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.
- "It is special to get a glimpse of what it is to be a data scientist for real. Something bad is the work required for the practicum, which is a bit too much" -- a student from the 2021 edition
- "I could say this is the best subject I've had during the studies" -- a student from the 2021 edition
- "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
π§ These materials should not be considered final until the end of the course.
- π Theory: slides and planning for the theory part.
- π» Practicum: activities for practical sessions.
- π Datasets: to be used during practical sessions.
- π Exams from previous and current year.
Material specific to UPF students:
- π Course presentation: general aspects of the course at UPF ("plan docente").
- π Evaluation rules for course at UPF.
- π Calendar for course at UPF.
I am thankful to Aris Gionis and Aris Anagnostopoulos for their comments on an earlier version of these materials. Thanks to Miguel Angel CordobΓ©s 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.