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Data and Program Structures, 6 credits

Data- och programstrukturer, 6 hp

TDDA69

The course is disused.

Main field of study

Computer Science and Engineering Computer Science

Course level

First cycle

Course type

Programme course

Examiner

Cyrille Berger

Director of studies or equivalent

Peter Dalenius

Education components

Preliminary scheduled hours: 64 h
Recommended self-study hours: 96 h

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

Course offered for		Semester	Period	Timetable module	Language	Campus	ECV
6KIPR		6 (Spring 2017)	1, 2	3, 1	Swedish	Linköping, Valla	E
6CDDD	Computer Science and Engineering, M Sc in Engineering	8 (Spring 2017)	1, 2	3, 1	Swedish	Linköping, Valla	E
6CDDD	Computer Science and Engineering, M Sc in Engineering (Computer Systems Architecture)	8 (Spring 2017)	1, 2	3, 1	Swedish	Linköping, Valla	E
6CDDD	Computer Science and Engineering, M Sc in Engineering (Programming and Algorithms)	8 (Spring 2017)	1, 2	3, 1	Swedish	Linköping, Valla	E
6CMJU	Computer Science and Software Engineering, M Sc in Engineering	8 (Spring 2017)	1, 2	3, 1	Swedish	Linköping, Valla	E
6CMJU	Computer Science and Software Engineering, M Sc in Engineering (Programming and Algorithms Specialization)	8 (Spring 2017)	1, 2	3, 1	Swedish	Linköping, Valla	E
6CITE	Information Technology, M Sc in Engineering	8 (Spring 2017)	1, 2	3, 1	Swedish	Linköping, Valla	E
6CITE	Information Technology, M Sc in Engineering (Computer Systems Architecture)	8 (Spring 2017)	1, 2	3, 1	English	Linköping, Valla	E
6CITE	Information Technology, M Sc in Engineering (Programming and Algorithms)	8 (Spring 2017)	1, 2	3, 1	English	Linköping, Valla	E

Main field of study

Computer Science and Engineering, Computer Science

Course level

First cycle

Advancement level

G2X

Course offered for

Computer Science and Engineering, M Sc in Engineering
Information Technology, M Sc in Engineering
Computer Science and Software 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

Functional programming, preferably Common Lisp or Scheme, and also to some extent object oriented programming.

Intended learning outcomes

Provide knowledge of various programming paradigms and evaluation strategies. The aim of the course is that the students should gain knowledge of different programming paradigms and strategies for evaluation, and how these can be implemented. After the course the student will be able to:

describe aspects of evaluation and execution in different language models
explain and demonstrate how design choices affect the expressiveness and efficacy of a programming language
analyze and value programming languages based on their evaluation and compilation strategies
implement programming languages in the form of an interpreter and a compiler

Course content

The following topics are adressed during lectures and lessons:

The Scheme programming language, used as a tool in the literature and during the labs, and as a model language for implementing other languages.
The substition and environmental model.
Programming paradigms and models of evaluation, e.g. functional, imperative, object oriented; lazy evaluation, streams, non-deterministic evaluation, logic programming.
Aspects of evaluation, parameter passing, exection environments and models of recursion.
Study and implmenentation of interpreters and compilers, where Scheme is the model language.

Teaching and working methods

The theoretical part of the course is treated during the lectures. The seminars are used for preparing for the laboratory assignments and for exercising the solving of applied problems. The laboratory work provides practical experience.
The course runs over the entire spring semester.

Examination

LABA	Laboratory Work	4.5 credits	U, G
TENA	Written examination	1.5 credits	U, 3, 4, 5

Grades

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

Other information

Supplementary courses:
Logic Programming, Programming Theory.

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Peter Dalenius

Examiner

Cyrille Berger

Course website and other links

http://www.ida.liu.se/~TDDA69

Education components

Preliminary scheduled hours: 64 h
Recommended self-study hours: 96 h

Course literature

Abelson H. & Sussman, G.J. (1996) Structure and Interpretation of Computer Programs. MIT Press. Laborationsmaterial.

Code	Name	Scope	Grading scale
LABA	Laboratory Work	4.5 credits	U, G
TENA	Written examination	1.5 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.

Student rights and obligations (login required)
Linköping University common rules and regulations (in Swedish)

Course literature is preliminary.

Abelson H. & Sussman, G.J. (1996) Structure and Interpretation of Computer Programs. MIT Press. Laborationsmaterial.

Download

Download course literature list as PDF

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize

		I	U	A
1. DISCIPLINARY KNOWLEDGE AND REASONING
	1.1 Knowledge of underlying mathematics and science (G1X level)
	1.2 Fundamental engineering knowledge (G1X level)			X
	1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)		X
	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
	2.2 Experimentation, investigation, and knowledge discovery
	2.3 System thinking		X
	2.4 Attitudes, thought, and learning	X
	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		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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