Timeplan 2023 Vår - lærer Daniel Kumazawa Morais -
Daniel Kumazawa Morais
Uke 17
Mandag
10:15-14:00 - 24.04.2023
Practical
P3: Statistics for Big data
3
P3: Statistics for Big data
3
Tirsdag
10:15-12:00 - 25.04.2023
Lecture
L5: Data modelling and interpretation
5
L5: Data modelling and interpretation
5
Contents
- Algorithms for Supervised and Unsupervised Learning
- Key concepts to evaluate the performance of a Machine Learning approach
12:15-16:00 - 25.04.2023
Practical
P4: Data modelling and interpretation
4
P4: Data modelling and interpretation
4
Onsdag
12:15-14:00 - 26.04.2023
Lecture
L6:Turning data into actionable insights. Knowledge-base management
6
L6:Turning data into actionable insights. Knowledge-base management
6
Content
- Using R language for business intelligence
- Invited speaker: Tara Zeynep Baris (HUB Ocean/Ocean Data Platform)
Torsdag
12:15-14:00 - 27.04.2023
Lecture
L7:Introduction to bioinformatics
7
L7:Introduction to bioinformatics
7
Contents
- The role of bioinformatics in fisheries and aquaculture
- Bioinformatics and the future of aquaculture and fisheries management
- Sources of data for bioinformatics
Fredag
08:15-12:00 - 28.04.2023
Practical
P5:Introduction to bioinformatics
5
P5:Introduction to bioinformatics
5