Main

Working groups have got projects and are supposed to contact customers as soon as possible
and order a meeting with them in the next week. During and after the meeting with customers
a working plan must be produced according to the instructions given here.
The text of the working plan must be sent to Alexei before (better earlier) Friday, November 20.

The schedule for the course can be found via the link to webTimeEdit top of the page.
There will not be lectures at all scheduled times - see Programme below.
Instead, students will meet with external partners at convenient times,
and meet regularly with Alexei for intermediate reports and for supervision.

More course material will be available on PingPong. To access it, you must register for the course.

Course coordinator/examiner: Alexei Heintz, heintz@chalmers.se
Supervision of statistics-related pojects: Vera Lisovskaya, vera@chalmers.se

Presentations at lectures and literature (mainly research papers) for individual projects.

The main idea of this course is that you should practice the role as mathematics/statistics consultants for industry and reserach-related projects. The main part therefore consists of working on your projects, meeting with your external partners as necessary.

Projects for the course MVE 385 in Mathematical and statistical modeling ( will be updated during the first week)
Project descriptions are available for registered at the course as documents in PING PONG.

1. Data exploration by topology. Astra Zeneca.
2. Swelling of super adsorbents. Swedish Cellulose Association.
3. Microfluidic Biopen. Fluicell.
4. Surgery performance measurement. G Coder AB.
5. Simball2 second generation development. G Coder AB.
6. Surface from point cloud. Volvo CC.
7. Global traffic awareness. Volvo CC.
8. Water uptake. Free boundary problem. SuMo BIOMATERIALS.
9. Aviation weather impact. Jepessen Boeing.
10. Statistical project for doctors. Närhälsan Kungssten VC.
11. Find the pattern of traffic conflicts from Volvo CC.
12. Temperature_and_moisture_Cycling_in_Tablets. Astra Zeneca.
13. Pattern recognition in bread microscopy 3-D data. SP Food and Bioscience.

Weekly programme

Week	Time	Contents
1(45)	Tuesday, 8-10	Introduction to the course. Aim and purpose. Presentation of and introduction to projects.
1(45)	Thursday, 8-11	Final assignment of projects. Instructions on course elements.
2(46)		Meetings with partners. Start of project work. Write project plan according instructions here.
3(47)		Project work
3(47)	Friday 20 nov.	Hand in project plan (preferably earlier)
4(48)		Project work
4(48)
5(49)		Project work
6(50)		Project work
	Friday, December 11	Deadline for preliminary report. Instructions how to write a report are here. Feedback during week 7.
7(51)		Project work
8(2)	Wednesday, January 13, 8-12	Oral presentations of projects. Compulsory
8(2)	Friday, January 15 8-10	Oral presentations of projects. Compulsory
9(3)	Tuesday, January 19	Deadline for handing in written report and written "reflections on the project work" according to instructions here.

The list of projects will be available on ping-pong.
The projects should be conducted in groups of 3-4 students in contact with an external (industrial or academic) partner. The groups will meet with their partners (at the partner location) to get started with their projects, and will then be in contact with the partners as necessary during the work with the projects. Mathematical supervision will be provided by Alexei and Vera (in statistics part) at weekly meetings.
The students will form groups themselves, and each group will be given the opportunity to rank the projects in order of their preference. They will then be assigned one of the projects as their project for the course.
The partners for this year's course are: SCA Hygiene Products, Astra Zeneca, Volvo Car Corporation, Närhälsan Kungssten VC., Fluicell, Astra Zeneca, G CoderAB, SP Food and Bioscience.

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.
Write a reflection on "communication across interdisciplinary boundaries during the course" according to instructions.

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 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.

You can see your results in Ladok by logging on to the Student portal.
Check that you have the right grades.

For the course MVE385 Projektkurs i matematisk och statistisk modellering,
LP2the following students have been randomly selected to be student representatives:

MPENM bore@student.chalmers.se ALEXANDER BORE

MPENM hefelix@student.chalmers.se FELIX HELD

MPENM yurong@student.chalmers.se YURONG LI

MPENM lokrantz@student.chalmers.se ANNA LOKRANTZ

MPENM sabben@student.chalmers.se OLIVIA SÄBBEN