EPN-V2

DATA3800 Introduction to Data Science with Scripting Course description

Course name in Norwegian
Introduction to Data Science with Scripting
Study programme
Bachelor in Applied Computer Technology
Bachelor's Degree Programme in Software Engineering
Bachelor's Degree Programme in Mathematical Modelling and Data Science
Bachelor's Degree Programme in Information Technology
Weight
10.0 ECTS
Year of study
2024/2025
Curriculum
FALL 2024
Schedule
Programme description
Course history

Introduction

Lectures and individual exercises. The exercises are based on the students’ own work, supervised by the lecturer and/or a student assistant. The students work in groups. The groups comprise maximum four students.

Recommended preliminary courses

Basic algebra, basic mathematical analysis and statistics are highly recommended, though a short overview on the fundamentals of these topics will be provided. The course will have a practical part using codes in python, Matlab or R. Acquaintance with these programming languages is not required, but some experience with a similar programming language is also recommended.

Learning outcomes

The following coursework is compulsory and must be approved before the student can sit the exam:

  • 3 group assignments
  • 3 multiple choice tests

Teaching and learning methods

Individual written exam, 3 hours

The exam result can be appealed.

Course requirements

None.

Assessment

Grade scale A-F.

Permitted exam materials and equipment

One internal examiner. External examiners are used regularly.

Grading scale

Students are required to have good programming skills, for example by having completed the course Programming.

Examiners

Emnet er ekvivalent (overlapper 10 studiepoeng) med: DATS2500, ITPE2500

Ved praktisering av 3-gangers regelen for oppmelding til eksamen teller forsøk brukt i ekvivalente emner.

Overlapping courses

Overlapps 90% with STKD6060