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Networks Design Projects
COMPSCI 1440R

Jointly Offered with: Faculty of Arts & Sciences as COMPSCI 2440R

Course Information

Description

In this course, students will learn how to utilize tools powered by large language models (LLMs) to address real-world design challenges, including the generation of code and circuits. This field represents the forefront of technology and is rapidly evolving, with new insights and lessons emerging frequently. For example, recent advancements in reasoning models have significantly improved the success rate of producing designs that are not only correct but also efficient. As a result, there is a growing emphasis on the computational efficiency of inference, which enhances deeper reasoning capabilities. Related research includes developing methods for automatically generating testbenches to evaluate and validate designs created by LLMs.

A student's work includes the following activities: (1) reviewing articles about various experiments that explore the use of LLM tools in design, (2) creating presentations based on these articles and delivering them in class, and (3) collaborating in teams of 2 or 3 on a design project that utilizes LLM-assisted tools, applying the knowledge gained from the literature.

Course Notes

Preference will be given to upper-class undergraduates or graduate students majoring in Computer Science or Electrical Engineering. Please note that this course was previously listed as CS 144R.

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Course Component Lecture
Grading Basis FAS Letter Graded
Exam/Final Deadline May 7, 2026
General Education N/A
Quantitative Reasoning with Data N/A
Divisional Distribution Science & Engineering & Applied Science
Course Level For Undergraduate and Graduate Students