Trends and Concepts Exercise: Developing In-Memory Applications (Sommersemester 2016)
Dozent:
Dr. Matthias Uflacker
Tutoren:
Christian Schwarz
Martin Boissier
Allgemeine Information
- Semesterwochenstunden: 4
- ECTS: 6
- Benotet:
Ja
- Einschreibefrist: 22.04.2016
- Lehrform: Projektseminar
- Belegungsart: Wahlpflichtmodul
Studiengänge, Modulgruppen & Module
- Business Process & Enterprise Technologies
- Operating Systems & Information Systems Technology
- Software Architecture & Modeling Technology
- IT-Systems Engineering A
- IT-Systems Engineering B
- IT-Systems Engineering C
- IT-Systems Engineering D
Beschreibung
Latest: The mid-term presentation will take place on 24.05.2016
The Seminar
Within the seminar, small groups of students will define and develop enterprise applications leveraging in-memory database technology. Each group will have access to an in-memory database with real-world and simulated data. Using that data set the groups are free to choose what approach they will eventually implement in order to build the best possible solution for their individual challenge.
This year the students will be challenged with the detection of fraud on a large scale, real world enterprise dataset of a platform for online vehicle markets. The students will get guidance on machine learning classification and regression techniques. These will be used in the project.
During the seminar, the student teams will be supervised in individual sessions.
Literatur
Leistungserfassung
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Part
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Valuation in %
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Type
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Presentations (Mid-term / Final)
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30 (10 / 20)
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Personal grade
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Results
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30
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Personal grade
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Documentation (+ Screencast)
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30
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Personal grade
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General participation in the seminar
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10
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Personal grade
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Termine
- Seminar Introduction: 12.04.2015 - 3:15 PM (House D, E.9/10)
- First Meeting and Use-case presentation: 19.04.2015 - 3:15 PM (House D, E.9/10)
- Topic Deep Dive: 26.04.2016
- Mid-Term Presentation: 24.05.2016 - 4 PM (Villa, V2.16)
- Final Presentation: 12.07.2016 (Villa, V2.16)
- Screencast and Documentation: 15.08.2016 (tbd)
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