Instructor: Carlos Castillo
These are materials for a twelve-weeks undergraduate course on Data Mining, and include two-hour lectures and two-hour practice sessions every week. They were developed for third year students of the bachelor degree on Mathematical Engineering on Data Science at Universitat Pompeu Fabra, Barcelona.
- "I found this subject especially interesting and useful for our future as data scientists. The practices were reflecting the theory concepts and were very guided which I really appreciated. Also, good point that the datasets were so updated." -- a student from the 2020 edition
- "The learning methodology is excelent and students are given quality materials for learning. As a negative point, the workload is excessive" -- a student from the 2020 edition
- "A lot of work in the practices, but it was helpful" -- a student from the 2020 edition
- "Exciting and really helpful for our future as data scientists" -- a student from the 2019 edition
- "A lot of work. However, the theory and practice materials are excellent" -- a student from the 2019 edition
🚧 These materials should not be considered final until the end of the course.
- 📈 Theory: slides and planning for the theory part.
- 💻 Practicum: activities for practical sessions.
- 📁 Datasets: to be used during practical sessions.
- 📝 Exams from previous and current year.
Material specific to UPF students:
- 📜 Course presentation: general aspects of the course at UPF ("plan docente").
- 🎓 Evaluation rules for course at UPF.
- 📆 Calendar for course at UPF.
This course will be delivered face to face in 2021, although it was adapted for online learning in 2020. The main changes were that theory lessons are divided into smaller modules, there is only one midterm exam instead of two, no two-people assignments are requested, and individual practices are a little bit longer but more time is given to complete them.
I am thankful to Aris Gionis and Aris Anagnostopoulos for their comments on an earlier version of these materials. Thanks to Miguel Angel Cordobés for his work on several of the practical sessions, and to Fedor Vitiugin for his corrections and improvements on the practical sessions.
All course materials are available under a Creative Commons license unless specified otherwise.