Phd courses at CIM
Do you have an idea about a course that would be perfect for CIM? Send your suggestion to the director of CIM, Jörgen Östensson.
Upcoming courses
Autumn 2024
Topological Defects. Contact: Michele del Zotto
Numerical Linear Algebra and Optimisation. Contacts: Roman Iakymchuk, Prashant Singh and Martin Almquist
Spring 2024
Bayesian Inference. Contact: Silvelyn Zwanzig
Multiphysics modeling and computation of coupled and nonlinear problems. Contact: B. Emek Abali
Previous courses
Autumn 2023
Mathematical foundations for computational science. Contact: Elisabeth Larsson
Perturbation methods in mechanics. Contact: Antonio Segalini
Spring 2022
Scalable Data Science and Distributed Machine Learning. Contact: Raazesh Sainudiin
Autumn 2021
Quantum computation. Contact: Erik Sjöqvist
Graph based image processing and combinatorial optimization. Contact: Filip Malmberg
Autumn 2019
Sequential Monte Carlo methods. Contact: Thomas Schön
Deep Neural Networks for Beginners. Contact: Gabriele Messori
Spring 2019
Innovative clinical trials – Connecting theory and practice through adaptive designs and digital development. Contact: Yevgen Ryeznik
Spring 2018
Optimal designs and randomization techniques for clinical trials. Contact: Yevgen Ryeznik
360-in-525 Minutes Course Set in Data Sciences, (course page at LaMaStEx's website). Contact: Raazesh Sainudiin