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Artificial Intelligence, 5.0 c
Course code:1DL340, Report code:11010, 33%, DAG, NML, week: 36 - 43 Semester: Autumn 2014
Registration for this course is done via Student Portal.
Registration is open: 2014-08-06 - 2014-09-15
Information for admitted students
All admitted students must register for their courses the Student Portal. If you are admitted with a condition, the student counsellors will check your academic background. If it's ok you will be registered, or else the counsellor will contact you. If you have neither a pin code nor a student account, please contact email@example.com. State your name, civic registration number (10 digits) and the name of the course.
Information for reservesIf you are on the waiting list, you will be contacted if there is a place available.
Contact informationIf you have any questions about registration, please contact:
Name: IT-kansliet/Student Office
Information about student accountsTo take this course you must have a student account. As an admitted you can activate your student account via www.uu.se/konto.
The course includes two lab assignments. Lab assignments should be solved in groups of four or five students.
Lab Assignment 1: Generate A* based search routines that you can use to compete on the 'Delivery Man' game. More information will be coming soon!
Lab Assignment 2: Implement a Hidden Markov Model based routine that you can use to compete on the 'Where's Croc' game.
Assignments handed in before their respective deadlines (see table below) will be marked and returned as soon as possible. All assignments must be passed in order to pass the lab component of the course.
Note that one of the requirements for a top grade in the course as a whole is that the assignments (serious attempts) have been handed in before their respective deadlines. Assignments handed in after the last scheduled day will be accepted, but may not be marked until the end of the semester. Students who fail to hand in the reports before the end of the semester, fail the course.
Presentation and Exercises
In addition to the lab assignments, the course includes a presentation assignment which should also be done in groups of two students. Groups should select one of the topics below:
The course also includes two class exercise sessions. Activities will be presented on the day to be done in groups. Completion is compulsory.
Examination in this course is a sum of three parts; The lab assignments, the presentation and a written exam, in total worth 5 credits.
The presentation and exercises are graded U (fail) or G (pass). The lab assignments are graded U, 3, 4 or 5. Together (indivisibly) the lab projects and presentation are worth 2 credits.
The written exam is graded U, 3, 4 or 5 and is worth 3 credits.
The total grade on a complete course is the average grade of the lab projects (weighted at 25% each) and the exam (weighted at 50%), rounded to the closest integer. In addition you must pass all the labs and, for grade 5 specifically, all deadlines during the course must have been met.
Lectures, Classes and Labs
NB The order may change. Check your official schedule for location and times.
It is expected that you research the topics presented in the lectures further. It is not compulsory that you use the readings specified: There are many fine sources available for free on the internet.
The numbers in the reading column refer to chapters and section in either Russell and Norvig, Artificial intelligence : A Modern Approach, 3rd Ed ('AI') or Haste et al, The Elements of Statistical Learning: Data Mining, Inference and Prediction, 2nd Edition ('SL'). Note that SL is available online as a pdf for free.
The lecture slides will be posted as pdf documents. If you cannot view these in your browser, try and download them to your local machine and use Adobe Reader.
"What is intelligence"? is a deep philosophical question. The topic of this course is more practical: how can we make computers perform tasks that - up to now - are difficult for computers? Tasks that require an "intelligent" approach, because computing power alone is not enough.
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Department of Information Technology
Fax: +46 18 511925