CS491-07 (CRN 65705)

and CS591-04

Fall 2024

Advanced Expert Systems


Instructor: Henry Hexmoor

D2L

Time: TR 11:00am-12:30pm
Place: EGRA
308

 

Last updated: April 22, 2024

Course Description:

Foundation models are a recent class of AI models that are large-scale in terms of number of parameters and are trained on broad data. This course will outline the fundamental concepts of foundation models including the capabilities of pre-trained models for AI-powered applications. Topics covered include Transformers, Large Language Models such as GPT- 4, Diffusion models, generative modeling, and multi-modal foundation models. There is no required textbook, and we will be mostly reading publicly available research papers. The papers will be mostly from major conferences. This course is suitable for students who are willing and able to learn abstract concepts, complete programming assignments, develop a project, and produce a term paper.

Team project is a key part of this course. Each project will demonstrate a salient application of interest to students. 

Objective: The course will provide skills to investigate digital forensic incidence handling and analysis as well as recommend security mitigations.

The course will offer skills to conduct incidence response, and subsequent handling.

Course administration and grading.The course will be run as a regular lecture class with four indiviual home works (15 points each--60 points in all); Project presentation and report (30 points), One mid-sem presentation (10 points), Teaming is Required.

Textbooks:

All reading material will be suggested by the instructor.

Official Textbook:

Dan Jurafsky and James H. Martin, 2023, Natural Language Processing, 3rd edition (in draft form), Prentice Hall, ISBN not known.


Emergency Procedures: Southern Illinois University Carbondale is committed to providing a safe and healthy environment for study and work. Because some health and safety circumstances are beyond our control, we ask that you become familiar with the SIUC Emergency Response Plan and Building Emergency Response Team (BERT) program. Emergency response information is available on posters in buildings on campus, available on BERT's website at www.bert.siu.edu, Department of Safety's website www.dps.siu.edu (disaster drop down) and in Emergency Response Guideline pamphlet. Know how to respond to each type of emergency.

Useful Links: To find research papers, citeseer and Google scholar, DBLP

Email: Henry Hexmoor