CSci 4511 section 02, Fall 2021: Syllabus
||Monday and Wednesday, 1:00-2:15|
|| Dr. Maria Gini
office hours: TBA
and by appointment
|| Charles Broadbent |
lectures will be delivered online at the class time. The lectures will be recorded and later posted on canvas. Every Wednesday we will do an in class exercise that will give one participation point. It has to be done during the class. The zoom link for the class is listed under Zoom in the left menu in canvas. Zoom links for office hours will be posted as soon as the office hours are finalized.
Stuart Russell and Peter Norvig, "Artificial Intelligence. A modern approach. 4th Edition" Pearson, 2020. (Chapters 1-12).
You are expected to have knowledge of basic computer science principles and programming; data structures (graphs and trees); and formal logic (propositional and predicate logic).
Course Description: The course provides a technical introduction to artificial intelligence (AI). Topics include: agents, search (search spaces and algorithms, game playing, constraint satisfaction), planning, knowledge representation, and an introduction to neural networks.
The course is suitable to gain a solid technical background and as a preparation for more advanced work in AI.
Work Load and Grading Policy
Readings: About 30 pages of reading/week from the textbook and occasionally other papers.
Exams: two exams during the semester (30% total).
- 4 written homeworks (each 6% of the grade -- total 24%). Homeworks will include problem solving and some programming problems. Homeworks are due on Friday at 6:00pm. Late homeworks will lose 10% of the maximum total points for each day they are late. Weekends do not count, so if you submit by 6:00pm on Monday you lose only 10%.
- one optional homework that will give extra credit (3% of the grade).
- 4 writing assignments (each 4% of the grade -- total 16%). The late homeworks rule applies also to writing assignments. You will be allowed to resubmit writing assignments to get a higher score. Points lost for being late will not be given back.
- an in-class exercise every week. Participation will count for 15% of the grade, 1% for each exercise. Done in class each Wednesday in small groups. Need to be submitted to canvas by the evening of Wednesday.
- one project (15% of the grade) on a topic of your choice. It can be done in groups of two or three.
Look at the class schedule in canvas to see due dates for assignments and exam dates.
Grades will be assigned on the following scale:
93% or above yields an A, 90% to 92.99% an A-, 87% to 89.99% a B+, 83% to 86.99% a B, 80% to 82.99% a B-, 75% to 79.99% a C+, 65% to 74.99% a C, 60% to 64.99 a C-, 55% to 59.99% D+, 50% to 54.99% a D, below 50% an F.
All work submitted for this class must represent your own
individual effort unless group work is explicitly allowed.
Academic integrity and professional behaviors are expected from
everyone in the class. You are free to discuss course material with
classmates, TAs, and professor, but you should never misrepresent
someone else's work as your own. It is your duty to protect your
work from unauthorized access. Discussing answers and copying
solutions from others in homeworks or exams is cheating and
grounds for failing the course. Any student caught cheating will
receive an F for the class and the University policies will be followed
It is University policy to provide, on a flexible and individualized basis,
reasonable accommodations to students who have documented disability
conditions (e.g., physical, learning, psychiatric, vision, hearing, or
systemic) that may affect their ability to participate in course activities or
to meet course requirements. Students with disabilities are encouraged to
contact Disability Services for a confidential
discussion of their individual need for academic accommodations. Disability
Services is located in Suite 180 McNamara Alumni Center, 200 Oak Street. Staff
can be reached by calling 612-626-1333 voice or TTY, or on the web at
Copyright: © 2021 by the Regents of the University
Department of Computer Science and
Engineering. All rights reserved.
Comments to: Maria Gini
Changes and corrections are in red.