Høst 2024

END-3800 Analytical Computations - 7.5 stp

The course is administrated by

Institutt for datateknologi og beregningsorienterte ingeniørfag

Type of course

The course can be taken as a single subject. For students at the Master's Degree Programme - Engineering Design.

Students outside the Master's Degree Programme - Engineering Design will need to be approved by the head of study of the Master's Degree Programme - Engineering Design.

Course overlap

SMN6201 Analytical Computations 7.5 ects

Course contents

The course covers classical topics devoted to analytic functions, in addition to the understanding on how 2D elasticity theory can be treated by using complex Analysis. In addition one learns how to solve 2D thermal and fluid flow problems by using analytic functions.

Admission requirements

A relevant undergraduate Bachelor degree in mechanics, materials, structural, modelling or equivalent.

In addition, the following requirements must be met:

- minimum 25 credits in mathematics (equivalent to Mathematical Methods 1, 2 og 3), 5 credits in statistics and 7,5 ects i physics on a higher level is required.

Application code: 9371

Objective of the course

After completing the course, the student should have obtained the following learning outcome:

the students will have some knowledge within the academic field of Analytical computations, and some of their applications in physics and engineering.

The students will be able to formulate and analyze the problems in terms of Complex function and integrals.

Language of instruction

English

Teaching methods

All lectures are pre-recorded on video, and students will be able to follow them via their computer (or laptop /smartphone if you use my Youtube channel).

It is recommended that the students start watching video lectures at 8.15. Those who like, may also meet in the classroom at. 09.15. (to be announced in Canvas)

Here, the teacher will answer questions from the students concerning the topics considered the previous day. Afterwards, the students continue watching video lectures, assisted by the teacher. Normally, students work with this until noon. After lunch, i.e. at. 1 PM, they start with today's exercise and work with this until 4 PM, assisted by the teacher.

All information concerning the course, videos, lecture notes, exercises with solutions, project etc. can be found in Canvas when the course starts.