Data Structures, 6 credits

Datastrukturer, 6 hp

TND004

Main field of study

Computer Science and Engineering Media Technology and Engineering

Course level

First cycle

Course type

Programme course

Examiner

Aida Nordman

Director of studies or equivalent

Camilla Forsell

Education components

Preliminary scheduled hours: 60 h
Recommended self-study hours: 100 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CIEN Electronics Design Engineering, Master of Science in Engineering 6 (Spring 2022) 2 3 Swedish Norrköping E
6CMEN Media Technology and Engineering, Master of Science in Engineering 6 (Spring 2022) 2 3 Swedish Norrköping C

Main field of study

Computer Science and Engineering, Media Technology and Engineering

Course level

First cycle

Advancement level

G2X

Course offered for

  • Master of Science in Media Technology and Engineering
  • Master of Science in Electronics Design Engineering

Prerequisites

Programming in C++

Intended learning outcomes

The aim of the course is to give students the tools to independently be able to create programs that solve practical problems dealing with large amounts of data, taking into account efficient use of time and memory. Upon completion of the course the student should fulfill the following learning outcomes.

  • To propose specific data structures and algorithms to address practical problems.
  • To motivate objectively the choices made, concerning chosen data structures, and relate to the known scientific results in the field.
  • To analyze the trade offs, regarding efficiency in several aspects, of different data structures proposed for addressing a practical problem.
  • To implement and use the data structures and algorithms in application programs.

Course content

Algorithm analysis. Recursion. Lists, stacks and queues. Trees and tree traversals. Binary search trees, threaded trees and balanced trees. Hashing and hash tables. Priority queues and binary heaps. Sorting och searching. Graphs and graph traversals. Fundamental graph algorithms.

Teaching and working methods

Lectures, lessons, and laboratory work.

Examination

UPG1Optional assignment0 creditsU, G
LAB1Laboratory work3 creditsU, G
TEN1Written examination3 creditsU, 3, 4, 5

The optional assignment consists of two quizzes. Results on the quizzes will give credits to the computer examination (and re-examination until the month of October after the course is completed). 

Grades

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

Other information

About teaching and examination language

The teaching language is presented in the Overview tab for each course. The examination language relates to the teaching language as follows: 

  • If teaching language is “Swedish”, the course as a whole could be given in Swedish, or partly in English. Examination language is Swedish, but parts of the examination can be in English.
  • If teaching language is “English”, the course as a whole is taught in English. Examination language is English.
  • If teaching language is “Swedish/English”, the course as a whole will be taught in English if students without prior knowledge of the Swedish language participate. Examination language is Swedish or English depending on teaching language.

Other

The course is conducted in a manner where both men's and women's experience and knowledge are made visible and developed. 

The planning and implementation of a course should correspond to the course syllabus. The course evaluation should therefore be conducted with the course syllabus as a starting point.  

If special circumstances prevail, the vice-chancellor may in a special decision specify the preconditions for temporary deviations from this course syllabus, and delegate the right to take such decisions.

Department

Institutionen för teknik och naturvetenskap

Course literature

Books

  • Mark Allen Weiss, (2013) Data Structure and Algorithm Analysis in C++ 4th Edition
Code Name Scope Grading scale
UPG1 Optional assignment 0 credits U, G
LAB1 Laboratory work 3 credits U, G
TEN1 Written examination 3 credits U, 3, 4, 5

The optional assignment consists of two quizzes. Results on the quizzes will give credits to the computer examination (and re-examination until the month of October after the course is completed). 

Books

Mark Allen Weiss, (2013) Data Structure and Algorithm Analysis in C++ 4th Edition

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)
X

                            
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
LAB1
TEN1

                            
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
LAB1
TEN1

                            
2.2 Experimentation, investigation, and knowledge discovery
X
X
LAB1
TEN1

                            
2.3 System thinking
X
X
LAB1
TEN1

                            
2.4 Attitudes, thought, and learning
X
X
LAB1
TEN1

                            
2.5 Ethics, equity, and other responsibilities
X
X
LAB1
TEN1

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X
LAB1

                            
3.2 Communications
X
LAB1

                            
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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