Preparation for computer exercises
- Try using Google Colab (https://colab.research.google.com) before the exercises if you have not used it before.
Following (optional) pre-course learning tasks will help you to understand computer exercises better:
- If you are new to Python programming language, consider learning the basics.
- If you are new to NumPy, consider learning the basics:
- https://www.learnpython.org/ [See Numpy Arrays under Data Science tutorials]
- https://colab.research.google.com/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/Index.ipynb [See Section 2]
Learning diary
Returnables: Filled learning diary (Deadline August 30)
Filled learning diary can be returned in Digicampus site (https://digicampus.fi/course/view.php?id=255).
To obtain 3 ECTS from the course, participants are required to submit a filled learning diary that contains answers to different questions related to the course lectures.
Learning diary questions (updated periodically): https://docs.google.com/document/d/e/2PACX-1vRpMPBc-c_6iSe6zVTSRIauaU2NC6zQM0wwfVBi-p2gx-CSpkxcBxchmPBXTL0L4lC1jmOZJit0kcsh/pub
Project work (done after the course)
Topics: https://docs.google.com/document/d/1ko10aCgW0cohATNtsHnv8cwjAZUdJXpFO-BSMmZYn0Y/edit?usp=sharing
Returnables: Final report and source code (Deadline September 6)
Report and source code can be returned in Digicampus site (https://digicampus.fi/course/view.php?id=255).
By returning an individual project work of sufficient quality, you will get additional 2 ECTS (in total 5 ECTS).