ECE 498

Spring 2021 All Classes

All Classes

Special Topics in ECE

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Credit: 0 TO 4 hours.

Subject offerings of new and developing areas of knowledge in electrical and computer engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites.

0 to 4 undergraduate hours. 0 to 4 graduate hours. May be repeated in the same or separate terms if topics vary.

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ECE 498 class schedule data for spring 2021
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
39963	Online Lecture	CR	8:00AM -9:15AM	MW	n.a.	Radhakrishnan, C	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 3 hours Section Title: Digitally Asst Circuit Design Section Info: Digitally Assisted Circuit Design. Signal Processing in circuit design, Quantization, ADC, ADC specifications and non-idealities, Least mean square estimation, Adaptive signal processing, High speed communication links non-idealities, equalizers, decision feedback equalization, oversampling, noise-shaping, delta-sigma DAC, non-idealities in DACs, digital correction of delta-sigma DAC non-idealities. Prerequisites: ECE 310, ECE 342. This course will be offered synchronously.
68104	Online Lecture	DSG	12:30PM -1:50PM	MW	n.a.	Chen, H Cui, S Iyer, R Saboo, K	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 4 hours Section Title: Data Science & Analytics Restriction(s): Not intended for Undergrad - Urbana-Champaign.
68103	Online Lecture	DSU	12:30PM -1:50PM	MW	n.a.	Chen, H Cui, S Iyer, R Saboo, K	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 3 hours Section Title: Data Science & Analytics Restriction(s): Not intended for Graduate - Urbana-Champaign.
73034	Online Lab Online Lecture	GR GR	9:00AM -10:50AM 11:00AM -12:20PM	W TR	n.a. n.a.	Chowdhary, G Chowdhary, G	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 4 hours Section Title: Principles of Mobile Robotics Section Info: The objective of this course is to prepare students in designing and automating aerial and ground robots that operate in harsh, uncertain, and changing field environments. The course will cover three primary aspects of mobile robotics: Perception, Motion Control, and Data Analytics, and bring everything together through labs involving Ground robots and flying Unmanned Aircraft (Drones). Prerequisites: The specific prerequisites are MATH 221, MATH 225, MATH 241, MATH 285 or equivalent. Graduate standing is sufficient to waive prerequisite requirements for graduate students. Other cases will be evaluated on a case-by-case basis by the instructor. In general, students are expected to have taken introductory differential equations, introduction to probability and statistics, linear algebra, and software programming. Programming: An introductory knowledge of programming is essential for this course. You may choose any programming language that you are comfortable with for the problem sets and the laboratories. Most of the templates provided by the instructor will be in MATLAB. Furthermore, we might sometimes use code from online repositories, which may be in Python or C++. Both are easy languages to learn for what we want to do, and you will be fine if you haven’t used these languages before but know about programming in general.
69456	Online Lecture	ICC	11:00AM -12:20PM	TR	n.a.	Chen, D Xiong, J	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 4 hours Section Title: IoT and Cognitive Computing Section Info: This course offers in-depth coverage on existing and emerging IoT and cognitive computing topics. Detailed topics include definition and characteristics of IoT; IoT enabling technologies; smart domains and applications; IoT systems; IoT design methodology; machine learning and deep learning; embedded GPU and FPGA for IoT; IoT servers and cloud; data analytics for IoT; cognitive computing; cognitive systems design; cognitive application workloads; IoT security; hands-on learning experience to build IoT systems; and various case studies such as smart city, smart home, and IoT for healthcare. Machine problems working with actual IoT computing devices together with homework assignments will be given to reinforce the understanding and learning of the techniques and topics. Prerequisites: CS 225 or ECE 385. This course will be offered synchronously.
69711	Online Lab	IL1	10:00AM -11:55AM	M	n.a.	Chen, D Pan, J Xiong, J	Part of Term: 1 Date Range: 01/25/21-05/05/21 Section Title: IoT and Cognitive Computing Section Info: This can be completed synchronously or asynchronously.
69712	Online Lab	IL2	1:00PM -2:55PM	M	n.a.	Chen, D Li, J Xiong, J	Part of Term: 1 Date Range: 01/25/21-05/05/21 Section Title: IoT and Cognitive Computing Section Info: This can be completed synchronously or asynchronously.
46921	Online Lecture	N4O	10:00AM -10:50AM	MWF	n.a.	Allen, J	Part of Term: 1 Date Range: 01/25/21-05/05/21 Special Approval: Instructor Approval Required Credit: 4 hours Section Title: Neural Circuits and Systems Section Info: Neuroscience is the study of how neurons work. The mathematics of neuroscience have reached a level that it can fill a 3 hr course at the third year undergraduate level. This material is important for students who are interested in artificial neural networks and machine learning. The mathematics of neuroscience is a good training ground for extended the techniques of artificial neural networks and novel extensions of machine learning. Prerequisites: ECE 310, Math one of MATH 284, 285 or 286 (differential equations). An extra hour of credit is given for a student project (with approval of the instructor).
