Programming for Data Science (2 º Sem 2020/2021)

All the classes are theoretical and practical. Lectures typically have a small presentation of theory, context of usage and techniques used. Lecturer also illustrate some practical cases. In this demonstration, the lecturer needs to use computer and adequate compilers/interpreters and IDE. Students may or may not follow this presentation in his own desktop. Then, there are several exercises where students are supported by the lecturer. Individual work is complemented with groupworks. Laboratory work may be individual or group work. Students also must perform a project in group.
Students performance evaluation will derive from laboratory work, submitted during classes (30%) the assigned team-works project presented during the semester (40%) and from a final individual exam (30%).