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
Course offered for Semester Period Timetable module Language Campus ECV
6CIEN Electronics Design Engineering, M Sc in Engineering 6 (Spring 2020) 2 3 Swedish Norrköping E
6CMEN Media Technology and Engineering, M Sc in Engineering 6 (Spring 2020) 2 3 Swedish Norrköping C
ECV = Elective / Compulsory / Voluntary

Main field of study

Computer Science and Engineering, Media Technology and Engineering

Course level

First cycle

Advancement level

G2X

Course offered for

  • Electronics Design Engineering, M Sc in Engineering
  • Media Technology and Engineering, 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.

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. Indexed files. Graphs and graph traversals. Fundamental graph algorithms.

Teaching and working methods

Lectures, lessons, and laboratory work.

Examination

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

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 or in large parts, is taught in Swedish. Please note that although teaching language is Swedish, parts of the course could be given in English. Examination language is Swedish. 
  • 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). 
  • If teaching language is English, the course as a whole is taught in English. Examination language is English. 

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.  

Department

Institutionen för teknik och naturvetenskap

Director of Studies or equivalent

Camilla Forsell

Examiner

Aida Nordman

Course website and other links

http://weber.itn.liu.se/~aidvi05/courses/14/index.htmlhttp://weber.itn.liu.se/~aidvi05/courses/14/Course_info.pdf

Education components

Preliminary scheduled hours: 60 h
Recommended self-study hours: 100 h

Course literature

Data Structure and Algorithm Analysis in C++, Mark Allen Weiss, Addison Wesley, 4th edition, year 2014.
Code Name Scope Grading scale
TEN1 Written examination 3 credits U, 3, 4, 5
LAB1 Laboratory work 3 credits U, G
UPG1 Optional assignment 0 credits U, G

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). 

Data Structure and Algorithm Analysis in C++, Mark Allen Weiss, Addison Wesley, 4th edition, year 2014.

Note: The course matrix is not fully translated to English.

I U A Modules Comment
1. ÄMNESKUNSKAPER
1.1 Kunskaper i grundläggande matematiska och naturvetenskapliga ämnen
1.2 Kunskaper i grundläggande (motsvarande G1X) teknikvetenskapliga ämnen
1.3 Fördjupade kunskaper (motsvarande G2X), metoder och verktyg inom något/några teknik- och naturvetenskapliga ämnen
X
X
LAB1
TEN1
1.4 Väsentligt fördjupade kunskaper (motsvarande A1X), metoder och verktyg inom något/några teknik- och naturvetenskapliga ämnen
1.5 Insikt i aktuellt forsknings- och utvecklingsarbete
2. INDIVIDUELLA OCH YRKESMÄSSIGA FÄRDIGHETER OCH FÖRHÅLLNINGSSÄTT
2.1 Analytiskt tänkande och problemlösning
X
X
LAB1
TEN1
2.2 Experimenterande och undersökande arbetssätt samt kunskapsbildning
X
X
LAB1
TEN1
2.3 Systemtänkande
X
X
LAB1
TEN1
Think about solutions to practical problems in a creative way
2.4 Förhållningssätt, tänkande och lärande
X
X
LAB1
TEN1
2.5 Etik, likabehandling och ansvarstagande
X
X
LAB1
TEN1
Implement and use suitable standard data structures and algorithms
3. FÖRMÅGA ATT ARBETA I GRUPP OCH ATT KOMMUNICERA
3.1 Arbete i grupp
LAB1
3.2 Kommunikation
LAB1
3.3 Kommunikation på främmande språk
4. PLANERING, UTVECKLING, REALISERING OCH DRIFT AV TEKNISKA PRODUKTER OCH SYSTEM MED HÄNSYN TILL AFFÄRSMÄSSIGA OCH SAMHÄLLELIGA BEHOV OCH KRAV
4.1 Samhälleliga villkor, inklusive ekonomiskt, socialt och ekologiskt hållbar utveckling för kunskapsutveckling
4.2 Företags- och affärsmässiga villkor
4.3 Att identifiera behov samt strukturera och planera utveckling av produkter och system
4.4 Att konstruera produkter och system
4.5 Att realisera produkter och system
4.6 Att ta i drift och använda produkter och system
5. PLANERING, GENOMFÖRANDE OCH PRESENTATION AV FORSKNINGS- ELLER UTVECKLINGSPROJEKT MED HÄNSYN TILL VETENSKAPLIGA OCH SAMHÄLLELIGA BEHOV OCH KRAV
5.1 Samhälleliga villkor, inklusive ekonomiskt, socialt och ekologiskt hållbar utveckling
5.2 Ekonomiska villkor för kunskapsutveckling
5.3 Att identifiera behov samt strukturera och planera forsknings- eller utvecklingsprojekt
5.4 Att genomföra forsknings- eller utvecklingsprojekt
5.5 Att redovisa och utvärdera forsknings- eller utvecklingsprojekt

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