ECE 110
Introduction to Electrical and Computer Engineering
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Section  Type  Times  Days  Location  Instructor 

AB0  LAB  1200  1450  F  146 Everitt Lab  Patricia Franke Alexander Duda Michael Jo 
AB1  LAB  0850  1140  M  146 Everitt Lab  Patricia Franke Ramin Anushiravani Sabareeshkumar Ravikumar 
AB2  LAB  1050  1340  T  146 Everitt Lab  Patricia Franke Yuchen He Dennis Matthews 
AB3  LAB  1050  1340  W  146 Everitt Lab  Patricia Franke Jacob Bryan Di He 
AB4  LAB  1050  1340  R  146 Everitt Lab  Patricia Franke Yuchen He Shishir Sethiya 
AB5  LAB  0850  1140  F  146 Everitt Lab  Patricia Franke Alexander Duda Michael Jo 
AB6  LAB  1200  1450  M  146 Everitt Lab  Patricia Franke Feng Chen Kevin Schmid 
AB7  LAB  1400  1650  T  146 Everitt Lab  Patricia Franke Dennis Matthews Yukun Ren 
AB8  LAB  1400  1650  W  146 Everitt Lab  Patricia Franke Di He Corinne Nakashima 
AB9  LAB  1400  1650  R  146 Everitt Lab  Patricia Franke Colin Madigan Corinne Nakashima 
ABA  LAB  1510  1800  M  146 Everitt Lab  Patricia Franke Ryan Steinbach Xiang Zhao 
ABB  LAB  1710  2000  T  146 Everitt Lab  Patricia Franke Sabareeshkumar Ravikumar Ryan Steinbach 
ABC  LAB  1710  2000  W  146 Everitt Lab  Patricia Franke Feng Chen Shishir Sethiya 
ABD  LAB  1710  2000  R  146 Everitt Lab  Patricia Franke Kevin Schmid Elias WilkenResman 
ABE  LAB  1510  1800  F  146 Everitt Lab  Patricia Franke Ashutosh Dhar Elias WilkenResman 
AL1  LEC  0900  0950  M W F  151 Everitt Lab  Lippold Haken Christopher Schmitz 
AL2  LEC  1300  1350  M W F  213 Gregory Hall  Serge Minin Christopher Schmitz 
AL3  LEC  1500  1550  M W F  151 Everitt Lab  Christopher Schmitz 
BB0  LAB  1200  1450  F  146 Everitt Lab  Patricia Franke 
BB1  LAB  0850  1140  M  146 Everitt Lab  Patricia Franke 
BB2  LAB  1050  1340  T  146 Everitt Lab  Patricia Franke 
BB3  LAB  1050  1340  W  146 Everitt Lab  Patricia Franke 
BB4  LAB  1050  1340  R  146 Everitt Lab  Patricia Franke 
BB5  LAB  0850  1140  F  146 Everitt Lab  Patricia Franke 
BB6  LAB  1200  1450  M  146 Everitt Lab  Patricia Franke 
BB7  LAB  1400  1650  T  146 Everitt Lab  Patricia Franke 
BB8  LAB  1400  1650  W  146 Everitt Lab  Patricia Franke 
BB9  LAB  1400  1650  R  146 Everitt Lab  Patricia Franke 
BBA  LAB  1510  1800  M  146 Everitt Lab  Patricia Franke 
BBB  LAB  1710  2000  T  146 Everitt Lab  Patricia Franke 
BBC  LAB  1710  2000  W  146 Everitt Lab  Patricia Franke 
BBD  LAB  1710  2000  R  146 Everitt Lab  Patricia Franke 
BBE  LAB  1510  1800  F  146 Everitt Lab  Patricia Franke 
Web Page  http://courses.engr.illinois.edu/ece110/ 

Official Description  2 or 4 hours credit. Integrated introduction to selected fundamental concepts and principles in electrical and computer engineering: circuits; electromagnetics; communications; electronics, controls; computing. Laboratory experiments and lectures focus on a design and construction project, such as an autonomous moving vehicle. Course Information: Credit is not given for both ECE 110 (4 hours) and ECE 109. 2 hours of credit is the lab only portion and requires approval of the instructor and department. Prerequisite: Credit or concurrent registration in MATH 220 or MATH 221. Class Schedule Information: Students must register for one lab and one lecture section. 
Subject Area  Core Curriculum 
Course Prerequisites  Credit or concurrent registration in MATH 220 or MATH 221 or MATH 231 or MATH 241 or MATH 286 or MATH 285 
Course Directors 
Christopher Schmitz

Detailed Description and Outline 
ECE 110 is a freshman engineering course. Its goals are to excite students about the study of electrical and computer engineering by exposing them early in their education to electrical components and their application in systems, and to enhance their problem solving skills through analysis and design. Topics:

