== 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/WS16_MaschinellesLernen1 | "Machine Learning 1" ]] lecture or the [[Main/WS16_ProjectML|"Machine learning project"]] for a more advanced treatment (this course is not a prerequisite). 

We will alternate 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||
|| '''Room:'''|| MAR 0.002 ||
|| '''Responsible:''' || [[http://www.ml.tu-berlin.de/menue/members/klaus-robert_mueller/|Prof. Dr. Klaus-Robert Müller]] ||
|| '''Lecturer''' || Dr. Wojciech Samek (wojciech.samek@hhi.fraunhofer.de) ||
|| '''Contact Person:''' ||   [[mailto:stephanie.brandl@tu-berlin.de | Stephanie Brandl]]||

=== 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=7959|ISIS]] Website. 

=== Language ===

TBA

=== Prerequisites ===

The following 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 Algorithmen" 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 [[Main/WS16_MatheKurs | math refresher course]], an [[Main/WS16_PythonKurs | introduction to python programming ]] or a [[Main/WS16_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.