70830	Lecture	NS	10:00AM -10:50AM	MWF	3017 Electrical & Computer Eng Bldg	Allen, J	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 3 hours Section Title: Neural Circuits and Systems Section Info: Neuroscience is the study of how neurons work. The mathematics of neuroscience have reached a level that it can fill a 3 hr course at the third year undergraduate level. This material is important for students who are interested in artificial neural networks and machine learning. The mathematics of neuroscience is a good training ground for extended the techniques of artificial neural networks and novel extensions of machine learning. Prerequisites: ECE 310, Math one of MATH 284, 285 or 286 (differential equations)
46611	Lecture	NS4	10:00AM -10:50AM	MWF	3017 Electrical & Computer Eng Bldg	Allen, J	Part of Term: 1 Date Range: 01/25/21-05/05/21 Special Approval: Instructor Approval Required Credit: 4 hours Section Title: Neural Circuits and Systems Section Info: Neuroscience is the study of how neurons work. The mathematics of neuroscience have reached a level that it can fill a 3 hr course at the third year undergraduate level. This material is important for students who are interested in artificial neural networks and machine learning. The mathematics of neuroscience is a good training ground for extended the techniques of artificial neural networks and novel extensions of machine learning. Prerequisites: ECE 310, Math one of MATH 284, 285 or 286 (differential equations). An extra hour of credit is given for a student project (with approval of the instructor).
45293	Online Lecture	NSO	10:00AM -10:50AM	MWF	n.a.	Allen, J	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 3 hours Section Title: Neural Circuits and Systems Section Info: Neuroscience is the study of how neurons work. The mathematics of neuroscience have reached a level that it can fill a 3 hr course at the third year undergraduate level. This material is important for students who are interested in artificial neural networks and machine learning. The mathematics of neuroscience is a good training ground for extended the techniques of artificial neural networks and novel extensions of machine learning. Prerequisites: ECE 310, Math one of MATH 284, 285 or 286 (differential equations)
40108	Online Lecture	YS3	9:30AM -10:50AM	TR	n.a.	Shao, Y	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 3 hours Section Title: Engr Electromagnetic Compatib Section Info: Engineering Electromagnetic Compatibility. Electromagnetic compatibility (EMC) is the subject of building electronic systems which will work as intended in an electromagnetic environment. The systems shall not cause electromagnetic interference (EMI). Also, they are not susceptible to EMI from themselves or other systems. This course is designed to provide fundamental understanding of electromagnetic sources, different coupling mechanisms, how electronic devices are affected by the electromagnetic interference, and how to design electronic systems that comply with EMC standards. Topics range from EMC requirements for electronic systems; sources of electromagnetic noises; coupling mechanisms; radiated and conducted emissions and susceptibility; crosstalk, grounding, and shielding; as well as system design for EMC. Prerequisites: ECE 329 or consent of instructor. This course will be offered synchronously. Restriction(s): Not intended for Graduate - Urbana-Champaign.
40109	Online Lecture	YS4	9:30AM -10:50AM	TR	n.a.	Shao, Y	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 4 hours Section Title: Engr Electromagnetic Compatib Section Info: Engineering Electromagnetic Compatibility. Electromagnetic compatibility (EMC) is the subject of building electronic systems which will work as intended in an electromagnetic environment. The systems shall not cause electromagnetic interference (EMI). Also, they are not susceptible to EMI from themselves or other systems. This course is designed to provide fundamental understanding of electromagnetic sources, different coupling mechanisms, how electronic devices are affected by the electromagnetic interference, and how to design electronic systems that comply with EMC standards. Topics range from EMC requirements for electronic systems; sources of electromagnetic noises; coupling mechanisms; radiated and conducted emissions and susceptibility; crosstalk, grounding, and shielding; as well as system design for EMC. Prerequisites: ECE 329 or consent of instructor. This course will be offered synchronously. Restriction(s): Not intended for Undergrad - Urbana-Champaign.
44431	Online Lecture	ZP3	9:30AM -10:50AM	TR	n.a.	Peng, Z	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 3 hours Section Title: Wave Physics in Wireless Comm Section Info: Prerequisites: ECE 350, ECE 361, or consent of the instructor. Restriction(s): Restricted to Undergrad - Urbana-Champaign.
73035	Online Lecture	ZP4	9:30AM -11:20AM	TR	n.a.	Peng, Z	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 4 hours Section Title: Wave Physics in Wireless Comm Section Info: Prerequisites: ECE 350, ECE 361, or consent of the instructor Restriction(s): Restricted to Graduate - Urbana-Champaign.