CS-439: Optimization for machine learningThis course teaches an overview of modern optimization methods, for applications in machine learning and data science. In particular, scalability of algorithms to large datasets will be discussed in t
PHYS-314: Quantum physics IIThe aim of this course is to familiarize the student with the concepts, methods and consequences of quantum physics.
MGT-400: Corporate strategyWhy are some firms more successful than others? This is the fundamental question of strategy. The course aims to familiarize the student with the most important themes relevant for corporate strategy.
HUM-396: Building Blocks of Creativity IIStudents will engage in a group-project with the aim to translate psychological theories of creativity to practice. The purpose of the project is to create an original and a functionally useful produc
MICRO-723: Deep Learning for Optical ImagingThis course will focus on the practical implementation of artificial neural networks (ANN) using the open-source TensorFlow machine learning library developed by Google for Python.