Topic outline

  • Grading

    • Here is the list of papers.

      During the last lecture, you will have the opportunity to choose one of them.

      There are two possible tasks: a critical summary for all papers or a Python code to implement and illustrate the algorithms of the paper (only for papers 17, 18, 21, 22, 24, 25)


      The exercise "critical summary" is designed to assess your comprehension of the material and your ability to evaluate its merits, drawbacks, and limitations.

      Your critical summary should include the following elements:

      - Overview of the Paper: Briefly describe the main topic, objectives, and methodology of the paper.

      - Key Findings: Summarize the primary results and conclusions drawn by the authors.

      - Critical Analysis:

      * Strengths: Discuss what you consider the strong points of the paper. This could include novel approaches, significant findings, or effective methodologies.

      * Weaknesses and Limitations: Critically assess any weaknesses or limitations in the paper. Consider aspects like methodology, assumptions, interpretation of data, or the scope of the research.

      * Personal Insights: Provide your own perspective on the paper. How does this paper contribute to the field? Could it be extended?

      * Conclusion: Conclude with your overall assessment of the paper.

      Please ensure your summary is clear, concise, and well-structured. This is an opportunity for you to engage deeply with the material and demonstrate your analytical skills.


      For the "coding" task, the goal is to implement and illustrate the methodology proposed using a Python code.  

      Both the quality of the code and its effectiveness will be evaluated.


      The deadline for submitting your work is March 31st 2024. Please submit your work in a PDF format for the critical summary and in a IPYNB format for the code at

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