Book: Section Numbers Refer to the 2nd Edition
Slides:
- ppt/pptm: This is the type of the master slides. This is the recommended file format. Users without a PowerPoint license should use the free PowerPoint viewer from Microsoft, if they are running Windows. Slides have been generated with PowerPoint 2010 (pptm) or XP (ppt).
- pdf: These files have been generated with Adobe Distiller, the pdf-export function of Powerpoint 2010 or pdf-annotator. No animation is available.
Teaching Style
We recommend trying out flipped classroom teaching:
- ask the students to study the videos for the next meeting at home,
- during the meeting, remind the students very briefly about the topic of the meeting
- distribute worksheets, let the students work in groups on the worksheets, discuss the results (about 3 worksheets per 90 min. meeting)
- provide brief preview of the topic of the next meeting.
Content | Book Section | Videos | Slides | Simulators | Lectures |
---|---|---|---|---|---|
Preface: Embedded and Cyber-Physical Systems (definitions), motivation | Preface | 01.1 | es-marw-1.1.pptm es-marw-1.1.pdf | 1 | |
Introduction: application areas, examples, educational concept | 1.1, preface | 01.2 | 1 | ||
Introduction: Common characteristics | 1.2 | 01.3 | es-marw-1.2.pptm es-marw-1.2.pdf | 1 | |
Introduction: Challenges in embedded system design | 1.3 | 02.1 | 2 | ||
Introduction: design flows | 1.4 | 02.2 | 2 | ||
Specifications and Modeling: Requirements, models of computation | 2.1-2.2 | 02.3 | es-marw-2.01-moc.ppt es-marw-2.01-moc.pdf | 3 | |
Specifications and Modeling: The oberver pattern, a case against imperative specifications (based on E. Lee) | 2.1 | 03.1 | es-marw-2.02-sc.ppt es-marw-2.02-sc.pdf | 3 | |
Specifications and Modeling: Early design phases: text, use cases, time-distance charts, sequence charts | 2.3 | 03.2 | Time-Distance Charts - Animation | 3 | |
Specifications and Modeling: Communicating finite state machines (CFSMs): Timed automata | 2.4.1 | 03.3 | 3 | ||
Specifications and Modeling: State charts: implicit shared memory communication, modelling of hierarchy | 2.4.2.1 | 04.1 | es-marw-2.03-fsm.ppt es-marw-2.03-fsm.pdf | 4 | |
Specifications and Modeling: State charts timers and semantics, synchronous languages | 2.4.2.2, 2.4.2.3, 2.4.3 | 04.2 | 4 | ||
Specifications and Modeling: SDL: A case of message passing | 2.4.4 | 05.1 | es-marw-2.04-sdl-df.ppt es-marw-2.04-sdl-df.pdf | 5 | |
Specifications and Modeling: dataflow: scope, Kahn process networks (KPN) | 2.5.1-2.5.2 | 05.2 | Animation | 5 | |
Specifications and Modeling: dataflow: synchronous (or "static") data flow, SDF, Simulink, RTW, Labview | 2.5.3 | 05.3 | 5 | ||
Specifications and Modeling: Petri nets: Introduction | 2.6.1 | 06.1 | es-marw-2.05-petri.ppt es-marw-2.05-petri.pdf | 6 | |
Specifications and Modeling: Petri nets: condition/event nets | 2.6.2 | 06.2 | 6 | ||
Specifications and Modeling: Petri nets: place transition nets | 2.6.3 | 06.3 | 6 | ||
Specifications and Modeling: Petri nets: predicate/transition nets, evaluation | 2.6.4, 2.6.5 | 06.4 | 6 | ||
Specifications and Modeling: Discrete Event Modelling, VHDL | 2.7.1.1-2.7.1.4 | 07.1 | es-marw-2.06-discrete-event.ppt es-marw-2.06-discrete-event.pdf | 7 | |
Specifications and Modeling: Discrete Event Modelling, IEEE 1164 | 2.7.1.5 | 07.2 | 7 | ||
Specifications and Modeling: Imperative (or von Neumann) model of computation, Comparison of models | 2.8 | 08.1 | es-marw-2.07-imperative-wrap.ppt es-marw-2.07-imperative-wrap.pdf | 8 | |
