Detailed Information

Course Form

There are no lectures or common exercises in this course. Instead, most of the work will be carried out individually by the students. There will be a group meeting each week where you can discuss things with the supervisors and your classmates. At some of these meetings, there may be "customers" who would like to hear about the progress of the project. A customer could be the owner of the data/project or a course supervisor playing the role of a customer. This project development model lets the students get aquainted with a potential future work environment. A short report of current work is to be prepared each week. Towards the end of the course the students are asked to prepare a poster for the MATLS conference.

The course is given over 13 weeks during the spring semester. It is open both for regular DTU students and for everyone else via Open University. DTU students should sign up using CampusNet. For information on how to apply via Open University, see this link.

Course Material

There is no mandatory material for this course.

Schedule for the Lectures

The following outline is a preliminary setup of meetings


Week Meeting
1 Project presentations and selection. Work out a time plan
2 Work out a list of Intended Learning Objectives (ILO). Individual meetings with customers
3 Group meeting
4 Group meeting
5 Group meeting
6 Group meeting
7 Group meeting. Individual meetings with customers. Hand in a mid-term draft of your project report
8 Group meeting
9 Group meeting
10 Group meeting
11 Group meeting
12 Hand in a draft of your project report. Individual meetings with customers
13 Project delivery (May 6th)

Examination

There will be an oral exam where each student is asked to present their poster and answer questions. Grades will be based on the quality of the work, as well as the quality of the presentation and discussion during the exam. The exam will take place on the 27th of May.

Supervisors

LHC: Line H. Clemmensen, Assitant Professor, DTU Data Analysis, lhc[at]imm.dtu.dk
KAS: Karl Sjöstrand, External Lecturer, DTU Data Analysis, Exini Diagnostics AB, kas[at]imm.dtu.dk