Topic outline

  • Passing the course

    You can choose a 1 credit version, 3 credit version, 5 credit version or 6 credit version of the course. You don't need to know in advance which version you will take. The machine learning assignments of the 5 and 6 credit versions are presented after lecture 4 on Machine Learning. 

    1 credit version:
    lecture diary on 6 lectures, based on the lectures and/or the lecture material. Instructions on the lecture diary will be given after the first lecture. 
    The diary is graded Passed/Failed. 

    3 credit version: 
    the 1 credit version (lecture diary) AND
    • an essay of 8-10 pages (without figures, pictures, indices, and references) ,
    • or 10 minutes PowerPoint & video presentation (audio is sufficient), with a 2 page summary of the content 
    on some of the topics considered during the course. The work is graded 0-5. 

    Possible topics for the essay are given in the beginning of the course. The list will be completed during the course. 

    5-6 credit version:
    the 3 credit version AND
    personal computational assignment on machine learning with financial data. To do this assignment, knowledge on both programming and finance is needed—this assignment is carried out very individually.


    There will be a hands-on course in Machine Learning in Finance in period IV.

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