Tutorials
- Reviews in Quantitative Biology (mandatory, organized by C. Dessimoz)
- Reasoning and Logic in Experimental and Computational Biology (recommended, organized by P. Franken)
See also: registration to tutorials
Courses
(You have to be registered as PhD student at the UNIL to be able to register to these courses)
The following courses are vetted by the programme and count toward the 5 specialised ECTS. Other courses might also be eligible—in case of doubt, check a course with the QB administrator.
- Introduction to Matlab programming (Autumn session) (S. Pelet) - 1.5 ECTS
- Bioinformatic algorithms (Spring session) (C. Dessimoz) - 3 ECTS
- Statistics -Module 2: Multiple linear regression (V. Rousson) - 1 ECTS
- Statistics - Module 4: Genomics data analysis - ED 30/Série 3 (V. Rousson) - 1 ECTS
See: registration and also https://www.unil.ch/ecoledoctoralefbm/courses
- *Advanced Population Genetics (Spring session) (A. S. Malaspinas) - 3 ECTS
- *Advanced Python programming (Autumn session) (N. Salamin) - 1.5 ECTS
- *Advanced Quantitative Genetics (M. Robinson) - 1.5 ECTS
- *Computational Thinking in BioMedicine (G. Ciriello) - 1.5 ECTS
- *Industrial Bioinformatics (I. Xenarios) - 1.5 ECTS
- *Phylogeny and Comparative Methods (N. Salamin) - 1.5 ECTS
- Basic Biology for Non-Biologists (recommended, organized by S. Bergmann) - 0 ECTS
- *Introduction to Mathematical and Computational Models in Biology (S. Mitri) - 0 ECTS (not organized in 2020)
- Computational biology driving experimental design (M. Robinson-Rechavi & R. Arguello) - 1.5 ECTS
*deadline for registration: 5 September for Fall semester, 5 February for Spring semester by sending a mail
(Please note that if you have already attended the course while doing your MSc in Lausanne, it cannot count a second time).
Other courses
- Advanced C++ for HPC workshop (ETHZ) - 0.75 ECTS
- Advanced R (CUSO) - 1 ECTS
- Advanced Statistics: Statistical Modeling (SIB) - 1 ECTS
- Applied Biostatistics I (UNIBE) - 2 to 4 ECTS
- Best practices in programming (SIB) - 0.5 ECTS
- Better coding practices (SIB) - 0.25 ECTS
- Docker for reproducible computational research (SIB) - 0.25 ECTS
- First Steps in Parallelization with OpenMP (SIB) -
- GWAS and Beyond (CUSO StarOmics) -
- High Performance Computing for genomic applications (SIB) - 0.25 ECTS
- Introduction to Network Analysis - 0.75 ECTS (CUSO StarOmics & SIB)
- Introduction to R Shiny (SIB) - 0.25 ECTS
- Ligand-protein docking, and computer-aided drug design (SIB) - 0.5 ECTS
- Machine Learning applied to Systems Biology (SIB) - 2 ECTS
- Mixed Models in Quantitative Genetics (CUSO Ecology & Evolution + Doctoral program in Organismal biology) - 1.5 ECTS
- Population Genetic Data Analysis (CUSO Ecology & Evolution + Doctoral program in Organismal biology) - 1.5 ECTS
- Quantitative Genetics (CUSO Ecology & Evolution + Doctoral program in Organismal biology) - 1.5 ECTS
- Statistical methods for big data in life sciences and health (SIB) - 1 ECTS
- Statistics for Genomic Data Science, from Coursera - 0.5 ECTS
- UNIX scripting for Life Scientists (SIB) - 0.5 ECTS
- 23rd Summer Institute in Statistical Genetics (SISG) -
- Coursera Courses
https://www.sib.swiss/training/upcoming-training-courses - Subscribe to the quarterly newsletter "Swiss Bioinformatics" by putting your email in the Stay tuned box from the website's footer and you will be automatically registered to the mailing-list
https://biologie.cuso.ch/staromics/activities/
https://biologie.cuso.ch/ecologie-et-evolution/dpee-activities/
https://biologie.cuso.ch/molecular-plant-sciences/mps-activities/
https://biologie.cuso.ch/microbiologie/activities/
The policy regarding online courses and a list of vetted ones is available here.
To inquire about the validation within this 5 ECTS credits list for
- a course you want to take but which is not listed here
please send a program, weblink or similar to the coordinator BEFORE the event, and a certificate of attendance for final credit validation.
Please note that you can also participate to EPFL courses (but they do not count toward the 5 specialised ECTS):
To validate all the courses/workshops/presentations/conferences to which you took part, please consult the procedure here.
