Courses

Core Courses (12 units)

EGR501 Engineering Resrch and Practice

This course is an introduction to the graduate study of engineering. Engineering mathematics and linear algebra, as needed for graduate study, will be covered. The Christian worldview and its perspective on advanced engineering will be examined through readings and reflections. An introduction to the topic of research and development will be provided. (3 units; Fall)

EGR501-A
Clement, Larry W.
01/09/2019 M 4:00 PM - 7:00 PM Engineering 229
EGR501-A
Clement, Larry W.
09/03/2019 M 4:00 PM - 7:00 PM Engineering 229

EGR503 Applied Engineering Analysis

This course is intended for all graduate-level engineering students to develop analytic and problem solving skills. Mathematical principles and software tools are applied to analyze and solve engineering problems. Students learn to associate differential equations and other mathematical tools with physical phenomena descriptive of a variety of engineering problems. Topics inlcude mathematical modeling of engineeirng problems; ordinary differential equations, matrix and vector analysis, linear algebra eigenvalue problems, Fourier analysis, and partial differential equations. Prerequisites: MAT245 and MAT255 (3 units; Fall)

EGR503-A
Pontius, Frederick W.
09/03/2019 TTh 5:30 PM - 7:00 PM Engineering 302

EGR506 ENGRing Rsrch and Dvlpmnt Method

This course is an introduction to research and development in the fields of engineering. Methods for properly researching a topic, collecting and processing data, drawing conclusions and presenting results are discussed. Special attention is paid to the process of technical development as opposed to research. Co-requisite: EGR501 (3 units; Spring/Summer)

EGR506-A
Ott, Jason Matthew
01/09/2019 T 5:30 PM - 7:30 PM Engineering ONLN

STA513 Applied Statistics

This course provides an introduction to probability, discrete and continuous random variables, probability distributions, expected values, sampling distributions, point estimation, confidence intervals, hypothesis testing and general linear modeling, Specific topics include tools for describing central tendency and variability in data; methods for performing inference on population means and proportions via sample data; statistical hypothesis testing and its application to group comparisons; issues of power and sample size in study designs; and random sample and other study types. While there are some formulae and computational elements to the course, the emphasis is on qualitative nonlinear thinking, interpretation and concepts. (3 units; Spring)

STA513-A
Noh, Heewon Esther_AKA:_Esther_L
01/09/2019 W 6:00 PM - 8:00 PM BUS ONLN

Electives (12 units)

Complete 12 units from the following:

Thesis/Project (6 units)

Complete the following sequence resulting in a research thesis or technical report:

EGR507 Research and Development

This course is a continuation of graduate research and development in the fields of engineering. Faculty will supervise the research and measure progress of the work. May be repeated three (3) times for credit. Prerequisite: EGR 506. (3 units; Fall, Spring)

EGR507-A
Jones, Creed F.
01/09/2019 - Online
EGR507-A
Jones, Creed F.
05/06/2019 - Online
EGR507-A
STAFF, STAFF
09/03/2019 - Online

EGR508 Documentation and Presentation

This course completes the required graduate research and development sequence in the fields of engineering. The project work or research will be completed, fully documented and presented to a group of faculty, peers and observers. Prerequisite: EGR 506. (3 units; Spring)

EGR508-A
Jones, Creed F.
01/09/2019 - Online
EGR508-A
Jones, Creed F.
05/06/2019 - Online
EGR508-A
STAFF, STAFF
09/03/2019 - Online