and regression techniques with longitudinal data. Prerequisite: STA 210, EGR 120, or 121. (3 units; Spring, odd years)

InstructorStart DateDaysTimeLocation
STA364-A
Noh, Heewon Esther_AKA:_Esther_L
01/13/2025 TTh 10:30 AM - 12:00 PM James Complex 375

Delve into the essential principles of cutting-edge Geographic Information Systems (GIS) to grasp its theoretical underpinnings and its widespread application across diverse industries. Over the next few decades, the utilization of GIS is expected to experience rapid expansion in fields spanning the arts and sciences, business, engineering, health sciences, nursing, and more. The demand for a foundational skill set in GIS is pressing, and studying GIS and its functionalities aligns perfectly with this demand. Gain insights into GIS terminology and acquire hands-on experience in map design, manipulation of spatial data, and spatial analysis as innovative means to bolster global initiatives. (3 units; Fall)

InstructorStart DateDaysTimeLocation
CSC441-A
Corso, Anthony J.
09/03/2024 WF 8:15 AM - 9:15 AM Engineering ONLN

Elevate organizational strategic thinking by addressing intricate challenges through the application of established data and cutting-edge Geographic Information System (GIS) solutions. Organizations are increasingly recognizing the benefits of transitioning from the data collection and information era to the age of knowledge engineering. An examination of key GIS tools offers an in-depth, intermediate exploration of harnessing organizational data for theoretical, practical, and problem-solving purposes. This culminates in a robust proficiency in the application of GIS across diverse domains, precisely when the demand for business leaders to develop, execute, and manage advanced GIS solutions is on the rise. Prerequisite: CSC 441. (3 units; Spring)

InstructorStart DateDaysTimeLocation

Explore complex spatial data ecosystems and their impact on Geographic Information System (GIS) solutions. A thorough GIS education, training, and practical experience serves as the foundation for both the theoretical understanding and practical proficiency in crafting GIS solutions for diverse fields and organizational settings. Innovative and collaborative geographic information tools aimed at spatial data analysis will be seamlessly blended with cutting-edge data science theory and capabilities. Proficiency in applying GIS principles through a data science perspective will be assessed through a series of lab assignments and a concluding research project. Prerequisite: CSC 442. (3 units; Fall)

InstructorStart DateDaysTimeLocation

Investigation of modern cloud computing platforms and the practice of creating scalable software solutions that utilize essential cloud computing products like serverless computing, serverless key-value NOSQL databases, cloud storage, publisher/subscriber messaging, identity access and permissions management, machine learning (ML) integration, etc. Prerequisite: EGR 226. (3 units; Spring)

InstructorStart DateDaysTimeLocation
CSC323-A
STAFF, STAFF
01/13/2025 MWF 2:30 PM - 3:30 PM Engineering 203

Introduces the fundamentals of operating systems including processes, memory, scheduling, input/output together with the basics of networking protocols. Prerequisite: EGR 222. (3 units; Spring)

InstructorStart DateDaysTimeLocation
EGR226-B
Knisley, Benjamin David
01/08/2024 TTh 3:45 PM - 5:15 PM Instructor OFFC
EGR226-A
Knisley, Benjamin David
01/08/2024 TTh 2:00 PM - 3:30 PM Instructor OFFC
EGR226-A
Knisley, Benjamin David
01/13/2025 TTh 2:00 PM - 3:30 PM Instructor OFFC
EGR226-B
Knisley, Benjamin David
01/13/2025 TTh 3:45 PM - 5:15 PM Instructor OFFC

Team design of industrial or self-designed projects. Requires the design and development of a process or product with oral and written reports. Includes a review and analysis of professional papers. Pre- or Co- Requisites: EGR 102 and one of the following: CSC 321, 322, or EGR 305, or both CSC 221 and EGR 325. (3 units; Spring)

