Lecturer and instructor:
Bo Friis Nielsen (bfni@dtu.dk)
Jonas Bruun Hubrechts.
Instructors:
Troels Qvistgaard Ludwig,
Tobias Overgaard (not in the period 16/6-20/6).
Supplementary reading: Some other books I consult; copies of selected material available at DTU Inside
You do not necessarily have to study this wealth of material, indeed the course is experimental by nature, so ideally you should be able to solve exercises and problems by following the lectures and reading the slides. However, most students probably aim for more than that, particularly students who are already familiar with the basic concepts of probability and statistics. The course relies to a high degree on the Danish phrase ``Ansvar for egen læring'' (own responsibility of learning). In case you find the course too easy you are highly encouraged to dig deeper into the reading material and solve additional exercises from the text books.
The course is planned as requiring full day activity. You should expect that the workday can last until 5pm. It is an experimental course, where learning by doing is the main driver. The lectures will give background and motivation while the exercises should give you the possibility to understand the material in more depth and give you the ability to work actively with concepts in simulation.
Lectures will be held in Building 341 Auditorium 21
starting Wednesday 4/6, 9.00. Lectures will continue until Friday 13/6.
Computer exercises will be held in Building 358 Room 069, 070, 071, and 072.
Participation in the computer exercises is mandatory, as the most important part of the teaching happens here. From experience students who don't participate physically in the exercsies do not produce very good reports - as a general rule.
Howwever, we will not make a formal check of your presence so its up to your own responsibility to fulfill the requirement of presence.
You are expected to be prepared for the exercises from participation in the lectures, reading the material or watching the videos.
The exercises are carried out in groups of two students.
Groups named ex and numbered 1 through 196 are premade in DTU Learn.
Once you have found a student to do the exercises with you register yourselves in DTU Learn.
In special cases you can form a group of three students, e.g. if you are three students knowing each other and not knowing anybody else, or work alone if you are strong in the prerequisites and have special time constraints.
You need confirmation from a teacher if you want to form a group of three or work alone.
There will be session at 1 pm Wednesday June 4 in Room 071 in Building 358 for students who don't initially have somebody to work with.
Each student is required to be able to demonstrate individual contribution and understanding of all questions.
In particular it is not acceptable if students distribute the solution of questions to other groups.
When help is needed it is the group that requires help rather than the individual student.
The computer exercises can be found at the end of their associated slideshow.
The computer exercises must be documented in reports and handed in Monday 16/6, preferably Friday 13/6.
The report should document that the exercises have been solved.
It is important that the conclusions and lessons learned are added in text.
Students who have not worked with statistics/programming for some years typically experience challenges with keeping up with the pace in the first part of the course. For many, however, the course contribute to a much better understanding of inferential statistics and sharpen programming skills that most likely will be needed for most once graduating. Some exercises have advanced material and students with weaker prerequisites can in some cases be exempted from doing the advanced material. You need to get such permission from one of the teachers. We register the permissions which is needed when correcting the exercises.
For such students extension with the deadline for the handin of the exercises can be given.
Simulation project 1
From Monday 16/6 until Wednesday 18/6, students will work on a somewhat longer project, that is quite specific.
A report of this work must be handed in on Thursday 19/6. Team sizes can vary. However, teams of 4-5 students are considered most adequate. One straightforward way to form project groups is to merge two exercise groups.
Simulation project 2
From Thursday 19/6 until Thursday 26/6, students will work on a topic selected among a few possibilities. Students who have problems that can be well analysed by simulation are encouraged to work on such problems after a small clarification with me (Bo Friis Nielsen) or the TA's.
A report of this work must be handed in on Wednesday 26/6 together with the report for Project 1. There is a possibility for an extension. Team sizes can vary. However, teams of 4-5 students are considered most adequate. One straightforward way to form groups for the second project is to keep the group for project 1.
Any computer language implementing the most common probability and statistics functions (e.g. R, Matlab, Python) can be used. See e.g. R for Beginners by Emmanuel Paradis 76 pp.
Last change: 2/6 2025, by bfn
