Karlsruhe Institute of TechnologyKarlsruhe Institute of Technology

Lehrveranstaltung

Vorlesung Intelligente CRM Architekturen

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Semester:Wintersemester 2019
Dozenten:Prof. Dr. Andreas Geyer-Schulz;
Termin:Mittwoch 14:00 - 15:30
Ort:20.30 SR -1.015 (UG)
SWS:2
Verlinkt mit:Übung Intelligente CRM Architekturen (Übung) Wintersemester 2019

Teilnehmen

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Inhalt

This course is mainly managed through Ilias! Additional literature on the different topics can be found here.

Veranstaltungstermine

Time Inhalt
16.10.2019, 14:00 - 15:30 Introduction
23.10.2019, 14:00 - 15:30 The Taste Map Architecture
23.10.2019, 15:45 - 17:15 Architecture Elements: Module Views
06.11.2019, 14:00 - 15:30 Architecture Elements: Module Views
13.11.2019, 14:00 - 15:30 Architecture Elements: Module Views
20.11.2019, 14:00 - 15:30 Architecture Elements: Module Views
27.11.2019, 14:00 - 15:30 Architecture Elements: Module Views
04.12.2019, 14:00 - 15:30 Architecture Elements: Component and Connector Views
11.12.2019, 14:00 - 15:30 Architecture Elements: Component and Connector Views
18.12.2019, 14:00 - 15:30 Learning Architectures/Agents
08.01.2020, 14:00 - 15:30 Sequential Bayesian Learning/Kalman Filter
15.01.2020, 14:00 - 15:30 Statistical Learning Theory and Support Vector Machines
22.01.2020, 14:00 - 15:30
29.01.2020, 14:00 - 15:30
05.02.2020, 14:00 - 15:30


Vorlesungsmaterialien

Inhalt Autor
Intelligent CRM Architecture: Introduction Geyer-Schulz, Andreas
The Taste Map Architecture Geyer-Schulz, Andreas
Architecture Elements (Single file. Old) Geyer-Schulz, Andreas
Intelligent CRM Architecture: Views and Styles. An Overview of Architecture Elements Geyer-Schulz, Andreas
Architecture Elements: Module Views Geyer-Schulz, Andreas
Architecture Elements: Component and Connector View Geyer-Schulz, Andreas
Architecture Elements: Component and Connector Styles Geyer-Schulz, Andreas
Architecture Elements: Allocation View Geyer-Schulz, Andreas
Interfaces, Languages, and Patterns Geyer-Schulz, Andreas
Learning Architecture Geyer-Schulz, Andreas
Genetic Machine Learning Geyer-Schulz, Andreas
Genetic Programming 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