Introduction to Artificial Intelligence

CS47100 • Spring 2022 • Time: Tues/Thurs 3:00 -- 4:15 pm • Location: WTHR 172

Tentative ScheduleCampusWireBrightspaceGradescopeHotSeat

Instructor

Professor Yexiang Xue
Lawson 2142L • yexiang [at] purdue DOT edu •
Office hours: Thursday before the class: 2:00 -- 3:00 pm (last 15 minutes will be on my way to WTHR). Office hours will only be held if appointments are made via emails at least 24 hours in prior.

Teaching assistants

Jinzhao Li • li4255 [at] purdue DOT edu • Office hours: 10:30 am -- 11:30 am on Wednesdays.

Zhuoyan Li • li4178 [at] purdue DOT edu • Office hours: 4:00 pm -- 5:00 pm on Wednesdays.

Zachery Berg • bergz [at] purdue DOT edu • Office hours: 10:00 am -- 11:00 am on Thursdays.

Mehmet Oguz Sakagolu • msakaogl [at] purdue DOT edu • Office hours: 10:30 am -- 11:30 am on Mondays.

Jiaxin Du • du286 [at] purdue DOT edu •


Questions: We will use CampusWire for class questions/discussion. The link to join our class on CampusWire is in Brightspace. Instead of sending email to the TA list, please post your questions on CampusWire.

Description

This course provides an introduction to foundational areas of artificial intelligence and current techniques for building intelligent systems. Topics will include: problem solving, state-space representation, heuristic search techniques, game playing, knowledge representation, logical reasoning, reasoning under uncertainty, decision making, machine learning, and planning.

Prerequisites

Prerequisites: CS25100 Data Structures (grade of C or better)

Text

S. Russell and P. Norvig (2010). Artificial Intelligence: A Modern Approach. Prentice Hall, 3rd Edition.

Assignments and exams

There will be four homework/programming assignments that will be posted on the schedule. Assignments should be submitted online in gradescope or via turnin on data.cs.purdue.edu. Details will be provided in the assignments. Programming projects should be written in Python, unless otherwise noted. In general, questions about the details of homeworks/projects should be directed to the TA on CampusWire.

There will be one essay on the opportunities and challenges that Artificial Intelligence will bring to our society. Details will be discussed in the class. The essay should be submitted via gradescope in PDF format.

There will be several quizzes in class, as well as an evening midterm and a comprehensive final exam. Exams will be closed book and closed notes. We will use HotSeat for the quizzes. Each quizz will be made available on HotSeat for 24 hours to accomondate excusable reasons not to show up in classes.

Exam Date and Homework Due Dates

Grading

Grades will be posted on Brightspace.

Late Policy

Assignments are to be submitted by the due date listed. Each person will be allowed three days of extensions which can be applied to any combination of assignments (homework/projects/essays only) during the semester without penalty. After that a late penalty of 15% per day will be assigned. Use of a partial day will be counted as a full day. Use of extension days must be stated explicitly at the time of the late submission (by accompanying email to the TA), otherwise late penalties will apply. Extensions cannot be used after the final day of classes (ie., April 30). Extension days cannot be rearranged after they are applied to a submission. Use them wisely!

Assignments will NOT BE accepted if they are more than five days late. Additional extensions will be granted only due to serious and documented medical or family emergencies.

Academic Honesty

Please read the departmental academic integrity policy. This will be followed unless we provide written documentation of exceptions. We encourage you to interact amongst yourselves: you may discuss and obtain help with basic concepts covered in lectures or the textbook, homework specification (but not solution), and program implementation (but not design). However, unless otherwise noted, work turned in should reflect your own efforts and knowledge. Sharing or copying solutions is unacceptable and could result in failure. We use copy detection software, so do not copy code and make changes (either from the Web or from other students). You are expected to take reasonable precautions to prevent others from using your work.

Attendance Policy during COVID-19

Students are expected to attend all classes unless they are ill or otherwise unable to attend class. We provide both in-class and online ways to attend the class. The Zoom information to attend the class online are listed in Brightspace. Either way students are expected to complete in-class quizzes in a timely manner via HotSeat. If students feel ill, have any symptoms associated with COVID-19, or suspect they have been exposed to the virus, students should stay home and contact the Protect Purdue Health Center (496-INFO).

Students need to inform the instructor of any conflict that can be anticipated and will affect the timely submission of an assignment or the ability to take an exam due to COVID.

Classroom engagement is extremely important and associated with your overall success in the course. The importance and value of course engagement and ways in which you can engage with the course content even if you are in quarantine or isolation, will be discussed at the beginning of the semester. Student survey data from Fall 2020 emphasized students’ views of in-person course opportunities as critical to their learning, engagement with faculty/TAs, and ability to interact with peers.

Only the instructor can excuse a student from a course requirement or responsibility. When conflicts can be anticipated, such as for many University-sponsored activities and religious observations, the student should inform the instructor of the situation as far in advance as possible. For unanticipated or emergency conflicts, when advance notification to an instructor is not possible, the student should contact the instructor/instructional team as soon as possible by email, through Brightspace, or by phone. In cases of bereavement, quarantine, or isolation, the student or the student’s representative should contact the Office of the Dean of Students via email or phone at 765-494-1747. Our course Brightspace includes a link to the Dean of Students under ‘Campus Resources.’

