Probability and Statistics for Teachers, 7.5 ECTS
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As society becomes much more complex and the amount of information increases, the importance of knowledge in probability theory and statistics become more important, something which is shown in the schools new lesson plans. It can concern very different subjects such as the ability to understand diagrams, to evaluate ’’scientific conslusions’’ based on empiric research, and to see through newspaper headings about unlikely events. This course hints at improving this cunning which the student’s possess, and give the students support with the probability theories basics and statistic conclusion abilities. The course puts a lot of focus on things which are relevant for future teachers. Partial moments which are discusses include: graphic illustration of data, the basics within probability theory and the principals of statistic conclusion abilities.
Area of interests: Science and Mathematics
Science and mathematics help us understand how the world around us is connected – from the origin and structure of the universe, to the development and function of humanity and all other organisms on earth. Scientific knowledge makes it possible to critically examine the credibility of information in different areas of everyday life, society, and the media. As a scientist or mathematician, you will be attractive on a large job market that covers all parts of society and includes everything from pure technology companies to environment and healthcare, as well as research.
Subject
Mathematical Statistics
Mathematical statistics is the subject within applied mathematics that describes and analyses random events.
The foundation is the mathematical probability theory, which goes back to the 17th century, but has in its modern form developed mostly during the 20th century. Probability theory is also the foundation of statistical theory on how to draw conclusions from data with random features. The rise of computer technology has also significantly contributed to broadening the field of applications within mathematical statistics. Today is mathematical statistics one of the most powerful tools in applied mathematics.
Examples that apply mathematical statistics to a large extent are the insurance and finance sectors, biological and medical research (biostatistics) and industrial applications like telecommunications and quality control.
The department cooperates closely both in research and teaching with the pharmaceutical industry, medical institutions and banking and insurance companies. Depending on direction of studies, a student with an exam in mathematical statistics has a good chance to get employment in these sectors.
Mathematical statistics can be studied in elective courses, as a major in a Bachelor’s or Master’s degree or as a complementary subject. Courses cover both theory and applications in various areas. Mathematical statistics is included in the Bachelor’s programmes in Mathematics, Biomathematics and Mathematics and Economics and a major in the Master’s programmes in Mathematical statistics, Biostatistics, Finance mathematics and Finance and Actuarial science.