W#14

Jan Lorenz

Today

1. A note on synthetic data sets
2. Timeline to finish the semester
3. Course Goals
4. Mock Exam
5. Students evaluation of teaching (SET)

Synthetic data sets

• Synthetic data sets are data sets that are generated by a computer program
• They are used to test algorithms and to illustrate concepts
• They are also used to protect privacy of real data sets

For data science project:

• Better use real data
• From synthetic data it is very hard to learn about the real world
• Interpretation of results with respect to the real world is very limited
• Theoretical insights are often very generic

Timeline to finish the semester

• Today: Monday, Dec 4
• Thursday, Final Tools Session: Work-in-progress presentation of your Data Science Projects
• This week: Feedback on Homework repositories shall be prepares by instructors.
• By Sunday, Dec 10: Write your questions on the achievements of the course for the exam to me (Email or Teams).
• Monday, Dec 11: I will answer your questions in the organization repo.
• Friday Dec 15: Receive final information on the exam by email or Teams. Project
• Saturday, Dec 16, 9:00-11:00: Final exam
• Friday, Dec 22: Push your final commits for the Data Science Project

Course Goals

1. Enable you to do data analysis projects on your own
2. Enable you to learn on your own
   • analysis concepts
   • programming tools
   • being aware of relevant domain knowledge
   • communicate your results in reproducible reports

Next courses with me

Spring 2024

• Data Science Lab
• Introduction to Computational Social Science

Fall 2024

• Visual Communication and Data Storytelling

Mock Exam

• Discuss questions in groups of 2-3 students
• Question round

Students evaluation of teaching (SET)

• Fill out the survey for this course (you have received access by email)
  • It is anonymous, we will not see personalized evaluations
• We, the instructors, are very interested to read your feedback
  • All 3 instructors will share the feedback