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Introduction to Computer Programming, 8 credits

Programmering, grundkurs, 8 hp

TDDE44

Course starting semester

Main field of study

Computer Science and Engineering Computer Science

Course level

First cycle

Course type

Programme course

Examiner

Jody Foo

Director of studies or equivalent

Jalal Maleki

Education components

Preliminary scheduled hours: 66 h
Recommended self-study hours: 147 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, Master of Science in Engineering	2 (Spring 2019)	1, 2	2, 1	Swedish	Linköping, Valla	C
6CMED	Biomedical Engineering, Master of Science in Engineering	2 (Spring 2019)	1, 2	2, 1	Swedish	Linköping, Valla	C
6KMAT	Mathematics, Bachelor's Programme	2 (Spring 2019)	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

Master of Science in Applied Physics and Electrical Engineering
Master of Science in Biomedical Engineering
Bachelor's Programme in Mathematics

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

Basic computer skills.

Intended learning outcomes

The intended purpose of this course is to facilitate and provide students with fundamental skills and knowledge pertaining to computer programming and an introduction to Computer Science. After having completed the course, the student should be able to:

Make use of the computing environment for tasks related to programming and building basic programs
Explain fundamental concepts related to computer science, programming, and programming languages
Solve programming related problems by applying an interactive approach to implementation, testing and troubleshooting
Construct abstractions using varying degree of support provided by the programming language
Solve programming problems by breaking them down into smaller sub-problems
Construct recursive and iterative algorithms

Course content

A general introduction to Computer Science
Programming fundamentals: expressions, basic datatypes, variables, functions, control structures, file management, file formats, modules
The Python programming language
Use of open data resources from the web
Interactive and incremental program development
Testing and troubleshooting
Programming paradigms: functional, imperative and object-oriented programming
Abstraction: Data and program abstraction

Teaching and working methods

The course consists of lectures, tutorials and laboratory sessions. Concepts and their applications are treated during lectures and tutorials. Practical skills and abilities are practiced during laboratory sessions by solving programming exercises. The course setup requires a high degree of student activity and that students engage in private studies outside of the scheduled classes.

Examination

LAB2	Data and program abstraction/intro to object-oriented programming	3 credits	U, G
LAB1	Fundamentals in programming and computer system	3 credits	U, G
DAT1	Computer examination	2 credits	U, 3, 4, 5

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

Jody Foo

Course website and other links

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

Education components

Preliminary scheduled hours: 66 h
Recommended self-study hours: 147 h

Course literature

Books

Lutz, Mark, (2013) Learning Python 5. ed. Sebastopol, Calif. : O'Reilly, 2013
ISBN: 9781449355739
Punch, W. F., Enbody, Richard J., (2017) The practice of computing using Python Third Edition. Boston, Mass. : Addison-Wesley/Pearson
Zelle, John M., (2010) Python programming : an introduction to computer science 2nd ed. Sherwood, Or. : Franklin, Beedle & Associates, 2010
ISBN: 9781590282410
Zelle, John M., (2017) Python Programming : An Introduction To Computer Science Third Edition. Franklin, Beedle & Associates, 2017.
ISBN: 9781590282755, 1590282752

Code	Name	Scope	Grading scale
LAB2	Data and program abstraction/intro to object-oriented programming	3 credits	U, G
LAB1	Fundamentals in programming and computer system	3 credits	U, G
DAT1	Computer examination	2 credits	U, 3, 4, 5

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

Books

Lutz, Mark, (2013) Learning Python 5. ed. Sebastopol, Calif. : O'Reilly, 2013

ISBN: 9781449355739

Punch, W. F., Enbody, Richard J., (2017) The practice of computing using Python Third Edition. Boston, Mass. : Addison-Wesley/Pearson

Zelle, John M., (2010) Python programming : an introduction to computer science 2nd ed. Sherwood, Or. : Franklin, Beedle & Associates, 2010

ISBN: 9781590282410

Zelle, John M., (2017) Python Programming : An Introduction To Computer Science Third Edition. Franklin, Beedle & Associates, 2017.

ISBN: 9781590282755, 1590282752

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		DAT1 LAB1 LAB2
	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		DAT1 LAB1 LAB2
	2.2 Experimentation, investigation, and knowledge discovery		X		LAB1 LAB2
	2.3 System thinking	X
	2.4 Attitudes, thought, and learning		X		DAT1 LAB1 LAB2
	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	X
	4.2 Enterprise and business context
	4.3 Conceiving, system engineering and management	X
	4.4 Designing	X
	4.5 Implementing	X
	4.6 Operating	X
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	X
	5.2 Economic conditions for knowledge development	X
	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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