Computer Hardware and Architecture, 4 credits

Datorteknik, 4 hp

TSEA82

Main field of study

Computer Science and Engineering Electrical Engineering

Course level

First cycle

Course type

Programme course

Examiner

Anders Nilsson

Director of studies or equivalent

Tomas Svensson

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
6CDDD Computer Science and Engineering, M Sc in Engineering 3 (Autumn 2017) 1 3 Swedish Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese 5 (Autumn 2017) 1 3 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Specialization Electrical Engineering) 5 (Autumn 2017) 1 3 Swedish Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French 5 (Autumn 2017) 1 3 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Specialization Electrical Engineering) 5 (Autumn 2017) 1 3 Swedish Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German 5 (Autumn 2017) 1 3 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Specialization Electrical Engineering) 5 (Autumn 2017) 1 3 Swedish Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese 5 (Autumn 2017) 1 3 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Specialization Electrical Engineering) 5 (Autumn 2017) 1 3 Swedish Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish 5 (Autumn 2017) 1 3 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Specialization Electrical Engineering) 5 (Autumn 2017) 1 3 Swedish Linköping, Valla C

Main field of study

Computer Science and Engineering, Electrical Engineering

Course level

First cycle

Advancement level

G1X

Course offered for

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

To fully appreciate the course you should be able to perform simple programming in any high level language.

Intended learning outcomes

The course provides a technical base on how simple processors work and are programmed at the lowest level. The laboratory work shall through experimental implementation of a computer system provide practical knowledge in applying abstract models and troubleshooting methodology. The laboratory work shall also include practicing the ability to work in groups. 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) Use a processor's input and output devices.
  • (ix) Contribute to the discussion and results in a lab group.
These goals are achieved using assembler.
(Numeral refers to the corresponding comment field in IUAE matrix.)

Course content

Binary arithmetic: Numberrepresentations, integers and floating point numbers. Arithmetic-logic operations, addition, subtraction, multiplication, shift.
Assembly programming: Instructions, addressing modes, interrupt. A/D-conversion.

Teaching and working methods

The course consists of lectures, laborations (4h each) and a lesson.

Examination

LAB1Laboratory work4 creditsU, G
The laboratory exercises test the student's ability to write and verify assembly programs in close connexion with hardware. All laboratory exercises, and an individual task, must be fulfilled to pass the lab assignment examination.

Grades

Two-grade scale, U, G

Department

Institutionen för systemteknik

Director of Studies or equivalent

Tomas Svensson

Examiner

Anders Nilsson

Course website and other links

http://www.isy.liu.se/edu/kurs/TSEA82/

Education components

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

Course literature

Additional literature

Books

  • Clements, Alan, The Principles of Computer Hardware Oxford University Press

Other

  • Lecture notes. Laboratory papers.

Code Name Scope Grading scale
LAB1 Laboratory work 4 credits U, G
The laboratory exercises test the student's ability to write and verify assembly programs in close connexion with hardware. All laboratory exercises, and an individual task, must be fulfilled to pass the lab assignment examination.

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

Clements, Alan, The Principles of Computer Hardware Oxford University Press

Other

Lecture notes. Laboratory papers.

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
X

                            
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
X
X

                            
2.2 Experimentation, investigation, and knowledge discovery
X
X

                            
2.3 System thinking
X
X

                            
2.4 Attitudes, thought, and learning
X
X

                            
2.5 Ethics, equity, and other responsibilities
X

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X

                            
3.2 Communications
X

                            
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

                            
4.2 Enterprise and business context

                            
4.3 Conceiving, system engineering and management

                            
4.4 Designing
X
X

                            
4.5 Implementing
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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