Imperative Programming, 6 credits

Imperativ programmering, 6 hp

TDP002

Main field of study

Programming

Course level

First cycle

Course type

Programme course

Examiner

Klas Arvidsson

Director of studies or equivalent

Ahmed Rezine

Education components

Preliminary scheduled hours: 62 h
Recommended self-study hours: 98 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6KIPR Programming, Bachelor's Programme 1 (Autumn 2017) 1 - Swedish Linköping C

Main field of study

Programming

Course level

First cycle

Advancement level

G1X

Course offered for

  • Programming, 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.

Intended learning outcomes

After the course the student will be able to:

  • describe and use the constructs of an imperative programming language
  • construct and solve problems using imperative programming
  • describe basic concepts in imperative program development

Course content

Craft: Handling a programming language and its tools and documentation.
Ability to work with programming constructs and divide programs into
modules. Ability to formulate algorithms, read source code and work
with testing and debugging.
Topics: Imperativ programming with its constructs, input/output,
file handling. Data structures, such as lists, trees, graphs and
tables.
Techniques: Python, Emacs, Linux.

Teaching and working methods

The course consists of lectures, labs, dojos and own exercises.
The lectues address the central topics and techniques of the course.
Labs and exercises give the studens a lot of training of the basic
components of program development.

Examination

DAT1Computer examination3 creditsU, 3, 4, 5
LAB1Laboratory work3 creditsU, G

Grades

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

Other information

Supplemetary courses: Objektorienterad programmering

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ahmed Rezine

Examiner

Klas Arvidsson

Course website and other links

http://www.ida.liu.se/~TDP002

Education components

Preliminary scheduled hours: 62 h
Recommended self-study hours: 98 h

Course literature

Additional literature

Books

  • Lutz, Mark, (2013) Learning Python 5. ed. Sebastopol, Calif. : O'Reilly, 2013
    ISBN: 9781449355739
Code Name Scope Grading scale
DAT1 Computer examination 3 credits U, 3, 4, 5
LAB1 Laboratory work 3 credits U, G

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. 

Additional literature

Books

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

ISBN: 9781449355739

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)
X
DAT1
LAB1

                            
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
LAB1

                            
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

                            
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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