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Introduction to Programming, 8 credits

Programmering, grundkurs, 8 hp

TDDD11

Course starting semester

The course is disused. Offered for the last time Spring semester 2023. Replaced by TDDE67.

Main field of study

Computer Science and Engineering

Course level

First cycle

Course type

Programme course

Examiner

Torbjörn Jonsson

Director of studies or equivalent

Ahmed Rezine

Education components

Preliminary scheduled hours: 80 h
Recommended self-study hours: 133 h

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

Course offered for		Semester	Period	Timetable module	Language	Campus	ECV
6IKEA	Chemical Analysis Engineering, B Sc in Engineering	4 (Spring 2017)	1, 2	4, 4	Swedish	Linköping, Valla	E
6CIEI	Industrial Engineering and Management - International, M Sc in Engineering - Chinese	2 (Spring 2017)	1, 2	4, 4	Swedish	Linköping, Valla	C
6CIEI	Industrial Engineering and Management - International, M Sc in Engineering - French	2 (Spring 2017)	1, 2	4, 4	Swedish	Linköping, Valla	C
6CIEI	Industrial Engineering and Management - International, M Sc in Engineering - German	2 (Spring 2017)	1, 2	4, 4	Swedish	Linköping, Valla	C
6CIEI	Industrial Engineering and Management - International, M Sc in Engineering - Japanese	2 (Spring 2017)	1, 2	4, 4	Swedish	Linköping, Valla	C
6CIEI	Industrial Engineering and Management - International, M Sc in Engineering - Spanish	2 (Spring 2017)	1, 2	4, 4	Swedish	Linköping, Valla	C
6CIII	Industrial Engineering and Management, M Sc in Engineering	2 (Spring 2017)	1, 2	4, 4	Swedish	Linköping, Valla	C
6KFYN	Physics and Nanotechnology	4 (Spring 2017)	1, 2	4, 4	Swedish	Linköping, Valla	C

Main field of study

Computer Science and Engineering

Course level

First cycle

Advancement level

G1X

Course offered for

Industrial Engineering and Management, M Sc in Engineering
Physics and Nanotechnology
Chemical Analysis Engineering, B Sc in Engineering
Industrial Engineering and Management - International, 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.

Intended learning outcomes

The course shall give the student deeper understanding of the
programming and program development and an overview of how computers and computer systems works, both hardware and software parts, in technical problem areas. Some understanding for some tools used within programming implementation. Some understanding of how it is to work in a small programming project and an overview of some problems in a project.

Course content

Using the computer system and computer science - Introduction to the window system which are used, UNIX, the editor Emacs. Introduktion in handling workstations and lineprinters.
Programming - Introduction to programming and discussions about different programming languages. Handling of system software like compilers and linkers.
Specific in Ada: the language elements, types, deklarations, expressions, statements, subprograms, I/O, how to structure programs. Packages. Data structures like arrays, records, files, pointers. A small programming project.
Introduction to the MATLAB tool and a small problem solving assignement.

Teaching and working methods

In the first period - The lectures presents the programming language Ada. The laboratory work consists of exercises in using IDA:s computer system. The exercises in programming are the big part of the laboratory work. The lessons in the course consists of exersices and are introductional to the laboratory work.
In the second period -Lectures, lessons and laboratory work are used for a small programming project. The course needs a large amount of the students home time.
The course runs over the entire spring semester

Examination

LABA	Laboratory work	6 credits	U, G
DAT1	Computer examination	2 credits	U, 3, 4, 5

Grades

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

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ahmed Rezine

Examiner

Torbjörn Jonsson

Education components

Preliminary scheduled hours: 80 h
Recommended self-study hours: 133 h

Course literature

Programmering i Ada 95 - för nybörjare och erfarna. Studentlitteratur. ISBN: 91-44-03989-1. Författare: Torbjörn Jonsson. Laborations- och projektmaterial finns på kurshemsidorna: http://www.ida.liu.se/~TDDD11

Code	Name	Scope	Grading scale
LABA	Laboratory work	6 credits	U, G
DAT1	Computer examination	2 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.

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	LABA
	1.2 Fundamental engineering knowledge (G1X level)	X	X		DAT1 LABA
	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		DAT1 LABA
	2.2 Experimentation, investigation, and knowledge discovery	X			LABA
	2.3 System thinking	X	X		DAT1 LABA
	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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