InstructorStart DateDaysTimeLocation
EGR302-G
Zhao, Xueyan Sarah
01/08/2024 WF 1:15 PM - 2:45 PM Engineering 224
EGR302-B
Grissom, Daniel T.
01/08/2024 TTh 8:45 AM - 10:15 AM Engineering 229
EGR302-F
Grissom, Daniel T.
01/08/2024 TTh 10:30 AM - 12:00 PM Engineering 229
EGR302-E
Rickard, Matthew J.
01/08/2024 TTh 12:15 PM - 1:45 PM Engineering 228
EGR302-A
Butler, John Stephen
01/08/2024 TTh 8:45 AM - 10:15 AM Engineering 106
EGR302-C
Si, Xiuhua April
01/08/2024 TTh 10:30 AM - 12:00 PM Engineering 106
EGR302-D
van Haaster, Philip Andrew
01/08/2024 TTh 12:15 PM - 1:45 PM Engineering 119
EGR302-F
Zhao, Xueyan Sarah
01/13/2025 WF 1:15 PM - 2:45 PM Engineering 224
EGR302-A
Butler, John Stephen
01/13/2025 TTh 8:45 AM - 10:15 AM Engineering 106
EGR302-B
Grissom, Daniel T.
01/13/2025 TTh 8:45 AM - 10:15 AM Engineering 229
EGR302-E
Grissom, Daniel T.
01/13/2025 TTh 10:30 AM - 12:00 PM Engineering 229
EGR302-C
Si, Xiuhua April
01/13/2025 TTh 8:45 AM - 10:15 AM Engineering 119
EGR302-D
van Haaster, Philip Andrew
01/13/2025 TTh 12:15 PM - 1:45 PM Engineering 119

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 120 or 121. (3 units; Fall)

InstructorStart DateDaysTimeLocation
EGR325-A
Corso, Anthony J.
01/08/2024 TTh 3:45 PM - 5:15 PM Engineering 104
EGR325-B
Clement, Larry W.
01/08/2024 TTh 2:00 PM - 3:30 PM Engineering 104
EGR325-B
Clement, Larry W.
09/03/2024 MWF 2:30 PM - 3:30 PM Engineering 302
EGR325-A
Clement, Larry W.
09/03/2024 MWF 1:15 PM - 2:15 PM Engineering 302

In the present-day data-centric landscape, the skill of extracting valuable insights from unprocessed and unstructured data is foundational and in high demand. This course provides students with the essential knowledge and practical expertise required to convert disorganized data into a structured and analytically valuable format. It is intended for individuals entering the fields of data science and data analysis or for those students looking to enhance their proficiency in systematic and reproducible data collection, manipulation, and preparation. Prerequisite: EGR 121. (3 units; Fall)

InstructorStart DateDaysTimeLocation

This course covers introductory machine learning topics including supervised and unsupervised learning, linear and logistic regression, support vector machines, neural networks (MLPs, CNNs, RNNs, GANs) and more. Coursework includes instruction and programming assignments in algorithmic implementations and high-level library usage. Students also apply machine learning techniques to a unique research project. Prerequisites: EGR 120 or 121, and one of the following: EGR 305, MAT 353, STA 144, 310, or one additional approved statistic course. (3 units; Fall)

InstructorStart DateDaysTimeLocation

The course commences with an examination of the knowledge discovery process. In particular, the introduction equips students with the strategic thinking skills essential to focus on cutting edge data mining techniques that can be applied in a wide variety of settings, e.g., business, engineering, health care, science, etc. Traditional topics include data mining algorithms and implementation issues, advantages and disadvantages of data mining, and examples of knowledge engineering. Current topics such as ubiquitous, distributed, and spatiotemporal geographic data mining will also be explored. This is a practical hands-on course that culminates in a real-world project implemented via open source tools. Prerequisites: EGR 120 or 121, and one of the following: EGR 305, MAT 353, STA 144, 310, or one additional approved statistics course. (3 units; Fall)

InstructorStart DateDaysTimeLocation

Natural language is ubiquitous, e.g., humans speak and write to communicate, to transfer information, and to document knowledge. Natural Language Processing (NLP) is an integral component in countless information systems requiring advanced manipulation of natural language. In this class, students will be introduced to NLP starting with the concept of understanding words in context and the need for natural language processing in the business environment. The discussion continues with a detailed study of words and is a foundational framework supporting phonetics and speech synthesis. Subsequent topics include concepts of how words are grouped together to form unique grammatical units. The last part of the course, explores solving real-world NLP problems and deals with two key areas: corpus building, feature engineering, and application development. Course material is presented via theory-based lectures, group discussion, and practical labs-a culminating research project will be individually crafted. Prerequisites: EGR 120 or 121, and one of the following: EGR 305, MAT 353, STA 144, 310, or one additional approved statistics course. (3 units; Spring)

InstructorStart DateDaysTimeLocation
CSC424-A
Corso, Anthony J.
01/13/2025 WF 8:15 AM - 9:15 AM Engineering ONLN

 

Data science students are required to complete an approved cross-cultural experience. Course credit is not required. A list of approved experiences is available in the College of Engineering.

Complete pre-approved 200 hours of supervised internship.

Complete the program assessment exam requirement.