Timeplan

This page contains a schedule of the teaching sessions. Most of the teaching will take place between August 5 and August 16, 2024, with additional supervision on August 20. Each day will generally contain one or two teaching sessions. Most sessions will follow the daily schedule below:

  • Morning session (9-12):
    • 9-10 Live lecture,
    • 10-12 Notebook with integrated lecturing videos on technical aspects of the session + exercises
  • Lunch break (12-13):
  • Afternoon session (13-16):
    • 13-14 Live lecture,
    • 14-16 Notebook with integrated lecturing videos on technical aspects of the session + exercises
  • Office hour, optional: varies (booking system through Google Sheets, see link in the schedule below)

The complete schedule of sessions is listed below with title, lecturer and links to material. Unless otherwise specified, the teaching will use the hours specified above. See practical information for where lectures and exercise classes take place.

Materials will be added as the course progresses.

Date Time Title Teachers Material
——- Preparation ——-
Jun 21 Assignment 0 posted nb
Aug 01 12:00 Assignment 0 hand-in abs
——— Week 1 ———
Aug 05 9-11 1a. Course welcome + intro to SDS ABN pdf
11-12 1b. Meet group TAs
13-16 2. Data Structuring 1 ABN & TAs le , nb, nb_sol
Aug 06 9-12 3. Data Structuring 2 ABN & TAs le, nb, nb_sol
12-13 Office Hour ABN gs
13-16 4. Plotting ABN & TAs le , nb, nb_sol
23:59 Assignment 1 posted – nb
Aug 07 9-12 5. Strings, Queries and APIs ABN & TAs le , nb, nb_sol
13-16 6. Scraping 1 HFB & TAs le, nb, nb_sol
Aug 08 9-12 7. Scraping 2 HFB & TAs le, nb, nb_sol
12:59 Fill in supervision sheet – gs, pdf
13-15 TA help + Supervision * TAs gs, pdf
Aug 09 9-11 9. Data Ethics ABN pdf
13-14 Exam talk HFB le
14-17 TA help + Supervision * TAs gs
Aug 09 23:59 Assignment 1 hand-in - abs
——— Week 2 ———
Aug 12 9-12 8. Scraping 3 HFB & TAs le, nb, nb_sol
12-13 Office Hour HFB gs
Aug 13 9-12 10. ML Introduction ABN & TAs le, nb, nb_sol
13-16 11. Regression and Regularization ABN & TAs le, nb, nb_sol
23:59 Assignment 2 posted – nb
Aug 14 9-12 12. Model Selection and Cross-validation ABN & TAs le, nb, nb_sol
13-14 13. Performance Metrics, Non-linear ML, and Perspectives ABN le
Aug 15 9-12 14. Text as Data HFB & TAs le, nb, nb_sol
12-13 Office Hour HFB gs
13-15 TA help * TAs All previous material
Aug 16 9-12 Exam talk + TA help + Supervision HFB & TAs nb
13-15 TA help + supervision * TAs gs
23:59 Assignment 2 hand-in abs
——— Week 3 ———
Aug 20 10-12 Supervision 3 * TAs gs
Aug 20 20:00 Exam project description due pdf, abs
Aug 28 10:00 Hand-in Exam on Digital Exam

* : optional participation

Main lecturers

Teaching assistants (TAs)

  • Johan Kielgast Ladelund (JKL)
  • Mikkel Reich (MR)
  • Jonathan Wenzel Pedersen (JWP)

Download material using Github Desktop

  • Download Github Desktop and make a Github account.

  • Open Github Desktop and go to File -> Open Repository

  • Go to the URL-tab and choose the course Github page (isdsucph/isds2024), and where you want to save it on your own computer.

  • Now you can access the files on you own computer.

  • If there have been updates to the ISDS-repository on GitHub, you can update it (known as pull, sync or fetch) in GitHub Desktop by choosing ISDS as your Current repository and press Fetch origin.

  • NB! When you make changes to your Notebooks, make a copy of the file, with a now name. Else you risk overwriting your changes, the next time you update the repository.

Legend

  • {le, nb, sol}: Respectively refer to lecture slides, exercises / assignment and solution to exercises in Jupyter Notebook format
  • pdf: Slides in PDF format or just PDF file
  • gs: Google Sheets link
  • abs: Link to Absalon