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12 julho 2023, 16:42 Cláudia Antunes

Dear Students!

Welcome to the Data Science course!
This course is going to start on the 2nd period, so its classes are scheduled to start on the November 13th.
As any other course on Data Science, students are expected to be familiar with the fundamentals of Machine Learning (see courses Machine Learning and Programming for Data Science), since in data science we apply those algorithms to solve problems of the real world, using case studies. If you are not familiar with it, consider enrol on those courses before, or study by yourself ahead, with the help our MOOCs (see section Lectures).

Let's summarise the course rules!
  • all communication shall be done through the Piazza platform (follow instructions on section Support);
  • questions already asked and answered will not be answered again;
  • only personal questions shall be send to my email. 
Enrolment on the different shifts:
  • all students are welcome to the course - ignore if the system says there is no room for you;
  • previous enrolments on labs will be ignored since they are per each student instead of teams;
  • students have to find a team of 4 in order to enrol in the labs, after the classes start;
  • the enrolment opening will be announced on the first lesson;
  • each team has to list their preferences for the first and second lab (any combination is acceptable);
  • teams will be enrolled in a first came first served policy. 
Final = 50% E + max(10% L + 40% P, 50% P), where:
  • E: exam (mandatory)
  • P: project (mandatory)
  • L: labs (project tasks) (optional)
Project oral validation when P-E>=3 - the project grade is replaced by the Oral examination grade
Minimum grades: Final >=9.5 and E>=8.0 and P>=9.0

Theoretical lessons:
  • students shall attend to two theoretical classes per week (one on Mondays and another on Wednesdays or Thursdays);
  • there is no constraint regarding the campus you attend, but usually there are less students in Tagus;
  • students shall watch the videos listed on section Lectures before each class - there will be a brief summary of the videos in the beginning of the class (around 30 minutes);
  • then the following hour will be used to explore different case studies, discussing each alternatives to address them;
  • the last 30 minutes will be used to solve exercises.
  • are optional,
  • shall be attended by teams of 4 students (if you don't have a team find one);
  • there are no constraints for the team composition beside the number of students - students from different campus and programs can mix in the same team
  • trabalhadores-estudantes officially recognised are allowed to work alone or in teams, but are strongly discouraged;
  • students shall attend two labs per week
    • one lab per week is used to support the project development;
    • the other lab is used for continuous evaluation of the project  - only teams choosing continuous evaluation are allowed to attend this labs;
    • the labs for evaluation are already announced in section Labs;
    • in the labs for evaluation, each team will attend the lab for 10 or 15 minutes, where they shall show their results for the project tasks already announced in section Labs;
  • students are allowed to enter the lab 10 minutes before their scheduled time;
  • the tasks to accomplish are tasks asked on the project, so students opting for the continuous evaluation are not asked to do any extra work.
Support hours:
  • any question relating to theoretical aspects or organisational issues shall be put in the support hours with me (Cláudia Antunes) or through the communication channel;
  • any question of project interpretation shall be put in the support hours with me (Cláudia Antunes) or through the communication channel;
  • any question relating development topics (programming environment and programming) may be put in any support hours and through the communication channel.
Good work!
See you on November!

Cláudia Antunes

Corpo Docente

Cláudia Antunes



André Patrício