Karlsruhe Institute of TechnologyKarlsruhe Institute of Technology
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Course

Vorlesung Intelligent CRM Architectures

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Semester:Winter Term 2016
Lecturer:Prof. Dr. Andreas Geyer-Schulz;
Appointment:Dienstag 09:45 - 11:15
Location:Geb. 20.20, R. 167
SWS:2
Linked to:Übung Intelligent CRM Architectures (Exercise) Winter Term 2016

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Content

The lecture is structured in three parts: In the first part the methods used for archteucture design are introduced (system analysis, UML, formal specification of interfaces, software and analysis patterns, and the separation in conceptual and IT-architectures. The second part is dedicated to learning architectures and machine learning methods. The third part presents examples of learning CRM-Architectures.

Course dates

Time Content
10/25/2016, 09:45 - 11:15 Introduction
10/25/2016, 11:15 - 13:00 The Taste Map Architecture
11/15/2016, 09:45 - 11:15 Architecture Elements: Module Views
11/15/2016, 11:15 - 13:00 Architecture Elements: Component and Connector Views + Allocation Views
11/22/2016, 09:45 - 11:15 Interfaces, Languages, and Patterns
11/29/2016, 09:45 - 11:15 Agents
12/06/2016, 09:45 - 11:15 Genetic Machine Learning I
12/13/2016, 09:45 - 11:15 Genetic Machine Learning II
12/20/2016, 09:45 - 11:15 Genetic Machine Learning III
01/10/2017, 09:45 - 11:15 Sequential Bayesian Learning
01/17/2017, 09:45 - 11:15 Statistical Learning Theory and Support Vector Machines
01/24/2017, 09:45 - 11:15 Gamification: An Architecture for Management (and Other) Games
01/31/2017, 09:45 - 11:15 An Architecture for Counting Services
02/07/2017, 09:45 - 11:15 Reserved


Course material

Content Author
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