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Functional and Imperative Programming, Part 1, 6 credits

Funktionell och imperativ programmering, del 1, 6 hp

TDDE23

Course starting semester

Main field of study

Computer Science and Engineering Computer Science

Course level

First cycle

Course type

Programme course

Examiner

Peter Dalenius

Director of studies or equivalent

Peter Dalenius

Education components

Preliminary scheduled hours: 46 h
Recommended self-study hours: 114 h

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

Course offered for		Semester	Period	Timetable module	Language	Campus	ECV
6CDDD	Computer Science and Engineering, Master of Science in Engineering	1 (Autumn 2018)	1	3	Swedish	Linköping, Valla	C
6CMJU	Computer Science and Software Engineering, Master of Science in Engineering	1 (Autumn 2018)	1	3	Swedish	Linköping, Valla	C

Main field of study

Computer Science and Engineering, Computer Science

Course level

First cycle

Advancement level

G1X

Course offered for

Master of Science in Computer Science and Engineering
Master of Science in Computer Science and Software 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 aim of the course is that the students should gain enough experience in using the computer labs to facilitate future course work, and also that the students should gain basic understanding of programming. After the course, the student will be able to:

without problems use the department computer labs
design and implement simple algorithms in a programming language
methodically solve programming related problems using an interactive way of work with implementation, testing and troubleshooting
construct computer programs using Pyhon

Course content

The following topics are addressed during lectures:

the university's IT systems
The Python programming language
methods for interactive and incremental program development
methods for testing and troubleshooting

Teaching and working methods

The course starts with a short section where basic Linux skills are trained. Theoretical background is introduced during a couple of lectures, but the main work is done during laboratory sessions. After this, the main part of the course starts, dealing with basic programming skills. A series of weekly seminars constitute the backbone of the course. The different seminar groups have different approaches to learning, and the students are free to choose group, based on learning style and previous experience. The main work is done during laboratory sessions. A few lectures are given as support.

Examination

LAB1	Laboratory work	5 credits	U, G
UPG1	Exercises	1 credits	U, G

Grades are given as ”Fail” or ”Pass”.

Grades

Two grade scale, older version, U, G

Other information

Supplementary courses: Funktionell och imperativ programmering i Python part 2.

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Peter Dalenius

Examiner

Peter Dalenius

Course website and other links

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

Education components

Preliminary scheduled hours: 46 h
Recommended self-study hours: 114 h

Course literature

Books

Zelle, John M., (2010) Python Programming: An Introduction to Computer Science. Franklin, Beedle & Associates Inc
ISBN: 978-1-59028-241-0

Code	Name	Scope	Grading scale
LAB1	Laboratory work	5 credits	U, G
UPG1	Exercises	1 credits	U, G

Grades are given as ”Fail” or ”Pass”.

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

Books

Zelle, John M., (2010) Python Programming: An Introduction to Computer Science. Franklin, Beedle & Associates Inc

ISBN: 978-1-59028-241-0

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	LAB1
	1.2 Fundamental engineering knowledge (G1X level)		X		LAB1 UPG1
	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
	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
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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