Brian K. Jennison is a Principal Staff engineer and Assistant Supervisor of the Electromagnetics Systems Group at the Johns Hopkins University Applied Physics Laboratory (JHU/APL). He holds M.S. and Ph.D. degrees in Electrical Engineering from Purdue University and a B.S. degree in Electrical Engineering from the Missouri University of Science and Technology (formerly the University of Missouri at Rolla). Since joining JHU/APL, Dr. Jennison has worked on various signal processing projects in underwater acoustics, radar, and for other sensor systems. He currently teaches classes in Signals & Systems and Digital Signal Processing, and previously taught Multirate Signal Processing and Multidimensional Digital Signal Processing in the JHU Engineering for Professionals (EP) program. He previously served as Chair of the EP Electrical and Computer Engineering Program in the JHU Whiting School of Engineering.
Clinton L. Edwards was a member of the Senior Professional Staff at The Johns Hopkins University - Applied Physics Laboratory (JHU-APL). He received his B.S., M.S., and Ph.D. degrees in Electrical Engineering from The University of Maryland, College Park. Dr. Edwards has worked in the areas of electro-optical/infrared (EO/IR) systems for the United States Navy. He is currently the Assistant Program Manager for Naval Remote Sensing Algorithm Development in the Force Projection Sector of APL. His projects have included modeling stochastic processes relating to foliage penetration, as well as image processing, discrimination and enhanced tracking algorithms for EO/IR cameras and other remote sensing technologies. He has also worked on various projects for the Office of Naval Research. His Ph.D. research included first-principles modeling and validation of the pointing and jitter performance of two-axis (tip-tilt) MEMS mirrors and a generalized model for electrostatic two-axis (tip-tilt) structures. He has authored papers in the Journal of Applied Optics, the SPIE Journal of Micro/Nanolithography, MEMS and MOEMS and the IEEE Journal of Microwave Theory and Techniques as well as other conference proceedings. Dr. Edwards is a Senior Member of IEEE and a member of Eta Kappa Nu and Tau Beta Pi. Dr. Edwards has developed and taught graduate courses with the Johns Hopkins University - Whiting School of Engineering (JHU-WSE) including "Principles of Optics" (EN.615.471), "Digital Signal Processing" (EN.525.427), "ECE Fundamentals: Circuits, Devices and Fields" (EN.525.201) and "ECE Fundamentals: Signals and Systems" (EN.525.202). Dr. Edwards serves as the Vice Chair of the Electrical and Computer Engineering Program. Dr. Edwards enjoys running, swimming, and cycling and spending time with his family. He and his wife, Corinne, are the parents of five wonderful children and live near Columbia, MD.
This course is intended to prepare students lacking an appropriate background for graduate study in electrical and computer engineering. Signal and system representations and analysis tools in both continuous time and discrete time are covered. Linear time-invariant systems are defined and analyzed. The Fourier transform, the Laplace transform, and the z-transform are treated along with the sampling theorem. Finally, fundamental concepts in probability, statistics, and random processes are considered. Prerequisite(s): Two or more semesters of calculus and differential equations. Course Note(s): Not for graduate credit.
Foundation Prerequisites for Cybersecurity Majors:EN.605.621 AND EN.695.601 AND EN.695.641
To prepare students for graduate course work in the JHU-EP Electrical and Computer Engineering Program.
- To prepare students for graduate course work in the JHU-EP Electrical and Computer Engineering Program.
When This Course is Typically Offered
Spring and Fall Semesters (Offered Online)
- Linear Time-Invariant (LTI) Systems
- Fourier Series
- Fourier Transforms
- Laplace Transforms
- Fourier Analysis (Continous)
- Fourier Analysis (Discrete)
- Linear Feedback Systems
- Concepts of Probability
- Random Variables
Student Assessment Criteria
Course is graded based on instructors evaluation of student's understanding of fundamental concepts and his or her preparation to perform graduate-level course work in the JHU-EP Electrical and Computer Engineering Program. This course is not for graduate credit.
Students are expected to attend lectures and complete assignments. We will be as flexible as we can with travel requirements imposed by employers.
Textbook information for this course is available online through the MBS Direct Virtual Bookstore.
There are notes for this course.
Final Words from the Instructor
See MBS For Textbook List
Term Specific Course Website
(Last Modified: 12/07/2015 02:44:45 PM)