EE-566: Adaptation and learningIn this course, students learn to design and master algorithms and core concepts related to inference and learning from data and the foundations of adaptation and learning theories with applications.
CS-401: Applied data analysisThis course teaches the basic techniques, methodologies, and practical skills required to draw meaningful insights from a variety of data, with the help of the most acclaimed software tools in the dat
AR-616: EDAR thesis writing workshopThe workshop will equip participants with practical skills necessary to make thesis writing smoother and better organized. Main issues
covered are: getting started, structure and argumentation, time m
DH-405: Foundations of digital humanitiesThis course gives an introduction to the fundamental concepts and methods of the Digital Humanities, both from a theoretical and applied point of view. The course introduces the Digital Humanities cir
PHYS-467: Machine learning for physicistsMachine learning and data analysis are becoming increasingly central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practi
MGT-535: Transformative projectThe Transformative Projects (TP) aim to encourage the students to develop hands-on skills in various sectors. It reinforces project management and team work skills to solve practical issues at the cro