MATH-261: Discrete optimizationThis course is an introduction to linear and discrete optimization.
Warning: This is a mathematics course! While much of the course will be algorithmic in nature, you will still need to be able to p
MATH-432: Probability theoryThe course is based on Durrett's text book
Probability: Theory and Examples.
It takes the measure theory approach to probability theory, wherein expectations are simply abstract integrals.
CS-457: Geometric computingThis course will cover mathematical concepts and efficient numerical methods for geometric computing. We will explore the beauty of geometry and develop algorithms to simulate and optimize 2D and 3D g
MATH-502: Distribution and interpolation spacesThe goal of this course is to give an introduction to the theory of distributions and cover the fundamental results of Sobolev spaces including fractional spaces that appear in the interpolation theor
MATH-329: Continuous optimizationThis course introduces students to continuous, nonlinear optimization. We study the theory of optimization with continuous variables (with full proofs), and we analyze and implement important algorith
AR-301(ac): Studio BA5 (Bosshard et Vaquer)The term sauvegarde is approached holistically from the side of care with the will to assist, protect, and therefore save. Design proposals grow out of the will to understand, looking for an overall c
AR-301(d): Studio BA5 (Fröhlich M. & A.)"Tackle the type" deals with processes of development and redesign of architectural typologies, and addresses the theme critically under todayâs contemporary condition. Based on the analysis of a sp