ECE 498

Fall 2020 All Classes

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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 fall 2020
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
55024	Online	AA	2:00PM -2:50PM	MWF	n.a.	Aggarwal, A	Part of Term: 1 Date Range: 08/24/20-12/09/20 Credit: 3 hours Section Title: Neuromorphic VLSI Design
70806	Online	AC3	11:00AM -12:20PM	TR	n.a.	Khurana, D	Part of Term: 1 Date Range: 08/24/20-12/09/20 Credit: 3 hours Section Title: Applied Cryptography Section Info: Prerequisites: ECE 422 / CS 461 or equivalent, or ECE 428 / CS 425 or equivalent. Cryptography is a powerful toolbox for building secure systems - not just for private communication, but also for building fault tolerant protocols, for securely outsourcing computation to untrusted services, and more. The goal of this course is to introduce the concepts of modern cryptography, including a combination of theoretical foundations (how do we precisely state security guarantees and assumptions, and prove that a protocol is designed correctly?) and practical techniques (how do we combine secure primitives to make effective systems?). This course is intended for senior undergraduate students with an interest in applying cryptographic techniques to building secure systems, and for graduate students with an interest in cryptography or systems security. Restriction(s): Restricted to students with Senior or Graduate class standing.
70807	Online	AC4	11:00AM -12:20PM	TR	n.a.	Khurana, D	Part of Term: 1 Date Range: 08/24/20-12/09/20 Credit: 4 hours Section Title: Applied Cryptography Section Info: Prerequisites: ECE 422 / CS 461 or equivalent, or ECE 428 / CS 425 or equivalent. Cryptography is a powerful toolbox for building secure systems - not just for private communication, but also for building fault tolerant protocols, for securely outsourcing computation to untrusted services, and more. The goal of this course is to introduce the concepts of modern cryptography, including a combination of theoretical foundations (how do we precisely state security guarantees and assumptions, and prove that a protocol is designed correctly?) and practical techniques (how do we combine secure primitives to make effective systems?). This course is intended for senior undergraduate students with an interest in applying cryptographic techniques to building secure systems, and for graduate students with an interest in cryptography or systems security. Restriction(s): Restricted to students with Senior or Graduate class standing.
72067	Online	EC3	3:00PM -4:20PM	TR	n.a.	Chitambar, E	Part of Term: 1 Date Range: 08/24/20-12/09/20 Credit: 3 hours Section Title: Quantum Info Processing Theory Section Info: This course introduces the basic concepts and principles of quantum computing and quantum communication theory. Roughly 20% of the course will be devoted to teaching the necessary mathematical tools of quantum information processing, 30% to quantum computing, 40% to quantum communication, and 10% to device-independent quantum information theory. The specific topics covered in this course are chosen to reflect areas of high interest within the research community over the past two decades. By the end of the semester, the student should be equipped with enough background and technical skill set to begin participating in quantum information research. Required: MATH 286 or introductory course in linear algebra. Recommended: ECE 487 or introductory course in quantum mechanics, ECE 313 or introductory course in probability/statistics. Restriction(s): Not intended for Graduate - Urbana-Champaign.
72068	Online	EC4	3:00PM -4:20PM	TR	n.a.	Chitambar, E	Part of Term: 1 Date Range: 08/24/20-12/09/20 Credit: 4 hours Section Title: Quantum Info Processing Theory Section Info: This course introduces the basic concepts and principles of quantum computing and quantum communication theory. Roughly 20% of the course will be devoted to teaching the necessary mathematical tools of quantum information processing, 30% to quantum computing, 40% to quantum communication, and 10% to device-independent quantum information theory. The specific topics covered in this course are chosen to reflect areas of high interest within the research community over the past two decades. By the end of the semester, the student should be equipped with enough background and technical skill set to begin participating in quantum information research. Required: MATH 286 or introductory course in linear algebra. Recommended: ECE 487 or introductory course in quantum mechanics, ECE 313 or introductory course in probability/statistics. Restriction(s): Not intended for Graduate - Urbana-Champaign.
