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Data Structures and Algorithms, 2 credits
Datastrukturer och algoritmer, 2 hp
TDDD71
Main field of study
Computer Science and EngineeringCourse level
First cycleCourse type
Programme courseExaminer
Christer BäckströmDirector of studies or equivalent
Ahmed RezineEducation components
Preliminary scheduled hours: 22 hRecommended self-study hours: 31 h
ECV = Elective / Compulsory / Voluntary
Main field of study
Computer Science and EngineeringCourse level
First cycleAdvancement level
G2XCourse 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.
Prerequisites
Programming in Java, basic course in data structures and algorithms.Intended learning outcomes
After completing the course, the student shall be able to use, explain and analyze data structures and algorithms for representing maps and dictionaries as well as data structures and basic algorithms for graphs.
The further studies in data structures and algorithms shall give the student the opportunity to choose courses from the D and IT programs in year 4.
Course content
Data structures:
- Advanced tree structures
- Hash tables
- Skip lists
- Graphs
- Algorithms for balancing search trees
- Graph algorithms
Teaching and working methods
Lectures present the theory. Laboratory assignments are mainly computer based, but comprise some small written parts, and integrates theory and gives practical skill.
Examination
| LAB1 | Lab course | 2 credits | U, G |
The course only gives the grades Fail/Pass.
Grades
Two-grade scale, U, GOther information
| Supplementary courses: Software Engineering |
Department
Institutionen för datavetenskapDirector of Studies or equivalent
Ahmed RezineExaminer
Christer BäckströmCourse website and other links
http://www.ida.liu.se/~TDDD71/Education components
Preliminary scheduled hours: 22 hRecommended self-study hours: 31 h
Course literature
Additional literature
Books
- Michael T. Goodrich, Roberto Tamassia, Data Structures and Algorithms in Java
| Code | Name | Scope | Grading scale |
|---|---|---|---|
| LAB1 | Lab course | 2 credits | U, G |
The course only gives the grades Fail/Pass.
Regulations (apply to LiU in its entirety)
The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.
LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.
Course literature is preliminary.
Additional literature
Books
Michael T. Goodrich, Roberto Tamassia, Data Structures and Algorithms in Java
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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| 1.2 Fundamental engineering knowledge (G1X level) |
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LAB1
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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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| 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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LAB1
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| 2.2 Experimentation, investigation, and knowledge discovery |
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LAB1
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| 2.3 System thinking |
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| 2.4 Attitudes, thought, and learning |
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LAB1
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| 2.5 Ethics, equity, and other responsibilities |
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| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
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LAB1
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| 3.2 Communications |
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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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