Lehrveranstaltung
Vorlesung Intelligente CRM Architekturen
Inhalt
Die Lehrveranstaltung besteht aus drei Teilen:
Im ersten Teil wird die Entwicklung von Architekturen und die dafür notwendigen Methoden behandelt (Systemanalyse, UML, formale Definition von Schnittstellen, Software- und Analyse Pattern, Trennung in konzeptuelle und IT-Architekturen). Der zweite Teil ist lernenden Architekturen und maschinellen Lernverfahren gewidmet. Im dritten Teil werden Beispiele für lernende CRM-Architekturen vorgestellt.Veranstaltungstermine
|
Time |
Inhalt |
|
25.10.2016, 09:45 - 11:15 |
Introduction |
25.10.2016, 11:15 - 13:00 |
The Taste Map Architecture |
15.11.2016, 09:45 - 11:15 |
Architecture Elements: Module Views |
15.11.2016, 11:15 - 13:00 |
Architecture Elements: Component and Connector Views + Allocation Views |
22.11.2016, 09:45 - 11:15 |
Interfaces, Languages, and Patterns |
29.11.2016, 09:45 - 11:15 |
Agents |
06.12.2016, 09:45 - 11:15 |
Genetic Machine Learning I |
13.12.2016, 09:45 - 11:15 |
Genetic Machine Learning II |
20.12.2016, 09:45 - 11:15 |
Genetic Machine Learning III |
10.01.2017, 09:45 - 11:15 |
Sequential Bayesian Learning |
17.01.2017, 09:45 - 11:15 |
Statistical Learning Theory and Support Vector Machines |
24.01.2017, 09:45 - 11:15 |
Gamification: An Architecture for Management (and Other) Games |
31.01.2017, 09:45 - 11:15 |
An Architecture for Counting Services |
07.02.2017, 09:45 - 11:15 |
Reserved |
Vorlesungsmaterialien
|
Inhalt |
Autor |
|
Intelligent CRM Architecture: Introduction |
Geyer-Schulz, Andreas |
|
The Taste Map Architecture |
Geyer-Schulz, Andreas |
|
Architecture Elements |
Geyer-Schulz, Andreas |
|
Architecture Elements: Module Views |
Geyer-Schulz, Andreas |
|
Architecture Elements: Component and Connector Views |
Geyer-Schulz, Andreas |
|
Architecture Elements: Allocation Views |
Geyer-Schulz, Andreas |
|
Interfaces, Languages, and Patterns |
Geyer-Schulz, Andreas |
|
Learning Architecture |
Geyer-Schulz, Andreas |
|
Genetic Machine Learning |
Geyer-Schulz, Andreas |
|
Sequential Bayesian Learning |
Geyer-Schulz, Andreas |
|
Statistical Learning Theory and Support Vector Machines |
Geyer-Schulz, Andreas |
|
An Architecture for Counting Services |
Geyer-Schulz, Andreas |
|
Gamification: An Architecture for Management (and Other) Games |
Geyer-Schulz, Andreas |
|