Master program

Master Functional Safety Engineering

Learning objectives:

The student is able to:

• understand the fundamentals of functional safety and reliability of computer systems
  • basic terms and characteristic values
  • basic concepts
  • relevant standards
• learn the methods that serve to increase the reliability of computer systems
  • redundancy concepts
  • error handling
  • error tolerance
• learn s.th. about the methods to analyze the functional safety and reliability of computer systems
  • qualitative methods
  • reliability calculation
  • calculation of safety parameters

Learning results with regard to the objectives of the course of study:

• Gaining a deeper knowledge about the specific electrical fundamentals
• Acquiring enhanced and applied subject-specific basics
• Identifying and classifying complex electro-technical and interdisciplinary tasks
• Being confident in the ability to apply and evaluate analytical methods
• Being able to create and evaluate solving methods independently
• Gaining important and profound experience in the area of practical technical skills and engineering activities
• Working and researching in national and international contexts
   

Literature:

• Lecture notes (script)/slides are going to be handed out at the beginning of the lecture.
• Börcsök J., Electronic Safety Systems, Hüthig 2004
• Börcsök J., Functional Safety, Hüthig, 2006
• More reference literature is going to be recommended in the course.

Learning content:

• This lecture deals with the basic principles of the reliability and functional safety of computer systems and with the corresponding methods to analyze and calculate safety-related computer systems.

Master Functional Safety Engineering

Learning objectives:

The student is able to:

• model, implement and analyze processes,
• test, create and evaluate open and closed control algorithms in models and programs,
• verify and validate software modules,
• document and evaluate results critically.

Learning results with regard to the objectives of the course of study:
Gaining deeper insight into the mathematical and natural science areas
Gaining a deeper knowledge about the specific electrical fundamentals
Acquiring enhanced and applied subject-specific basics
Identifying and classifying complex electro-technical and inter-disciplinary tasks
Being confident in the ability to use and evaluate analytical methods
Being able to create and evaluate solving methods independently
Familiarizing oneself with new areas of knowledge, running searches and assessing the results
Gaining important and profound experience in the area of practical technical skills and engineering activities
Working and researching in national and international contexts

Learning content:

• Structured design of digital control algorithms
• Modeling and analyzing industrial processes
• Methods for the verification and validation of modules
• Transposing time-continuous processes and procedures into digital methods that are process computer-supported

Learning objectives:

Learning outcomes, competencies, qualification goals: The student is able to:
- understand the basic features of functional safety
- assess the significance of functional safety for biomedical applications
- use the knowledge about the valid norms and standards of biomedical engineering name sample applications for functional safety in the biomedical engineering

Learning results with regard to the objectives of the course of study:
- Gaining deeper insight into the mathematical and natural science areas
- Gaining a deeper knowledge about the specific electrical fundamentals
- Acquiring enhanced and applied subject-specific basics
- Identifying and classifying complex electro-technical and interdisciplinary tasks
- Being confident in the ability to apply and evaluate analytical methods
- Being able to create and evaluate solving methods independently
- Familiarizing oneself with new areas of knowledge, running searches and assessing the results
- Gaining important and profound experience in the area of practical technical skills and engineering activities
- Working and researching in national and international contexts

Learning content:

This lecture deals with the fundamentals of reliability and functional safety of biomedical systems and the corresponding methods for an analysis and calculation of safety-related biomedical systems.

Period

SS24

Teaching form

Credits

Study program

FUSE, Computer Science

Learning outcomes, competencies (qualification goals): Students have the ability to theoretically model and design complex electronic systems for safety-critical applications in motor vehicles and to calculate them using common mathematical methods. Furthermore, the lecture provides an understanding of the basic methods of statistics and their application.
Students learn the essential procedures for determining complex mathematical and statistical problems.
Learning outcomes in relation to the compulsory elective module: After completing the lecture, students have knowledge of the mathematical considerations of complex electronic systems in motor vehicles. They are able to independently solve basic problems in the field of statistics and safety engineering.
 
