Object Oriented Problem Solving, 10 credits (TDDI82)
Objektorienterad problemlösning, 10 hp
Main field of study
Computer Science and EngineeringLevel
First cycleCourse type
Programme courseExaminer
Klas ArvidssonDirector of studies or equivalent
Ola LeiflerCourse 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 EngineeringCourse level
First cycleAdvancement level
G1XCourse 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.
Prerequisites
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.
Examination
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 |
Grades
Four-grade scale, LiU, U, 3, 4, 5Department
Institutionen för datavetenskapDirector of Studies or equivalent
Ola LeiflerExaminer
Klas ArvidssonEducation components
Preliminary scheduled hours: 64 hRecommended self-study hours: 203 h
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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