Intelligent CRM Architectures

Intelligent CRM Architectures

type:	Vorlesung (V)	links:	weitere Informationen
semester:	WS 17/18
time:	2017-10-18 09:45 - 11:15 wöchentlich 20.20 RZ Raum 167 20.20 Kollegiengebäude am Zirkel, Teil 1 weitere... 2017-10-25 09:45 - 11:15 wöchentlich 20.20 RZ Raum 167 20.20 Kollegiengebäude am Zirkel, Teil 1 2017-11-08 09:45 - 11:15 wöchentlich 20.20 RZ Raum 167 20.20 Kollegiengebäude am Zirkel, Teil 1 2017-11-15 09:45 - 11:15 wöchentlich 20.20 RZ Raum 167 20.20 Kollegiengebäude am Zirkel, Teil 1 2017-11-22 09:45 - 11:15 wöchentlich 20.20 RZ Raum 167 20.20 Kollegiengebäude am Zirkel, Teil 1 2017-11-29 09:45 - 11:15 wöchentlich 20.20 RZ Raum 167 20.20 Kollegiengebäude am Zirkel, Teil 1 2017-12-06 09:45 - 11:15 wöchentlich 20.20 RZ Raum 167 20.20 Kollegiengebäude am Zirkel, Teil 1 2017-12-13 09:45 - 11:15 wöchentlich 20.20 RZ Raum 167 20.20 Kollegiengebäude am Zirkel, Teil 1 2017-12-20 09:45 - 11:15 wöchentlich 20.20 RZ Raum 167 20.20 Kollegiengebäude am Zirkel, Teil 1 2018-01-10 09:45 - 11:15 wöchentlich 20.20 RZ Raum 167 20.20 Kollegiengebäude am Zirkel, Teil 1 2018-01-17 09:45 - 11:15 wöchentlich 20.20 RZ Raum 167 20.20 Kollegiengebäude am Zirkel, Teil 1 2018-01-24 09:45 - 11:15 wöchentlich 20.20 RZ Raum 167 20.20 Kollegiengebäude am Zirkel, Teil 1 2018-01-31 09:45 - 11:15 wöchentlich 20.20 RZ Raum 167 20.20 Kollegiengebäude am Zirkel, Teil 1 2018-02-07 09:45 - 11:15 wöchentlich 20.20 RZ Raum 167 20.20 Kollegiengebäude am Zirkel, Teil 1
lecturer:	Prof. Dr. Andreas Geyer-Schulz
sws:	2
lv-no.:	<a target="lvn" href="https://campus.studium.kit.edu/events/ibySH59bTR2oy0B8hm4u2Q">2540525</a>

Bibliography	P. Clements et al., Documenting Software Architectures. Views and Beyond. Upper Saddle River: Addison-Wesley, 2011. M. Fowler, Patterns of Enterprise Application Architecture. Amsterdam: Addison-Wesley Longman, 2002. S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 3rd ed. Harlow Essex England: Pearson New International Edition, 2014. V. N. Vapnik, The Nature of Statistical Learning Theory. New York: Springer, 1995.
Content of teaching	The lecture is structured in three parts: In the first part the methods used for architecture 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.
Workload	The total workload for this course is approximately 135 hours (4.5 credits): Time of attendance Attending the lecture: 15 x 90min = 22h 30m Attending the exercise classes: 7 x 90min = 10h 30m Examination: 1h 00m Self-study Preparation and wrap-up of the lecture: 15 x 180min = 45h 00m Preparing the exercises: 25h 00m Preparation of the examination: 31h 00m Sum: 135h 00m
Aim	Students have special knowledge of software architectures and of the methods which are used in their development (Systems analysis, formal methods for the specification of interfaces and algebraic semantic, UML, and, last but not least, the mapping of conceptual architectures to IT architectures. Students know important architectural patterns and they can – based on their CRM knowledge – combine these patterns for innovative CRM applications.
Exam description	Assessment consists of a written exam of 1 hour length following §4 (2), 1 of the examination regulation and by submitting written papers as part of the exercise following §4 (2), 3 of the examination regulation. The course is considered successfully taken, if at least 50 out of 100 points are acquired in the written exam. In this case, all additional points (up to 10) from excersise work will be added. Grade: Minimum points 1,0: 95 1,3: 90 1,7: 85 2,0: 80 2,3: 75 2,7: 70 3,0: 65 3,3: 60 3,7: 55 4,0: 50 5,0: 0 The grade consists of approximately 91% of exam points and 9% of exercise points.