  Learning outcomes in relation to the course objectives:
- Understanding and applying mathematical process models to evaluate safety parameters for vehicle technology.
- Independently develop and evaluate solution methods based on ISO 26262
- Acquire in-depth knowledge of the mathematical concepts for development methodology according to ISO 26262
- Acquire and apply in-depth knowledge of the planning of the required verification and validation activities according to ISO 26262.
- Acquire in-depth knowledge of special estimation methods for their application in the field of functional safety and reliability in the automotive environment based on ISO 26262
- Acquire in-depth knowledge of the determination of safety integrity ASIL according to ISO 26262

Learning content:

Introduction to safety technology
Introduction to electronics in motor vehicles
Safety-relevant electronic systems in motor vehicles
Mathematical development methods for safety-relevant systems
Fundamentals of safety, Risk and hazards
Reliability and availability
Faults and fault tolerance
Mathematical process models
System development in various industrial sectors
System development in the automotive sector
System development in the aviation sector
System development in process automation
Maturity models
Mathematical concepts for development methodology
Requirements for development methodology
Safety integrity
Automotive Safety Integrity Level (ASIL)

Learning objectives:

The learner can
- derive and apply mathematical procedures and methods according to international standards
- explain and assess the functionality of safety-related systems
- derive, interpret and analyze different relevant safety parameters
- model and analyze different safety architectures
- derive, design and apply different methodologies and concepts to determine safety parameters and analyze them in accordance with international standards

Literature:

- A. Papoulis: Probability, random variables, and stochastic processes, McGraw Hill, 1984
- S. Lipschutz: Wahrscheinlichkeitsrechnung
- Theorie und Anwendung, McGraw Hill, 1976
- M. Fisz: Wahrscheinlichkeitsrechnung und mathematische Statistik, VEB Deutscher Verlag der Wissenschaften, 1989
- F. Jondral, A. Wiesler, Wahrscheinlichkeitsrechnung und stochastische Prozesse, Teubner 2002
- Börcsök, Josef, Functional Safety - Basic Principles of Safety-related Systems Hüthig-Verlag Heidelberg, 2007
- Börcsök, Josef, Electronic Safety Systems - Hardware Concepts, Models and Calculations, Hüthig-Verlag Heidelberg, 2004
- Martin Hillenbrand, Funktionale Sicherheit nach ISO 26262 in der Konzeptphase der Entwicklung von Elektrik / Elektronik Architekturen von Fahrzeugen, Karlsruhe Institute of Technology (KIT)

Period

SS 24

Teaching form

4 SWS

Credits

Study program

Computer Science

FUSE (Functional Safety Engineering)

Period

SS 24

Teaching form

2 SWS

Credits

Study program

Computer Science

FUSE (Functional Safety Engineering)

Period

SS 24

Teaching form

4 SWS

Credits

Study program

FUSE (Functional Safety Engineering)

Learning objectives: 

Learning outcomes, competencies (qualification objectives):

Students are able to examine the different safety architectures with the help of tool-supported analyses. Students have become familiar with the basic approach regarding the  development of security structures in vehicles according to the state of the art.
Learning outcomes relating to the compulsory elective module:
- Acquisition of in-depth knowledge of ISO 26262 for the automotive sector
- Use of different analysis tools
- Acquisition of extended and applied subject-specific fundamentals of safety engineering
- Basic knowledge of complex electrotechnical safety architectures in automotive engineering
- Evaluation of analytical safety architectures
- Independent development and assessment of solution methods

Learning outcomes in relation to the course objectives:
- Safe application and modeling of safety-related architectures to determine ASIL classifications.
- Acquisition of in-depth knowledge of safety-related electronic architectures in motor vehicles.
- Acquisition of in-depth knowledge to determine reliability parameters of different safety-related architectures in the motor vehicle environment.
- Acquisition of in-depth knowledge of special modeling methods for hardware and software architectures in vehicles.
- Independent development and evaluation of solution methods in the field of automotive engineering.
- Acquisition of in-depth knowledge of diagnostic, model and test architectures according to ISO 26262 in automotive safety systems.

Learning content:

Course content Fundamentals of safety engineering according to ISO 26262
Model-based fault detection methods
Use of fault trees FTA
Modeling of de- and inductive analysis methods
Tool-supported calculation of safety-related architectures with the "Fault Tree plus" tool
Modeling of an FMEDA
Tool-supported analyses
Investigation of different safety architectures in the automotive sector

Period

SS 24

Teaching form

4 SWS

Credits

Study program

Pool FB16

FUSE (Functional Safety Engineering)

Interested students please send an email to Prof. Krini

Learning objectives:

Intended learning outcomes

Students have become familiar with the basic approach to the development of safety structures in vehicles according to the state of the art.
Students are now able to understand the different safety architectures based on functional safety.
Learning outcomes related to the compulsory elective module:
- Acquisition of in-depth knowledge of ISO 26262 for the automotive sector
- Acquisition of extended and applied subject-specific fundamentals of safety engineering
- Basic knowledge of complex electrotechnical safety architectures in automotive engineering
- Confident evaluation of analytical safety architectures
- Independent development and evaluation of solution methods

