CIS 5603. Artificial Intelligence

Section 001. Fall 2023

Syllabus

Instructor

Dr. Pei Wang
Email: pei.wang@temple.edu
Office: Room 347, Science Education and Research Center (SERC)
Office Hours: Tuesday/Thursday 3:30 - 5:00 pm, and by appointment (in person or on Zoom)

Time and Location

Lecture time: Thursday 5:30 - 8:00 PM
Classroom: Tuttleman Learning Center 402

Course Description

Artificial intelligence encompasses the algorithms and representations used to design computers and agents for problem-solving and learning. This course covers the classic and modern methods that support technology such as game-playing agents, autonomous vehicles, and virtual assistants. The topics covered include: search, reasoning, knowledge representation, and learning. The course is intended to prepare graduate students for further study in machine learning, data mining, robotics, and computer vision.

Course Objective

• To get a broad understanding of the basic problems and the proposed solutions in all major branches of artificial intelligence.
• To get some research experience in artificial intelligence by exploring certain topics in depth.

Schedule

See course website at http://www.cis.temple.edu/~pwang/5603-AI/5603-index.htm

Prerequisites

• Discrete Mathematics (set theory, mathematical logic, graph theory)
• Probability and Statistics
• Computer Programming (any language)
• Data Structure and Algorithm Analysis

Reference Materials [This course has no required course materials that must be purchased]

• Artificial Intelligence: Foundations of Computational Agents (Third Edition), by David Poole and Alan Mackworth, Cambridge University Press, 2023
• Artificial Intelligence: A Modern Approach (Fourth Edition), by Stuart Russell and Peter Norvig, Prentice Hall, 2020
• Artificial Intelligence: Structures and Strategies for Complex Problem Solving (Sixth Edition), by George Luger, Pearson (Addison-Wesley), 2009
• Online materials linked from the course webpage and lecture notes.

Grading

• Assignments: 40% (weekly, with late penalty)
• Project: 50% (individual or group)
• Participation: 10% (attendence and discussion)

Policies and Rules

• Temple has established a blanket policy on the use of generative AI tools. For this course, the use of such tools is allowed, though should be acknowledged.
• Attendance to all lectures is required. Late arrival or early leaving are not allowed except in special situations.
• No eating, talking, sleeping during the lectures.
• The Student Success Center services include the Writing Center, the PASS program, Academic Coaching, STEM tutoring, the Conversation Partners program, and more.
• Students should be familiar with the Student Conduct Code of the university.
• Temple University has a statement on the Student and Faculty Academic Rights and Responsibilities Policy, such as: Freedom to teach and freedom to learn are inseparable facets of academic freedom.
• Any student who has a need for accommodation based on the impact of a documented disability, including special accommodations for access to technology resources and electronic instructional materials required for the course, should contact me privately to discuss the specific situation by the end of the second week of classes or as soon as practical. If you have not done so already, please contact Disability Resources and Services (DRS) at 215-204-1280 in 100 Ritter Annex to learn more about the resources available to you. We will work with DRS to coordinate reasonable accommodations for all students with documented disabilities.