Clinton L. Edwards is a member of the Senior Professional Staff at the The Johns Hopkins University (JHU) Applied Physics Laboratory. He received the B.S., M.S., and Ph.D. degrees in Electrical Engineering from The University of Maryland, College Park. During his time with APL, he has worked in the areas of free-space optical communications and laser scanning as well as modeling stochastic processes relating to foliage penetration and enhanced tracking algorithms for IR cameras. He is a member of The Johns Hopkins University Electrical and Computer Engineering Program Committee. His Ph.D. research included first-principles modeling and validation of the pointing and jitter performance of two-axis (tip-tilt) MEMS mirrors. He has authored papers that appear in the Journal of Applied Optics, the Journal of Micro/Nanolithography, MEMS and MOEMS and the IEEE Journal of Microwave Theory and Techniques as well as conference proceedings. Dr. Edwards is a member of Eta Kappa Nu and Tau Beta Pi.
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. Applications to linear feedback systems are studied. Finally, fundamental concepts in probability, statistics, and random processes are considered. The course does not count toward the Master of Science in Electrical and Computer Engineering degree. (Not for Graduate credit)
To prepare students for graduate course work in the JHU-EP Electrical and Computer Engineering Program.
Summer Session II (APL Campus)
| Instructor's Assessment | 100% |
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.
ECE Fundamentals I (525.202) will be taught by a series of ECE instructors in modular format.
The books that are required are from the Schaum's Outline Series.
Schaum's Outline of Signals and Systems (ISBN 978-0070306417)
Schaum's Outline of Feedback and Control Systems (ISBN 978-0070170520)
Schaum's Outline of Probability (ISBN 978-0071352031)
Schaum's Outline of Probability, Random Variables, and Random Processes (ISBN 978-0070306448)
(Last Modified: 04-09-2009 at 3:24:40 PM)