FORK 1002 Preparatory Course in Statistics

FORK 1002 Preparatory Course in Statistics

Course code: 
FORK 1002
Department: 
Economics
Credits: 
0
Course coordinator: 
David Kreiberg
Course name in Norwegian: 
Preparatory Course in Statistics
Product category: 
Master
Portfolio: 
Master - Preparatory course
Semester: 
2024 Autumn
Active status: 
Active
Level of study: 
Master
Teaching language: 
English
Course type: 
One semester
Introduction

The main objective of the course is to prepare students for more advanced topics in statistics and data science. The course provides students the possibility to refresh and update their knowledge about statistics. The course additionally introduces students to simple mathematical notation applied in statistics and data science courses.

Learning outcomes - Knowledge

Students will obtain knowledge about important statistical concepts, which in turn will allow students to take on more advanced topics in probability theory and statistical modeling.

Learning outcomes - Skills

Attending the preparation course in statistics, students will acquire necessary skills for solving simple mathematical and statistical problems.

General Competence

Students will understand important statistical concepts and be able solve simple statistics problem.

Course content
  • Mathematical primer
  • Data sequences
  • Descriptive statistics
  • Probability models
  • Estimation
  • Testing hypotheses
Teaching and learning activities

The course consists of 12 hours of lectures and 8 hours with supervised training.

Software

Excel

Software tools
Software defined under the section "Teaching and learning activities".
Qualifications

All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have specific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.

Disclaimer

Deviations in teaching and exams may occur if external conditions or unforeseen events call for this.

Type of Assessment: 
None
Total weight: 
0
Sum workload: 
0

Text for 0 credits