Academic Guidance in the Event a Student is Quarantined/Isolated

If you must quarantine or isolate at any point in time during the semester, please reach out to all TAs and me via email so that we can communicate about how you can continue to learn remotely. Work with the Protect Purdue Health Center (PPHC) to get documentation and support, including access to an Academic Case Manager who can provide you with general guidelines/resources around communicating with your instructors, be available for academic support, and offer suggestions for how to be successful when learning remotely. Your Academic Case Manager can be reached at acmg@purdue.edu. Importantly, if you find yourself too sick to progress in the course, notify your academic case manager and notify me via email or Brightspace. We will make arrangements based on your particular situation.

We provide a Zoom link to attend the class remotely in case of quarantine/isolation. The link can be accessed via Brightspace. The attendance is usually taken via Hotseat, which can be accessed remotely as well.

Classroom Guidance Regarding Protect Purdue

The Protect Purdue Plan, which includes the Protect Purdue Pledge, is campus policy and as such all members of the Purdue community must comply with the required health and safety guidelines. Required behaviors in this class include: staying home and contacting the Protect Purdue Health Center (496-INFO) if you feel ill or know you have been exposed to the virus, properly wearing a mask in classrooms and campus building, at all times (e.g., mask covers nose and mouth, no eating/drinking in the classroom), disinfecting desk/workspace before and after use, maintaining appropriate social distancing with peers and instructors (including when entering/exiting classrooms), refraining from moving furniture, avoiding shared use of personal items, maintaining robust hygiene (e.g., handwashing, disposal of tissues) prior to, during and after class, and following all safety directions from the instructor.

Students who are not engaging in these behaviors (e.g., wearing a mask) will be offered the opportunity to comply. If non-compliance continues, possible results include instructors asking the student to leave class and instructors dismissing the whole class. Students who do not comply with the required health behaviors are violating the University Code of Conduct and will be reported to the Dean of Students Office with sanctions ranging from educational requirements to dismissal from the university.

Any student who has substantial reason to believe that another person in a campus room (e.g., classroom) is threatening the safety of others by not complying (e.g., not properly wearing a mask) may leave the room without consequence. The student is encouraged to report the behavior to and discuss the next steps with their instructor. Students also have the option of reporting the behavior to the Office of the Student Rights and Responsibilities. See also Purdue University Bill of Student Rights.

Nondiscrimination Statement

Purdue University is committed to maintaining a community which recognizes and values the inherent worth and dignity of every person; fosters tolerance, sensitivity, understanding, and mutual respect among its members; and encourages each individual to strive to reach his or her potential. In pursuit of its goal of academic excellence, the University seeks to develop and nurture diversity. The University believes that diversity among its many members strengthens the institution, stimulates creativity, promotes the exchange of ideas, and enriches campus life. A hyperlink to Purdue’s full Nondiscrimination Policy Statement is included here.

Accessbility

Purdue University strives to make learning experiences as accessible as possible. If you anticipate or experience physical or academic barriers based on disability, you are welcome to let me know so that we can discuss options. You are also encouraged to contact the Disability Resource Center at: drc@purdue.edu or by phone: 765-494-1247.

Mental Health/Wellness Statement

If you find yourself beginning to feel some stress, anxiety and/or feeling slightly overwhelmed, try WellTrack. Sign in and find information and tools at your fingertips, available to you at any time.

If you need support and information about options and resources, please contact or see the Office of the Dean of Students. Call 765-494-1747. Hours of operation are M-F, 8 am- 5 pm.

If you find yourself struggling to find a healthy balance between academics, social life, stress, etc. sign up for free one-on-one virtual or in-person sessions with a Purdue Wellness Coach at RecWell. Student coaches can help you navigate through barriers and challenges toward your goals throughout the semester. Sign up is completely free and can be done on BoilerConnect. If you have any questions, please contact Purdue Wellness at evans240@purdue.edu.

If you’re struggling and need mental health services: Purdue University is committed to advancing the mental health and well-being of its students. If you or someone you know is feeling overwhelmed, depressed, and/or in need of mental health support, services are available. For help, such individuals should contact Counseling and Psychological Services (CAPS) at 765-494-6995 during and after hours, on weekends and holidays, or by going to the CAPS office on the second floor of the Purdue University Student Health Center (PUSH) during business hours.

Emergency Preparation

In the event of a major campus emergency, course requirements, deadlines and grading percentages are subject to changes that may be necessitated by a revised semester calendar or other circumstances beyond the instructor’s control. Relevant changes to this course will be posted onto the course website or can be obtained by contacting the instructors or TAs via email or phone. You are expected to read your @purdue.edu email on a frequent basis.

Additional course policies

Please read the general course policies here.


Course outline

Introduction (1 week)
What is artificial intelligence? Overview of AI history and associated application areas.

Search (3 weeks) Problem solving as search, heuristic search, constraint satisfaction, adversarial search.

Reasoning with logic (2 weeks)
Propositional logic and first-order logic, logical reasoning and inference.

Reasoning with uncertain knowledge (3 weeks)
Basic probability and statistical reasoning, Bayesian and Markov networks, exact and approximate inference methods.

Planning and decision making (2 weeks)
Classical planning, decision making under uncertainty, sequential decision making and Markov decision processes.

Learning (2 weeks)
Learning as search, logical formulation of learning, reinforcement learning.

Additional topics (1 week)
Relational learning, multi-agent systems, causality, fairness/bias/ethics.