72069	Online	ECG	ARRANGED	TR	n.a.	Chitambar, E	Part of Term: 1 Date Range: 08/24/20-12/09/20 Credit: 4 hours Section Title: Quantum Info Processing Theory Section Info: This course introduces the basic concepts and principles of quantum computing and quantum communication theory. Roughly 20% of the course will be devoted to teaching the necessary mathematical tools of quantum information processing, 30% to quantum computing, 40% to quantum communication, and 10% to device-independent quantum information theory. The specific topics covered in this course are chosen to reflect areas of high interest within the research community over the past two decades. By the end of the semester, the student should be equipped with enough background and technical skill set to begin participating in quantum information research. Required: MATH 286 or introductory course in linear algebra. Recommended: ECE 487 or introductory course in quantum mechanics, ECE 313 or introductory course in probability/statistics. Restriction(s): Not intended for Undergrad - Urbana-Champaign.
75510	Lecture	ECI	3:00PM -4:20PM	TR	Location Pending	Chitambar, E	Part of Term: 1 Date Range: 08/24/20-12/09/20 Credit: 4 hours Section Title: Quantum Info Processing Theory Section Info: This course introduces the basic concepts and principles of quantum computing and quantum communication theory. Roughly 20% of the course will be devoted to teaching the necessary mathematical tools of quantum information processing, 30% to quantum computing, 40% to quantum communication, and 10% to device-independent quantum information theory. The specific topics covered in this course are chosen to reflect areas of high interest within the research community over the past two decades. By the end of the semester, the student should be equipped with enough background and technical skill set to begin participating in quantum information research. Required: MATH 286 or introductory course in linear algebra. Recommended: ECE 487 or introductory course in quantum mechanics, ECE 313 or introductory course in probability/statistics.
54991	Online	GP	11:00AM -12:20PM	TR	n.a.	Popescu, G	Part of Term: 1 Date Range: 08/24/20-12/09/20 Credit: 3 hours Section Title: Fourier Optics Section Info: This course aims to introduce the student to the power of using the Fourier transform in understanding Optics. The goal of this 400-level course is to stimulate interest in Optics and provide a set of tools that can be applied to future optics-related courses and research. The course will begin with a brief review of the superposition principle and linear systems. Then the Fourier transfrom and its properties will be discussed separately in 1D, 2D, and 3D. The second part of the course will be dedicated to appying these properties to understaning behavior of optical fields. We wil discuss separately field propagation in the spatial and temporal domain, emphasizing the similarity of the mathematical description and the importance of spectral phase in both cases. Prerequisites: ECE 329
51703	Online	JZ	11:00AM -12:20PM	TR	n.a.	Zhou, J	Part of Term: 1 Date Range: 08/24/20-12/09/20 Credit: 3 hours Section Title: Radio-Frequency IC Design Section Info: This course will cover basic principles of modern wireless transceiver design using integrated circuit technology at radio frequency (100 MHz to 6 GHz) for wireless communication applications, such as 5G and WiFi. Building upon the circuit skills learned from ECE 342 “Electronic Circuits”, this new course teaches analysis and design of integrated circuits that operate at much higher frequencies and for wireless communications in specific. In addition, the electromagnetic fields and waves fundamentals in ECE 329 “Fields and Waves I” will be applied to modern wireless communication systems in this new course. Prerequisites: ECE 342, ECE 329
72070	Online	NSU	11:00AM -12:20PM	TR	n.a.	Shanbhag, N	Part of Term: 1 Date Range: 08/24/20-12/09/20 Credit: 3 hours Section Title: Deep Learning in Hardware Section Info: 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.
31768	Online Lecture	ON1	11:00AM -12:20PM	TR	n.a.	Zhou, J	Part of Term: 1 Date Range: 08/24/20-12/09/20 Special Approval: Instructor Approval Required Credit: 3 hours Section Title: Radio-Frequency IC Design Section Info: Please note that this section is only for online, degree and non-degree students and the tuition rate is $1,110 per credit hour. Restriction(s): Restricted to MS: Civil Engr - Online - UIUC, MS:Industrial Engr Online-UIUC, MS:Mechanical Engineerng -UIUC, MS:Env Engr CivilEngr ONL-UIUC, MS:Electr & Computer Eng-UIUC, PHD:Electr & Computer Eng-UIUC, MS: Aerospace Engr-Online-UIUC, MENG:Engr:Energy Sys Onl-UIUC, NDEG:Grad Nondegree-CE-UIUC, NDEG:Undergrad Nondeg-CE-UIUC, MENG:Mech Engineering Onl-UIUC, MENG:Bioeng:Gen Bioeng On-UIUC, MENG:Bioeng:Comp Gen Onl -UIUC, MENG:Bioeng:Bioinstr Onl -UIUC, MENG:Bioengr:Pharm ONL- UIUC, MENG:Engr:AeroSys Online- UIUC, MENG:Engr:Plasma Online-UIUC, MENG:Elec & Computer Eng-UIUC, or MENG:Elec & Comp Eng ONL -UIUC.