Specifications and Modeling: comparison of models of computation | 2.10 | 08.2 | 8 | ||
ES-Hardware: Sensors | 3.2.1 | 09.1 | es-marw-3.1-sensors-ad.ppt es-marw-3.1-sensors-ad.pdf | 9 | |
ES-Hardware: discretization of time: sample-and-hold circuits | 3.2.2 | 09.2 | 9 | ||
ES-Hardware: discretization of values: A/D-converters | 3.2.2 | 09.3 | 9 | ||
ES-Hardware: discretization: quantization noise, aliasing | 09.4 | Java program available | 9 | ||
ES-Hardware: Processing, code-size efficiency | 3.3.1, 3.3.2, 3.3.3 | 10.1 | es-marw-3.2-processing.ppt es-marw-3.2-processing.pdf | 10 | |
ES-Hardware: Run-time efficiency, DSP, Multimedia processors, SIMD | 3.3.3.0-3.3.3.2 | 10.2 | 10 | ||
ES-Hardware: very long instruction word (VLIW) machines, microcontrollers, Multiprocessor systems on a chip (MPSoCs), | 3.3.3.3, 3.3.3.4, 3.3.3.5 | 11.1 | 11 | ||
ES-Hardware: Reconfigurable logic, Field programmable gate arrays (FPGAs) | 3.3.4 | 11.2 | es-marw-3.3-fpga-mem.ppt es-marw-3.3-fpga-mem.pdf | 11 | |
ES-Hardware: Memories | 3.4 | 11.3 | 11 | ||
ES-Hardware: Communication | 3.5 | 12.1 | es-marw-3.4-comm-da-actuator.ppt es-marw-3.4-comm-da-actuator.pdf | Animation | 12 |
ES-Hardware: Output: D/A-Converter | 3.6.1 | 12.2 | 12 | ||
ES-Hardware: Sampling theorem, actuators, secure hardware | 3.6.2, 3.6.3, 3.7 | 12.3 | 12 | ||
System Software: Embedded operating systems, real-time operating systems | 4.1.1, 4.1.2 | 13.1 | es-marw-4.1-rtos.ppt es-marw-4.1-rtos.pdf | 13 | |
System Software: Virtual machines | - | - | - | ||
System Software: Resource access protocols (Priority inversion and inheritance) | 4.1.4 | 13.2 | es-marw-4.1-rtos.ppt es-marw-4.1-rtos.pdf | Animation | 13 |
System Software: Resource access protocols (Priority ceiling, stack resource policy) | - | - | es-marw-4.2-rtos.ppt es-marw-4.2-rtos.pdf | 14 | |
System Software: ERIKA, hardware abstraction layers, middleware, real-time data bases | 4.2, 4.3, 4.4, 4.5 | 14.1 | 14 | ||
Evaluation and Validation: Scope, multi-objective optimization, relevant objectives | 5.1 | 14.2 | es-marw-5.1-evaluation.ppt es-marw-5.1-evaluation.pdf | 14 | |
Evaluation and Validation: performance evaluation (early estimation & worst case execution time analysis), prerequisite: integer linear programming | 5.2.1, 5.2.2 | es-marw-5.1-evaluation.ppt es-marw-5.1-evaluation.pdf es-marw-9.1-optimizations.ppt es-marw-9.1-optimizations.pdf | 15 | ||
Evaluation and Validation: real-time calculus | 5.2.3 | 15.1 | es-marw-5.2-evaluation.ppt es-marw-5.2-evaluation.pdf | 15 | |
Evaluation and Evaluation: Energy and power models, thermal models | 5.3, 5.4 | 15.2 | 16 | ||
Evaluation and Evaluation: Risk- and dependability analysis | 5.5 | 16.1 | es-marw-5.3-evaluation.ppt es-marw-5.3-evaluation.pdf | 17 | |
Validation and Evaluation: Simulation, rapid prototyping and emulation, formal verification (briefly) | 5.6, 5.7, 5.8 | 16.2 | 17 | ||
Application mapping: problem definition, classification of scheduling systems | 6.1, 6.2.1 | 17.1 | es-marw-6.1-aperiodic.ppt es-marw-6.1-aperiodic.pdf | 18 | |
Application mapping: Aperiodic scheduling without precedence constraints | 6.2.2 | 17.2 | Animation | 18 | |
Application mapping: Aperiodic scheduling with precedence constraints | 6.2.3 | es-marw-6.2-hls-scheduling.ppt es-marw-6.2-hls-scheduling.pdf | 19 | ||
Application mapping: Periodic scheduling without precendence constraints | 6.2.4 | 18.1 | es-marw-6.3-periodic.ppt es-marw-6.3-periodic.pdf | Animation | 19 |
