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Data Structures and Algorithms, 6 credits
Datastrukturer och algoritmer, 6 hp
TDDE22
Main field of study
Computer Science and EngineeringCourse level
First cycleCourse type
Programme courseExaminer
Erik NilssonDirector of studies or equivalent
Ahmed RezineEducation components
Preliminary scheduled hours: 52 hRecommended self-study hours: 108 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.
Examination
| UPG1 | Voluntary assignment | 0 credits | U, G |
| LAB1 | Laboratory Work | 2 credits | U, G |
| UPG2 | Computer-based hand-in assignments | 2 credits | U, G |
| DAT1 | Computer examination | 2 credits | U, 3, 4, 5 |
The course only gives the grades Fail/Pass.
Grades
Four-grade scale, LiU, U, 3, 4, 5Department
Institutionen för datavetenskapDirector of Studies or equivalent
Ahmed RezineExaminer
Erik NilssonEducation components
Preliminary scheduled hours: 52 hRecommended self-study hours: 108 h
Course literature
Kursspecifik version av OpenDSA. Laborationskompendium och annat material finns på kursens webbsidor.| Code | Name | Scope | Grading scale |
|---|---|---|---|
| UPG1 | Voluntary assignment | 0 credits | U, G |
| LAB1 | Laboratory Work | 2 credits | U, G |
| UPG2 | Computer-based hand-in assignments | 2 credits | U, G |
| DAT1 | Computer examination | 2 credits | U, 3, 4, 5 |
The course only gives the grades Fail/Pass.
Course literature is preliminary.
Kursspecifik version av OpenDSA.
Laborationskompendium och annat material finns på kursens webbsidor.
Note: The course matrix might contain more information in Swedish.
I = Introduce, U = Teach, A = Utilize
| I | U | A | Modules | Comment | ||
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| 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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| 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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| 2.2 Experimentation, investigation, and knowledge discovery |
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| 2.3 System thinking |
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| 2.4 Attitudes, thought, and learning |
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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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| 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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There are no files available for this course.