Programplaner og emneplaner - Student
EMFE1000 Mathematics 1000 Course description
- Course name in Norwegian
- Matematikk 1000
- Study programme
-
Bachelor's Degree Programme in Energy and Environment in buildings
- Weight
- 10.0 ECTS
- Year of study
- 2020/2021
- Programme description
- Course history
-
Introduction
The course will give the students insight into areas of mathematics that are important when modelling technical and natural science systems and processes. The subjects covered are included in engineering programmes the world over. The subjects are necessary in order to enable engineers to communicate professionally in an efficient and precise manner and to participate in professional discussions. Through the coursework, the students will gain practice in the use of mathematical software, which will enable them to carry out calculations in work situations.
Required preliminary courses
No requirements over and above the admission requirements.
Learning outcomes
After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and general competence:
Knowledge
The student is capable of
- explaining the derivative as instantaneous change
- using the definition of the derivative as a point of departure and explaining how to compute an approximate numerical value of the derivative
- calculating exact values of derivatives using analytical methods
- using the derivative to solve optimisation problems
- explaining indefinite integrals as antiderivatives
- using numerical and analytical methods to calculate definite integrals
- explaining how the definite integral can be used to calculate for example areas, volumes, area moments, charges and other variables
- explaining analytical and numerical methods for solving ordinary differential equations
- solving systems of differential equations
- calculating with complex numbers
- calculating with vectors, matrices and determinants
- transforming augmented matrices for systems of linear equations to reduced row echelon form
- explaining conditions for calculating the inverse of a matrix
- explaining the number of solutions in a linear system of equations
- describing linear transformations using matrices
- using computer tools to solve problems in linear algebra
- solving equations using by using numeric methods
Skills
The student is capable of
- using the derivative to model and analyse dynamic systems
- discussing how the idea behind the definition of the definite integral can be used to set up integrals for calculating variables
- discussing the ideas behind some analytical and numerical methods used to solve differential equations and formulating and solving differential equations that address practical problems in his/her own field
- discussing methods of solving linear systems of equations using matrix calculations and numerical methods of solving equations, and setting up and solving equations that adresses practical problems in his/her own field
General competance
The student is capable of
- assessing the results of mathematical calculations
- explaing and implementing basic numerical algorithms by means of assignment, for loops, if tests, while loops etc.
- writing precise explanations and reasons for using procedures, and demonstrating the correct use of mathematical notations
- assessing his/her own academic work and that of other students, and formulating written and oral assessments of these works in an academically correct and precise manner
- translating a practical problem from his/her own field into mathematical form, so that it can be solved analytically or numerically
- using mathematical methods and tools relevant to his/her field
- using mathematics to communicate about engineering issues
Teaching and learning methods
The teaching is organised as scheduled work sessions. During the work sessions, the students practise using the material with which they are presented. Exercises include group discussions, individual practice in solving assignments, formulating and solving problems and assessing one's own and other's answers.
The students shall learn how to assess their own and other's academic work and to formulate assessments of them in such a way that the assessment can serve as advice on further studies. These practical exercises will take place in the scheduled part of the work sessions. Students will therefore carry out weekly assessments of exercises set for the week. Information about how the weekly assessment will take place will be given in the lectures.
The students are required to complete exercises between work sessions. The proposed exercises will be directly linked to the course goals. Self-assessment of answers will give students insight into whether they have achieved the goals.
Course requirements
There are no mandatory coursework requirements in this course.
Assessment
Individual written exam, 3 hours
The result of the exam can be appealed.
Permitted exam materials and equipment
All printed and written aids. Calculator. MATLAB if feasible.
Grading scale
A grade scale with grades from A to E for pass (with A being the highest grade and E being the lowest pass grade) and F for fail is used for the final assessment.
Examiners
One internal examiner. External examiners are used regularly.
Overlapping courses
The course is equivalent (overlap of 10 credits) to: TRFE1000, BYFE1000, ELFE1000, DAFE1000, KJFE1000, MAFE1000, MEK1000, FO010A and FO010D.
Under the rule that students may register for an exam three times, attempts in equivalent courses also count.