Course in Applied Statistics in Engineering

General

2 locations available

Program Description

In this course, you will learn how statistics can enhance the thrill of discovery, increase your learning, and challenge your assumptions.

You will see how statistics can facilitate the creation of new knowledge, how you can use statistics to understand the results and make decisions and predictions based on data.

Course information

  • 2.5 credits
  • Start Date: 2020-11-09 - 2020-12-06 (part-time 33%)
  • Education ordinance: Second cycle
  • Course code: OAH305
  • Main area: Environmental Engineering

About this course

The purpose of the course is to increase your knowledge in the field of applied statistics. The course will illustrate how to reach statistically justified conclusions based on common statistical methods, such as statistical inference, analysis of variance, correlation, and regression.

The course will provide opportunities to become familiar with the concepts of understanding statistics and challenging assumptions. During the course, we will discuss the role of statistics in engineering and science, statistical thinking, and management of large data sets.

What you will learn

  • You will learn how to explain various specific situations where statistical inference may commonly occur and how to implement and interpret confidence intervals, significance tests, and ANOVA.
  • We will also discuss, perform, and interpret correlations and simple linear regressions.

Entry requirements

  • 120 credits of which 90 credits engineering or natural science and 7,5 credits mathematics.
  • In addition English course A/English course 6 is required.

You can also apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies, etc.

Course title in Swedish

Tillämpad statistik för ingenjörer

Application information

After submitting your electronic application, the next step is to submit documentation to demonstrate your eligibility for the course you have applied for. In order to document your eligibility, you must provide your high school diploma and university transcript and proof of your English language proficiency.

Entry requirements

To meet the entry requirements for this course you need to have previous academic qualifications (university studies). You will find the specific entry requirements above.

No academic qualifications?

If you do not have the formal academic qualifications needed for a specific course, you can apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etc. This is also known as a validation of prior learning.

Recognition of prior learning means the mapping out an assessment of an individual's competence and qualifications, regardless of how, where, or when they were acquired – in the formal education system or in some other way in Sweden or abroad, just recently or a long time ago.

If you think your knowledge and competences will qualify you for this course, you will need to upload the following with your application:

  • CV with a description of your educational and professional background. Your CV must describe your knowledge and competences in relation to the entry requirements.
  • If you refer to work experience, you need to upload an employer certificate.

If we need more information, we will contact you.

FutureE

The courses are part of the FutureE project where MDH offers online courses in the areas of AI, Environmental and Energy Engineering, Software and Computer Systems Engineering.

Last updated Oct 2020

About the School

At Mälardalen University people meet who want to develop themselves and the future. Our 16700 students read courses and study programs in Business, Health, Engineering, and Education. We conduct resea ... Read More

At Mälardalen University people meet who want to develop themselves and the future. Our 16700 students read courses and study programs in Business, Health, Engineering, and Education. We conduct research within all areas of education and have internationally outstanding research in future energy and embedded systems. Our close cooperation with the private and public sectors enables us at MDH to help people feel better and the earth to last longer. Mälardalen University is located on both sides of Lake Mälaren with campuses in Eskilstuna and Västerås. Read less
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