Checking date:
24/04/2025 14:03:22
Versión en español
Course: 2025/2026
Introduction to R Programming
(19151)
Master in Computational Social Science (Plan: 472 - Estudio: 375)
EPC
Coordinating teacher:
UCAR MARQUES, IÑAKI
Department assigned to the subject:
Statistics Department
Type:
Additional training
ECTS Credits:
3.0 ECTS
Course:
0º
Semester:
1º
Objectives
Acquire the minimum knowledge required to take the course in Data Programming (19138).
Learning Outcomes
Link to document
Description of contents: programme
The programming course introduces the student to the fundamental concepts of: - Data structures - Flow control - Functional programming
Learning activities and methodology
- Theoretical-practical classes - Guided classes - Final exam
Assessment System
% end-of-term-examination 100
% of continuous assessment (assigments, laboratory, practicals...) 0
- Final exam (100%) In the extraordinary call, the evaluation system will be as follows: 1) Exam: 100%
Basic Bibliography
Hadley Wickham. R for Data Science. O'Reilly. 2017
The course syllabus may change due academic events or other reasons.
