Computer Hardware and Architecture, 4 credits

Datorteknik, 4 hp

TSEA77

Main field of study

Electrical Engineering

Course level

First cycle

Course type

Programme course

Examiner

Michael Josefsson

Director of studies or equivalent

Anders Nilsson

Education components

Preliminary scheduled hours: 34 h
Recommended self-study hours: 73 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CITE Information Technology, Master of Science in Engineering 2 (Spring 2019) 2 4 Swedish Linköping, Valla C

Main field of study

Electrical Engineering

Course level

First cycle

Advancement level

G1X

Course offered for

  • Master of Science in Information Technology

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

To fully appreciate the course you should have previous knowledge of any high level language.

Intended learning outcomes


The course provides an introduction on how simple processors work and are programmed at the lowest level. The laboratory work is the experimental implementation in the lab to provide practice in applying the abstract models and troubleshooting methodology. The laboratory work shall also include, practicing the ability to work in groups. Structured programming. Data sheets and manuals in English practice to communicate in foreign languages.


After the course you should be able to:

  • (i) Program a processor at the lowest level.
  • (ii) Use addressing modes and interrupt handling.
  • (iii) Make calculations using binary arithmetic.
  • (iv) Understand how a simple computer system is built.
  • (v) Describe the processor's unifying role in a computer system.
  • (vi) Troubleshoot software and hardware.
  • (vii) Read and understand data sheets.
  • (viii) Using a processor's input and output devices.
  • (ix) Contribute to the discussion and results in the lab group.

These goals are reached using assembler.
(Numeral refers to the corresponding comment field in IUAE matrix.)

 

Course content

Binary arithmetic:
Number representations, fix- and floating point. Arithemetic-logical functions, addition, subtraction, multiplication, shifts.

 

Computer architecture:
Internal dataflow in a simple computer model. Instructions, instruction formats, addressing modes, input and output, exceptions.

 

Input- and output peripherals.
Ports, A/D-conversions.

 

Mikrocontroller:
Purpose and features. Built-in peripherals, timers, clocking alternatives, blackout och brownout.

Teaching and working methods

The course consists of lectures and laboratory exercises.

Examination

LAB1Laboratory work4 creditsU, G
The laboratory exercises test the student's ability to write and verify assembler programs in close connexion with hardware. All laboratory exercises, including final individual exercise (LAX), must be fulfilled to pass the lab assignment examination.
Grades are given as ’Fail’ or ’Pass’.

Grades

Two grade scale, older version, U, G

Other information

Supplementary courses: Project with Microcontroller, Microcomputer Project Laboratory

Department

Institutionen för systemteknik

Director of Studies or equivalent

Anders Nilsson

Examiner

Michael Josefsson

Course website and other links

http://www.isy.liu.se/edu/kurs/TSEA77/

Education components

Preliminary scheduled hours: 34 h
Recommended self-study hours: 73 h

Course literature

Föreläsningsunderlag. Laborationshandledningar.
Code Name Scope Grading scale
LAB1 Laboratory work 4 credits U, G
The laboratory exercises test the student's ability to write and verify assembler programs in close connexion with hardware. All laboratory exercises, including final individual exercise (LAX), must be fulfilled to pass the lab assignment examination.
Grades are given as ’Fail’ or ’Pass’.
Föreläsningsunderlag. Laborationshandledningar.

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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