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Database Technology, 6 credits
Databasteknik för kandidatprojekt, 6 hp
TDDD81
Main field of study
Computer Science and EngineeringCourse level
First cycleCourse type
Programme courseExaminer
Jose M. PenaDirector of studies or equivalent
Patrick LambrixEducation components
Preliminary scheduled hours: 42 hRecommended self-study hours: 118 h
ECV = Elective / Compulsory / Voluntary
Main field of study
Computer Science and EngineeringCourse level
First cycleAdvancement level
G2XCourse offered for
- Industrial Engineering and Management - International, M Sc in Engineering
- Industrial Engineering and Management, 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
Basic programming as well as data structures and algorithms.Intended learning outcomes
The aim of this course is to give a thorough introduction to the theoretical and practical issues underlying the design and implementation of modern database systems. After the completion of the course you should be able to:
- explain and use important terminology in text-based information management in a correct way.
- design a data model using EER diagrams.
- design and use a relational database.
- explain the theory behind the relational model and how this affects good design of databases.
- explain which file structures in the database management system can be used to implement a database system.
- explain the basic principles for indexing a database.
- explain which problems can occur when several users use the database and solutions to this.
- explain how a database can guarantee persistence of data.
Course content
Principles for general database management systems: DBMS, Methods for
database design and use. Datamodelling with ER, Relational databases,
Datastructures for databases, SQL, Relational algebra, query optimization, transactions, serialisation, concurrency.
Teaching and working methods
The course consists of lectures, laboratory work and a project. Lectures are devoted to theory and techniques. Database design and implementation techniques are practised in the laboratory work.
Examination
| LAB1 | Laboratory work | 3 credits | U, G |
| TEN1 | Written examination | 3 credits | U, 3, 4, 5 |
Grades
Four-grade scale, LiU, U, 3, 4, 5Other information
Supplementary courses:
Advanced Data Models and Databases; data mining
Department
Institutionen för datavetenskapDirector of Studies or equivalent
Patrick LambrixExaminer
Jose M. PenaEducation components
Preliminary scheduled hours: 42 hRecommended self-study hours: 118 h
Course literature
Elmasri, R. and Navathe, S. B. Fundamentals of Database Systems, 3e, 4e, 5e eller 6e upplaga, Addison Wesley. OBS: Den 6e upplagans titel är: Database Systems - Models, Languages, Design, and Application Programming.| Code | Name | Scope | Grading scale |
|---|---|---|---|
| LAB1 | Laboratory work | 3 credits | U, G |
| TEN1 | Written examination | 3 credits | U, 3, 4, 5 |
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.
Elmasri, R. and Navathe, S. B. Fundamentals of Database Systems, 3e, 4e, 5e eller 6e upplaga, Addison Wesley.
OBS: Den 6e upplagans titel är: Database Systems - Models, Languages, Design, and Application Programming.
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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X
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X
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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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X
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X
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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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| 2.3 System thinking |
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X
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X
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| 2.4 Attitudes, thought, and learning |
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X
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X
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| 2.5 Ethics, equity, and other responsibilities |
X
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| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
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X
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| 3.2 Communications |
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X
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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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X
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X
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| 4.4 Designing |
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X
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X
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| 4.5 Implementing |
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X
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X
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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 |
X
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| 5.5 Presentation and evaluation of research or development projects |
X
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