Object Oriented Problem Solving, 10 credits

Objektorienterad problemlösning, 10 hp

TDDI82

Course starting semester

Main field of study

Computer Science and Engineering

Course level

First cycle

Course type

Programme course

Examiner

Klas Arvidsson

Director of studies or equivalent

Ola Leifler

Education components

Preliminary scheduled hours: 64 h
Recommended self-study hours: 203 h

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

Course offered for		Semester	Period	Timetable module	Language	Campus	ECV
6IDAT	Computer Engineering, B Sc in Engineering	2 (Spring 2018)	2	3	Swedish	Linköping, Valla	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

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	4.5 credits	U, G
UPG1	Seminars	1.5 credits	U, G
LAB1	Problem solving	2 credits	U, G
DAT1	Computer examination	2 credits	U, 3, 4, 5

Grades

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

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ola Leifler

Examiner

Klas Arvidsson

Education components

Preliminary scheduled hours: 64 h
Recommended self-study hours: 203 h

Code	Name	Scope	Grading scale
PRA2	Project	4.5 credits	U, G
UPG1	Seminars	1.5 credits	U, G
LAB1	Problem solving	2 credits	U, G
DAT1	Computer examination	2 credits	U, 3, 4, 5

Student rights and obligations (login required)
Linköping University common rules and regulations (in Swedish)

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

		U	A	Modules
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 PRA2
	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	PRA2
	2.2 Experimentation, investigation, and knowledge discovery
	2.3 System thinking	X	X	PRA2
	2.4 Attitudes, thought, and learning	X	X	PRA2
	2.5 Ethics, equity, and other responsibilities
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
	3.1 Teamwork	X	X	LAB1 PRA2
	3.2 Communications		X
	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	X	X	UPG1
	4.2 Enterprise and business context
	4.3 Conceiving, system engineering and management	X	X	PRA2
	4.4 Designing
	4.5 Implementing	X	X	LAB1 PRA2
	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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