Real-Time Systems
Module IN2060
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
Module version of WS 2011/2
There are historic module descriptions of this module. A module description is valid until replaced by a newer one.
Whether the module’s courses are offered during a specific semester is listed in the section Courses, Learning and Teaching Methods and Literature below.
| available module versions | ||
|---|---|---|
| SS 2022 | SS 2015 | WS 2011/2 |
Basic Information
IN2060 is a semester module in German language at Bachelor’s level and Master’s level which is offered in winter semester.
This Module is included in the following catalogues within the study programs in physics.
- Catalogue of non-physics elective courses
| Total workload | Contact hours | Credits (ECTS) |
|---|---|---|
| 180 h | 75 h | 6 CP |
Content, Learning Outcome and Preconditions
Content
The lecture series comprises special methods, solutions and problems pertaining to real-time systems. To do so, concrete examples where real-time systems are required are presented. The difference between real-time and non-real-time systems is highlighted and it is demonstrated why closed and open-loop control algorithms are fundamentally dependent on real-time systems with their special hard- and software properties. Modelling of real-time systems, concurrency, scheduling algorithms, special operating systems and programming paradigms, clocks, real-time communication and typical hardware for sensors and actuators are discussed in detail. The lecture series concludes with an introduction to fault-tolerant systems.
Learning Outcome
At the end of this module students are able to analyse the specific requirements of real-time systems. They are able to select from a variety of possible solutions based on relevant aspects, such as modeling concepts, scheduling algorithms, operating systems, programming languages, etc. They understand typical problems with cuncurrent programming and are familiar with different mechanisms to overcome these problems.
Preconditions
None
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
WS 2022/3
WS 2021/2
WS 2020/1
WS 2019/20
WS 2018/9
WS 2017/8
WS 2016/7
WS 2015/6
WS 2014/5
WS 2013/4
WS 2012/3
| Type | SWS | Title | Lecturer(s) | Dates | Links |
|---|---|---|---|---|---|
| VO | 3 | Real-Time Systems (IN2060) |
Thu, 16:00–19:00, MW 0001 |
eLearning documents |
|
| UE | 2 | Real-Time Systems, Exercise Session (IN2060) | Hashemi Farzaneh, M. Walter, F. |
Thu, 19:00–20:30, MW 0001 Thu, 19:00–20:30, MI HS3 Thu, 19:00–20:30, MW 0250 Thu, 19:00–20:30, MI HS2 Thu, 19:00–20:30, MW 1250 and singular or moved dates |
documents |
Learning and Teaching Methods
The module consists of a lecture, an exercise and tasks for self-study. The contents of the lecture are conveyed in the lecture and through presentations. Students are encouraged to deal with the content of the topics through small tasks set in the course of the lectures, as well as by solving exercise sheets. The solution to the exercises is discussed in the exercise.
Media
Slides, exercise sheets
Literature
- Hermann Kopetz: Real-Time Systems, 2011, 2nd Edition
- Giorgio C. Buttazzo: Hard Real-Time Computing Systems: Predictable Scheduling Algorithms and Applications, 2011, 3rd Edition
- Lee, Seshia: Introduction to Embedded Systems 2017, available online https://ptolemy.berkeley.edu/books/leeseshia/
- Giorgio C. Buttazzo: Hard Real-Time Computing Systems: Predictable Scheduling Algorithms and Applications, 2011, 3rd Edition
- Lee, Seshia: Introduction to Embedded Systems 2017, available online https://ptolemy.berkeley.edu/books/leeseshia/
Module Exam
Description of exams and course work
The examination is carried out in the form of a 90-minute written exam. This is intended to demonstrate that specific problems of real-time systems have been understood and can be solved through the use of suitable algorithms and simulations.
Exam Repetition
The exam may be repeated at the end of the semester.