== 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/WS22_ML1 | "Machine Learning 1" ]] lecture or the [[Main/WS22_ProjectML | "Project Machine Learning" ]] for a more advanced treatment (this course is not a prerequisite). === Dates === ||'''Lecture:''' || MA 0.004 Biweekly Starting 19.04 at 16:15 || ||'''Tutorials:''' || offline/online mixed || || '''ISIS '''|| [[https://isis.tu-berlin.de/course/view.php?id=33557|ID 33557]] || || '''Responsible:''' || [[http://www.ml.tu-berlin.de/menue/members/klaus-robert_mueller/|Prof. Dr. Klaus-Robert Müller]] || || '''Lecturer''' || Lorenz Vaitl / Dr. Ali Hashemi || || '''Contact''' || cognitivealgorithms@ml.tu-berlin.de || === Lectures/Tutorials === Lectures and tutorials take place every other week respectively. Lectures and tutorials will be held in person. Tutorials will also be offered via Zoom. === 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): [[Main/WS22_PyML| "Python for ML" ]] or a seminar: Seminar [[Main/WS22_KA_SE| "CA Seminar" ]]/ [[Main/WS22_MLDMS |MLDMS]]/ [[Main/WS22_QC |Quantum Chemistry]] for Machine Learning ]] 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.