Timeplan 2023 Vår - lærer Daniel Kumazawa Morais -

Content

- Structure of the course

- Why/What is data science and bioinformatics?

- Invited speaker: Alf-Martin Søllund, BarentsWatch 

Content

- What is the R language and Rstudio and its main components

- Most used packages for Data Sciences

- Data structures and classes in R

Content

- Descriptive vs Inferential statistics

- Frequentist approach for hypothesis testing vs the Bayesian paradigm

- Linear Models in R

Contents

- Origins and rationale behind the Grammar of Graphics (ggplot)

- Suitable visualization for each type of data

- Best practices for data visualization

Contents

- Algorithms for Supervised and Unsupervised Learning

- Key concepts to evaluate the performance of a Machine Learning approach

Content

- Using R language for business intelligence

- Invited speaker: Tara Zeynep Baris (HUB Ocean/Ocean Data Platform)

Contents

- The role of bioinformatics in fisheries and aquaculture

- Bioinformatics and the future of aquaculture and fisheries management

- Sources of data for bioinformatics

Contents

- Examples of biological data

- What are the main biological databases

- How to use the main biological databases

Contents

- Genomics for aquaculture

- Metagenomics for aquaculture

- Integration of omics tools