== Integrated Lecture "Cognitive Algorithms" ==

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/WS20_MaschinellesLernen1 | "Machine Learning 1" ]] lecture or the [[Main/WS20_LabCourse| "Machine learning lab course" ]] for a more advanced treatment (this course is not a prerequisite). 




=== Dates ===

||'''Lecture:''' || online ||
||'''Tutorials:''' || online ||
|| '''ISIS '''|| [[https://isis.tu-berlin.de/course/view.php?id=24382|ID 24382]] ||
|| '''Responsible:''' || [[http://www.ml.tu-berlin.de/menue/members/klaus-robert_mueller/|Prof. Dr. Klaus-Robert Müller]] ||
|| '''Lecturer''' || Lorenz Vaitl ||
|| '''Contact''' || cognitivealgorithms@ml.tu-berlin.de ||

=== Lectures/Tutorials ===

Lectures and tutorials take place every other week respectively. Lectures and tutorials will be held online.

=== Prerequisites ===

The following prerequisites are helpful for taking the course:

 * Basic knowledge in linear algebra and calculus
 * Basic programming knowledge, programming in Python
 * To participate in the exam you '''first need to pass the elective course'''

=== 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): an [[Main/SS21_PyML| "Python for ML" ]] or a seminar: Seminar [[Main/SS21_HTML| "Hot Topics in ML" ]]/ [[Main/SS21_MLDMS |MLDMS]]/ [[Main/SS21_QC |Quantum Chemistry]] 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.