CSC 480 Artificial Intelligence I
Summary
An in-depth survey of important concepts, problems, and techniques in artificial intelligence, including search, knowledge representation, logical reasoning, reasoning with uncertainty, and machine learning. A particular focus and a unifying theme of the course will be the concept of intelligent agents. No prior knowledge of AI is required. The course is particularly suitable for graduate and advanced undergraduate students who want to gain the technical background necessary to build intelligent systems, or who want to prepare for more advanced work in AI. The concepts and techniques learned in this course will be directly applicable to many other areas of computer science including software design, distributed systems, databases, and information management and retrieval.
Many (though not all) of the assignments will be technical in nature, and some will involve programming. While the choice of programming language is up yo you, I will sometimes provide helper code in java for some assignments.
Texts
Artificial Intelligence: A Modern Approach, Third edition, by Stuart Russell and Peter Norvig. Prentice-Hall, 2003. ISBN 10-digit: 0-13-604259-7, 13-digit: 978-0-13-604259-4.
Grading
The grade breakdown will be as follows:
| 5 Assignments |
50% |
| Midterm |
20% |
| Final Exam |
30% (comprehensive) |
The grading scale will be determined by a curve. The cutoffs will be no higher than the following: 90-100, A; 80-89.99, B; 70-79.99, C; 60-69.99, D; 0-59.99, F. Plusses and minuses will be given at the high/low ends of each grade range (no A+'s or D-'s).
There will be some degree of difficulty between the assignments given to the graduate students and the undergrads. The curves
may also differ between undergraduates and graduates.
Prerequisites
CSC 301, 383, 393, or 402 (or equivalent knowledge in data structures and algorithms)
Policy on Working Together
You may feel free to discuss assignments with other students or with a tutor at a general level. This may include discussion of issues such as the types of data structures and control flow needed for the assignment. However, unless otherwise specified, you must write all of your own answers and code yourself, and you may not work with others when writing answers or code, with the exception of asking the tutors (or me) for debugging help. It has been my experience that if you write code together, or copy from a friend's old assignment, or if a tutor writes your program for you, you will be caught. Any violations of this policy will be dealt with very seriously.
Late Policy
To be considered on time, an assignment must be submitted to the appropriate dropbox folder by the time and date as specified on the dropbox. Late submissions will only be allowed on documentatation of the Dean of Students. Note that I will have to write a new version of any late assignment,since the solution will already have been released.
This syllabus is subject to change as necessary during the quarter. If a change occurs, it will be thoroughly addressed during class, posted under Announcements in D2L and sent via email.
Evaluations are a way for students to provide valuable feedback regarding their instructor and the course. Detailed feedback will enable the instructor to continuously tailor teaching methods and course
content to meet the learning goals of the course and the academic needs of the students. They are a requirement of the course and are key to continue to provide you with the highest quality of teaching. The
evaluations are anonymous; the instructor and administration do not track who entered what responses. A program is used to check if the student completed the evaluations, but the evaluation is completely
separate from the student’s identity. Since 100% participation is our goal, students are sent periodic reminders over three weeks. Students do not receive reminders once they complete the evaluation.
Students complete the evaluation online in CampusConnect.
This course will be subject to the university's academic integrity policy. More information can be found at http://academicintegrity.depaul.edu/ If you
have any questions be sure to consult with your professor.
All students are expected to abide by the University's Academic Integrity Policy which prohibits cheating and other misconduct in student coursework. Publicly sharing or posting online any prior or current materials from this course (including exam questions or answers), is considered to be providing unauthorized assistance prohibited by the policy. Both students who share/post and students who access or use such materials are considered to be cheating under the Policy and will be subject to sanctions for violations of Academic Integrity.
All students are required to manage their class schedules each term in accordance with the deadlines for enrolling and withdrawing as indicated in the University Academic Calendar. Information on enrollment, withdrawal, grading and incompletes can be found at http://www.cdm.depaul.edu/Current%20Students/Pages/PoliciesandProcedures.aspx.
Students who feel they may need an accommodation based on the impact of a disability should contact the instructor privately to discuss their specific needs. All discussions will remain confidential.
To ensure that you receive the most appropriate accommodation based on your needs, contact the instructor as early as possible in the quarter (preferably within the first week of class), and make sure that
you have contacted the Center for Students with Disabilities (CSD) at:
Lewis Center 1420, 25 East Jackson Blvd.
Phone number: (312)362-8002
Fax: (312)362-6544
TTY: (773)325.7296