MVE385/MSA520/MMA520, Project course in mathematical and statistical modelling, 2018/19

Latest news

Welcome to the course! The schedule for the course can be found in TimeEdit.

Teachers

Course coordinator: Alexei Heintz, heintz{at}chalmers.se

Teaching assistants in statistics: Felix Held, felix.held {at}chalmers.se

Course literature

Presentations at lectures and literature (mainly research papers) for individual projects.
Titles of the projects with areas of applications specified will come a couple of days before the course start.

English-Swedish mathematical dictionary

Program

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 3-4 people, meeting with your external partners and with the course coordinator as necessary.

Students will build working group of 3-4 people. Working groups will be assigned with projects from the available list by the course coordinator according to groups preferences and experiences.

Chalmers introduces learning of ethical problems in engineering within the 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:

Projects list:

ASTRA Zeneca: Particle shape simulation in pharmaceutical materials
ASTRA Zeneca: TDA and PCA classification of pharmaceutical powders
ASTRA Zeneca Hyperspectral image fusion_03
Equilab_Detecting_patterns_in_horse runs
Essity: Modelling free surface flows
Essity: Modelling and simulating superabsorbents
Fluicell: Cells positioning image analysis.
Fluicell: Cells movement and division image analysis.
Statistics for doctors 1: Statistics of shortened sick leave for patients with depression
Statistics for doctors 2: Statistics of treating patients with alcohol over consumption.
TETRA PACK: Optimal estimation and Kalman filtering for optimization of parameters.
Volvo Cars: Naturalistic driving scenarios for validation of autonomous vehicles
Jeppessen: Aircraft Maintenance Scheduling

Projects descriptions will be available for students registered at the course as Activity documents in PING PONG.

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.
1(45)
Thirsday
10-12
Lecture on ethics in engineering.
2(46)


Meetings with partners. Start of project work. Write project plan according to  instructions here
3(47)

Project work

Wednesday
November 21

Hand in project plan (preferably earlier)
4(48)


Project work
5(49)


Project work
6(50)
Thirsday December 13
10:00-13:00
Workshop on ethics for approximately 6-7 groups.
 It is compulsory to take part in one of scheduled workshops, alternatively write en essay on the topic instead.
7(51)
Tuesday December 18

Deadline for preliminary report. Instructions how to write a report are here.
 Feedback at the week 8.
8(2)


Project work
8(2)
January 8
10:00-12:00
Possible oral presentations of projects.
8(2)
January 10
9:00-12:00

13:00-15:00

Oral presentations of projects. Compulsory for members of presenting groups.

Workshop on ethics for 3 more groups. MVL14
 It is compulsory to take part in one of scheduled workshops or alternatively to write en essay on the topic instead.
9(3)
January 16
9:00-12:00

14:00-15:00

Oral presentations of projects. Compulsory for members of presenting groups.

Oral presentation for TetraPack group.  MVL14
9(3)
January 17

Deadline for handing in written report.





Course requirements

The learning goals of the course can be found in the course plan.
To pass the course you must

Examination

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.

Examination procedures

In Chalmers Student Portal you can read about when exams are given and what rules apply on exams at Chalmers. In addition to that, there is a schedule when exams are given for courses at University of Gothenburg.

Before the exam, it is important that you sign up for the examination. If you study at Chalmers, you can do this from the Chalmers Student Portal, and if you study at University of Gothenburg, you sign up via GU's Student Portal.

At the exam, you should be able to show valid identification.

After the exam has been graded, you can see your results in Ladok by logging on to your Student portal.

At the annual (regular) examination:
When it is practical, a separate review is arranged. The date of the review will be announced here on the course homepage. Anyone who can not participate in the review may thereafter retrieve and review their exam at the Mathematical Sciences Student office. Check that you have the right grades and score. Any complaints about the marking must be submitted in writing at the office, where there is a form to fill out.

At re-examination:
Exams are reviewed and retrieved at the Mathematical Sciences Student office. Check that you have the right grades and score. Any complaints about the marking must be submitted in writing at the office, where there is a form to fill out.

Old exams