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(03 July 2008) Final results of the exam are available here. (use n.ethz account data for access)
On May 23, there will be a guest lecture by Helsana. They will report on their data warehouse project and give experience and business cases. We will meet at 9:15 am, in our regular lecture hall: CAB, G 51. We will not meet at Helsana!
The exam will take place on May 30 from 9am - 11am in CAB G51 (regular time, regular lecture hall).
You may bring to the exam your print-outs of the lecture slides. If your print-outs of the slides contain annotations, those annotations will be allowed. Therefore, you do not need to make a fresh print-out. Except for the print-outs of the lecture slides, you are NOT allowed to bring any material (books, notes, exercise sheets, etc) to the exam.
You will have 60 minutes to solve the exam.
This course presents the principles of decision support systems and so-called online-analytic processing (OLAP). The course will cover the following topics:
1. Motivation and Architecture
2. Modelling for OLAP: Star Schemas and Snow Flake Schemas
3. SQL Extensions for Decision Support (Cube, Aggregation sets, Pivot, etc.)
4. Demo of a Business Intelligence Tool (BTell)
5. Implementation Techniques (bitmap indexes, materialized views, star joins, ...)
6. Query optimization on virtual databases (federated, heterogeneous databases)
7. Data mining (classification trees, association rule mining, outlier detection)
8. Data cleaning, identity reconciliation
9. Probabilistic databases, data lineage
10. Dataspace Management
11. Industry talks
Articles of the research literature on databases and information systems (e.g., SIGMOD and VLDB). Exact references will be given in the lecture notes.
The exam will be on May 30 from 9am to 11am (during the regular slot of the lecture).
Lecture: 2V1U, Fridays 9-11 in CAB G 51
Exercises: 1st group on Fridays 11-12 in CAB G59, 2nd group on Fridays 12-13 in CAB G59
Exercise Sheet 1 Solutions to 1.1 and 1.2 Solutions to 1.4.1 Solutions to 1.4.2
Exercise Sheet 2 Solutions to sheet 2
Exercise Sheet 3 Solutions to 3.1 and 3.2 Solutions to 3.3
Exercise Sheet 4 Solutions to sheet 4
Exercise Sheet 5 Solutions to sheet 5
Exercise Sheet 6 Solutions to sheet 6
Exercise Sheet 7 Solutions to sheet 7 PowerPoint Slides
English
ISG (Introduction to database systems, ER/UML modelling, normalization, SQL). Architecture & Implementation of Database Systems course is very helpful.
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