Data Structures and Algorithms, 6 credits

Datastrukturer och algoritmer, 6 hp

TDDE22

Main field of study

Computer Science and Engineering

Course level

First cycle

Course type

Programme course

Examiner

Erik Nilsson

Director of studies or equivalent

Ahmed Rezine

Education components

Preliminary scheduled hours: 52 h
Recommended self-study hours: 108 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese 5 (Autumn 2017) 1 3 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Specialization Computer Science and Engineering) 5 (Autumn 2017) 1 3 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French 5 (Autumn 2017) 1 3 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Specialization Computer Science and Engineering) 5 (Autumn 2017) 1 3 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German 5 (Autumn 2017) 1 3 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Specialization Computer Science and Engineering) 5 (Autumn 2017) 1 3 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese 5 (Autumn 2017) 1 3 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Specialization Computer Science and Engineering) 5 (Autumn 2017) 1 3 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish 5 (Autumn 2017) 1 3 Swedish Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Specialization Computer Science and Engineering) 5 (Autumn 2017) 1 3 Swedish Linköping E
6CIII Industrial Engineering and Management, M Sc in Engineering 5 (Autumn 2017) 1 3 Swedish Linköping E
6CIII Industrial Engineering and Management, M Sc in Engineering (Computer Science and Engineering Specialization) 5 (Autumn 2017) 1 3 Swedish Linköping E

Main field of study

Computer Science and Engineering

Course level

First cycle

Advancement level

G2X

Course offered for

  • Industrial Engineering and Management, M Sc in Engineering
  • Industrial Engineering and Management - International, M 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.

Examination

UPG1Voluntary assignment0 creditsU, G
LAB1Laboratory Work2 creditsU, G
UPG2Computer-based hand-in assignments2 creditsU, G
DAT1Computer examination2 creditsU, 3, 4, 5
The course only gives the grades Fail/Pass.

Grades

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

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ahmed Rezine

Examiner

Erik Nilsson

Education components

Preliminary scheduled hours: 52 h
Recommended self-study hours: 108 h

Course literature

Kursspecifik version av OpenDSA. Laborationskompendium och annat material finns på kursens webbsidor.
Code Name Scope Grading scale
UPG1 Voluntary assignment 0 credits U, G
LAB1 Laboratory Work 2 credits U, G
UPG2 Computer-based hand-in assignments 2 credits U, G
DAT1 Computer examination 2 credits U, 3, 4, 5
The course only gives the grades Fail/Pass.
Kursspecifik version av OpenDSA. Laborationskompendium och annat material finns på kursens webbsidor.

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)

                            
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

                            
2.2 Experimentation, investigation, and knowledge discovery

                            
2.3 System thinking

                            
2.4 Attitudes, thought, and learning

                            
2.5 Ethics, equity, and other responsibilities

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork

                            
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

                            
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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