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Schedule of Classes

 

Summer Session I 2021

 

Electrical & Computer Engineering
Yufeng Lu • BECC 4256 • 309-677-3564
ECE101Introduction to EE: DC Circuits (2 hours)
 01 Arr  ONLONL Jing Wang Online Course
ECE102Intro to EE: Digital Systems (3 hours)
 01 Arr  ONLONL Yufeng Lu Online Course
ECE103Intro to EE: Computers and Programming (3 hours)
 01 Arr  ONLONL Aleksander Malinowski Online Course
ECE302Probability, Statistics, and Random Processes for EE (3 hours)
Prerequisite: A minimum grade of C in: ECE 206
 01 Arr  ONLONL Suruz Miah Online Course
ECE409Special Topics (1 to 6 hours)
Prerequisite: Consent of instructor.
 01 Arr     Mohammed Imtiaz  
 "Mach Learning IoT"
ECE497Capstone Project System Level Design (1 hour)
Prerequisite: A minimum grade of C in ECE 301, ECE 302, ECE 303, and ECE 322. Concurrent enrollment in two core courses.
 01 Arr  ONLONL Staff Online Course
ECE571Real-time Operating Systems (3 hours)
Prerequisite: Graduate standing or a minimum grade of C in ECE 205 or equivalent. Not open to students with credit in ECE 471.
 01 Arr     Aleksander Malinowski  
 
Introduction to electrical engineering. Topics includes: voltage, current, and power, circuit elements, fundamentals of DC circuit analysis using Ohm's and Kirchoff's laws, Thevenin and Norton equivalent circuits, superposition, and DC analysis of operational amplifiers.
Introduction to logic design with focus on the following topics: fundamentals of Boolean algebra and minimization techniques, logic realizations of SOP and POS functions, multiple function synthesis using PLDs, combinational circuit design as it applies to computers, sequential circuit elements, flip flops, counters and shift-registers, clock generation circuits, algorithmic state machine method of designing sequential circuits, and VHDL design and synthesis. Course culminates with a design project that uses VHDL to implement a finite state machine.
Introduction to computers and operating systems; introduction to programming in a high level language appropriate to electrical engineering.
Exploration of probability, statistics and random processes with emphasis on engineering applications. Topics covered: probability models, probability axioms, statistical independence, conditional probability, random variables, probability distributions, joint probability density functions, correlation, covariance, statistical estimate of random parameters, sampling distributions, reliability, random processes, power spectral density, and response of LTI systems to random inputs. Simulation and analysis using MATLAB.
Topics of special interest which may vary each time course is offered. Topic stated in current Schedule of Classes.
The primary goal of this course is to have the student (and partner) choose a senior project and use a top-down design approach prior to implementation in senior lab. In addition, the student will serve on a Design Review Team (DRT) that will analyze other senior projects.
Advanced programming of small microprocessor-based systems using high-level programming languages applied to real situations: data acquisition, control, communication, small real-time operating systems. Software development for devices from a family of microcontrollers that is relevant to industrial applications. Cross-listed as ECE 471.
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