Computer Usage 
Tutorials and homework quizzes are on the World Wide Web. Homework problems are computer graded. Students must be able to use a Web browser. 
Topical Prerequisities 

Texts 
Class Notes. Future text to be announced. 
ABET Category 
Engineering Science: 75% Engineering Design: 25 
Course Goals 
The goal of the ECE110 freshman engineering course is to introduce students in their freshman year to the electrical devices and circuits used in modern power and information systems and to simultaneously develop basic modeling and analytical skills that are used to analyze and design such systems. The devices are taught in a historical context, and, for the most part, the analytical skills are limited to simple algebraic and geometric techniques. It is a 4 credit hour lecture/laboratory course in which students learn about electrical instruments, motors, generators, diodes, transistors, amplifiers, digital circuits, microprocessors, sensors, feedback control, and power and information systems. In the lecture the students learn (1) how a number of electrical devices and systems work, (2) how to construct simple mathematical behavioral models for these devices, and (3) how to design and perform simple analyses of circuits and systems containing these devices. In the laboratory the students experiment with various modules containing these devices, and in the final four weeks of the laboratory student teams compete in a design challenge. Currently the challenge is to design an autonomous vehicle capable of navigating a meandering course marked by a white tape. 
Instructional Objectives 
Fundamentals (1.5 weeks): IEEE Code of Ethics. Understand voltage, current, electrical conduction, Ohm's law, power, energy, and be able to compute electrical power and energy for DC voltages and currents; understand the meaning of and be able to compute average power and the rms value of voltage and current for certain classes of timevarying waveforms. (a,e,f,k,m) DC Circuit Analysis (2 weeks): be able to apply Kirchhoff's laws to a circuit and to compute the circuit's node voltages using the nodal method. (a,e,k,m) Equivalent Circuits (1 week): be able to reduce a circuit containing resistors and independent sources to a simple equivalent circuit using series/parallel reduction techniques and the Thevenin and Norton theorems. (a,e,k,m) Magnetic Devices (1 week): for simple geometries compute, (1) the strength of the magnetic field in an electromagnet, (2) the force on a current carrying conductor in a magnetic field, and (3) the voltage induced across the terminals of a conductor in a timevarying magnetic field; understand the operation of various electromagnetic devices, e.g., relays, motor/generators, and other types of electromagnetic transducers. (a,e,k,m) Diodes (1 week): understand the operation of the semiconductor diode and be able to construct simple piecewise linear models of a diode's iv characteristics; analyze and design simple rectifier, voltage regulator, LED, and photodiode circuits. (a,c,e,k,m) Transistors (2 weeks): understand how current flow is controlled in the BJT and MOS transistors; be able to construct simple piecewise linear models from the input and output characteristics of the common emitter BJT; analyze the switching behavior of the BJT inverter and compute its voltage and current gain in the active region graphically and with piecewise linear models; understand the operation of the CMOS NOR and NAND gates; use a simple switch model to construct the truth tables for CMOS logic gates. (a,c,e,k,m) Digital Logic (3 weeks): understand the logical operations of basic combinatorial digital circuits, e.g., NOT, OR, AND, NOR, NAND, XOR, MUX, and the comparator; be able to construct the truth table, the Boolean function, and the timing diagram for combinatorial digital logic circuits; design a digital logic circuit from a truth table specification using the sumofproduct method; design a more complex logic circuit from a specified set of simpler logic circuits; minimize simple Boolean expressions using the Boolean identities; be able to convert between binary and decimal numbers and to understand the operation of the full adder circuit and the seven segment display circuit; understand the operation of basic sequential logic circuits, e.g., Dtype and JKtype flipflops, binary counters, and registers. (a,c,e,k,m) Digital Information and Systems (2 weeks): understand basic concepts of digital information coding, sampling, communication, storage, error detection and correction methods, compression techniques, security, secret encoding, and network architectures. Be able to study potential aliasing problems for signal sampling, and digital imaging. Be able to convert between information and digital coding using ASCII, parity bit techniques, bar codes. Be able to compress information using the Huffman code, and generate the code tree. Be able to code information using famous ciphers, such as the Caesar cipher, or Vigenere cipher. Understand recent developments in computer encryption, and the concept of public key cryptography. Be able to generate a pseudorandom generator sequence (a,e,h,j,k,m). Invited Speakers (0.5 weeks): understand basic concepts in ongoing research in selected subareas of electrical and computer engineering, e.g. nanotechnology, power and energy systems, and biomedical imaging and bioengineering and acoustics, and about future coursework in the major such as senior design. (h,j) Post Midterm Exam Reviews (1 week): identify sources of confusion and error and common misconceptions on the exam. (a, b, c, e, k, m) Revised January 2013 