System Design and Methodology, 6 credits (TDTS07)

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

TEN2	Written examination	U, 3, 4, 5	2.5 credits
LAB1	Laboratory work	U, G	3.5 credits

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.