Course format
The course revisits concepts from mathematics, mathematical statistics, and control systems. It provides an opportunity to train your programming skills in a hands-on manner, and we encourage you to collaborate to get to know each other, and share experiences.
Structure
The course is divided into four parts:
- Control
- Engineering ethics
- Mathematics
- Mathematical statistics
Each part is led by a teacher and possibly assisted by PhD students and other teaching assistants, as per the personnel page. The content of each part will be found on the modules page. As you will find out, some activities have mandatory presence and some require preparation.
Schedule
The syllabus page lists all activities. Their timing and location are provided in the central course schedule Links to an external site.. (Should we need to adjust the schedule, we will communicate so through Canvas announcements.)
Control
The control part consists of five lectures and three mandatory laboratory exercises.
- Lecture There will be one lecture of 2 x 45 min, focusing on revisiting control systems theory, often with a focus on concepts and practical application. There are lecture slides for each lecture, that will be made available on the Canvas page of the module. To facilitate deeper learning, reading references will also be provided. We use free literature, listed on the course material page.
- Labs There will be three mandatory laboratory exercises, that you need to complete to pass the course. They will all be based on the same cyber-physical system. See the Lab 0 - introduction to the lab page for an introduction. The lab exercises are open-ended exploratory mini-projects, and we encourage collaboration. However, you will each need to be able to present your independent solutions to the lab assignments.
Additional practical aspects are covered below:
- Communication We will keep in touch throughout the course. See the communication page for details on how.
- Examination To pass the control systems portion of the course (possible outcomes are pass and fail), you will need to complete and demonstrate the three laboratory assignments, as described above. (There is no written exam.)
The personnel from the Department of Automatic Control Links to an external site. involved in teaching the course, and their roles in doing so, are enlisted here.
Engineering ethics
There is one mandatory lecture and one subsequent mandatory seminar on engineering ethics, where a written and peer-reviewed report is subject to a panel debate. See the linked pages for further information.
Mathematics
See the pages under the corresponding module for further information.
Mathematical statistics
The module on mathematical statistics consists of three lectures and one mandatory computer exercise. The two first lectures may be found on the corresponding pages here, together with the recommended reading instructions, whereas we will in the third lecture summarize the insights gained from the computer exercise, as well as elaborate on material you want to discuss further.
Prior to the computer exercise, you are required to answer the preparatory questions in the online system Mozquizto, please see the page for the exercise for details.