18
July
2016
7-8
November
2016
14-17
November
2016
6-8
December
2016
30-1
May/Jun
2017
11-13
September
2017
14-15
September
2017
5-6
October
2017
23
January
2018
19
February
2018
21
February
2018
5
March
2018
7
March
2018
13
March
2018
24
April
2018
12-13
June
2018
15
June
2018
25
June
2018
26
June
2018
20-21
August
2018
26-31
August
2018
1-6
Oct/May
2018
10
October
2018
24-25
October
2018
6
November
2018
13-14
May
2019
15
May
2019
20-21
May
2019
10
September
2019
8
October
2019
21-22
October
2019
7
November
2019
9-10
January
2020
6
March
2020
30-31
March
2020
19
June
2020
22
June
2020
16
September
2020
21-22
September
2020
20
October
2020
26-27
October
2020
9-10
November
2020
13
November
2020
16-30
November
2020
3
December
2020
10
December
2020
8-22
January
2021
11
January
2021
19-2
Jan/Feb
2021
5-6
February
2021
25-4
Feb/Mar
2021
19-2
Mar/Apr
2021
29-1
Mar/Apr
2021
11
May
2021
20-27
May
2021
21-4
May/Jun
2021
25
May
2021
11-18
June
2021
14-16
June
2021
1-5
Jul/Aug
2021
27-10
Aug/Sep
2021
30-7
Sep/Oct
2021
25-26
October
2021
15
November
2021
18-25
November
2021
2
December
2021
9-16
December
2021
24-25
December
2021
With Dodona we provide an online learning environment for learning to code. It supports various programming languages and acts as an online co-teacher. The focus is on automatic corrections and giving meaningful feedback to students on submitted solutions. Teachers can create their own course, composed of different series of existing or custom made exercises. Built-in learning analytics and data visualisations allow easy monitoring of the progress of students. Watch the video trailer of the interactive course on Python to get a feel for working with Dodona, both as a student and as a teacher.
VIB’s e-learning platform offers online courses on a variety of topics including Alphafold on the HPC, Containers as a cornerstone of reproducible data analysis, Next generation sequencing analysis, Bulk and Single cell RNAseq analysis, and Protein structure analysis.
10
January
2022
14-28
January
2022
17
January
2022
4-6
February
2022
10
March
2022
31
March
2022
4-18
May
2022
15
June
2022
17
June
2022
3-17
August
2022
13
September
2022
15-22
September
2022
27
September
2022
29-4
Sep/Oct
2022
24-26
October
2022
3-17
November
2022
17-18
November
2022
21-23
November
2022
12-13
December
2022
4-18
January
2023
8
February
2023
13-14
March
2023
30-31
March
2023
12-26
April
2023
17-21
April
2023
2
May
2023
16-17
May
2023
2-9
June
2023
14-15
June
2023
11-12
September
2023
12-13
October
2023
20
October
2023
13-14
November
2023
16-17
November
2023