Application mapping: Periodic scheduling with precendence constraints, sporadic events | 6.2.5, 6.2.6 | 20 | |||
Application mapping: Hardware/Software Partitioning | 6.3 | 18.2 | es-marw-6.4-cool.ppt es-marw-6.4-cool.pdf | 20 | |
Application mapping: Mapping of Applications to Multi-Processor Systems | 6.4 | es-marw-6.5-mp-mapping.ppt es-marw-6.5-mp-mapping.pdf | 21 | ||
Optimizations: task concurrency management, floating-point, high-level loop transformations | 7.1, 7.2, | es-marw-7.1-optimizations.ppt es-marw-7.1-optimizations.pdf | 22 | ||
Optimizations: SPM, allocation strategies | 7.3 | es-marw-7.2-optimizations.ppt es-marw-7.2-optimizations.pdf | 23 | ||
Optimizations: optimizations for caches, offset assignment problem | es-marw-7.3-optimizations.ppt es-marw-7.3-optimizations.pdf | 24 | |||
Optimizations: additional compiler optimizations, dynamic voltage scaling | 7.4 | es-marw-7.4-optimizations.ppt es-marw-7.4-optimizations.pdf | 25 | ||
Test | 8 | es-marw-8-test.ppt es-marw-8-test.pdf | 26 |
Search & People Search
Location & approach
The campus of TU Dortmund University is located close to interstate junction Dortmund West, where the Sauerlandlinie A 45 (Frankfurt-Dortmund) crosses the Ruhrschnellweg B 1 / A 40. The best interstate exit to take from A 45 is "Dortmund-Eichlinghofen" (closer to Campus Süd), and from B 1 / A 40 "Dortmund-Dorstfeld" (closer to Campus Nord). Signs for the university are located at both exits. Also, there is a new exit before you pass over the B 1-bridge leading into Dortmund.
To get from Campus Nord to Campus Süd by car, there is the connection via Vogelpothsweg/Baroper Straße. We recommend you leave your car on one of the parking lots at Campus Nord and use the H-Bahn (suspended monorail system), which conveniently connects the two campuses.
TU Dortmund University has its own train station ("Dortmund Universität"). From there, suburban trains (S-Bahn) leave for Dortmund main station ("Dortmund Hauptbahnhof") and Düsseldorf main station via the "Düsseldorf Airport Train Station" (take S-Bahn number 1, which leaves every 20 or 30 minutes). The university is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.
You can also take the bus or subway train from Dortmund city to the university: From Dortmund main station, you can take any train bound for the Station "Stadtgarten", usually lines U41, U45, U 47 and U49. At "Stadtgarten" you switch trains and get on line U42 towards "Hombruch". Look out for the Station "An der Palmweide". From the bus stop just across the road, busses bound for TU Dortmund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dortmund main station to the stop "Dortmund Kampstraße". From there, take U43 or U44 to the stop "Dortmund Wittener Straße". Switch to bus line 447 and get off at "Dortmund Universität S".
The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.
The H-Bahn is one of the hallmarks of TU Dortmund University. There are two stations on Campus Nord. One ("Dortmund Universität S") is directly located at the suburban train stop, which connects the university directly with the city of Dortmund and the rest of the Ruhr Area. Also from this station, there are connections to the "Technologiepark" and (via Campus Süd) Eichlinghofen. The other station is located at the dining hall at Campus Nord and offers a direct connection to Campus Süd every five minutes.
The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent "Technologiepark".
Site Map of TU Dortmund University (Second Page in English).