Learning outcome
Knowledge:
- Have a basic understanding of Matlab as an engineering tool.
- Be familiar with the interface and predefined functions in Mathlab
- Recognize the symbols of the most common unit operations and read the diagram of a chemical process.
- Understand the basic principles for the conservation of mass and energy.
Skills:
- Be able to make programs in Mathlab with use of logical functions and control structures.
- Be able to make routines for reading and writing data to file, plotting of data, both in 2D and 3D.
- Be able to make mass balances and analyze a process based on a flow sheet diagram
General competences:
- Have a foundation for better understanding of subjects as Mathematics 1 and Physics
- Master problem solving and be able to apply flow sheets and pseudo code in development and documentation of algorithms.
- Have a fundamental understanding about how chemical processes are applied in industrial scale.
- Have some insights in what opportunities computational mathematics may give.
- Project part: To be able to plan and solve a project in cooperation with fellow students.
- Perform a fundamental litterature search and utilize library databases.
- Be able to present a project both as a written report and an oral presentation.
Contents
Required prerequisite knowledge
Exam
Weight | Duration | Marks | Aid | |
---|---|---|---|---|
Individual written exam - Matlab | 2/5 | 3 hours | A - F | Basic calculator specified in general exam regulations. |
Folder evaluation | 3/5 | A - F | All. |
Folder evaluation: Participation in mandatory lectures, excursions and process calculations. Project work with report and oral presentation in groups.
Both parts must be passed to pass the subject.
Candidates with a non-passing folder evaluation may re-take the tests next time the course has regular teaching.
Coursework requirements
The student may take written exam when mandatory assignment in Matlab is approved.
Participation in mandatory lectures, excursions and oral presentation of the project work.
Subject teacher(s)
- Course coordinator
- Kåre Bredeli Jørgensen
- Course teacher
- Marianne Lorentzen, Krista Michelle Kaster, Magne Olav Sydnes, Malcolm Andrew Kelland, Tom Ryen, Roald Kommedal, Mohamad Osman, Torleiv Bilstad
- Head of Department
- Gro Johnsen
Method of work
2 hrs lectures pr. week in chemistry and engineering subjects. The first lectures are mandatory.
3 hrs lectures pr. week the first 6 weeks: Matlab
3 hrs lectures pr. week the first 6 weeks. Matlab mandatory excercises.
The rest of the semester contains projectwork with 4-5 students pr. group. Calculation exercises in process engineering.
Overlapping courses
Course | Reduction (SP) |
---|---|
Matlab for Engineers (BID260_1) | 5 |
Introductory Course for Engineers - Petroleum (ING130_1) | 4 |
Introductory course for engineers - Computer science and electrical engineering (ING100_1) | 4 |
Engineering Course introduction - Construction (ING110_1) | 4 |
Introduction to Mechanical Engineering (ING120_1) | 4 |
Open to
Course assessment
Literature
MATLAB for Engineers, Holly Moore, Pearson.
Information about the course material for the chemistry and project part will be given on Canvas in the beginning of the semester. Mainly lecture notes.