IT-Universitetet i København
 
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Kursusbeskrivelse
Kursusnavn (dansk):Introduktion til databasedesign 
Kursusnavn (engelsk):Introduction to Database Design 
Semester:Efterår 2013 
Udbydes under:Bachelor i softwareudvikling (bswu) 
Omfang i ECTS:7,50 
Kursussprog:Dansk 
Kursushjemmeside:https://learnit.itu.dk 
Min. antal deltagere:12 
Forventet antal deltagere:65 
Maks. antal deltagere:75 
Formelle forudsætninger:This course assumes basic ability to use a computer. We also assume that students have basic programming skills (e.g. in Java), or is taking an introductory programming course in parallel. This can be obtained by taking the course Grundlæggende programmering med projekt on the IT University B.Sc.-degree in Software Development.
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Information om studiestruktur
Dette kursus indgår på tredje semester på bacheloruddannelsen i softwareudvikling. 
Læringsmål:After the course the students should be able to:
  • suggest a database design according to the relational model, and present it as an SQL schema, using the concepts key, type, and constraint.
  • define a database design by E-R modelling, using the concepts entity, attribute, key, cardinality, and relationship.
  • write SQL queries, involving multiple relations, compound conditions, grouping,
    aggregation, and subqueries.
  • find functional dependencies in a relation and perform decomposition to eliminate unwanted dependencies.
  • decide if a given index is likely to improve performance for a given query.
  • identify possible problems in transaction handling, related to consistency, atomicity, and isolation.
  • use SQL in an imperative programming language (Java).
  • suggest a conceptual and physical design of an OLAP system.
  • suggest an abstract model suitable for a given data mining task.
  • formulate an analytics task as a sequence of operations on a stream, or in the MapReduce framework.
 
Fagligt indhold:The course gives an introduction to relational databases as well as an introduction to data analytics, both from a practical and theoretical point of view.

The main part of the course deals with relational databases, including theory and practice for modeling and quering a database. Towards the end of the course the focus will be on techniques for analyzing and mining data sets.

For relational databases the following topics will be covered:
  • Programming in SQL, including all basic operations as well as some more advanced constructions (e.g. subqueries)
  • Database design using E-R modelling
  • Defining a database design using the relational model and SQL schemas
  • Normalization of relations
  • Use of different indexes, including hash indexes, B-tree indexes, non-clustered and clustered indexes
  • Transaction handling
  • Using SQL in applications, e.g. Java-applications
  • Other basic concepts related to relational databases and SQL, such as triggers, views etc.

For data analytics the following topics will be covered:
  • OLAP and data warehousing
  • Data mining problems such as clustering, finding association rules, and building decision trees.
  • Infrastructures for handling massive analysis tasks, such as distributed computation, and computations on data streams.
 
Læringsaktiviteter:12 forelæsninger og 12 øvelsesgange

The textbook, lectures and exam are in English. However, written work and the exam can be delivered by students in English or Danish.

4 mandatory assignments must be handed in before xxx for students to be eligible for the exam. Three of the assignments are to be done in groups. 

Obligatoriske aktivititer:During this course students will be required to hand in mandatory assignments that need to be completed/approved before being eligible to register for the examination and e.g. being allowed to submit written work for examination. Failure to hand in these mandatory assignments on time will mean that the registration for examination is annulled.

These mandatory assignment (deadlines are posted separately, e.g. on the course blog) 
Eksamensform og -beskrivelse:X. experimental examination form (7-scale; external exam), 7-trins-skala, Ekstern censur

Restrictions:

1. Physical copies of the book and other printed materials are permitted.
2. Ebooks on laptops, ipads, and other e book readers are permitted.
3. Cell phones are *not* permitted.
4. It will *not* be permitted that you access any other other information from the internet, including newsgroups, social media, email, facebook twitter, etc. or elsewhere that is not in book form.


The duration of the written examination is 4 hour(s).

Submission/completion of mandatory activities before xxx  

Litteratur udover forskningsartikler:Database Management Systems
3rd Edition (International Edition)
by Raghu Ramakrishnan and Johannes Gehrke
McGraw-Hill Higher Education
ISBN-10: 0071230572 
 
Afholdelse (tid og sted)
Kurset afholdes på følgende tid og sted:
UgedagTidspunktForelæsning/ØvelserStedLokale
Mandag 08.00-09.50 Forelæsning ITU Aud 2
Mandag 10.00-11.50 Forelæsning ITU Aud 2

Eksamen afholdes på følgende tid og sted:
EksamensdatoTidspunktEksamenstypeStedLokale
2014-01-10 9:00-13:00 Skriftlig eksamen ITU Students first names from A to L - room 3A12/3A14
2014-01-10 9:00-13:00 Skriftlig eksamen ITU Students first names from M to Z - room 4A14/4A16