Object Oriented Programming, 4 credits (TDIU20)

Objektorienterad programmering, 4 hp

Main field of study

Computer Science and Engineering

Level

First cycle

Course type

Programme course

Examiner

Klas Arvidsson

Director of studies or equivalent

Ahmed Rezine
Course offered for Semester Period Timetable module Language Campus VOF
6IDAT Computer Engineering, B Sc in Engineering 2 (Spring 2017) 1 1 Swedish Linköping o
6IELK Engineering Electronics, B Sc in Engineering 2 (Spring 2017) 1 1 Swedish Linköping o

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 workU, G3 credits
DAT1Computer examinationU, 3, 4, 51 credits

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
There is no course literature available for this course.
LAB1 Computer based laboratory work U, G 3 credits
DAT1 Computer examination U, 3, 4, 5 1 credits

Regulations (apply to LiU in its entirety)

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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. 

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