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Programming: Abstraction and Modelling, 8 credits

Programmering - abstraktion och modellering, 8 hp

TDDC74

The course is disused. Replaced by TDDE44.

Main field of study

Computer Science and Engineering Computer Science

Course level

First cycle

Course type

Programme course

Examiner

Jalal Maleki

Director of studies or equivalent

Jalal Maleki

Education components

Preliminary scheduled hours: 64 h
Recommended self-study hours: 149 h

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

Course offered for		Semester	Period	Timetable module	Language	Campus	ECV
6CYYY	Applied Physics and Electrical Engineering, M Sc in Engineering	2 (Spring 2017)	1, 2	2, 1	Swedish	Linköping, Valla	C
6CMED	Biomedical Engineering, M Sc in Engineering	2 (Spring 2017)	1, 2	2, 1	Swedish	Linköping, Valla	C
6KMAT	Mathematics, Bachelor´s Programme	2 (Spring 2017)	1, 2	2, 1	Swedish	Linköping, Valla	C

Main field of study

Computer Science and Engineering, Computer Science

Course level

First cycle

Advancement level

G1X

Course offered for

Biomedical Engineering, M Sc in Engineering
Applied Physics and Electrical Engineering, M Sc in Engineering
Mathematics, Bachelor´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

Elementary computer usage.

Intended learning outcomes

After completing this course, the students should be able to use data and program structures to represent computational problems and their solutions. More specifically, the students should be able to:

exhibit a good understanding of the basic concepts in computer programming
use an interactive programming environment to systematically and incrementally construct programs
represent recursive and interative algorithms for problem solving
construct data and program structures that facilitate design of programs that are reusable, easy to understand and easy to maintain
successfully carry out a small programming project and write the required documentation

Course content

Introduction to the programming environment used during the labs.
The programming language SCHEME (a dialect of LISP): expressions, symbols, lists, variables and environments, lambda-notation, procedures, higher-order procedures.
Abstraction methods: procedure abstraction, data abstraction with abstract data types and interfaces.
Evaluation models: recursive and iterative processes.
Basic data structures: trees, queues and tables. Pointers.
Programming paradigms: functional, imperative and object oriented programming,
Models for program interpretation: the substitution model and the environment model.
Models for objects and state. Assignment.
Organization and modularity of larger programs. Data-driven programming,
Specification and documentation of a project.

Teaching and working methods

Lectures, problem classes and laboratory work with programming assignments. The course runs over the entire spring semester.

Examination

KTR4	Optional computer test	0 credits	U, G
KTR3	Optional computer test	0 credits	U, G
PRA1	Project	3 credits	U, 3, 4, 5
LAB1	Laboratory Works	3 credits	U, G
DAT1	Computer examination	2 credits	U, 3, 4, 5

The written examination can be substituted by two quizzes during the first period of the course. Written examinations of the entire course are given in June, October and August.

Grades

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

Other information

Supplementary courses: Programming - data structures and algorithms. Data and program structures.

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Jalal Maleki

Examiner

Jalal Maleki

Course website and other links

http://www.ida.liu.se/~TDDC74

Education components

Preliminary scheduled hours: 64 h
Recommended self-study hours: 149 h

Course literature

Abelson, H, Sussman, G, J, Structure and Interpretation of Computer Programs. MIT Press. Boken finns även att tillgå på http://mitpress.mit.edu/sicp/full-text/book/book.html

Code	Name	Scope	Grading scale
KTR4	Optional computer test	0 credits	U, G
KTR3	Optional computer test	0 credits	U, G
PRA1	Project	3 credits	U, 3, 4, 5
LAB1	Laboratory Works	3 credits	U, G
DAT1	Computer examination	2 credits	U, 3, 4, 5

The written examination can be substituted by two quizzes during the first period of the course. Written examinations of the entire course are given in June, October and August.

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, Structure and Interpretation of Computer Programs. MIT Press. Boken finns även att tillgå på http://mitpress.mit.edu/sicp/full-text/book/book.html

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	Modules
1. DISCIPLINARY KNOWLEDGE AND REASONING
	1.1 Knowledge of underlying mathematics and science (G1X level)			X
	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)
	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			LAB1 PRA1
	2.2 Experimentation, investigation, and knowledge discovery
	2.3 System thinking
	2.4 Attitudes, thought, and learning	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
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
	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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