System Design and Methodology, 6 credits

Systemkonstruktion och metodik, 6 hp

TDTS07

Main field of study

Information Technology Computer Science and Engineering Electrical Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Petru Eles

Director of studies or equivalent

Ahmed Rezine

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 h

Available for exchange students

Yes
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2017) 1 1 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2017) 1 1 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2017) 1 1 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2017) 1 1 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2017) 1 1 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (System-on-Chip) 8 (Spring 2017) 1 1 English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (System-on-Chip) 8 (Spring 2017) 1 1 English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (System-on-Chip) 8 (Spring 2017) 1 1 English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (System-on-Chip) 8 (Spring 2017) 1 1 English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (System-on-Chip) 8 (Spring 2017) 1 1 English Linköping, Valla C
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering 8 (Spring 2017) 1 1 English Linköping, Valla E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (System-on-Chip) 8 (Spring 2017) 1 1 English Linköping, Valla C
6CDDD Computer Science and Engineering, M Sc in Engineering 8 (Spring 2017) 1 1 English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (Computer Systems Architecture) 8 (Spring 2017) 1 1 English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (System-on-Chip) 8 (Spring 2017) 1 1 English Linköping, Valla C
6CDDD Computer Science and Engineering, M Sc in Engineering (Systems Technology) 8 (Spring 2017) 1 1 English Linköping, Valla C
6CMJU Computer Science and Software Engineering, M Sc in Engineering 8 (Spring 2017) 1 1 English Linköping, Valla E
6MDAV Computer Science, Master's programme 2 (Spring 2017) 1 1 English Linköping, Valla E
6MICS Computer Science, Master's programme 2 (Spring 2017) 1 1 English Linköping, Valla E
6MELE Electronics Engineering, Master's programme (Analogue/Digital and RF IC Design) 2 (Spring 2017) 1 1 English Linköping, Valla E
6MELE Electronics Engineering, Master's programme (System-on-Chip) 2 (Spring 2017) 1 1 English Linköping, Valla C
6CITE Information Technology, M Sc in Engineering 8 (Spring 2017) 1 1 English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (Computer Systems Architecture) 8 (Spring 2017) 1 1 English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (System-on-Chip) 8 (Spring 2017) 1 1 Swedish Linköping, Valla C
6CITE Information Technology, M Sc in Engineering (Systems Technology) 8 (Spring 2017) 1 1 English Linköping, Valla C

Main field of study

Information Technology, Computer Science and Engineering, Electrical Engineering

Course level

Second cycle

Advancement level

A1X

Course offered for

  • Computer Science and Engineering, M Sc in Engineering
  • Applied Physics and Electrical Engineering, M Sc in Engineering
  • Computer Science, Master's programme
  • Electronics Engineering, Master's programme
  • Information Technology, M Sc in Engineering
  • Applied Physics and Electrical Engineering - International, M Sc in Engineering
  • Computer Science and Software Engineering, M Sc in Engineering

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Computer Hardware and Basic Computer Architectures, Programming

Intended learning outcomes

The aim of the course is to address the particular problems concerning the design of complex embedded systems. Modern design methodologies are presented with an emphasis on early design phases, such as modeling, verification and system-level synthesis, not covered by traditional methods. After completing the course, the students should be able to:

  • Apply modern system-level methods and tools for the design of real-time embedded systems.
  • Understand and use modern modeling, verification and simulation tools in the context of system-level design.
  • Apply various modeling approaches, with a deep understanding of the practical and theoretical implications.
  • Analyze the particular features of the application and select the most appropriate modeling approach.
  • Evaluate the implications of system level design decisions, regarding system architecture, task scheduling and mapping, on the final system performance, cost, and power consumption.
  • Understand the complex interactions between hardware architecture and software implementation.
  • Formally verify a system model.
  • Perform design space exploration using a system-level simulation environment.

Course content

Embedded systems and their design, Design flow, Specification and modeling of embedded systems, Simulation and estimation, Architectures for embedded systems,Mapping and scheduling, Power related issues at the system level.

Teaching and working methods

The course consists of a series of lectures, lessons and laboratory exercises, as well as the elaboration and presentation of a report.

Examination

LAB1Laboratory work3.5 creditsU, G
TEN2Written examination2.5 creditsU, 3, 4, 5

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ahmed Rezine

Examiner

Petru Eles

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 h

Course literature

Peter Marwedel: "Embedded System Design", Springer, 2nd edition, 2011.
Code Name Scope Grading scale
LAB1 Laboratory work 3.5 credits U, G
TEN2 Written examination 2.5 credits U, 3, 4, 5

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

Peter Marwedel: "Embedded System Design", Springer, 2nd edition, 2011.

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)
X

                            
1.2 Fundamental engineering knowledge (G1X level)
X

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X
LAB1
TEN2

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
X
LAB1

                            
2.2 Experimentation, investigation, and knowledge discovery
X
LAB1

                            
2.3 System thinking
X
LAB1
TEN2

                            
2.4 Attitudes, thought, and learning
X
X
LAB1
TEN2

                            
2.5 Ethics, equity, and other responsibilities

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X

                            
3.2 Communications
X
LAB1

                            
3.3 Communication in foreign languages
X

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context
X

                            
4.2 Enterprise and business context

                            
4.3 Conceiving, system engineering and management
X
LAB1
TEN2

                            
4.4 Designing
X
X

                            
4.5 Implementing
X
X

                            
4.6 Operating

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

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