Object Oriented Problem Solving, 10 credits (TDDI82)

Objektorienterad problemlösning, 10 hp

Main field of study

Computer Science and Engineering


First cycle

Course type

Programme course


Klas Arvidsson

Director of studies or equivalent

Ola Leifler
Course offered for Semester Period Timetable module Language Campus VOF
6IDAT Computer Engineering, Bachelor of Science in Engineering 2 (Spring 2019) 2 3 Swedish Linköping o

Main field of study

Computer Science and Engineering

Course level

First cycle

Advancement level


Course offered for

  • Bachelor of Science in Computer 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.


Basic object oriented programming course, preferably using C++

Intended learning outcomes

The student will work to gain knowledge and skills in problem solving using object oriented programming in C++.

After a completed course, the student should be able to:

  • formulate and create solutions to programming problems using an object oriented approach
  • solve data processing problems using selected components from the standard template library
  • create simple class and function templates
  • be able to describe and analyze ethical aspects related to the subject

Course content

  • Abstraction and object oriented methods (object oriented analysis and design)
  • The following concepts; inheritance, encapsulation, association, aggregation, composition, polymorphism
  • Create simple class diagrams using UML
  • Function and class templates
  • The Standard Template Library (STL) including iterators, containers, algorithms and adaptors
  • Lambda expressions and function objects
  • Seminary discussion of ethical aspects related to the software development process.

Teaching and working methods

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


PRA2ProjectU, G4.5 credits
UPG1SeminarsU, G1.5 credits
LAB1Problem solvingU, G2 credits
DAT1Computer examinationU, 3, 4, 52 credits


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


Institutionen för datavetenskap

Director of Studies or equivalent

Ola Leifler


Klas Arvidsson

Education components

Preliminary scheduled hours: 64 h
Recommended self-study hours: 203 h
There is no course literature available for this course.
PRA2 Project U, G 4.5 credits
UPG1 Seminars U, G 1.5 credits
LAB1 Problem solving U, G 2 credits
DAT1 Computer examination U, 3, 4, 5 2 credits

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