MEK1000 Mathematics 1000 Course description

Through the work in this course, the students will gain insight into areas of mathematics that are important to the modelling of technical and natural science systems and processes. The topics covered are included in engineering programmes across the world and are necessary in order to enable engineers to communicate professionally in an efficient and precise manner and participate in discussions in professional contexts later in the programme.

None.

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 use and solution of differential equations in the modelling of practical systems and performing simple analyses of such models
• explaining the concept of functions, the derivative, and the definite and indefinite integral
• explaining the relationship between linear equation systems and practical problems
• solving equations numerically using the bi-section method and Newton method.

Skills:

The student is capable of

• solving separable and linear differential equations with the help of anti-derivation
• solving homogeneous and nonhomogeneous second-order differential equations with constant coefficients
• calculating with complex figures and solving equations with complex solutions
• using basic arithmetic operations for matrices, such as multiplication, addition and inversion
• solving linear equation systems in reduced row echelon form and inversion
• calculating exact values for the derivative and the anti-derivative for certain elementary functions
• using the definite integral to calculate sizes as area and volume
• using derivation for, for example, optimisation and related rates

General competence:

The student is capable of

• transferring a practical problem from their own field into a mathematical form
• writing precise explanations and reasons for using procedures, and demonstrating the correct use of mathematical notation
• using mathematical methods and tools of relevance to the field
• using mathematics to communicate about engineering issues
• explaining how changes and changes per unit time can be measured, calculated, summed up and incorporated into equations

The teaching is organised as lectures, exercises and laboratory course,;partly individually, partly in groups and receive instruction;from the teacher.

The following coursework is compulsory and must be approved before the student can take the exam:

• Three of four individual written assignments.
• Each assignment required approximately 6-8 hour of work.

Individual written exam, 3.5 hours.

The exam result can be appealed.

In the event of a resit or rescheduled exam, oral examination may be used instead of a written exam. If oral exams are used for resit and rescheduled exams, the exam result cannot be appealed.

All printed and written aids.

A;handheld calculator that cannot be used for wireless communication or to perform symbolic calculations. If the calculator’s internal memory can store data, the memory must be deleted before the exam. Random checks may be carried out.

Grade scale A-F.

Language of instruction: Norwegian/English

Computed tomography (CT) provides great opportunities for accurate and detailed diagnosis, and has increased in scope in recent years. The specialisation course in CT focuses on protocol development, new trends in parameter selection, post-processing and image analysis. This course has been developed with a focus on new technology and in-depth study of innovative imaging methods.

Passed first and second year of the programme or equivalent. RAB1050 and RAB1060 are exempt from the progression requirement.