Design of Digital Systems, 6 credits

Konstruktion av digitala system, 6 hp

TSTE12

Main field of study

Computer Science and Engineering Electrical Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Kent Palmkvist

Director of studies or equivalent

Tomas Svensson

Education components

Preliminary scheduled hours: 44 h
Recommended self-study hours: 116 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 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Electronics) 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Electronics) 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Electronics) 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Electronics) 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Electronics) 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (System-on-Chip) 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (System-on-Chip) 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (System-on-Chip) 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (System-on-Chip) 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (System-on-Chip) 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla C
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (Electronics) 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (System-on-Chip) 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla C
6CDDD Computer Science and Engineering, M Sc in Engineering 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (Electronics) 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (System-on-Chip) 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla C
6CIEN Electronics Design Engineering, M Sc in Engineering 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla E
6MELE Electronics Engineering, Master's Programme 1 (Autumn 2017) 1 3 Swedish/English Linköping, Valla C
6CITE Information Technology, M Sc in Engineering 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (Electronics) 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (System-on-Chip) 7 (Autumn 2017) 1 3 Swedish/English Linköping, Valla C

Main field of study

Computer Science and Engineering, Electrical Engineering

Course level

Second cycle

Advancement level

A1X

Course offered for

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

Basic courses in digital circuits. Basic courses in programming.

Intended learning outcomes

The course includes methods and tools for design and implementation of complex electronic systems. The emphasis is put on the design process.

  • Design executable models using a hardware descripition language
  • Model digital systems at different abstraction levels using an hardware description language
  • Perform a project task following a project model
  • Use logic synthesis and modelling tools to create prototypes and applications in FPGA and VLSI
  • Use VHDL for modelling and synthesis of advanced digital systems
  • Know about how IP blocks works and are used in FPGA and VLSI designs
  • Know about how FPGA circuits function and can be used

Course content

Design of complex digital systems. Problem definition, specification, design process. Complexity, partitioning, and validation. Hardware description languages, introduction to VHDL.
Behavioral descriptions, modeling techniques, time delays. Test benches and verification methods. Hard real-time systems. Computational properties of algorithms, methods for scheduling, resource allocation and assignment. Synthesis of optimal architectures. Tools for design and simulation. Description of the design process for logic synthesis, optimization for VLSI implementation. Fast prototyping using FPGA.

Teaching and working methods

Besides lectures, the course includes a laboration series and a small project.

Examination

LAB1Laboratory Work2 creditsU, G
PRA1Project4 creditsU, G
Grades are given as ‘Fail’ or ‘Pass’.

Grades

Two-grade scale, U, G

Other information

Supplementary courses: System Design, CDIO
 

Department

Institutionen för systemteknik

Director of Studies or equivalent

Tomas Svensson

Examiner

Kent Palmkvist

Course website and other links

http://www.isy.liu.se/en/edu/kurs/TSTE12/

Education components

Preliminary scheduled hours: 44 h
Recommended self-study hours: 116 h

Course literature

Additional literature

Books

  • K. L. Short, (2009) VHDL for Engineers Prentice Hall
  • Svensson T., Krysander C, (2011) Projektmodellen LIPS Studentlitteratur
Code Name Scope Grading scale
LAB1 Laboratory Work 2 credits U, G
PRA1 Project 4 credits U, G
Grades are given as ‘Fail’ or ‘Pass’.

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. 

Additional literature

Books

K. L. Short, (2009) VHDL for Engineers Prentice Hall
Svensson T., Krysander C, (2011) Projektmodellen LIPS Studentlitteratur

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
LAB1
PRA1

                            
1.2 Fundamental engineering knowledge (G1X level)
X
X
LAB1
PRA1

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X
LAB1
PRA1

                            
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
PRA1

                            
2.2 Experimentation, investigation, and knowledge discovery
X
LAB1
PRA1

                            
2.3 System thinking
X
X
LAB1
PRA1

                            
2.4 Attitudes, thought, and learning
X
X
LAB1
PRA1

                            
2.5 Ethics, equity, and other responsibilities
X
LAB1
PRA1

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X
X
LAB1
PRA1

                            
3.2 Communications
X
PRA1

                            
3.3 Communication in foreign languages
X
X
PRA1

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

                            
4.2 Enterprise and business context
X
X
LAB1
PRA1

                            
4.3 Conceiving, system engineering and management
X
LAB1
PRA1

                            
4.4 Designing
X
LAB1
PRA1

                            
4.5 Implementing
X
LAB1
PRA1

                            
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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