Object Oriented Programming, 4 credits

Objektorienterad programmering, 4 hp

TDIU20

Main field of study

Computer Science and Engineering

Course level

First cycle

Course type

Programme course

Examiner

Klas Arvidsson

Director of studies or equivalent

Ahmed Rezine

Education components

Preliminary scheduled hours: 32 h
Recommended self-study hours: 75 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6IDAT Computer Engineering, B Sc in Engineering 2 (Spring 2017) 1 1 Swedish Linköping C
6IELK Engineering Electronics, B Sc in Engineering 2 (Spring 2017) 1 1 Swedish Linköping C

Main field of study

Computer Science and Engineering

Course level

First cycle

Advancement level

G1X

Course offered for

  • Computer Engineering, B Sc in Engineering
  • Engineering Electronics, B 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.

Prerequisites

Basic course in imperative programming, preferably using C++

Intended learning outcomes

The student will work to gain knowledge and skills in object oriented programming using C++. After a completed

course, the student should be able to:

• identify and use common idioms used in object oriented C++ programming

• create independant, non-trivial classes in C++

• create polymorphic class hierarchies in C++

• create programs to separately test a class implementation

Course content

• Abstraction using encapsulation

• Repetition of pointers and memory handling in C++

• Object orientated programming

• Classes: Concepts, Inheritance, Polymorphism

• Introduction to UML (class diagrams)

• Repetition of file separation

• The tool make

Teaching and working methods

New content is presented during lectures and discussed in smaller lesson groups. The student then practices during

labs.

Examination

LAB1Computer based laboratory work3 creditsU, G
DAT1Computer examination1 creditsU, 3, 4, 5

Grades

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

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ahmed Rezine

Examiner

Klas Arvidsson

Education components

Preliminary scheduled hours: 32 h
Recommended self-study hours: 75 h
Code Name Scope Grading scale
LAB1 Computer based laboratory work 3 credits U, G
DAT1 Computer examination 1 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. 

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)
X
X
DAT1
LAB1

                            
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
X
LAB1

                            
2.2 Experimentation, investigation, and knowledge discovery

                            
2.3 System thinking

                            
2.4 Attitudes, thought, and learning
X
X
DAT1
LAB1

                            
2.5 Ethics, equity, and other responsibilities

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X
X
LAB1

                            
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
X
X
X
LAB1

                            
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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