CS540 Introduction to Artificial Intelligence

CS540, Fall 2024

Department of Computer Sciences

University of Wisconsin-Madison

# Course Information

 Course learning outcomes: Students gain principles of knowledge-based search techniques; automatic deduction, knowledge representation using predicate logic, machine learning, probabilistic reasoning. Students develop applications in tasks such as problem solving, data mining, game playing, natural language understanding, and robotics.

 Number of credits associated with the course: 3

 How credit hours are met by the course: This class meets for one 150-minute class periods each week over the semester and carries the expectation that students will work on course learning activities (reading, writing, problem sets, studying, etc) for about 3 hours out of classroom for every class period. The syllabus includes more information about meeting times and expectations for student work.

 Prerequisite: (COMP SCI 300 or 367) and (MATH 211, 217, 221, or 275) or graduate/professional standing or declared in the Capstone Certificate in Computer Sciences for Professionals.

 Time and Location: 
 Section 1: MW 4:00 - 5:15, 145 Birge Hall 
 Section 2: TR 2:30 - 3:45, 19 Ingraham Hall
 Section 3: TR 1:00 - 2:15, 5206 Sewell Social Sciences
 
 Textbook: Artificial Intelligence: A Modern Approach (4th edition). Stuart Russell and Peter Norvig. Pearson, 2020. ISBN 978-0134610993. (textbook is optional, but may be useful)

# Course Objectives

# Lecture Delivery

In the regular lecture time, we will have in-person class during which the instructor will lecture, the class will engage in Q&A, quizzes, and discussions.

Each lecture will be a series of short mini-lectures. The lecture will be divided into three blocks. In each block, the instructor will cover some content, and then deliver short quiz questions to clear up any confusion before proceeding to the next block. We would like, whenever possible, all students to participate in the quiz. The students can ask questions anytime during the lecture and can post questions on Piazza after class.

# Piazza

We will use Piazza for Q&A outside lectures. Please follow these rules:


 In summary: In class you will attend real-time mini-lectures by the instructor, ask and discuss questions, and take short quizzes for student understanding.

# Grading (Subject to Change)

The following weights are used:


Alternative weights:


Another Alternative weights:


The option that leads to a higher numerical grade for each individual student will be applied. At the end of the semester, the final letter grades are given based on an approximate curve. The weights placed on the assignments will be strictly enforced. The final letter grade will be assigned based on the percentile of the averaged points in the class:


As student performance may vary from semester to semester, the instructors reserve the right to adjust this distribution.

# Homework Policies

Homework assignments include written problems and programming in Python. Frequently-asked questions (FAQs) on homework assignments will be posted on Piazza. Unless otherwise specified, homework is always due Monday morning at 9:30 am. Late submissions will not be accepted.

TWO lowest homework scores (out of 10 homework scores) are dropped from the final homework average calculation. This drop is meant for emergency usage. Additional drops, late days, or extensions will not be provided for homework. We encourage you to use a study group for doing your homework. Students are expected to help each other out, and if desired, form ad-hoc homework groups. However, each student must produce and turn in their own, unique work.

# Exams

There will be a midterm exam and a final exam. Makeup exams will not be scheduled. Please plan for exams at these times and let us know about any exam conflicts during the first two weeks of the semester. If an emergency arises that conflicts with the exam times, email us as soon as possible. Emergency exam conflicts will be handled on a case-by-case basis.

McBurney Center students should contact the instructors to specify any special requests for the exams or homework assignments together with the supporting documentation provided by the McBurney Center. We will do our best to accommodate the requests.

Exam grading questions must be raised with the instructor within 72 hours after it is returned. If a regrade request is submitted for a part of a question on the exam, the grader reserves the right to regrade the entire exam and could potentially take points off.

Midterm : October 25 from 5:45 to 7:15
Final : December 14 from 12:25 to 2:25

# Office Hours

Instructors, TAs, peer mentors will hold office hours virtually or in-person. See the office hours page for times and locations.

# Academic Integrity

You are encouraged to discuss with your peers, the TA or the instructors ideas, approaches and techniques broadly. However, all examinations, programming assignments, and written homework must be written up individually. For example, code for programming assignments must not be developed in groups, nor should code be shared. Make sure you work through all problems yourself, and that your final write-up is your own. If you feel your peer discussions are too deep for comfort, declare it in the homework solution: “I discussed with X,Y,Z the following specific ideas: A, B, C; therefore our solutions may have similarities on D, E, F…”.

You may use books or legit online resources to help solve homework problems, but you must always credit all such sources in your writeup and you must never copy material verbatim.

We are aware that certain websites host previous years' CS540 homework assignments and solutions against the wish of instructors. Do not be tempted to use them: the solutions may contain "poisonous berries" previous instructors planted intentionally to catch cheating. If we catch you copy such solutions, you automatically fail.

Do not bother to obfuscate plagiarism (e.g. change variable names, code style, etc.) One application of AI is to develop sophisticated plagiarism detection techniques!

Cheating and plagiarism will be dealt with in accordance with University procedures (see the UW-Madison Academic Misconduct Rules and Procedures)

# Disability Information

The University of Wisconsin-Madison supports the right of all enrolled students to a full and equal educational opportunity. The Americans with Disabilities Act (ADA), Wisconsin State Statute (36.12), and UW-Madison policy (Faculty Document 1071) require that students with disabilities be reasonably accommodated in instruction and campus life. Reasonable accommodations for students with disabilities is a shared faculty and student responsibility. Students are expected to inform the instructors of their need for instructional accommodations by the end of the third week of the semester, or as soon as possible after a disability has been incurred or recognized. The instructors will work either directly with the student or in coordination with the McBurney Center to identify and provide reasonable instructional accommodations. Disability information, including instructional accommodations as part of a student’s educational record, is confidential and protected under FERPA.(See: McBurney Disability Resource Center)