Core Engineering Requirements

  

General Education

The general education requirements will follow the curriculum set forth for other university programs. Some general education requirements will be met through specific Computer Science requirements. Approximately eighteen (18) units of general education are not met in the specific core and Computer Science requirements.

 

Lower Division Core Engineering Requirements (11-15 units)

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-C
Nalbandian, Michael J.
09/03/2024 TTh 8:45 AM - 10:15 AM Engineering 214
EGR101-G
Butler, John Stephen
09/03/2024 TTh 2:00 PM - 3:30 PM 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-A
Rickard, Matthew J.
09/03/2024 TTh 10:30 AM - 12:00 PM Engineering 214
EGR101-H
Clement, Larry W.
09/03/2024 TTh 3:45 PM - 5:15 PM Engineering 216
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-A
Zhao, Xueyan Sarah
01/13/2025 T 9:30 AM - 11:00 AM Engineering 214
EGR102-O
Oyanader, Mario A.
01/13/2025 Th 1:15 PM - 2:45 PM Engineering 214
EGR102-H
Gordon, Mark T
01/13/2025 Th 12:15 PM - 1:45 PM Engineering 214

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

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-A
Horton, Damon A.
01/13/2025 TTh 10:30 AM - 12:00 PM Park Building 123
ICS105-B
Horton, Damon A.
01/13/2025 MWF 10:45 AM - 11:45 AM Park Building 124

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

**EGR 106 can be taken instead of EGR 102. EGR 124 can be taken instead of EGR 122. 

 

Upper Division Core Engineering Requirements (12 units)

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

 

Additional Degree Requirements

  • Computer 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. 

 

Computer Science Requirements

  

Programming and Algorithmic Requirements (12 units)

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

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

 

Computing Systems, Hierarchy, and Theory Requirements (15 units)

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: EGR 227. (3 units; Spring)

InstructorStart DateDaysTimeLocation
CSC313-A
Sanders, Benjamin L
01/08/2024 MWF 9:30 AM - 10:30 AM Engineering 119
CSC313-A
Sanders, Benjamin L
01/13/2025 MWF 8:15 AM - 9:15 AM Engineering 301

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. 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. Prerequisites: EGR 225 and 227. (3 units; Fall)

InstructorStart DateDaysTimeLocation

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

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

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. Prerequisite: EGR 120 or 121. Pre- or Co- Requisite: EGR 225. (3 units; Fall)

InstructorStart DateDaysTimeLocation
EGR329-B
Grissom, Daniel T.
09/03/2024 TTh 8:45 AM - 10:15 AM Engineering 301
EGR329-A
Grissom, Daniel T.
09/03/2024 TTh 10:30 AM - 12:00 PM Engineering 301

  

Software Engineering Requirements (15 units)

The design and development of data driven web applications. The integration and exploitation of HTML, JavaScript, server-side programming languages and database technology. Prerequisite: EGR 222. (3 units; Fall)

InstructorStart DateDaysTimeLocation
CSC321-A
Knisley, Benjamin David
01/08/2024 TTh 5:30 PM - 7:00 PM Instructor OFFC
CSC321-A
Knisley, Benjamin David
09/03/2024 MW 5:30 PM - 7:00 PM Instructor OFFC
CSC321-B
Knisley, Benjamin David
09/03/2024 TTh 5:30 PM - 7:00 PM Instructor OFFC

Investigation of mobile operating systems and associated software development environments. Consideration of unique constraints and techniques for creating software designed for mobile devices. Design and development of several mobile applications targeted at the primary mobile operating systems. Prerequisite: EGR 222 (3 units; Fall)

InstructorStart DateDaysTimeLocation
CSC322-A
Grissom, Daniel T.
09/03/2024 TTh 2:00 PM - 3:30 PM Engineering 107

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

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

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 329. (3 units; Spring)

InstructorStart DateDaysTimeLocation
EGR425-A
Grissom, Daniel T.
01/08/2024 TTh 2:00 PM - 3:30 PM Engineering 301
EGR425-A
Grissom, Daniel T.
01/13/2025 TTh 2:00 PM - 3:30 PM Engineering 301

 

Math and Science Requirements

 

Math Requirements (20 units)

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-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-F
Zhang, Jun
09/03/2024 Th 10:45 AM - 11:45 AM Engineering 301
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

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

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

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

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

 

Natural Science Requirements (8 units)

This course covers topics such as units, vectors, motion (in one, two and three dimensions), Newton's laws of motion, work, kinetic and potential energy, momentum, impulse, collisions, conservation laws, dynamics of rotational motion, equilibrium, gravitation, and periodic motion. Six (6) hours per week of inquiry-based instruction. Additional course fee. Prerequisite: MAT 145 or a B or better in EGR 182. Pre- or Co- Requisite: MAT 245. (4 units; Fall/Spring)

