ECE 498

Fall 2022 All Classes

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Special Topics in ECE

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Credit: 1 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 fall 2022
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
72067	Lecture	EC3	3:30PM -4:50PM	TR	3013 Electrical & Computer Eng Bldg	Chitambar, E	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 3 hours Section Title: Quantum Info Processing Theory Section Info: This course surveys three main areas within quantum information theory: (I) Axioms and mathematical formalism, (II) Quantum communication and protocols, and (III) Nonlocality and entanglement theory. Specific topics include positive operators, quantum measurements and channels, quantum circuits, quantum state discrimination, quantum key distribution (QKD), superdense coding and teleportation, quantum entanglement and LOCC, nonlocality and Bell Inequalities, entanglement witnesses and measures. By the end of the course, the student should be equipped to begin participating in quantum information research. Prerequisites: PHYS 214, MATH 257, and ECE 313 (or equivalent courses). Restriction(s): Not intended for Graduate - Urbana-Champaign.
72068	Lecture	EC4	3:30PM -4:50PM	TR	3013 Electrical & Computer Eng Bldg	Chitambar, E	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Title: Quantum Info Processing Theory Section Info: This course surveys three main areas within quantum information theory: (I) Axioms and mathematical formalism, (II) Quantum communication and protocols, and (III) Nonlocality and entanglement theory. Specific topics include positive operators, quantum measurements and channels, quantum circuits, quantum state discrimination, quantum key distribution (QKD), superdense coding and teleportation, quantum entanglement and LOCC, nonlocality and Bell Inequalities, entanglement witnesses and measures. By the end of the course, the student should be equipped to begin participating in quantum information research. Prerequisites: PHYS 214, MATH 257, and ECE 313 (or equivalent courses). Restriction(s): Restricted to Graduate - Urbana-Champaign.
59104	Laboratory Lecture	HK HK	ARRANGED 11:00AM -11:50AM	n.a. R	Location Pending 0018 Campus Instructional Facility	Hanumolu, P Kumar, R Hanumolu, P Kumar, R	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Title: Advanced VLSI System Design Section Info: Student teams will design and fabricate their own digital, analog, or mixed-signal chip using modern electronic design automation tools and industry best practices. In this project-based course, each team will propose a design in the form of specifications, write a Verilog (or equivalent) and a synthesizable C++ (or equivalent) model for the chip or its components, design schematics, create a testing/debug strategy, and perform layout, integration, and verification of the chip before taping it out. The design files for fully functional designs will be sent for fabrication at the end of the semester. Students can test their devices as individual studies when the chips come back from the foundry. We will be requiring one of the team members to commit to enrolling in an independent study to test the chips. Roughly nine to eleven hours of lab work is expected per week. Prerequisites: Some prior experience with hardware design and layout will be necessary. ECE411 or ECE343 or ECE425 or ECE511 or ECE482 or ECE483 or ECE498JZ can be a pre-requisite.
47432	Lecture	NSG	11:00AM -12:20PM	TR	2013 Electrical & Computer Eng Bldg	Shanbhag, N	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Info: Resource - Constrained Machine Learning for Edge Applications. This course will present challenges in implementing deep learning algorithms on resource-constrained hardware platforms at the Edge such as wearables, IoTs, autonomous vehicles, and biomedical devices. Fixed-point requirements of deep neural networks and convolutional neural networks including the back-prop based training will be studied. Algorithm-to-architecture mapping techniques will be explored to trade-off energy-latency-accuracy in deep learning digital accelerators and analog in-memory architectures. Fundamentals of learning behavior, fixed-point analysis, architectural energy and delay models will be introduced in just-in-time manner throughout the course. Case studies of hardware (architecture and circuit) realizations of deep learning systems will be presented. Homeworks will include a mix of analysis and programming exercises in Python and Verilog leading up to a term project. Prerequisites: ECE 313 and ECE 385. Restriction(s): Restricted to Graduate - Urbana-Champaign.
