| Prep | Morning | Afternoon | Due | Book | |
|---|---|---|---|---|---|
| Week 13 | |||||
| Mon, Mar 23 | π» Access a laptop | π Obligatoriskt upprop, Introduction to course π Heden (G110) π 11:00β12:00 |
π» Introduction to exploratory data analysis π Heden (G110), Γngen (G111) π 13:00β16:00 |
β
Lab report β° 17:00 |
|
| Tue, Mar 24 | π¨π»βπ« Data, plots and descriptive statistics π HΓΆrsal BlΓ₯ hallen π 09:00β12:00 |
π» Introduction to R π Heden (G110), Γngen (G111) π 13:00β16:00 |
π IMS2 [1] [4] [5] π οΈ HOPR [2] |
||
| Wed, Mar 25 | π» Reproducible analyses in R π Heden (G110), Γngen (G111) π 09:00β12:00 |
π» Reproducible analyses in R π Heden (G110), Γngen (G111) π 13:00β16:00 |
π οΈ R4DS [1] [3] [5] [7] [10] [28] | ||
| Thu, Mar 26 | π¨π»βπ« The scientific method & experimental design π HΓΆrsal RΓΆda rummet π 09:00β12:00 |
π IMS2 [2] | |||
| Fri, Mar 27 | π¨π»βπ« The foundations of inference π HΓΆrsal BlΓ₯ hallen π 09:00β12:00 |
π» Statistical inference with bootstrap π Heden (G110), Γngen (G111) π 13:00β16:00 |
β
Lab report β° 17:00 |
π IMS2 [12] [16.1] [17.2] [19.1] [20.2] [21.2] | |
| Week 14 | |||||
| Mon, Mar 30 | π¨π»βπ« Vetenskaplig integritet och etik π HΓΆrsal RΓΆda rummet π 09:00β12:00 |
π¨π»βπ« Null hypothesis testing & test statistics π HΓΆrsal RΓΆda rummet π 13:00β15:30 |
|||
| Tue, Mar 31 | π» Hypothesis testing with randomisation π Heden (G110), Γngen (G111) π 09:00β12:00 |
π» Hypothesis testing with randomisation π Heden (G110), Γngen (G111) π 13:00β16:00 |
β
Lab report β° 17:00 |
π IMS2 [11] [14] [17.1] [18.1] [20.1] [21.1] [22.2] | |
| Wed, Apr 1 | π¨π»βπ« Regression modelling π HΓΆrsal BlΓ₯ hallen π 09:00β12:00 |
π» Regression modelling in R π Heden (G110), Γngen (G111) π 13:00β16:00 |
β
Lab report β° 17:00 |
π IMS2 [7] [8] [9] [24.1-3] [25] [26] | |
| Week 15 | |||||
| Tue, Apr 7 | π¨π»βπ« Statistical inference with mathematical models π HΓΆrsal BlΓ₯ hallen π 09:00β12:00 |
π IMS2 [13] [16.2] [17.3] [18.2] [19.2] [20.3] [21.3] [22.3] [24.4-5] | |||
| Wed, Apr 8 | π Read seminar papers | π¬ Group seminar π Krypt - Masklaven (T105a), Krypt - Renlaven (T108), Ris - Hjortronet (T104), Ris - KrΓ₯kbΓ€ret (T107), Ris - Lingonet (T105), Ris - RipbΓ€ret (T106) π 09:00β12:00 |
π» Data analysis & report writing exercise π Heden (G110), Γngen (G111) π 13:00β16:00 |
||
| Thu, Apr 9 | π» Data analysis & report writing exercise π Heden (G110), Γngen (G111) π 09:00β12:00 |
π» Data analysis & report writing exercise π Heden (G110), Γngen (G111) π 13:00β16:00 |
β
Analysis and report β° 17:00 |
||
| Fri, Apr 10 | π» Exam practise π Heden (G110), Γngen (G111) π 13:00β16:00 |
||||
| Week 16 | |||||
| Tue, Apr 14 | β Prepare questions | β Question & answer session for exam π HΓΆrsal BlΓ₯ hallen π 09:00β10:00 |
|||
| Thu, Apr 16 | π Read the exam guide | π Exam π Heden (G110), Maskrosen (E121) π 09:00β13:00 |
β
Exam β° 13:00 |
||
| Fri, Apr 17 | π¨π»βπ« π₯ Introduction to project work & Project work π Γngen (G111) π 09:00β12:00 |
π₯ Project work π Γngen (G111) π 13:00β16:00 |
β
Project proposal β° 14:00 |
||
| Week 17 | |||||
| Mon, Apr 20 | π₯ Project work π Γngen (G111) π 09:00β12:00 |
π₯ Project work π Γngen (G111) π 13:00β16:00 |
|||
| Tue, Apr 21 | π₯ π¨π»βπ« Project work & Exam feedback and review π Γngen (G111) π 09:00β12:00 |
π₯ Project work π Γngen (G111) π 13:00β16:00 |
|||
| Wed, Apr 22 | π₯ Project work π Γngen (G111) π 09:00β12:00 |
π₯ Project work π Γngen (G111) π 13:00β16:00 |
|||
| Thu, Apr 23 | π₯ Project work π Γngen (G111) π 09:00β12:00 |
β
Project report β° 13:00 |
|||
| Fri, Apr 24 | π Read assigned report β¬οΈ Upload slides |
π€ Project presentations π HΓΆrsal BlΓ₯ hallen π 09:00β12:00 |
π€ Project presentations π HΓΆrsal BlΓ₯ hallen π 13:00β16:00 |
β
Peer-review β° 17:00 |
|
| Week 19 | |||||
| Thu, May 7 | π Read the exam guide | π Retake exam π Maskrosen (E121) π 13:00β17:00 |
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Course overview
Spring 2026
On this website you will find all materials for sections taught by Iain Moodie on the course BIOB11 at Lund University. All course communication should take place on LU Canvas. The full schedule for the spring 2026 version of the course is shown below. Previous versions of the course are archived as releases on GitHub.