ECE 598

Fall 2024 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.

May be repeated in the same or separate terms if topics vary.

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ECE 598 class schedule data for fall 2024
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
79795	Lecture	AL1	5:00PM -7:50PM	M	3015 Electrical & Computer Eng Bldg	Nicol, D	Part of Term: 1 Date Range: 08/26/24-12/11/24 Credit: 4 hours Section Title: Trust Critical Infrastructure Restriction(s): Restricted to Graduate - Urbana-Champaign.
37038	Lecture	HZ	2:00PM -3:20PM	TR	3015 Electrical & Computer Eng Bldg	Zhang, H	Part of Term: 1 Date Range: 08/26/24-12/11/24 Credit: 4 hours Section Title: Adv Topics in Machine Learning Section Info: This course will explore advanced research topics at the intersection of machine learning and formal verification methods. It will discuss the verification problems that arise in machine learning applications, such as rigorously proving their robustness, safety, fairness, and correctness. The course will discuss state-of-the-art formal verification techniques that are applicable to practical machine learning models, such as deep neural networks and tree ensembles, and also how to train machine learning models that follow formal specifications. In addition, it will discuss the novel use of machine learning (including foundation models and large language models) in the field of formal methods and math.
79768	Lecture-Discussion	YS	12:30PM -1:50PM	TR	3020 Electrical & Computer Eng Bldg	Chen, Y	Part of Term: 1 Date Range: 08/26/24-12/11/24 Credit: 4 hours Section Title: Super-Res Biomed Imaging Section Info: Course Title: Super-Resolution Biomedical Imaging – Methods, Algorithms and Applications Catalog Description: This graduate-level course offers a comprehensive exploration into the cutting-edge field of super-resolution biomedical imaging, covering a wide array of modalities, including optical, acoustic, MRI, CT, and PET imaging. This course is designed for students with a background in electrical and computer engineering, biomedical engineering, medical physics, or a related field, aiming to equip students with a deep understanding of the principles, computational strategies, and practical applications of super-resolution techniques in biomedical sciences. Prerequisites: ECE 460 or PHYS 402, or consent of the instructor.