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Introduction to Programming and Computational Thinking, 6 credits

Introduktion till programmering och datalogiskt tänkande, 6 hp

TDDE04

Course starting semester

Main field of study

Computer Science and Engineering

Course level

First cycle

Course type

Programme course

Examiner

Erik Berglund

Director of studies or equivalent

Jalal Maleki

Education components

Preliminary scheduled hours: 52 h
Recommended self-study hours: 108 h

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

Course offered for		Semester	Period	Timetable module	Language	Campus	ECV
6CDPU	Design and Product Development, Master of Science in Engineering	1 (Autumn 2019)	1, 2	4, 1	Swedish	Linköping, Valla	C
6CEMM	Energy - Environment - Management, Master of Science in Engineering	1 (Autumn 2019)	1, 2	4, 1	Swedish	Linköping, Valla	C
6IMAS	Mechanical Engineering, Bachelor of Science in Engineering	1 (Autumn 2019)	2	3	Swedish	Linköping, Valla	C
6CMMM	Mechanical Engineering, Master of Science in Engineering	1 (Autumn 2019)	2	3	Swedish	Linköping, Valla	C

Main field of study

Computer Science and Engineering

Course level

First cycle

Advancement level

G1X

Course offered for

Master of Science in Design and Product Development
Master of Science in Mechanical Engineering
Bachelor of Science in Mechanical Engineering
Master of Science in Energy - Environment - Management

Intended learning outcomes

Advanced software simulation for design, construction and calculation are now common components in engineering. These simulation tools are also programming platforms and writing code enable the engineer to generate, visualize, and seek solutions using algorithms. Programming can become a basis for computational thinking in design, construction and calculation where the engineer writes programs to address creative tasks. The purpose of the course is that students acquire basic knowledge in programming and develop an understanding for the role of programming in modern engineering.

After completing the course, students should be able to:

design and implement simple algorithms in a programming / scripting language (such as Python) commonly used in design and construction simulation
explain basic concepts in programming and computational thinking, and
describe how scripts can be used to generate and explore alternative design solutions for engineering tasks.

Course content

Basic concepts of programming and computational thinking
Basic data and program structures
The basics of Python programming language
Design and construction of 2D and 3D object programming tool such as Blender
Modelling of the design problems in the form of computer program

Teaching and working methods

The course consists of lectures, introduction to programming amd presentation of code solutions in seminars.

Examination

PRA1	Individual assignment	2 credits	U, G
LAB1	Laboratory work	2 credits	U, G
UPG1	Assignments	2 credits	U, G

Grades are given as ’Fail’ or ’Pass’.

Grades

Two grade scale, older version, U, G

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Jalal Maleki

Examiner

Erik Berglund

Education components

Preliminary scheduled hours: 52 h
Recommended self-study hours: 108 h

Code	Name	Scope	Grading scale
PRA1	Individual assignment	2 credits	U, G
LAB1	Laboratory work	2 credits	U, G
UPG1	Assignments	2 credits	U, G

Grades are given as ’Fail’ or ’Pass’.

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

There is no course literature available for this course in studieinfo.

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