Switching Theory and Logical Design, 6 credits

Digitalteknik, 6 hp

TSEA52

Main field of study

Electrical Engineering

Course level

First cycle

Course type

Programme course

Examiner

Mattias Krysander

Director of studies or equivalent

Tomas Svensson

Education components

Preliminary scheduled hours: 56 h
Recommended self-study hours: 104 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese 5 (Autumn 2017) 1, 2 2, 4 Swedish E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Specialization Computer Science and Engineering) 5 (Autumn 2017) 1, 2 2, 4 Swedish C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Specialization Electrical Engineering) 5 (Autumn 2017) 1, 2 2, 4 Swedish C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French 5 (Autumn 2017) 1, 2 2, 4 Swedish E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Specialization Computer Science and Engineering) 5 (Autumn 2017) 1, 2 2, 4 Swedish C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Specialization Electrical Engineering) 5 (Autumn 2017) 1, 2 2, 4 Swedish C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German 5 (Autumn 2017) 1, 2 2, 4 Swedish E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Specialization Computer Science and Engineering) 5 (Autumn 2017) 1, 2 2, 4 Swedish C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Specialization Electrical Engineering) 5 (Autumn 2017) 1, 2 2, 4 Swedish C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese 5 (Autumn 2017) 1, 2 2, 4 Swedish E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Specialization Computer Science and Engineering) 5 (Autumn 2017) 1, 2 2, 4 Swedish C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Specialization Electrical Engineering) 5 (Autumn 2017) 1, 2 2, 4 Swedish C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish 5 (Autumn 2017) 1, 2 2, 4 Swedish E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Specialization Computer Science and Engineering) 5 (Autumn 2017) 1, 2 2, 4 Swedish C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Specialization Electrical Engineering) 5 (Autumn 2017) 1, 2 2, 4 Swedish C
6CIII Industrial Engineering and Management, M Sc in Engineering 5 (Autumn 2017) 1, 2 2, 4 Swedish E
6CIII Industrial Engineering and Management, M Sc in Engineering (Computer Science and Engineering Specialization) 5 (Autumn 2017) 1, 2 2, 4 Swedish C
6CIII Industrial Engineering and Management, M Sc in Engineering (Electrical Engineering Specialization) 5 (Autumn 2017) 1, 2 2, 4 Swedish C

Main field of study

Electrical Engineering

Course level

First cycle

Advancement level

G1X

Course offered for

  • Industrial Engineering and Management, M Sc in Engineering
  • Industrial Engineering and Management - International, M Sc in Engineering

Prerequisites

Ability to handle simple functional expressions. Ability to solve simple problems in basic electronics, i.e. Ohm's law and Kirchhoff's laws.

Intended learning outcomes

To give a theoretical and practical base for construction amd error detection of digital systems. After the course the student should be able to:

  • transform a problem to a theoretical model
  • use structured methods for analysis and synthesis
  • transform a theoretical model to a physical realisation
  • verify physical realisation against problem formulation

Course content

  • Number systems. Conversions.
  • Boolean Algebra. Modulo-2 Algebra
  • Simplification, Karnaugh Maps, NAND- and NOR- Networks, Three-state, Bus System, Incompletely Specified Networks. Multiple-Output Networks, Adders, Comparators, Decoders, Multiplexers.
  • Programmable Logic, Memories.
  • Sequential Networks. State Graphs. Mealy-, Moore- Networks.
  • Synthesis using flip-flops, Asynchronous Input Signals, Initialisation
  • Synthesis using Counters, Shiftregisters, Sequencers.
  • Modelling in VHDL, simulation using ModelSim and synthesizing with Xilinx.

Teaching and working methods

Lectures, lessons and laborations. 

Examination

LAB2Laboratory work2 creditsU, G
LAB1Laboratory work4 creditsU, G

The examination tests the student's ability to transform a problem formulation to a digital network. The laborations test the students ability to transform a theoretical model to working hardware and to verify the fysical network against the problem formulation. 
Grades are given as ’Fail’ or ’Pass’.

Grades

Two-grade scale, U, G

Other information

Supplementary courses:
Computer Hardware and Architecture, introductory course, Computer Hardware and Architecture, Electronics project

Department

Institutionen för systemteknik

Director of Studies or equivalent

Tomas Svensson

Examiner

Mattias Krysander

Course website and other links

http://www.da.isy.liu.se/undergrad/

Education components

Preliminary scheduled hours: 56 h
Recommended self-study hours: 104 h

Course literature

Lars-Hugo Hemert: Digitala kretsar, ISBN 978-91-44-01918-5, 3 uppl., Studentlitteratur AB, Lund 2001.
Code Name Scope Grading scale
LAB2 Laboratory work 2 credits U, G
LAB1 Laboratory work 4 credits U, G

The examination tests the student's ability to transform a problem formulation to a digital network. The laborations test the students ability to transform a theoretical model to working hardware and to verify the fysical network against the problem formulation. 
Grades are given as ’Fail’ or ’Pass’.

Lars-Hugo Hemert: Digitala kretsar, ISBN 978-91-44-01918-5, 3 uppl., Studentlitteratur AB, Lund 2001.

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)

                            
1.2 Fundamental engineering knowledge (G1X level)

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

                            
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

                            
2.2 Experimentation, investigation, and knowledge discovery

                            
2.3 System thinking

                            
2.4 Attitudes, thought, and learning

                            
2.5 Ethics, equity, and other responsibilities

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork

                            
3.2 Communications

                            
3.3 Communication in foreign languages

                            
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

                            
4.3 Conceiving, system engineering and management

                            
4.4 Designing

                            
4.5 Implementing

                            
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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