BIO-679: Practical - Suter LabBioluminescence imaging and data analysis Splinkerette PCR (to analyze genomic insertion site of a transgene).
The students will obtain theoretical and practical insight into embryonic stem cell biology and the study of gene expression fluctuations in sin ...
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 practised. ...
ME-390: Foundations of artificial intelligenceThis course provides the students with 1) a set of theoretical concepts to understand the machine learning approach; and 2) a subset of the tools to use this approach for problems arising in mechanical engineering applications. ...
CIVIL-307: Numerical representation / BIMLe cours traite la modélisation des ouvrages en utilisant la méthode du Building Information Modeling (BIM), adaptée aux besoins de l'ingénieur civil.
Il intègre les notions d'échange de modèles numériques entre logiciels et les parties prenantes d'un proj ...
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 management and self-motivation, getting and handling feed ...
BIO-369: Randomness and information in biological dataBiology is becoming more and more a data science, as illustrated by the explosion of available genome sequences. This course aims to show how we can make sense of such data and harness it in order to understand biological processes in a quantitative way. ...
ME-419: Production managementProduction management deals with producing goods sustainably at the right time, quantity, and quality with the minimum cost. This course equips students with practical skills and tools for effectively managing demand, supply, and implementing advanced anal ...
MATH-131: Probability and statisticsLe cours présente les notions de base de la théorie des probabilités et de l'inférence statistique. L'accent est mis sur les concepts principaux ainsi que les méthodes les plus utilisées. ...
BIO-506: Lab immersion in industryEngaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis. ...
ENV-370: Environmental system analysis and assessmentLes enjeux environnementaux doivent être abordés de façon systémique. L'Analyse du Cycle de Vie (ACV) et l'Analyse de Flux de Matière (AFM) sont des méthodes permettant d'évaluer de façon globale les performances environnementales des produits, des service ...
CH-457: AI for chemistryThe AI for Chemistry course will focus on teaching students how to use machine learning algorithms and techniques to analyze and make predictions about chemical data. The course will cover topics such as the basics of machine learning, common algorithms an ...
CIVIL-424: Innovation for construction and the environmentThe course delves into how innovation in construction, seen as an engineering process, progresses through steps and stages. It focuses on three main areas: (1) introducing new materials, (2) integrating digital systems, and (3) measuring sustainability and ...
BIOENG-210: Biological data science I: statistical learningProcessing, analyzing, and interpreting large biological datasets is an essential skill for modern biologists. This course aims to provide the theoretical foundations, analytical techniques, and software tools necessary to effectively manage and derive ins ...
BIO-410: Bioimage informaticsThe course provides a comprehensive overview of methods, algorithms, and computer tools used in bioimage analysis. It exposes fundamental concepts and practical computer solutions to extract quantitative information from multidimensional images, both using ...
ENV-444: Exploratory data analysis in environmental healthThis course teaches how to apply exploratory spatial data analysis to health information. Teaching focuses on the role of GIS and spatial statistics in spatial epidemiology. It proposes a context to investigate the relationship between health, quality of l ...
