Syllabus: CAP 4601 Introduction to Artificial Intelligence Fall 2023
This class aims to introduce the essential concepts of artificial intelligence and the design of intelligent agents. It provides an in-depth exploration of fundamental problem-solving techniques and knowledge representation frameworks within the field of AI. Students will become familiar with the AI programming language LISP, as well as techniques like state-space analysis, problem reduction, heuristic and brute-force search methods, planning strategies, two-player game theory, and recent advancements in game AI. In the realm of knowledge representation and reasoning, the course focuses both propositional and first-order logic, along with their respective inference algorithms. Lastly, students will be exposed to probabilistic approaches in AI, including Bayesian Networks, Causal Inference, and Machine Learning algorithms.
This course requires knowledge of basic computer science, algorithms and complexity, and programming principles.
Artificial Intelligence: A Modern Approach, Author: Stuart Russell, Peter Norvig, Publisher: Pearson, Edition: 4th, Year Published: 2021, Copyright Year: 2021.
Time: Monday and Wednesday 4:50PM - 6:05PM
Location: HCB 0216
Instructor: Ang Li (Email: angli at cs dot fsu dot edu)
The instructor’s office hour is Wednesday 2:00PM-4:00PM at 160 Love Building.
Teaching Assistant: Chutian Jiang (Email: email@example.com)
The TA’s office hour is: Monday 10:00AM-12:00PM and Wednesday 10:00AM-11:00AM at 170 Love Building.
Teaching Assistant: Vivek Vardhan Reddy Yannam (Email: firstname.lastname@example.org)
The TA’s office hour is: Friday 9:45AM-11:15PM at 170 Love Building.
Course Website: https://www.causalds.org/teaching/cap-4601
Grades will be computed based on the following factors:
There will be one midterm and then final. The exam is open book and note, and mostly multiple choice questions. You are not allowed to discuss with other people.
There will be extra credit questions on midterm and final.