Learning outcome

After successfully completing the course, the candidate will have achieved the following learning outcomes defined in terms of knowledge, skills and general competence.

Knowledge

The candidate has:

• Basic knowledge of descriptive statistics, combinatorics, probability and statistical methods, and is able to design relevant problems and interpret results and graphics in an adequate manner
• Basic knowledge of electromagnetism, and is able to design relevant problems and interpret results in an adequate manner

Skills

The candidate can:

• Create simple graphics and perform simple statistical calculations without using a computer within the areas the candidate should have knowledge of
• Relate electromagnetic theory to engineering problems by performing relevant calculations and using arguments related to electrical charge, electric and magnetic fields and power, electrical potential, magnetic force and field and electromagnetic induction and waves
• Use the computer program Maple to generate illustrations, and carry out complex statistical calculations within the areas the candidate should have knowledge of
• Conduct polls and surveys that form the basis of good information management in terms of calculations and reasoning

General competence

The candidate has:

• Developed a precise use of language that facilitates communication with others about problems related to statistics and electromagnetism
• Developed an awareness that there are important ethical issues related to the collection, analysis, presentation and interpretation of data
• Developed awareness of the importance of mathematical formalism for solving problems using mathematical models

Course Description

Statistics – 5 credits
Descriptive statistics. Probability. Conditional probability. Overview of discrete and continuous random variables, expectation and variance. Special focus on binomial, hypergeometric, Poisson, normal and exponential distribution. Sum of random variables. Central limit theorem. Estimation and confidence intervals. Hypothesis testing and regression analysis. Risk and reliability.

Physics – 5 credits
Electric charge, force and field (Coulomb’s law). Gauss’s law. Electrical potential. Magnetism: force and field (Lorentz force, Biot-Savart law, Ampere’s law, Gauss’s law for magnetism). Electromagnet

Teaching and Learning Methods

Lectures, exercises and group work.

Motivation
The lectures will provide an overview of the course’s academic content (knowledge) and encourage students to work independently (skills), for instance, by reviewing examples and exploring possibilities with the use of computers.
The exercises require that students themselves are active (skills). Under supervision, working with exercises can lead to deeper understanding (knowledge) of the interaction between instrumental activities and theory.
Group work is also necessary in order to develop students’ communication skills concerning statistics and physics (general competence). In addition, group work can include challenging assignments that require creativity and innovation (knowledge).

Assessment Methods

Final individual written examination in Physics, weighted 50%, which will be assessed with a letter grade. Examination aids: writing/drawing materials and calculator.

Group work in statistics, which must be approved to grade the Statistics part.

Final individual written examination in statistics, weighted 50%; all written and printed examination aids are allowed, as well as a computer; assessed with a letter grade.

Both final examinations must be passed with a grade E or better in order to achieve a passing grade in the course.

Motivation
The final examinations will assess the extent to which the individual student has achieved the learning outcomes in terms of knowledge and skills in statistics and possibly physics. Group work as well as written reports, related to the subjects statistics and physics, will also assess the extent the student is able to communicate in writing and with others in a group.

Minor adjustments may occur during the academic year, subject to the decision of the Dean