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HUM-122(b): Global issues: communication B

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BIOENG-320: Synthetic biology

This advanced Bachelor/Master level course will cover fundamentals and approaches at the interface of biology, chemistry, engineering and computer science for diverse fields of synthetic biology. This

PHYS-101(en): General physics : mechanics (English)

Students will learn the principles of mechanics to enable a better understanding of physical phenomena, such as the kinematics and dyamics of point masses and solid bodies. Students will acquire the c

MGT-502: Data science and machine learning

Hands-on introduction to data science and machine learning. We explore recommender systems, generative AI, chatbots, graphs, as well as regression, classification, clustering, dimensionality reduction

MATH-232: Probability and statistics (for IC)

A basic course in probability and statistics

FIN-622: Big Data and Machine Learning for Financial Economics

This class is an introduction to Machine Learning and High Dimensional Statistics in Finance. We start with purely empirical approach, focusing first on high dimensional regressions then moving to ker

MATH-663: Statistical consulting and collaborations

Analyzing data for a collaborator or client is very different from working on your own research project ; not only do you need competences in statistics, you must also ensure good communication (both

MGT-424: Advanced data driven business analytics

This course aims to provide graduate students a grounding in the methods, theory, mathematics and algorithms needed to apply machine learning techniques to in business analytics domain. The course cov

MGT-401: Strategic marketing & technology commercialization

This course teaches students the power of building and implementing marketing strategies in order to help businesses to commercialize successfully their technological innovations.
It offers a large

CS-526: Learning theory

Machine learning and data analysis are becoming increasingly central in many sciences and applications. This course concentrates on the theoretical underpinnings of machine learning.

MSE-424: Fracture of materials

This course covers elementary fracture mechanics and its application to the fracture of engineering materials.