ENV-540: Image processing for Earth observationThis course covers optical remote sensing from satellites and airborne platforms. The different systems are presented. The students will acquire skills in image processing and machine/deep learning to extract end-products from the images such as land cover ...
MSE-352: Introduction to microscopy + Laboratory workCe cours d'introduction à la microscopie a pour but de donner un apperçu des différentes techniques d'analyse de la microstructure et de la composition des matériaux, en particulier celles liées aux microscopies électronique et optique. Le cours comprend d ...
MICRO-511: Image processing IIntroduction to the basic techniques of image processing. Introduction to the development of image-processing software and to prototyping using Jupyter notebooks. Application to real-world examples in industrial vision and biomedical imaging. ...
DH-412: History and the digitalThe course presents a number of computational approaches & tools that can be used to study history. Drawing on case studies from the history of science & technology, the course also offers students the opportunity to critically reflect on their own practic ...
BIO-695: Image Processing for Life ScienceRegistration details will be announced via email. It takes place yearly from Sept./October to December & intends to teach image processing with a strong emphasis of applications in life sciences. The idea is to enable the participants to solve image-proces ...
EE-490(f): Lab in signal and image processingThese lab sessions are hands-on exercises focusing on the basics of image processing and deep learning. The main objective is to learn how to use some important image processing libraries, namely OpenCV, numpy and TensorFlow, to perform image analysis task ...
EE-805: Fundamentals of Image AnalysisThis summer school is an hands-on introduction on the fundamentals of image analysis for scientists. A series of lectures provide students with the key concepts in the field, and are followed by practical sessions with popular software on the participants' ...
MICRO-512: Image processing IIStudy of advanced image processing; mathematical imaging. Development of image-processing software and prototyping in Jupyter Notebooks; application to real-world examples in industrial vision and biomedical imaging. ...
MICRO-518: Quantitative imaging for engineersThis course will arm students with knowledge of different imaging techniques for practical measurements in many different fields of engineering.
Modalities will range from drone imaging all the way down to x-ray microscopy with practical sessions ...
BIO-603(PA): Practical - Persat LabThe student will learn how to:
- perform high resolution microscopy of single bacterial cells
- perform a motility assay
- operate high resolution microscope
- analyze image data ...
MICRO-452: Basics of mobile roboticsThis course gives an overview of the field of mobile robotics, introducing to the main techniques and allowing to test them in exercises and a team-based project. ...
ME-373: Finite element modelling and simulationL'objectif de ce cours est d'apprendre à réaliser de manière rigoureuse et critique des analyses par éléments finis de problèmes concrets en mécanique des solides à l'aide d'un logiciel CAE moderne. ...
CS-413: Computational photographyThe students will gain the theoretical knowledge in computational photography, which allows recording and processing a richer visual experience than traditional digital imaging. They will also execute practical group projects to develop their own computati ...
DH-406: Machine learning for DHThis course aims to introduce the basic principles of machine learning in the context of the digital humanities. We will cover both supervised and unsupervised learning techniques, and study and implement methods to analyze diverse data types, such as imag ...
MICRO-573: 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. ...
PHYS-647: Image data science with Python and NapariThis course introduces students to the basics of image data science using Napari and Python. Students will learn image filtering, segmentation and feature extraction. Other topics include supervised and unsupervised machine learning techniques for object c ...
MGT-529: Data science and machine learning IIThis class discusses advanced data science and machine learning (ML) topics: Recommender Systems, Graph Analytics, and Deep Learning, Big Data, Data Clouds, APIs, Clustering. The course uses the Wolfram Language. Outcome: coding exercises in ML using rea ...
ENV-445: GeomonitoringThe students learn several techniques for spatial mesurements, such as geodesy, aerial photogrammetry and laser scanning. They will be able to collaborate with geologists and civil engineers to master natural risks (landslides, avalanches) and to maintain ...
