DDLS Course

Course content of the Data-driven Life Sciences course offered in 2025.

Important Dates: Application open: June 5th, 2024 Application closes: Aug 19, 2024 First lecture: Aug 27, 2024, 08:00 CEST Hackathon: Oct 9-11, 2024 Final Project: Oct 7-27, 2024 Final Project consultation: Oct 17, 08:00-11:00 CEST Final Project Report submission deadline: Sunday, Oct 27, 2024, 23:59 CEST Oral Presentation (batch 1): Tuesday, Oct 29, 2024, 8:00-10:00 CEST (only for Master’s students) Oral Presentation (batch 2): Wednesday, Oct 30, 2024, 8:00-10:00 CEST (only for Master’s students) Lectures, Computer Labs, and Journal Clubs will be held online via Zoom.

Final Project

Start date: Week 41 (7th October 2024) Final Project The final project allows students to showcase their learning by proposing their own dataset and project idea. This open-ended assignment encourages participants to explore topics of interest within data-driven life science and apply the skills gained throughout the course individually or in a pair (both members should be at the same level, e.

Module 3 [1 ECTS] - Bioinformatics and Metagenomics

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Module 6 [1 ECTS] - Computational Modeling and Automated Scientific Discovery

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Module 1 [0.5 ECTS] - Introduction to DDLS, AI and ChatGPT

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DDLS Hackathon - A Code Festival for the SciLifeLab/DDLS Community

Hackathon Join us at the DDLS Hackathon, a vibrant code festival for the SciLifeLab/DDLS community! This hackathon is part of the 2024 DDLS course and participants will collaborate on their projects in the dynamic field of data-driven life science, supported by teaching assistants in a hands-on environment.

Module 2 [1 ECTS] - Advanced AI Techniques in Biological Systems

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Module 5 [1 ECTS] - Single Molecule Analysis and Tissue Atlases

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Module 4 [1 ECTS] - AI in Bioimage Analysis

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📊 HT2024: Data-driven Life Sciences

Course content of the Data-driven Life Sciences course offered in 2024.

Module 4: Computational Methods in Evolution and Biodiversity

We will join the Computational Methods in Evolution and Biodiversity workshop in Stockholm University, participate in lectures by Serge Belongie, Katie E. Lotterhos, Tobias Andermann (DDLS Fellow) et al. on 21st Sept. The computer lab will happen on the same day in the afternoon.

Module 3: Super-Resolution Microscopy and Analytics to Investigate Complex Cellular Processes and Diseases

Lecture by Juliette Griffié (DDLS Fellow) on 12th Sept, at 08:00-10:00.

Module 6: Model Construction and Features of Alphafold2

Lecture by Darko Mitrovic (PhD) on 3rd Oct.

Module 2: Generative AI and its Applications in Life Sciences

We will introduce the basics of generative AI and its potential in life science. We will also cover recent trend of using generative large-language models and practical skills on how to use ChatGPT for reading, writing, planning and code generation. Lecture by Wei Ouyang (DDLS Fellow) on 5th Sept.

Module 5: Multi-omics Data Analysis and BioImage Analysis and Deep Learning

Lecture by Wen Zhong (DDLS Fellow) and Estibaliz Gómez de Mariscal (PhD)

Module 1: Introduction to DDLS and machine learning

We will introduce the concept of data-driven life sciences and the data life cycle, the course and the different modules, and some basics about using ChatGPT. Lecture by Wei Ouyang on 29th August.

📊 HT2023: Data-driven Life Sciences

Course content of the Data-driven Life Sciences course offered in 2023.

Prerequisites

Be prepared As prerequisites for the course, we recommend that you have a look at the following resources: Please have a look at the SciLifeLab Data-Driven Life Science (DDLS) initiative website to understand what data-driven life sciences are, and how Sweden is investing in this area.

Course Schedule

Important dates Course start: 29 August 2023 Course registration deadline: 4 September 2023 Course end: 6 October 2023 Exam: 11 October 2023 & 25 October 2023 NOTE: The schedule is subject to change, please keep an eye on the email announcement and the updated schedule HERE (which may differ from the schedule at KTH course web).

Prerequisites

Be prepared As prerequisites for the course, we recommend that you have a look at the following resources: Please have a look at the SciLifeLab Data-Driven Life Science (DDLS) initiative website to understand what data-driven life sciences are, and how Sweden is investing in this area.