Advanced Computer Architecture, 6 credits

Datorarkitektur, 6 hp

TDTS08

Main field of study

Computer Science and Engineering Electrical Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Zebo Peng

Director of studies or equivalent

Ahmed Rezine

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 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) 2 2 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 2 2 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 2 2 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 2 2 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 2 2 English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (System-on-Chip) 7 (Autumn 2017) 2 2 English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (System-on-Chip) 7 (Autumn 2017) 2 2 English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (System-on-Chip) 7 (Autumn 2017) 2 2 English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (System-on-Chip) 7 (Autumn 2017) 2 2 English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (System-on-Chip) 7 (Autumn 2017) 2 2 English Linköping, Valla C
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering 7 (Autumn 2017) 2 2 English Linköping, Valla E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (System-on-Chip) 7 (Autumn 2017) 2 2 English Linköping, Valla C
6CDDD Computer Science and Engineering, M Sc in Engineering 7 (Autumn 2017) 2 2 English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (Computer Systems Architecture) 7 (Autumn 2017) 2 2 English Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering (System-on-Chip) 7 (Autumn 2017) 2 2 English Linköping, Valla C
6MDAV Computer Science, Master's Programme 1 (Autumn 2017) 2 2 English Linköping, Valla E
6MICS Computer Science, Master's Programme 1 (Autumn 2017) 2 2 English Linköping, Valla E
6MICS Computer Science, Master's Programme (Embedded Systems) 1 (Autumn 2017) 2 2 English Linköping, Valla E
6MELE Electronics Engineering, Master's programme (System-on-Chip) 3 (Autumn 2017) 2 2 English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering 7 (Autumn 2017) 2 2 English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (Computer Systems Architecture) 7 (Autumn 2017) 2 2 English Linköping, Valla E
6CITE Information Technology, M Sc in Engineering (System-on-Chip) 7 (Autumn 2017) 2 2 Swedish Linköping, Valla C

Main field of study

Computer Science and Engineering, Electrical Engineering

Course level

Second cycle

Advancement level

A1X

Course offered for

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

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 Architecture

Intended learning outcomes

The aim of the course is to present how modern computer systems work and are built. The students should learn the advanced concepts and principle of computer architecture and organization, as well as methods developed in order to improve the performance of current microprocessors and parallel systems. The students, when finishing the course, should be able to analyze a computer to extract its basic architectural features, and understand how its components work together to accomplish the computation tasks efficiently.

Course content

Instruction set, memory management and hierarchy, input/output and buses, pipelining techniques, branch prediction, RISC architectures, VLIW architectures and specific compiling techniques, superscalar architectures, out of order execution, parallel architectures and multiprocessors.

Teaching and working methods

The course is organized as a set of lectures and laboratory exercises.

Examination

LAB1Laboratory work2 creditsU, G
TEN1Written examination4 creditsU, 3, 4, 5

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ahmed Rezine

Examiner

Zebo Peng

Course website and other links

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 h

Course literature

Additional literature

Books


  • A list of recommended literature will be available in the course information.
     
Code Name Scope Grading scale
LAB1 Laboratory work 2 credits U, G
TEN1 Written examination 4 credits U, 3, 4, 5

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

A list of recommended literature will be available in the course information.
 

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
TEN1

                            
1.2 Fundamental engineering knowledge (G1X level)
X
TEN1

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X
TEN1

                            
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

                            
2.2 Experimentation, investigation, and knowledge discovery
X

                            
2.3 System thinking
X
X
LAB1

                            
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
X

                            
4.2 Enterprise and business context

                            
4.3 Conceiving, system engineering and management
X
X
LAB1
TEN1

                            
4.4 Designing
X
LAB1
TEN1

                            
4.5 Implementing
X
X
LAB1
TEN1

                            
4.6 Operating
X

                            
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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