CIS8603 Artificial Intelligence  Fall 2012

Schedule

Instructor

• Longin Jan Latecki, Professor, email: latecki@temple.edu
• Office: 306 Wachman Hall, phone: 215-204-5781
• Office Hours: Monday 3:15 - 5:15 PM or by appointment

Class

• Meets: Monday 5:30 - 8:00 PM  in TL 305A

Prerequisites: Minimum Grade C in the following courses:

• CIS2166 or Math3098 or equivalent, and
• CIS2168 or equivalent, and
• CIS3033 or equivalent
• A solid understanding of probability and linear algebra, you should be familiar with most of the material in the two links: probability and linear algebra

Textbooks:

Simon Rogers and Mark Girolami, A First Course in Machine Learning  CRC 2012. http://bit.ly/firstcourseml
To get an e-Book go to http://store.vitalsource.com/show/9781439892336

David Poole and Alan Mackworth, Artificial Intelligence. Foundations of Computational Agents. Cambridge University Press 2010 website

Topics

Since today's AI is mostly learning and inference, we will focus on both subjects.
This course is designed as an introductory graduate course in learning and inference for intelligent agents,
both robots and software agents.
It introduces the basic concepts by focusing on their intuitive understanding and algorithmic perspective.
It is intended to prepare beginning graduate students for further graduate courses in machine learning, data mining, robotics, and computer vision.
 

Exams, Project and Grading

• Class participation: 10%
• Quizzes: 20%
• Midterm / Final Exam: 30%
• Class projects and their presentation: 40%

  Homework:  Late homework will result in a penalty.

  Class attendance: Class attendance is expected, and may be recorded from time to time. Absences for legitimate professional activities and illnesses are acceptable only if prior notice is given to the instructor by e-mail or phone. Scheduling conflicts with your work, extra-curricular activities, or any other such activities is not a valid excuse. Although attendance is not a specific part of the course evaluation it has a direct effect on class participation. If you are not in class you cannot participate. Class participation means that you attend class regularly and have completed your assigned readings, homework, and projects. It means that you ask relevant questions and make informed comments in class. Class participation will contribute to the final grade.

  Quizzes: There will be no make up quizzes; however, you will be allowed to drop your lowest three quiz grades. Each quiz will be worth 20pts. You may bring one letter size page filled with your own notes to each quiz.

  Class projects: Late projects will not be graded. There will be 4 projects, each worth 10% of the course grade. Projects can be done by teams composed of up to 3 students. For each project there will be an evaluation team to select the best performing project. The members of the best performing team get additional 10% towards the course grade. The members of the evaluation team get additional 5% towards the course grade.

  Exams: If you miss a midterm for an emergency [as agreed ahead of time with the instructor], there will be no makeup exam: the other exams will become proportionally more important. If you miss any exam without prior agreement, and without definitive proof as to the reasons, you will get a zero.

Honor Code

• All work submitted for credit must be your own.
• You may discuss the homework problems with your classmates, the teaching assistant, and the instructor. You must acknowledge the people with whom you discussed your work, and you must write up your own solutions and code. Any written sources (apart from the text) used must also be acknowledged; however, you may not consult any solutions from previous years' assignments whether they are student or faculty generated.
• Plagiarism will be handled with severe measures.
• Please ask if you have any questions about the Honor Code. Violations of the honor code will be treated seriously. Please check the Temple University policy on Plagiarism and Academic Cheating.

Disabilities

I encourage students with disabilities, including "invisible" disabilities such as chronic diseases and learning disabilities, to discuss with us any appropriate accommodations that we might make on their behalf. Student must provide me with a note from the office of Disability Resources and Services at in 100 Ritter Annex, 215-204-1280, regarding their disability.