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Related courses (23)

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HUM-455: Scientific research in all it forms II

Au cours d'un travail pratique, l'étudiant aura l'occasion de s'initier à une méthode ou technique de recherche qui lui est peu familière (ex: entretien semi-directif, questionnaire, enquête de terrai

DH-603: Methodological Advances in Digital Humanities

Through a combination of lectures, seminar, and practical workshops, this course serves as an introduction to critical digital humanities and algorithmic critique, and is specifically tailored for res

PHYS-754: Lecture series on scientific machine learning

This lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way.

BIO-244: Physics of the cell

Living organisms evolve in a physical world: their cells respond to mechanics, electricity and light. In this course, we will describe the behavior and function of cells using physical principles.

HUM-373: Sport, doping and sciences

Le cours propose d'aborder le dopage dans le sport comme question sociale. Le cours permet de découvrir les singularités des différentes sciences sociales par le croisement et l'articulation de de l'h

BIO-105: Cellular biology and biochemistry for engineers

Basic course in biochemistry as well as cellular and molecular biology for non-life science students enrolling at the Master or PhD thesis level from various engineering disciplines. It reviews essent

PHYS-466: Topics in biophysics and physical biology

This course provides exposure to research in biophysics and physical biology, with emphasis on the nature of scientific breakthroughs, and using critical reading of scientific literature. Each week, w

ChE-605: AI in chemistry and beyond:Highlights in the field

Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based algorithms is required to fully understand the technical details, a basic knowledg

BIO-684: Hot Topics in Cancer Research

(1) To expose PhD students to cutting-edge research in the field of Cancer Research through attendance of lectures given by world-leading distinguished scientists in the field.

MATH-655: Advanced methods for causal inference

This course covers recent methodology for causal inference in settings with time-varying exposures (longitudinal data) and causally connected units (interference). We will consider theory for identifi