Real-Time Systems

Module IN2060

This Module is offered by TUM Department of Informatics.

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)	Knoll, A. Lenz, A.	Thu, 16:00–19:00, Interims II 003	eLearning documents
UE	2	Real-Time Systems, Exercise Session (IN2060)	Lenz, A. Walter, F. Responsible/Coordination: Knoll, A.	Thu, 19:00–20:30, Interims II 003	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/

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.

Current exam dates

Currently TUMonline lists the following exam dates. In addition to the general information above please refer to the current information given during the course.

Title
Time	Location	Info	Registration
Real-Time Systems
	102