31770	Online Lecture	ON2	2:00PM -2:50PM	MWF	n.a.	Aggarwal, A	Part of Term: 1 Date Range: 08/24/20-12/09/20 Credit: 3 hours Section Title: Neuromorphic VLSI Design Section Info: Please note that this section is only for online, degree and non-degree students and the tuition rate is $1,110 per credit hour. Restriction(s): Restricted to MS: Civil Engr - Online - UIUC, MS:Industrial Engr Online-UIUC, MS:Mechanical Engineerng -UIUC, MS:Env Engr CivilEngr ONL-UIUC, MS:Electr & Computer Eng-UIUC, PHD:Electr & Computer Eng-UIUC, MS: Aerospace Engr-Online-UIUC, MENG:Engr:Energy Sys Onl-UIUC, NDEG:Grad Nondegree-CE-UIUC, NDEG:Undergrad Nondeg-CE-UIUC, MENG:Mech Engineering Onl-UIUC, MENG:Elec & Computer Eng-UIUC, MENG:Elec & Comp Eng ONL -UIUC, MENG:Bioeng:Gen Bioeng On-UIUC, MENG:Bioeng:Comp Gen Onl -UIUC, MENG:Bioeng:Bioinstr Onl -UIUC, MENG:Bioengr:Pharm ONL- UIUC, MENG:Engr:AeroSys Online- UIUC, or MENG:Engr:Plasma Online-UIUC.
73699	Online	SM	2:00PM -3:20PM	MW	n.a.	Mitra, S	Part of Term: 1 Date Range: 08/24/20-12/09/20 Credit: 4 hours Section Title: Autonomous Systems Section Info: This course introduces techniques for building autonomous systems such as such as autonomous cars, delivery drones, and manufacturing robots, and techniques for performing their safety analysis. It covers key algorithms and approaches in perception, modeling, motion planning, control, and safety analysis, with a view towards understanding their basic assumptions and performance guarantees. The course also provides exposure to some of the state-of-the-art software tools for control, simulation, and analysis. Students will get experience through labs, programming assignments, and they will perform hands-on laboratory work on the Polaris GEM autonomous vehicle platform. Prerequisities: ECE 220, 313.
31771	Online	YVS	2:00PM -3:20PM	MW	n.a.	Shao, Y	Part of Term: 1 Date Range: 08/24/20-12/09/20 Credit: 4 hours Section Title: Engineering EM Compatibility Section Info: Engineering Electromagnetic Capability. This course will provide an overview of how light interacts with materials. Although such interaction is most rigorously described using quantum mechanics, the approach used here is mainly classical. We will first introduce classical dipole oscillators coupled with Maxwell’s equations. We will study the linear optical properties (dielectric function, susceptibility, refraction, dispersion and absorption) of gases, liquids and solids, including metals, semiconductors, and dielectrics. We will also study dispersion relations, which allow us to completely describe the dielectric function of a material by only measuring the full spectrum of a single property. We will consider how quantum mechanics modifies our picture of the optical properties of materials. The effect of magnetic polarization will be considered, as we look at optical activity and Faraday rotation. In addition, we will study nonlinear contributions to the polarization, and understands how nonlinearity leads to the generation of new frequencies and to irradiance-dependent refractive index and absorption. Finally, we will introduce the unique interactions of light with artificial materials such as metamaterials. Prerequisites: ECE 210 and ECE 329, or consent of instructor. Restriction(s): Restricted to Undergrad - Urbana-Champaign.