Data Science in R

2024/2025

Recommended prerequisite for participation in the module

Participants must have a working knowledge of elementary statistical methods such as regression models and analysis of variance at the level taught e.g. in the “applied statistics” course described at http://asta.math.aau.dk/.

Content, progress and pedagogy of the module

Learning objectives

Knowledge

  • Basic concepts in data science and statistics such as e.g. regression models, classification models and cluster analysis
  • Descriptive statistics and summaries of data including data visualization
  • Best practice in data science -- in particular reproducible analyses

Skills

  • Is able to apply the statistical software R for do descriptive statistics and estimate parameters in statistical models

Competences

  • Is able to evaluate the applicability, including strengths and weaknesses of different data science models
  • Is able to criticise a statistical analysis and the results hereof
  • Is able to communicate the results of a statistical analysis to persons without prior statistical knowledge

Type of instruction

A combination of instructive videos, computer practicals and lectures

Extent and expected workload

The course gives 5 ECTS credits which means that the workload of the course is 150 hours.

The course consists of 12 half day (4 hours) sessions. These will typically be organized to run intensively in three blocks each consisting of two full days with an appropriate amount of time between blocks. Prior to the first block and between the blocks there will be tasks for participants to work on, either independently or in smaller groups. After the last block, there will be time to work on a major exercise/project to be handed in.

Exam

Exams

Name of examData Science in R
Type of exam
Oral exam based on a project
ECTS5
Permitted aidsDer henvises til den pågældende semesterbeskrivelse/modulbeskrivelse
AssessmentPassed/Not Passed
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleDatavidenskab i R
Module code23MATSMDATAR
Module typeCourse
CategorySeparate module
Duration1 semester
SemesterAutumn
ECTS5
Language of instructionDanish and English
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Study BoardStudy Board of Mathematical Sciences
DepartmentDepartment of Mathematical Sciences
FacultyThe Faculty of Engineering and Science