Ficha

Versión en español

Course: 2025/2026

Basic statistics

(19152)

Master in Computational Social Science (Plan: 472 - Estudio: 375)

EPC

Coordinating teacher: GUERRERO LOZANO, VANESA

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 Statistics and Data Science I (19140).

Learning Outcomes

Link to document

Description of contents: programme

The statistics course introduces the student to the fundamental concepts of: - Descriptive statistics - Probability theory - Random variables - Fundamentals of statistical inference

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

A. Agresti. Statistical methods for the social sciences. Pearson Education. 2018
J. Utts, R. Heckard. Mind on Statistics. Cengage. 2022

The course syllabus may change due academic events or other reasons.