ECE 498

Fall 2019 All Classes

All Classes

Special Topics in ECE

SHOW FINAL EXAM SCHEDULE

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.

My Favorites

My Schedule

Section Status updates every 10 minutes.

ECE 498 class schedule data for fall 2019
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
70806	Lecture	AC3	11:00AM -12:20PM	TR	2013 Electrical & Computer Eng Bldg	Miller, A	Part of Term: 1 Date Range: 08/26/19-12/11/19 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	Lecture	AC4	11:00AM -12:20PM	TR	2013 Electrical & Computer Eng Bldg	Miller, A	Part of Term: 1 Date Range: 08/26/19-12/11/19 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	Lecture	EC3	3:00PM -4:20PM	TR	3013 Electrical & Computer Eng Bldg	Chitambar, E	Part of Term: 1 Date Range: 08/26/19-12/11/19 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	Lecture	EC4	3:00PM -4:20PM	TR	3013 Electrical & Computer Eng Bldg	Chitambar, E	Part of Term: 1 Date Range: 08/26/19-12/11/19 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	Lecture	ECG	3:00PM -4:20PM	TR	3013 Electrical & Computer Eng Bldg	Chitambar, E	Part of Term: 1 Date Range: 08/26/19-12/11/19 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.
72070	Lecture	NSU	11:00AM -12:20PM	TR	3015 Electrical & Computer Eng Bldg	Shanbhag, N	Part of Term: 1 Date Range: 08/26/19-12/11/19 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 342. Restriction(s): Not intended for Graduate - Urbana-Champaign.