ECES 110: Introduction to Electrical and Computer Engineering

Instructor: Emmanuel Fernandez, Ph.D., Associate Professor, ECECS.
Room: Rhodes 837. Office 556-4785.
emmanuel@ececs.uc.edu.
http://www.ececs.uc.edu/~ececs110

DESCRIPTION:

In this course, students will be able to learn: fundamental engineering principles and practice as well as gain exposure to ethical, social, economic, and safety issues from readings, presentations, discussions, on-line exploration, and laboratory experiences.

LECTURE TOPICS:

1. Course Introduction
2. ECE careers
3. Introduction to computing
4. Information Encoding
5. Introduction to Digital Logic
6. Fundamentals of Programming
7. Computer Organization
8. Biographies in Electrical and Computer engineering
9. College survival skills
10. Engineering Library
11. Engineering ethics
12. Degree requirements and academic advisors
13. Co-op advisors

LAB TOPICS:

1. Crystal radio lab
2. Digital signal processing lab
3. Photonics
4. Digital electronics lab
5. Robolab, robot design and programming, intra-lab competition

COURSE DOCUMENTS (local copy):
>>click here (Restricted Access, username and password required)

ECES 251: Network Analysis II

Instructor: Emmanuel Fernandez, Ph.D., Associate Professor, ECECS.
Room: Rhodes 837. Office 556-4785.
emmanuel@ececs.uc.edu.
http://www.smitlab.uc.edu

TEXTBOOK:

Hayt and Kemmerly, Engineering Circuit Analysis, 5th Ed., McGraw Hill, 1993.

PREREQUIREMENTS: 20 ECES 250 Network Analysis I.

DESCRIPTION:

The goal of this course is to develop an understanding of the steady-state response of a network to sinusoidal forcing functions through the use of phasors and impedence concepts.

Topics:

•Sinusoidal forcing function
•Phasors
•Sinusoidal steady-state response
•Power and RMS values
•Complex frequency
•Resonance
•Magnetically coupled networks
•Two-port networks
•Tests

Computer Usage: SPICE solutions to linear electrical networks.

COURSE DOCUMENTS: >>click here (Restricted Access, username and password required)

ECES 741: Stochastic Decision & Control Processes

Instructor: Emmanuel Fernandez, Ph.D., Associate Professor, ECECS.
Room: Rhodes 837. Office 556-4785.
emmanuel@ececs.uc.edu.
http://www.smitlab.uc.edu

TEXTBOOK:

Dynamic Programming and Optimal Control: 2nd Edition by Dimitri P. Bertsekas
ISBNs: 1-886529-09-4 (Vol. I, 2ND EDITION), 1-886529-27-2 (Vol. II, 2ND EDITION), 1-886529-08-6 (Vol. I and II, 2ND EDITION, Two-Volume Set) Vol. I, 2ND EDITION, published Nov. 2000, 520 pages, hardcover Vol. II, 2ND EDITION, published Sept. 2001, 320 pages, hardcover.

URL: www.athenasc.com/dpbook.html

DESCRIPTION:

This course will present the fundamental concepts and modeling techniques of decision and control problems for discrete-time stochastic systems, and the use of Dynamic Programming. The methodology studied in the course will be illustrated via applications to

• The Linear Quadratic Gaussian Regulator (LQG);
• Inventory control, e.g., semiconductor manufacturing;
• Admission and flow control in queueing systems;
• Stochastic scheduling, e.g., fault isolation in telecom. networks;
• Dynamic investment portfolio analysis;
• Optimal stopping (asset selling, buying stocks, hiring personnel).

COURSE DOCUMENTS: >>click here (Restricted Access, username and password required)

ECES 841: Advanced Decision Processes

Instructor: Emmanuel Fernandez, Ph.D., Associate Professor, ECECS.
Room: Rhodes 837. Office 556-4785.
emmanuel@ececs.uc.edu.
http://www.smitlab.uc.edu

DESCRIPTION:

Application of principles of probability and statistics to the design and control of engineering, economic and logistic systems in a random or uncertain environment. Emphasis is placed on Bayesian decision analysis and other advanced topics.

PREREQUISITES:

A good background in probability, statistics and stochastic models, and some graduate courses in optimization, preferably stochastic dynamic programming.

 

COURSE DOCUMENTS: >>click here (Restricted Access, username and password required)