ECE 498

Spring 2025 All Classes

All Classes

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 spring 2025
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
77294	Lecture	BH3	9:30AM -10:50AM	TR	2100 Sidney Lu Mech Engr Bldg	Hu, B	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 3 hours Section Title: LLM Reasoning for Engineering Section Info: This course explores the cutting-edge intersection of large language models (LLMs) and machine reasoning, with a specific emphasis on their transformative potential in engineering disciplines. Modern LLMs, such as GPT, Claude, Gemini, and Llama, are foundation models with vast knowledge bases. These models have demonstrated significant potential in solving complex reasoning and coding tasks. But what do they offer engineers? This course addresses that question by examining LLM reasoning and its application to a range of engineering fields, including control systems, circuit design, power systems, signal processing, aerospace, and transportation engineering. Key topics include: How do LLMs function? How can they be leveraged for reasoning? What is the quality of LLM-generated reasoning for various engineering tasks? How much can we trust the engineering design solutions from LLMs? What are the fundamental limitations of LLM reasoning for engineering? What engineering benchmarks exist for evaluating LLM capabilities? How can LLM reasoning be integrated with domain-specific tools to create LLM agents? Finally, what are the future directions for building even more powerful reasoning machines for engineering applications? In addition to lectures, students will present the latest research papers, and team up to work on course projects. Restriction(s): Restricted to Undergrad - Urbana-Champaign.
77295	Lecture	BH4	9:30AM -10:50AM	TR	2100 Sidney Lu Mech Engr Bldg	Hu, B	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 4 hours Section Title: LLM Reasoning for Engineering Section Info: This course explores the cutting-edge intersection of large language models (LLMs) and machine reasoning, with a specific emphasis on their transformative potential in engineering disciplines. Modern LLMs, such as GPT, Claude, Gemini, and Llama, are foundation models with vast knowledge bases. These models have demonstrated significant potential in solving complex reasoning and coding tasks. But what do they offer engineers? This course addresses that question by examining LLM reasoning and its application to a range of engineering fields, including control systems, circuit design, power systems, signal processing, aerospace, and transportation engineering. Key topics include: How do LLMs function? How can they be leveraged for reasoning? What is the quality of LLM-generated reasoning for various engineering tasks? How much can we trust the engineering design solutions from LLMs? What are the fundamental limitations of LLM reasoning for engineering? What engineering benchmarks exist for evaluating LLM capabilities? How can LLM reasoning be integrated with domain-specific tools to create LLM agents? Finally, what are the future directions for building even more powerful reasoning machines for engineering applications? In addition to lectures, students will present the latest research papers, and team up to work on course projects. Restriction(s): Restricted to Graduate - Urbana-Champaign.
76192	Lecture	RK	8:00AM -9:20AM	TR	Location Pending	Wang, D	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 3 hours Section Title: Concepts in Computer Org & Des Section Info: This course is an intensive introduction to the fundamentals of computer architecture. Relying heavily upon the elementary principles taught in ECE 220, and ECE 385, we will discuss the basic design, or architecture, of computing hardware. Computer systems involve architecture design at many levels. We will focus on the instruction set architecture (ISA) level (the interface between the software and computing hardware) and the microarchitecture level (the computing hardware itself). We will examine to some extent, the level above the instruction set (the programming language level) and the level below the microarchitecture (the logic gate level) in order to deepen our understanding of computing systems. Prerequisites: ECE385 Restriction(s): Restricted to MENG:Elec & Computer Eng-UIUC.
77269	Discussion/ Recitation	SI	11:00AM -12:20PM	TR	2015 Electrical & Computer Eng Bldg	Dallesasse, J Espenhahn, L	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 3 hours Section Title: Semiconductor Innovations Section Info: This course explores technology innovation in the semiconductor field, and in particular technologies that have had or show promise for significant technical or commercial impact. Topics include wide bandgap semiconductors, photonic technologies & integrated photonics, and wafer bonding & 3D integration