InstructorStart DateDaysTimeLocation
PHY201-C
Chediak, Juan A.
01/08/2024 TTh 10:45 AM - 11:45 AM BUS 123
PHY201-A
Chediak, Juan A.
01/08/2024 MW 10:45 AM - 11:45 AM BUS 123
PHY201-B
Chediak, Juan A.
01/08/2024 MW 10:45 AM - 11:45 AM BUS 123
PHY201-D
Choi, Hyung S
01/08/2024 TTh 9:30 AM - 10:30 AM Yeager Center B252
PHY201-E
Choi, Hyung S
01/08/2024 TTh 9:30 AM - 10:30 AM Yeager Center B252
PHY201-A
Grant, Ted William
09/03/2024 Th 10:45 AM - 11:45 AM Mission Hall 109
PHY201-B
Grant, Ted William
09/03/2024 Th 10:45 AM - 11:45 AM Mission Hall 109
PHY201-C
Grant, Ted William
09/03/2024 Th 10:45 AM - 11:45 AM Mission Hall 109
PHY201-F
Choi, Hyung S
01/13/2025 MW 12:00 PM - 1:00 PM TBA
PHY201-B
Chediak, Juan A.
01/13/2025 TTh 10:45 AM - 11:45 AM Park Building 123
PHY201-E
Choi, Hyung S
01/13/2025 MW 12:00 PM - 1:00 PM TBA
PHY201-A
Chediak, Juan A.
01/13/2025 TTh 10:45 AM - 11:45 AM Park Building 123
PHY201-C
Chediak, Juan A.
01/13/2025 TTh 10:45 AM - 11:45 AM Park Building 123

This course covers topics such as fluids, temperature and ideal gas, electric charge and field, Gauss' Law, electric potential, capacitance and dielectrics, current, resistance and electromotive force, direct-current circuits, magnetic field and force, Ampere's and Faraday's laws, electromagnetic induction, inductance, alternating current circuits, and electromagnetic waves. Six (6) hours per week of inquiry-based instruction. Additional course fee. Prerequisites: PHY 201 and MAT 245. (4 units; Fall/Spring)

InstructorStart DateDaysTimeLocation
PHY203-B
Grant, Ted William
01/08/2024 Th 9:30 AM - 10:30 AM BUS 124
PHY203-C
Grant, Ted William
01/08/2024 Th 9:30 AM - 10:30 AM BUS 124
PHY203-A
Grant, Ted William
01/08/2024 Th 9:30 AM - 10:30 AM BUS 124
PHY203-A
Buchholz, James R
05/06/2024 TWTh 3:00 PM - 5:00 PM James Complex 121
PHY203-C
Chediak, Juan A.
09/03/2024 TTh 9:30 AM - 10:30 AM Yeager Center A111
PHY203-A
Chediak, Juan A.
09/03/2024 TTh 9:30 AM - 10:30 AM Yeager Center A111
PHY203-B
Chediak, Juan A.
09/03/2024 TTh 9:30 AM - 10:30 AM Yeager Center A111
PHY203-A
Grant, Ted William
01/13/2025 Th 9:30 AM - 10:30 AM Health Science Campus S292
PHY203-B
Grant, Ted William
01/13/2025 Th 9:30 AM - 10:30 AM Health Science Campus S292
PHY203-C
Grant, Ted William
01/13/2025 Th 9:30 AM - 10:30 AM Health Science Campus S292
PHY203-A
Buchholz, James R
05/05/2025 TWTh 3:00 PM - 5:00 PM James Complex 121

Concentrations

 

Students must complete all requirements in one of the following concentrations:

  • Cybersecurity
  • General
  • Machine Learning and AI

 

Cybersecurity Concentration (15 units)

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; Spring)

InstructorStart DateDaysTimeLocation
CSC431-A
STAFF, STAFF
09/03/2024 MWF 10:45 AM - 11:45 AM Engineering 107
CSC431-A
STAFF, STAFF
01/13/2025 MWF 1:15 PM - 2:15 PM Engineering 104

This course provides an in-depth look into the fundamentals of packet-switched network traffic analysis at the network layer and above as applied to problems in traffic engineering, economics, security, etc. The course will explore the design and integration of analytic tools and techniques into the fabric of the network including: spatial and temporal anomaly detection, origin-destination matrix estimation, application mix determination, deep-packet inspection, fingerprinting, intrusion detection and insider threat mitigation. Finally, the course covers active defense and offensive methods reliant on traffic analysis. Contains a lab component. Prerequisite: CSC 431. (3 units; Spring)

InstructorStart DateDaysTimeLocation

This course provides an in-depth look to define the nature and scope of cyber security incident handling services, including intrusion/incident detection, damage control, service continuity, forensic analysis, service/data restoration, and incident reporting. Material covers policy, planning, operations, and technology issues involved in related cyber incident handling plans; i.e., Business Continuity, Disaster Recovery, and Continuity of Operations. Specific incident types addressed include, natural disasters, denial of service, malicious code, malicious misuse of hardware and firmware, unauthorized access, data compromise and inappropriate use, including insider attacks. Emphasis is given to the detection and analysis of infiltration and exfiltration techniques employed during cyber attacks, thus enabling the incident handler to detect low noise attacks, and to deconstruct particularly insidious attacks. Contains a lab component. Prerequisite: CSC 431 (3 units; Fall)

