material for week 1

Please rehearse your linear algebra by watching our video or reading section 29.1 of Barber's book. The homework must be handed in at class on Monday Oct. 22, 2012 or emailed to homeworkbrmlde. Please make sure you use the template.

We use piazza for our online discussions, announcements, etc. You can post your own questions there which can be answered by fellow students or instructors. Go to http://piazza.com/tum.de/winter2013/in2064 to sign up; the access code is divulged in class.

reading material

IN2064 will use parts of David Barber's book Bayesian Reasoning and Machine Learning, a pdf of which you can download there, as a basis for the course. We will not cover all material there, but the whole book is a recommended read.

Another recommendation is Information Theory, Inference, and Learning Algorithms by David MacKay

Lecturer	Justin Bayer Sebastian Urban Georg Groh (tutor) Christian Osendorfer Patrick van der Smagt
Module	IN2064
Type	Lecture
Language	English
Semester	WS 2012-2013
ECTS	8.0
SWS	4V / 2T
Audience	Obligatory course for students of RCI Elective course for students of Informatics (Diplom 5+, Bachelor 5+, Master 1+) Elective course for students of Business Informatics (Bachelor 5+)
Prerequisite	Analysis I/II, Linear Algebra I/II and Probability Theory
Time, Location	Monday, 18:00-20:00, MI HS 2 Tuesday, 14:00-16:00, MI HS 2 (tutorial) Tuesday, 16:00-18:00, MI 01.07.023 (tutorial) Friday, 10:00-12:00, Interims Hörsaal 2
Exam	See also our notes on the final project. Grading Schema: The course has an open book written final exam at the end of the semester (duration 180 minutes). The grade of this final exam we denote as E. Furthermore, there will be 10 homework sheets with approximately 6 problems each. For each sheet the written solutions can be handed in by each student individually after the lecture on Tuesday. For each student and sheet, the solution of each problem is either graded as “sufficient attempt” or “not a sufficient attempt”. Furthermore, there will be a midterm exam of 45 minutes duration. The mark of this midterm is denoted as M.  There will also be a final programming project with a self-designed topic which you have to hand in by March 1st, 2013. The mark of this project will be denoted as P. The grade X for the course will be determined as the best of the following possibilities: E 0.9 E + 0.1 M 0.75 E + 0.25 P 0.65 E + 0.25 P + 0.1 M If at least 66% of the homework have been graded as “sufficient attempt” the final mark will be X + 0.3. Thus, all the midterm assignments (homework, midterm exam and final project) are voluntary and can only improve the grade of the final exam.