== Integrated Lecture "Kognitive Algorithmen" ==

Computer programs can learn useful cognitive skills. This integrated lecture tries to communicate an intuitive understanding of elementary concepts in machine learning and their application on real data with a special focus on methods that are simple to implement.
We recommend the [[Main/WS14_MaschinellesLernen1 | "Machine Learning 1" ]] lecture or the [[Main/SS15_MLPraktikum|"Machine learning lab course"]] for a more advanced treatment (this course is not a prerequisite). 

We will alternated a lecture and a practice session. In the practice session students will implement and apply machine learning algorithms on real data in Python. 

=== Dates ===

||'''Date:''' || Thursday, 10:00 - 12:00, 16.04.2015 - 16.07.2015||
|| '''Room:'''|| MAR 0.013 ||
|| '''Responsible:''' || [[http://www.ml.tu-berlin.de/menue/members/klaus-robert_mueller/|Prof. Dr. Klaus-Robert Müller]] ||
|| '''Contact Person:''' ||  [[http://www.user.tu-berlin.de/irene.winkler/| Irene Winkler]]||

=== Topics ===

We will cover (among other things)

 * Supervised learning (linear regression techniques, linear classification, kernel based regression, neural networks)
 * Unsupervised Learning (Principal Component Analysis, Clustering)
 * Model Selection

More information can be found on the [[https://isis.tu-berlin.de/course/view.php?id=4772|ISIS]] Website. 

=== Language ===

All exercice sheets, the slides and recommended literature will be in English. 
However, the lecture and exercise sessions will be conducted in German. 

=== Prerequisites ===

The following are prerequisites are helpful for taking the course:

 * Basic knowledge in linear algebra and calculus
 * Basic programming knowledge, programming in Python


=== Credits ===

The integrated lecture is the compulsory part of the B.Sc. module "Kognitive Algorithmen" in Computer Science. This "Kognitive Algorihtmen" module is a 6 ECTS/SP module, and consists of 
 
 * The compulsory integrated lecture (2 SWS / 3 SP / 3 ECTS), and 
 * An elective (2 SWS / 3 SP / 3 ECTS): a Math refresher course, an [[Main/SS15_PythonKurs | introduction to python programming ]] or a [[Main/SS15_AKA|seminar ("Applications of Cognitive Algorithms")]] for a more in-depth treatment of selected applications. 

The grade will be determined in a written exam at the end of the semester. The grades of the elective will not count towards the grade of the entire module.