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Data Structures, 6 credits
Datastrukturer, 6 hp
TND004
Main field of study
Computer Science and Engineering Media Technology and EngineeringCourse level
First cycleCourse type
Programme courseExaminer
Aida NordmanDirector of studies or equivalent
Camilla ForsellEducation components
Preliminary scheduled hours: 60 hRecommended 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 2026) | 2 | 3 | Swedish | Norrköping, Norrköping | E |
| 6CMEN | Media Technology and Engineering, Master of Science in Engineering | 6 (Spring 2026) | 2 | 3 | Swedish | Norrköping, Norrköping | C |
The course syllabus is preliminary
Main field of study
Computer Science and Engineering, Media Technology and EngineeringCourse level
First cycleAdvancement level
G2FCourse offered for
- Master of Science in Media Technology and Engineering
- Master of Science in Electronics Design Engineering
Prerequisites
Programming in C++, mathematical concepts like series from Calculus II
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, considering efficient use of time and memory. Upon completion of the course the student should fulfill the following learning outcomes.
- To understand fundamental data structures concepts.
- To apply data structures to solve computational problems considering given requirements.
- To analyze and evaluate various data structures in solving computational problems with respect to efficiency and appropriateness.
- 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 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
| 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 January after the course is completed).
Grades for examination modules are decided in accordance with the assessment criteria presented at the start of the course.
Grades
Four-grade scale, LiU, U, 3, 4, 5Other 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 such a way that there are equal opportunities with regard to sex, transgender identity or expression, ethnicity, religion or other belief, disability, sexual orientation and age.
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.
The course is campus-based at the location specified for the course, unless otherwise stated under “Teaching and working methods”. Please note, in a campus-based course occasional remote sessions could be included.
Department
Institutionen för teknik och naturvetenskapCourse 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 January after the course is completed).
Grades for examination modules are decided in accordance with the assessment criteria presented at the start of the course.
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) |
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X
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| 1.2 Fundamental engineering knowledge (G1X level) |
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| 1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
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X
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X
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LAB1
TEN1
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| 1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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| 1.5 Insight into current research and development work |
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| 2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
| 2.1 Analytical reasoning and problem solving |
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X
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X
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LAB1
TEN1
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| 2.2 Experimentation, investigation, and knowledge discovery |
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X
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X
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LAB1
TEN1
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| 2.3 System thinking |
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X
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X
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LAB1
TEN1
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| 2.4 Attitudes, thought, and learning |
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X
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X
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LAB1
TEN1
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| 2.5 Ethics, equity, and other responsibilities |
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X
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X
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LAB1
TEN1
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| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
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X
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LAB1
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| 3.2 Communications |
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X
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LAB1
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| 3.3 Communication in foreign languages |
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| 4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
| 4.1 External, societal, and environmental context |
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| 4.2 Enterprise and business context |
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| 4.3 Conceiving, system engineering and management |
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| 4.4 Designing |
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| 4.5 Implementing |
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| 4.6 Operating |
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| 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 |
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| 5.2 Economic conditions for knowledge development |
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| 5.3 Identification of needs, structuring and planning of research or development projects |
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| 5.4 Execution of research or development projects |
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| 5.5 Presentation and evaluation of research or development projects |
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