Course detail

Real-Time Systems (in English)

FIT-RTSaAcad. year: 2020/2021

Lectures of the course do present the problem of developing a real-time system complexly, in its full breadth and depth. They pay a special attention to comprehensibility and practical applicability of presented topics as well as to linking fundamental knowledge together. The topics are supported by case studies of real-time systems from various application domains (automotive, avionics, defense, vision, robotics, power and energy etc.), case studies of timed development means (specification and verification means and tools, platforms, programming languages, operating systems) as well as problems, their causes and solutions. Students will become acquainted with fundamentals and complexity of such a development and will be able to cope with typical development problems. Dedicated exercises allow students to gain basic skills to solve such problems. Students can deepen their skills further, through the semestral project.

Guarantor

Ing. Josef Strnadel, Ph.D.

Department

Department of Computer Systems (UPSY)

Offered to foreign students

Of all faculties

Learning outcomes of the course unit

Students will get a general overview in the area of real-time systems and their development as well as in the area of real-time extensions of conventional, typically untimed, development means. Students will be able to specify requirements imposed on a real-time system, to model it and check its properties, to construct such a system by appropriate means (a hardware platform, operating system etc.) and to test it in operating conditions. Students will understand the principles and complexity of developing a (digital) system which meets the requirements for (continuous) real-time.
The students will be able to cope with the development cycle of real, typically hidden embedded cyber-physical, systems (such as engine or ABS control in a car, control of road/railway junctions and crossings, control of autonomous, adaptive, cooperative and/or collaborative systems) they may encounter in their everyday life. The students will link, deepen and extend their knowledge and skills from various, typically isolated, information technology areas (such as modeling and analysis, hardware, software, dependability, operating systems and languages) and will be able to see the areas from new perspectives.

Prerequisites

Knowledge of the basic principles of information technology. Advanced computer skills, intermediate communication and self-study skills in English; basic abstract, adaptive, analytical, logical and critical thinking skills, basic problem solving skills, basic programming skills.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Literature

Williams, R.: Real-Time Systems Development. Butterworth-Heinemann, 2006, 320 p., ISBN 978-0-7506-6471-4.
Olderog, E.-R., Dierks, H.: Real-Time Systems Formal Specification and Automatic Verification. Cambridge University Press, 2008, 344 p., ISBN 978-0521883337.
Lecture slides/notes available electronically - přednáškové materiály dostupné v elektronické podobě.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

  • 4 short-range reports summarizing the solutions of 4 partial tasks (12 points max).
  • Written mid-term test (15 points max).
  • Project with defense and due-date submission of its solution (18 points max).
  • All works have to be submitted by their deadlines; late submissions will be evaluated by 0 points.

Exam prerequisites:
No conditions are applied.

Language of instruction

English

Work placements

Not applicable.

Aims

To introduce and explore concepts, principles, methods and instruments as well as problems related to development of real-time systems, from their specification to their practical application. To provide students with a theoretical background and an understanding of the practical engineering issues raised by the development of real-time systems. To support the taught facts by real-world case studies, to motivate students to understand causes of problems and to discuss solutions of the problems. To give students knowledge and skills to develop a real-time system by practicing the gained knowledge during dedicated exercises and project topics.

Specification of controlled education, way of implementation and compensation for absences

  • Following activities are monitored: the attendance and activity during lectures, exercises and the progress of project-related works.
  • A prospective reimbursement of absences caused by an obstacle in the study is going to be realized according to the nature of the obstacle and lessons involved, e.g. by setting a substitute term or assigning a separate (homework) task. A solution to other kind of absence is not arranged herein, i.e., it is neither excluded nor guaranteed.

Classification of course in study plans

  • Programme IT-MGR-2 Master's

    branch MBI , any year of study, winter semester, 5 credits, elective
    branch MPV , any year of study, winter semester, 5 credits, elective
    branch MGM , any year of study, winter semester, 5 credits, elective

  • Programme IT-MGR-2 Master's

    branch MGMe , any year of study, winter semester, 5 credits, compulsory-optional

  • Programme IT-MGR-2 Master's

    branch MSK , any year of study, winter semester, 5 credits, compulsory-optional
    branch MBS , any year of study, winter semester, 5 credits, elective
    branch MIN , any year of study, winter semester, 5 credits, elective
    branch MMI , any year of study, winter semester, 5 credits, compulsory-optional
    branch MMM , any year of study, winter semester, 5 credits, elective

  • Programme MITAI Master's

    specialization NADE , any year of study, winter semester, 5 credits, elective
    specialization NBIO , any year of study, winter semester, 5 credits, elective
    specialization NGRI , any year of study, winter semester, 5 credits, elective
    specialization NNET , any year of study, winter semester, 5 credits, elective
    specialization NVIZ , any year of study, winter semester, 5 credits, elective
    specialization NCPS , any year of study, winter semester, 5 credits, elective
    specialization NSEC , any year of study, winter semester, 5 credits, elective
    specialization NEMB , any year of study, winter semester, 5 credits, elective
    specialization NHPC , any year of study, winter semester, 5 credits, elective
    specialization NISD , any year of study, winter semester, 5 credits, elective
    specialization NIDE , any year of study, winter semester, 5 credits, elective
    specialization NISY , any year of study, winter semester, 5 credits, elective
    specialization NMAL , any year of study, winter semester, 5 credits, elective
    specialization NMAT , any year of study, winter semester, 5 credits, elective
    specialization NSEN , any year of study, winter semester, 5 credits, elective
    specialization NVER , any year of study, winter semester, 5 credits, elective
    specialization NSPE , any year of study, winter semester, 5 credits, elective

  • Programme IT-MGR-1H Master's

    branch MGH , any year of study, winter semester, 5 credits, recommended

  • Programme IT-MGR-2 Master's

    branch MIS , 2. year of study, winter semester, 5 credits, elective

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Ing. Josef Strnadel, Ph.D.

Syllabus

  1. Introduction to real-time systems. Motivation to study, organization stuff.
  2. Real-time support in standards, languages and tools. 
  3. Modeling, analysis, design and validation of real-time systems. Formal specification and verification of real-time systems.
  4. Hardware, software and computational aspects of real-time systems.
  5. Time, clocks and orders. Time measurement and bases, clock synchronization.
  6. Real-time model. Event-driven and time-triggered concepts.
  7. Temporal relations in systems.
  8. Dependability concepts. Load and fault hypotheses, anomalies and robustness of real-time systems.
  9. Real-time communication. Multi/many-core and distributed real-time systems.
  10. Real-time kernels and operating systems.
  11. Scheduling and synchronization of real-time tasks. 
  12. Power and energy awareness in real-time systems.
  13. Challenges, open problems, trends and visions in the area of real-time systems. Summary and conclusion.

Exercise in computer lab

10 hours, compulsory

Teacher / Lecturer

Ing. Josef Strnadel, Ph.D.

Syllabus

  1. Acquaintance with available hardware and software equipment.
  2. Practice in modeling and analysis of real-time systems; specification and verification of timed systems.
  3. Practice in time measurement, clock synchronization and real-time system overheads on a particular hardware.
  4. Constructing and analyzing a simple real-time system in time triggered and event driven manners.
  5. Constructing, analyzing and testing a complex real-time system by means of a real-time operating system.

Project

16 hours, compulsory

Teacher / Lecturer

Ing. Josef Strnadel, Ph.D.

Syllabus

  • An individual or a group project.