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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 2021) | 2 | 3 | Swedish | Norrköping, Norrköping | E |
| 6CMEN | Media Technology and Engineering, Master of Science in Engineering | 6 (Spring 2021) | 2 | 3 | Swedish | Norrköping, Norrköping | C |
Main field of study
Computer Science and Engineering, Media Technology and EngineeringCourse level
First cycleAdvancement level
G2XCourse offered for
- Master of Science in Electronics Design Engineering
- Master of Science in Media Technology and 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
| 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).
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 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 naturvetenskapDirector of Studies or equivalent
Camilla ForsellExaminer
Aida NordmanCourse website and other links
http://weber.itn.liu.se/~aidvi05/courses/14/index.htmlhttp://weber.itn.liu.se/~aidvi05/courses/14/Course_info.pdfEducation components
Preliminary scheduled hours: 60 hRecommended self-study hours: 100 h
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) |
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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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