Exam January 2025

Solutions to Exam Jan 2025 Download Solutions to Exam Jan 2025

causalinferenceSOLUTION.ipynb Download causalinferenceSOLUTION.ipynbidentificationSOLUTION.m Download identificationSOLUTION.mphysicalSOLUTION.m Download physicalSOLUTION.mphysicalmodellingSOLUTION.ipynb Download physicalmodellingSOLUTION.ipynb

This page is used for two things:

1) Distribution of code and data you need access to during the exam.

2) For handing in the exam.

The exam questions will be given to you on a physical paper at the start of the exam.

Allowed aid: All material is permitted, such as course material (including old exams), internet access, and AI-tools such as ChatGPT, but the purpose of the exam is to convince us that you have understood the course content. For each problem, you should explain how you have solved it, including what kind of tools and prompts you have used. Communication with other persons is not allowed.

Hand-in instructions: The submission of the exam is done digitally on the exam Canvas page. Hand in your solutions and code as one zip-file named your_anonymization_code.zip. If you have written any solutions on paper, write your personal identifier on each page and then scan/photo each page and add them to your zip-file, ideally with all photos merged into a single pdf.

All solutions must be well motivated! Full marks are only given to answers with correct explanation.

Code that is relevant to your solutions should be submitted. We expect you to submit code for at least Problems 1, 2, and 4.

Preliminary limits for grades (out of 50p):   3: 25p, 4:33p, 5: 42p.

Good luck!

1) Causal inference [12 points]

causalinference.ipynb Download causalinference.ipynb

2) System identification [10 points]

armaxdata.mat Download armaxdata.mat

3) Dimensional Analysis [7 points]

airdata.csv Download airdata.csv

4) Supervised machine learning [12 points]

data_ml.csv Download data_ml.csv

ml_notebook.ipynb Download ml_notebook.ipynb

5) Singular value decomposition and principal component analysis [9 points]

No data or files provided