CS-E5745 - Mathematical Methods for Network Science D, Lecture, 12.1.2023-16.2.2023

Topic outline

• Assignments & Project
  • 

    Exercise set 1 Assignment

    26 pts. The deadline for handing in your solutions is Jan 18th, 2023, at 12:00.

    Put a checkmark for each section you have answered here: https://forms.gle/PkswFea9kT7QLQiU9

    
    

  • 

    Exercise set 2 Assignment

     33 pts. The deadline for handing in your solutions is Jan 25th, 2023, at 12:00.

    Put a checkmark for each section you have answered here: https://form2s.gle/ZAY4H9ejgffzDXGQ6

    
    

  • 

    Exercise set 3 Assignment

    33 pts. The deadline for handing in your solutions is Feb 1st, 2023, at 12:00.

    Put a checkmark for each section you have answered here: https://forms.gle/xvSwTryLTB86owep9

    
    

  • 

    Exercise set 4 Assignment

    33 pts. The deadline for handing in your solutions is Feb 8th, 2023, at 12:00.

    Put a checkmark for each section you have answered here: https://forms.gle/DLr6wqvH2bnGSUtm6

    
    

  • 

    Exercise set 5 Assignment

    34 pts. The deadline for handing in your solutions is Feb 15th, 2023, at 12:00.

    Put a checkmark for each section you have answered here: https://forms2.gle/GSaWFpjBAnGbkpL3A

    
    

  • 

    Project Assignment

    In the final project, you will read a scientific article and utilize the new tools learned during the course to show what happens between the lines.

    • The deadline for handing in your solutions is 4th March 2023 at 23:55

    The project is graded as failed, pass, or pass with distinction. If you obtain a pass with a distinction grade from the project, you’ll get one higher course grade than you would get otherwise (obviously assuming you would not be getting a 5 already). To pass the course, one has to get at least 60% of the exercise points as well as a pass from the project.
    

    
    

    Here is a sample of how the project should be done:

    The paper was https://arxiv.org/abs/1604.05521, and the template solution is attached.

    
    

    Learning outcomes

    After finishing the course project, you
    
    

    1. have improved your skills in reading scientific texts,
    2. have experience in recognizing the most important parts of a scientific article,
    3. have seen how to apply the tools and techniques learned during the course on a real-life research problem,
    4. have gained more self-confidence for working on network mathematics and reading articles about it, and
    5. can write an alone-standing, well-structured report on a scientific article