Course syllabus

Course PM

This page contains the program of the course. Other information, such as learning outcomes, teachers, literature and examination, are in a separate course PM.

Course examiner: Alexei Heintz, heintz{at}

Teaching assistant in statistics: Felix Held, felix.held {at}


The main idea of this course is that you should practice the role as mathematics/statistics consultants for industrial and research-related projects. The main part therefore consists of working on your projects within small groups of around 3 people, meeting with your external partners and with the course coordinator as necessary.

Working groups will be assigned with projects from the available list by the course coordinator according to groups preferences and experiences.

Chalmers introduced learning of ethical problems in engineering within this course. It will include 2-3 hours lectures on the topic and a workshop on this topic at the end of the course. Working groups will make short presentations about ethical questions in the relation with their work on their project and will take part in the follow up discussion with  other groups. Some printed material on the topic will be supplied by the course coordinator.

Main areas of applications and methods for the projects are:

  • Image processing for material science

  • Deterministic data analysis and parametrization

  • Stochastic data analysis and parametrization

  • Discrete and continuous optimization

  • Classical mechanics models, ODE 

  • Microfluidics for biological applications.

  • Simulation of transport processes in industry

  • Simulation of mass and heat transport in heterogeneous materials
    Projects descriptions will be available from November 4 in Canvas within the assignment "Ranking projects" as files associated with the course .

Master projects (!)

Some enterprises are interested in students who like to choose a Master project as a continuation of their work on the course projects:

Group in Active Safety and Autonomous driving at Volvo Cars Corporation.

Matssons i Anderstorp AB - a private enterprise interested in using image recognition techniques for automatization of storage of various goods.

Project for Volvo Cars at the department of electrical engineering - on a model for modeling litium batteries for electric cars.

Check suggestion for these  projects in the  assignment Ranking projects.

The schedule of the course is in TimeEdit.

Weekly program

Week Day Time Contest
1(45) Tuesday 10-12 Introduction to the course. Aim and purpose.
Presentation of the projects.
Lecture on ethics in engineering.
Tuesday to Friday

Build working groups of  around 3 people. 

Rank projects individually or as a group in the scale from

5 (less desired) to 1 (more desired).

Make several choices with top rankings. 

Put information about the groups or individuals programming abilities

and about advanced courses taken.

Supply rankings as Excel files  by e-mail to the course examiner.

Take an Excel template   here.

  Fill it with your personal or your groups data

and rankings and send by email to the course examiner.

1(45) Thursday



Help with organizing working groups

Lecture on ethics in engineering.

Friday Assigning projects to working groups.

Meetings with partners. Start of project work.

Write a project plan according to instructions here .

3(47) Project work
November 20
Hand in project plan (preferably earlier)
4(48) Project work
5(49) Project work
6(50) Thursday December 12 10:00-13:00

Workshop on ethics for approximately 6-7 groups.

Each group prepares a presentation in 15-20 minutes

about possible ethic problems related to the enterprise they work for or

about other ethic problems in engineering of general interest.

Use ideas and reasoning from the book:

  Ethics, Technology, and Engineering : An Introduction,

by Poel and Royakkers.

 It is compulsory to take part in one of scheduled workshops,

alternatively to write en essay on the topic instead.

7(51) Tuesday December 17

Deadline for preliminary report. Instructions how to write a report are here.
 Feedback at the week 8.

8(2) Project work
8(2) Tuesday January 7 10:00-12:00

Oral presentations of projects.

VOLVO CARS Lithium batteries

8(2) Thursday January 9

Presentations 9:00-12:00





Workshop on ethics 13:00-16:00

Presentations of projects for groups:
SMARTR: Sjöräddnings optimization (9:00)

ASTRA: Deep learning spectra           

YouPic: Customer satisfaction prediction

Jeppesen - Boeing group 2 (Hermanssson&C)  

TETRA PAK: Paper board simulation (11:30)

Workshop on ethics for the rest of groups.
 It is compulsory to take part in one of scheduled workshops

or alternatively to write en essay on the topic instead.

9(3) Monday January 13


Presentations of projects at Volvo Cars 

for 5 groups on Traffic scenarios and Extreme events

9(3) Tuesday January 14 9:00-12:00

Presentations of projects for groups:

SMARTR: Neurotransmitter time series

TETRA PAK: Viscoplastic flow

Aerosol deep learning project     


9(3) January 15 11:00-12:00

Presentation of  one project at Volvo Cars,  11:00


9(3) Thursday January16 9:00-12:00

Presentations of projects for groups:

Essity: Statistics of fibre materials geometry.

Essity: Simulation of fibre structure.

Jeppesen - Boeing group 1

Fluicell: counting cells project .

ASTRA: moisture transport in and between tablets.

ASTRA: Modeling of mixing tablets pouring from a container.

9(3) Friday January 17 Deadline for handing in written report.

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Course requirements

To pass the course you must

  • Hand in a project plan for your project according to instructions.
  • Hand in a preliminary report according to instructions for feedback
  • Present your project results in an oral presentation (about 20 min)
  • Report your project in a scientific report according to instructions.
  • Take part in the presentation and discussion at the workshop on ethical problems in engineering. Alternatively students absent in the city at the time of the workshop can write an individual essay on the topic.


The course is passed when all course requirements are met (see above).
Grades will be given based mainly on the final project report and on the feedback from the industrial partners,
but oral presentations, participation in the workshop on ethics in engineering and work during the project will also be weighed in.
The report should be a full high-quality report written in English according to instructions.


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Course summary:

Date Details Due