# 2021/2022

## Prerequisite/Recommended prerequisite for participation in the module

This module is based on knowledge gained in the module Linear Algebra.

## Content, progress and pedagogy of the module

The objective of the course is to introduce the student to concepts and ideas within statistics and how statistics can be applied to problems relevant to engineers in this education.

### Learning objectives

#### Knowledge

• Fundamental concepts in probability, including conditional probability and independence.
• Discrete and continuous random variables and relevant properties of these.
• Various examples of descriptive statistics, e.g. histograms and scatterplots.
• Statistical inference, including estimation, confidence intervals and hypothesis testing.
• Important statistical models, like linear regression (simple and multiple), analysis of variance, logistic regression and log-linear models (in particular contingency tables).

#### Skills

• Can, given specific data, specify a relevant statistical model and account for the assumptions and limitations of the chosen model.
• Must be able to use relevant software and programming for carrying out the statistical analysis of given data and be able to interpret the results of the analysis.

#### Competences

• Must be able to judge the applicability of statistics within own area.
• Is capable of performing a critical judgement of the results of a statistical analysis.
• Should be capable of communicating the results of a statistical analysis to people with no or little background within statistics.

### Type of instruction

The teaching is organized in accordance with the general form of teaching. Please see the programme cirruculum §17.

### Extent and expected workload

Since it is a 5 ECTS course module the expected workload is 150 hours for the student.

## Exam

### Exams

 Name of exam Introduction to Probability and Applied Statistics Type of exam Written or oral exam ECTS 5 Assessment 7-point grading scale Type of grading Internal examination Criteria of assessment The criteria of assessment are stated in the Examination Policies and Procedures

## Facts about the module

 Danish title Introduktion til sandsynlighedsregning og anvendt statistik Module code M-MOE-B2-3 Module type Course Duration 1 semester Semester Spring ECTS 5 Language of instruction English Empty-place Scheme Yes Location of the lecture Campus Copenhagen Responsible for the module Anders Paarup Nielsen

## Organisation

 Study Board Study Board of Production Department Department of Materials and Production Faculty Faculty of Engineering and Science