Learning outcomes in relation to the course objectives:
- Acquire knowledge of the ISO 26262 standard
- Safely apply and evaluate safety-related concepts to determine ASIL ratings.
- Acquire in-depth knowledge of safety-related electronic structures in motor vehicles.
- Acquire in-depth knowledge to determine reliability parameters of different safety-related architectures in the automotive environment.
- Acquire in-depth knowledge of special reliability models for hardware and software in vehicles.
- Recognition and classification of complex electrical engineering and interdisciplinary tasks in the context of functional safety in the automotive environment.
- Independent development and assessment of solution methods in the automotive engineering environment.
- In-depth and important experience in technical and engineering approaches to complex safety systems in automotive engineering.
- Acquisition of in-depth knowledge of diagnostic, inspection and test structures for architecture models in safety-related systems.

Learning content:

Fundamentals of safety engineering according to ISO 26262
Model-based fault detection methods
Use of fault trees FTA
Modeling of de- and inductive analysis methods
Tool-supported calculation of safety-related architectures with the "Fault Tree plus" tool
Modeling of an FMEDA
Tool-supported analyses
Investigation of different safety architectures in the automotive sector

Period

SS 24

Event no.

Teaching form

4 SWS:

Block seminar

Credits

Study program

Computer Science

Mechanical Engineering

Electrical Engineering

Pool FB16

Mechatronics

Mathematics

Industrial Engineering and Management

FUSE

Intended learning outcomes:
Structure and mode of operation of process computer systems, their hardware and software components, basics of control options using process computers, modeling of processes, mathematical descriptions of the processes to be controlled or regulated.

Learning content:

Structure of processes, mathematical model descriptions, structure of process computer and automation systems, structure and mode of operation of peripheral units, real-time properties, programming and tool selection, presentation of commercially available systems and tools with reference to the application, example applications from various applications

Period

SS 24

Teaching form

4 SWS

Credits

Study program

Computer Science

Mathematics

Electrical Engineering

Vocational Education Electrical Engineering

Pool FB16

Learning objectives:
Information representation, automata, structure and mode of operation of computer architectures, models of different computer architectures.

Learning content:
Internal hardware structure of processors and architectures

Period

SS 24

Teaching form

4 SWS

Credits

Study program

Computer Science

Mathematics

Pool FB16

Learning objectives:
Risk determination of different computer architectures, determination of risk potentials in hardware and software components, basics of mathematical models and descriptions.

Learning content:

Risk calculation, probability theory, structure of computer architectures, mathematical model descriptions, calculations of models

Period

SS 24

Teaching form

4 SWS

Credits

Study program

FUSE

Pool FB16

Intended learning outcomes:

Students have learned the basic approach to the development of safety structures in vehicles according to the state of the art.
Students are now able to understand the different safety architectures based on functional safety.
Learning outcomes related to the compulsory elective module:
- Acquisition of in-depth knowledge of ISO 26262 for the automotive sector
- Acquisition of extended and applied subject-specific basics of safety engineering
- Basic knowledge of complex electrotechnical safety architectures in automotive engineering
- Confident evaluation of analytical safety architectures
- Independent development and evaluation of solution methods

Learning outcomes in relation to the course objectives:
- Acquire knowledge of the ISO 26262 standard
- Safely apply and evaluate safety-related concepts to determine ASIL ratings.
- Acquire in-depth knowledge of safety-related electronic structures in motor vehicles.
- Acquire in-depth knowledge to determine reliability parameters of different safety-related architectures in the motor vehicle environment.
- Acquisition of in-depth knowledge of special reliability models for hardware and software in vehicles.
- Recognition and classification of complex electrical engineering and interdisciplinary tasks in the context of functional safety in the automotive environment.
- Independent development and evaluation of solution methods in the automotive engineering environment.
- In-depth and important experience in technical and engineering procedures of complex safety systems in automotive engineering.
- Acquire in-depth knowledge of diagnostic, inspection and test structures for architecture models in safety-related systems.

Course content:
ehrin Introduction to probability theory
Reliability and reliability parameters
System properties, system limits, system analysis
Safety engineering terminology
Benefits of safety and reliability engineering
Relationships between safety, quality and reliability
Standardization, organizations, standardization procedures
Ethics, roles and responsibilities
Case studies
Reliability and safety standards
Terms and parameters
Requirements for fault detection
Risk and hazard
Risk and hazard analysis
Example: EPS steering system in motor vehicles
Reliability and safety technology
Safeguarding methods
Calculation methods
Simplifications
Reliability of complex systems
Calculation of safety parameters
Reliability models for hardware and software in motor vehicles
Providing proof of safety
Important estimation methods