Pre-course Assignment

As a part of your course application you need to submit solutions to the following pre-course assignment. The functions you implement here you also need for your first hand-in assignment in the course. The purpose if this assignment is to make sure that all participants have the basic knowledge of programming that is required to follow the course.

To solve this assignment (and all other assignments in the course) you may use any software you want, but we recommend to use Python. You do not need any knowledge about Python to complete the assignments in the course, but you do need some programming experience from other languages for scientific computing like Matlab or R and be willing to learn it on your own. We recommend to install Python 3 via Anaconda. Then you get both Python as well as other commonly used packages for scientific computing and data science. If you are new to python the following introductory crash course is also very well suited for the content of this course.

Instructions

• Instructions: pre-course-assignment.pdf Download pre-course-assignment.pdf
   
• Data: Auto.csv Download Auto.csv (the link in the pdf is broken)
• Code for loading data: load_auto.py Download load_auto.py (python)
  
  Errata in the instructions: When all inputs are considered, the cost function should get down to approximately 10.8.

Submission

If you have not yet done so, sign up for the course by sending an email to Niklas Wahlström Links to an external site.. When you have been admitted and entered to Studium, you can submit your pre-course assignment via this page. Note that you have to submit your pre-course assignment no later than March 1 for your course application to be complete. If no solution is submitted on March 1, your course application will be invalidated. If you have questions regarding the pre-course assignment you can ask them here (require access to the Studium page)