### 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. |

Matlab: individual written exam with grades A-F. Aid: Counts for 2/5 of the total grade.

Folder evaluation: Participation in mandatory lectures, excursions and process calculations. Project work with report and oral presentation in groups. Grades A-F. Counts 3/5 of the total grade. Both parts must be passed to pass the subject.

### 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.