CS-335-1: Artificial Intelligence
College of Arts & Sciences Syllabus
This course covers strong artificial intelligence methods, which have resulted
in the development of systems that solve open problems in specialized domains. Such methods include
1) AI models based on logical reasoning, in particular decision trees and learning decision
trees, rule-based expert systems, semantics nets, and frames; 2) AI models based on probabilistic
reasoning, in particular Bayesian networks and learning Bayesian networks, influence diagrams,
and class probability trees; and 3) AI models based on emergent intelligence, in particular evolutionary
computation and swarm intelligence. Lastly, the course discusses an important endeavor in
AI, namely language processing.
Undergraduate level CS 304 Minimum Grade of C or Graduate level CS 407 Minimum
Grade of C or (Graduate level CS 400 Minimum Grade of C and Graduate level CS 404
Minimum Grade of C)
Monday/Wednesday 5:40 p.m. - 6:55 p.m.
Note: This is a hybrid course
Lech Walesa Hall 2108
Lech Walesa Hall 3036
Mondays/Wednesdays: 4:00 p.m. - 5:00 p.m.
Thursdays: 1:00 p.m. - 3:00 p.m.
Per university policy, grades may not be discussed via email.
All course-related questions should be posted on the D2L Discussion Forum.
Artificial Intelligence. A modern approach. By Russel and Norvig. 3rd edition
COURSE OBJECTIVES / STUDENT LEARNING OUTCOMES
Upon completing CS-335: Artificial Intelligence, students will be able to do the following:
- Think critically about Artificial Intelligence.
- Have an understanding of a few seminal algorithms in AI.
- Be able to apply an AI solution to a problem.
- Introduction to AI (AI History, Intelligent Agents)
- Constraint Satisfaction Problems
- Knowledge Based Agents
- First Order Logic and Inference in FOL
- Knowledge Representation
- Quantifying Uncertainty
- Probabilistic Reasoning
- Making Simple Decisions
- Probabilistic Reasoning over Time
- Making Complex Decision
- Learning From Examples
STUDENT TASKS / ASSIGNMENTS / REQUIREMENTS
As this is an upper-level course, students are expected to exhibit an independent
work ethic and conduct themselves in accordance with NEIU student academic conduct policies.
This includes completing assigned readings/homework/quizzes on a timely basis, allocating an
appropriate amount of time for homework and studying, maintaining an awareness of of course
meeting times and deadlines, taking the initiative to ask questions to promote an in-depth understanding
of course concepts, and taking primary responsibility for their individual course progress.
Attendance is mandatory. More than six (6) absences will result in an automatic F in the course.
Homework will be assigned weekly, posted online. While working on homework
assignments with other students is encouraged, plagiarism is NOT tolerated. All work should
be unique. Students that submit duplicate/identical work will receive an F for that homework
assignment. All assignments must be submitted to D2L by the specified due date and time. There
are NO exceptions.
There will be several online (D2L) quizzes throughout the semester, designed to reinforce
core concepts in Programming II. These quizzes must be completed by the specified due date and
time (no extensions will be given).
Grading Policies and Formulae:
|90 - 100 %
|80 - 89.99999999 %
|70 - 79.99999999 %
|50 - 69.99999999 %
|0 - 49.99999999 %
There will be two in-class exams, worth a total of 50% of the final grade. There are
NO make-up exams. If you are unable to attend an exam due to a religious observance, you must
notify your professor at least 3 three weeks in advance of the exam in order to schedule a make-up
exam. Failure to do so will result in an F for that exam. The material in this course builds on
itself and therefore the material for the exams is implicitly cumulative. Exams are closed-book and
closed-notes. Access to any digital devices is prohibited.
A final project will be assigned and is worth 25% of the final grade. This final
project will incorporate the topics presented in class. Students can work in pairs (i.e. groups of 2)
on this project. Groups larger than 2 are not permitted.
UNIVERSITY POLICIES AND STATEMENTS
Academic Integrity Policy:
By enrolling in this course, you are bound by the
NEIU Student Code of Conduct
You will be informed by your instructor of any additional policy specific to your course regarding
plagiarism, class disruptions, etc.
Northeastern Illinois University (NEIU) complies with the Americans with Disabilities Act (ADA)
in making reasonable accommodations for qualified students with disabilities. To request accommodations,
students with special needs should make arrangements with the Student Disability Services
(SDS) office, located on the main campus in room D104. Contact SDS via (773) 442-4595
. It is your responsibility
to have the Accessibility Center send me this information by the 3rd week of the
COURSE POLICIES AND STATEMENTS
Attendance is mandatory. Six (6) or more absences will result in an automatic F in the course.
This includes workshop sessions.
Submitting Assignments to D2L:
- Create a folder with your name and in that folder include all of your homework files (program
code, input and output files, but NO .class files).
- Compress the folder. For Windows: Right-click and choose “Send to” and then choose
"Compressed (zipped) Folder".
- Submit the zipped folder (.zip file) to D2L Dropbox.
- No grade of "I" will be given.
- No makeup exams or quizzes will be given. If you miss an exam or quiz, you will receive an
F for that exam/quiz.
- You must bring your NEIU ID to each exam, including the final exam. I reserve the right to
check your ID at each exam, including the final exam.
- The use of cell phones, iPads or computers during class time for non-class or non-emergency
purposes is not allowed. Phones are to be muted and laptops/iPads are to remain closed.
- There will be NO extra credit projects given to improve grades.
- Cheating and/or plagiarism will not be tolerated. Students that violate the NEIU academic
conduct policy may be subject to an F for that assignment, quiz, exam, project or any portion
(or all) of the final course grade
- Policies may be modified or added as I deem appropriate/necessary.
Monday, September 2, 2019: Labor Day
Friday, October 11 - Saturday, October 12, 2019: Fall Break
Thursday, November 28 - Sunday, December 1, 2019: Thanksgiving Holiday
Friday, November 1, 2019: Last day to drop with a W