Difference between revisions of "Teaching"
 
(17 intermediate revisions by 2 users not shown)
Line 2: Line 2:
  
 
----
 
----
 +
 +
= 2024 =
 +
* [[UNIL BSc course: Solving Biological Problems that require Math 2024]]
 +
* [[UNIL BSc course: Bioinformatics for Genomics 2024]]
 +
* [[UNIL BSc course: Bioinformatics Projects 2024]]
 +
* [[UNIL BSc course: Diffusion in Biology 2024]]
 +
* [[UNIL MSc course: Data Analysis I 2024]]
 +
 +
 +
= 2023 =
 +
* [[UNIL BSc course: Bioinformatics for Genomics 2023]]
 +
* [[UNIL BSc course: Solving Biological Problems that require Math 2023]]
 +
* [[UNIL MSc course: Data Analysis I 2023]]
 +
 +
= 2022 =
 +
* [[UNIL BSc course: Bioinformatics for Genomics 2022]]
 +
* [[UNIL BSc course: Solving Biological Problems that require Math 2022]]
 +
* [[UNIL MSc course: Data Analysis I 2022]]
 +
 +
= 2021 =
 +
* [[UNIL BSc course: Bioinformatics for Genomics 2021]]
 +
* [[UNIL BSc course: Solving Biological Problems that require Math 2021]]
 +
* [[UNIL MSc course: Data Analysis I 2021]]
 +
 +
= 2020 =
 +
* [[UNIL BSc course: Bioinformatics for Genomics 2020]]
 +
* [[UNIL BSc course: Solving Biological Problems that require Math 2020]]
 +
* [[UNIL MSc course: Data Analysis I 2020]]
 +
* [[UNIL MSc course: Case studies in bioinformatics 2020]]
 +
 +
= 2019 =
 +
* [[UNIL BSc course: Solving Biological Problems that require Math 2019]]
 +
* [[UNIL MSc course: Case studies in bioinformatics 2019]]
 +
* [[UNIL PhD course: Biology for non-biologists 2019]]
 +
 +
= 2018 =
 +
* [[UNIL BSc course: "Solving Biological Problems that require Math 2018"]]
 +
* [[UNIL MSc course: "Case studies in bioinformatics 2018"]]
 +
* [[UNIL PhD course: "Biology for non-biologists 2018"]]
 +
 +
= 2017 =
 +
* [[UNIL BSc course: "Solving Biological Problems that require Math 2017"]]
 +
* [[UNIL MSc course: "Case studies in bioinformatics 2017"]]
  
 
= 2016 =
 
= 2016 =

Latest revision as of 16:20, 29 April 2024

Teaching statement: Giving seminars and courses related to computational biology is a prime objective of the Computational Biology Group. Our aim is to provide biology students at all academic levels with knowledge about basic concepts of computational and quantitative biology. We believe that – at a time where high-throughput genomic technologies are entering more and more into biological and bio-medical research – it is a prerequisite for all students of biology to be exposed to basic tools of large-scale data analysis. Similarly, quantitative assays and imaging allow for mathematical modeling of biological systems in space and time that produces testable hypotheses. Since formal (mathematical and computational) education receives comparatively less emphasis (and interest) in the classical life sciences, educating students in these fields is a major challenge. In our experience a significant number of biology students are uncomfortable in using mathematics, which may be rooted already in their high school education or even before. The frontal courses offered to biology students may help brushing up basic mathematical skills of some students, but are less likely to be effective for many students who have long lost their interest and self-confidence in solving mathematical problems. We thus attempt to provide also alternative approaches, like our annual hands-on UNIL BSc course: "Solving Biological Problems that require Math" that is directed at undergraduate students (see Concept).

2024


2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

Retrieved from "http://www2.unil.ch/cbg/index.php?title=Teaching&oldid=6835"