72070	Lecture	NSU	11:00AM -12:20PM	TR	2013 Electrical & Computer Eng Bldg	Shanbhag, N	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 3 hours Section Title: Rsrc-Constr Mach Lrn Edge App Section Info: Resource - Constrained Machine Learning for Edge Applications. This course will present challenges in implementing deep learning algorithms on resource-constrained hardware platforms at the Edge such as wearables, IoTs, autonomous vehicles, and biomedical devices. Fixed-point requirements of deep neural networks and convolutional neural networks including the back-prop based training will be studied. Algorithm-to-architecture mapping techniques will be explored to trade-off energy-latency-accuracy in deep learning digital accelerators and analog in-memory architectures. Fundamentals of learning behavior, fixed-point analysis, architectural energy and delay models will be introduced in just-in-time manner throughout the course. Case studies of hardware (architecture and circuit) realizations of deep learning systems will be presented. Homeworks will include a mix of analysis and programming exercises in Python and Verilog leading up to a term project. Prerequisites: ECE 313 and ECE 385. Restriction(s): Not intended for Graduate - Urbana-Champaign.
52146	Lecture	SB3	10:00AM -10:50AM	MWF	3081 Electrical & Computer Eng Bldg	Bogdanov, S	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 3 hours Section Title: Manipulating Quantum Systems Section Info: Manipulation of Elementary Quantum Systems. A survey of the modern quantum technology landscape with an introduction to platforms including single photons, atoms, ions and superconducting qubits. Two-level systems and their coupling to electromagnetic fields. Basic protocols for quantum networks and quantum information processing. Elementary discussions of qubit interactions and noise. Prerequisites: PHYS 486 or ECE 398EC Restriction(s): Not intended for Graduate - Urbana-Champaign.
49449	Lecture	SB4	10:00AM -10:50AM	MWF	3081 Electrical & Computer Eng Bldg	Bogdanov, S	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Title: Manipulating Quantum Systems Section Info: Manipulation of Elementary Quantum Systems. A survey of the modern quantum technology landscape with an introduction to platforms including single photons, atoms, ions and superconducting qubits. Two-level systems and their coupling to electromagnetic fields. Basic protocols for quantum networks and quantum information processing. Elementary discussions of qubit interactions and noise. Prerequisites: PHYS 486 or ECE 398EC Restriction(s): Restricted to Graduate - Urbana-Champaign.
47825	Online Lecture	YH3	3:30PM -4:50PM	TR	n.a.	Chitambar, E	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 3 hours Section Info: This course surveys three main areas within quantum information theory: (I) Axioms and mathematical formalism, (II) Quantum communication and protocols, and (III) Nonlocality and entanglement theory. Specific topics include positive operators, quantum measurements and channels, quantum circuits, quantum state discrimination, quantum key distribution (QKD), superdense coding and teleportation, quantum entanglement and LOCC, nonlocality and Bell Inequalities, entanglement witnesses and measures. By the end of the course, the student should be equipped to begin participating in quantum information research. Prerequisites: PHYS 214, MATH 257, and ECE 313 (or equivalent courses). Restriction(s): Not intended for Graduate - Urbana-Champaign.
47826	Online Lecture	YH4	3:30PM -4:50PM	TR	n.a.	Chitambar, E	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Info: This course surveys three main areas within quantum information theory: (I) Axioms and mathematical formalism, (II) Quantum communication and protocols, and (III) Nonlocality and entanglement theory. Specific topics include positive operators, quantum measurements and channels, quantum circuits, quantum state discrimination, quantum key distribution (QKD), superdense coding and teleportation, quantum entanglement and LOCC, nonlocality and Bell Inequalities, entanglement witnesses and measures. By the end of the course, the student should be equipped to begin participating in quantum information research. Prerequisites: PHYS 214, MATH 257, and ECE 313 (or equivalent courses). Restriction(s): Restricted to Graduate - Urbana-Champaign.
77488	Lecture	YS3	3:30PM -4:50PM	TR	2015 Electrical & Computer Eng Bldg	Shao, Y	Part of Term: 1 Date Range: 08/22/22-12/07/22 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.
77489	Lecture	YS4	3:30PM -4:50PM	TR	2015 Electrical & Computer Eng Bldg	Shao, Y	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Title: Engr. Electromagnetics Compati 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.