InstructorStart DateDaysTimeLocation

This course provides an advanced course that focuses on key principles of a constructive approach to secure systems. A brief review of operating systems and computer architecture is provided. Major topics include threat characterization and subversion; confinement; fundamental abstractions, principles, and mechanisms, such as reduced complexity, hierarchical relationships, least privilege, hardware protection, resource management and virtualization, software security, secure system composition, mutual suspicion, synchronization, covert and side-channel analysis, secure metadata, secure operational states, usability, and life cycle assurance. Current developments will include advances in security hardware, components, and systems. This course has heavy reliance on software development and implementation. Prerequisite: CSC 431. (3 units; Spring)

InstructorStart DateDaysTimeLocation

Artificial Intelligence (AI) 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 AI will be presented and examined from a Christian perspective. Prerequisite: EGR 227 (3 units; Spring)

InstructorStart DateDaysTimeLocation
CSC421-A
Moseley, Robert William
01/08/2024 TTh 5:30 PM - 7:00 PM Instructor OFFC
CSC421-A
STAFF, STAFF
01/13/2025 MWF 9:30 AM - 10:30 AM Engineering 104
CSC421-B
STAFF, STAFF
01/13/2025 MWF 10:45 AM - 11:45 AM Engineering 104

 

General Concentration (15 units)

Artificial Intelligence (AI) 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 AI will be presented and examined from a Christian perspective. Prerequisite: EGR 227 (3 units; Spring)

InstructorStart DateDaysTimeLocation
CSC421-A
Moseley, Robert William
01/08/2024 TTh 5:30 PM - 7:00 PM Instructor OFFC
CSC421-A
STAFF, STAFF
01/13/2025 MWF 9:30 AM - 10:30 AM Engineering 104
CSC421-B
STAFF, STAFF
01/13/2025 MWF 10:45 AM - 11:45 AM Engineering 104

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; Spring)

InstructorStart DateDaysTimeLocation
CSC431-A
STAFF, STAFF
09/03/2024 MWF 10:45 AM - 11:45 AM Engineering 107
CSC431-A
STAFF, STAFF
01/13/2025 MWF 1:15 PM - 2:15 PM Engineering 104

 

Complete 9 additional units from the following:

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

This course provides an in-depth look into the fundamentals of packet-switched network traffic analysis at the network layer and above as applied to problems in traffic engineering, economics, security, etc. The course will explore the design and integration of analytic tools and techniques into the fabric of the network including: spatial and temporal anomaly detection, origin-destination matrix estimation, application mix determination, deep-packet inspection, fingerprinting, intrusion detection and insider threat mitigation. Finally, the course covers active defense and offensive methods reliant on traffic analysis. Contains a lab component. Prerequisite: CSC 431. (3 units; Spring)

InstructorStart DateDaysTimeLocation

This course provides an in-depth look to define the nature and scope of cyber security incident handling services, including intrusion/incident detection, damage control, service continuity, forensic analysis, service/data restoration, and incident reporting. Material covers policy, planning, operations, and technology issues involved in related cyber incident handling plans; i.e., Business Continuity, Disaster Recovery, and Continuity of Operations. Specific incident types addressed include, natural disasters, denial of service, malicious code, malicious misuse of hardware and firmware, unauthorized access, data compromise and inappropriate use, including insider attacks. Emphasis is given to the detection and analysis of infiltration and exfiltration techniques employed during cyber attacks, thus enabling the incident handler to detect low noise attacks, and to deconstruct particularly insidious attacks. Contains a lab component. Prerequisite: CSC 431 (3 units; Fall)

InstructorStart DateDaysTimeLocation

This course provides an advanced course that focuses on key principles of a constructive approach to secure systems. A brief review of operating systems and computer architecture is provided. Major topics include threat characterization and subversion; confinement; fundamental abstractions, principles, and mechanisms, such as reduced complexity, hierarchical relationships, least privilege, hardware protection, resource management and virtualization, software security, secure system composition, mutual suspicion, synchronization, covert and side-channel analysis, secure metadata, secure operational states, usability, and life cycle assurance. Current developments will include advances in security hardware, components, and systems. This course has heavy reliance on software development and implementation. Prerequisite: CSC 431. (3 units; Spring)

InstructorStart DateDaysTimeLocation

 

Machine Learning and AI Concentration (15 units)

Artificial Intelligence (AI) 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 AI will be presented and examined from a Christian perspective. Prerequisite: EGR 227 (3 units; Spring)

InstructorStart DateDaysTimeLocation
CSC421-A
Moseley, Robert William
01/08/2024 TTh 5:30 PM - 7:00 PM Instructor OFFC
CSC421-A
STAFF, STAFF
01/13/2025 MWF 9:30 AM - 10:30 AM Engineering 104
CSC421-B
STAFF, STAFF
01/13/2025 MWF 10:45 AM - 11:45 AM Engineering 104

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

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; Spring)

InstructorStart DateDaysTimeLocation
CSC431-A
STAFF, STAFF
09/03/2024 MWF 10:45 AM - 11:45 AM Engineering 107
CSC431-A
STAFF, STAFF
01/13/2025 MWF 1:15 PM - 2:15 PM Engineering 104


*Curriculum subject to change. Please refer to the current catalog for more information.