Masterstudium Business Informatics - Fakultät für Informatik, TU Wien

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Lectures of 3 Ects in the module TSK/FEL Free Electives Lectures of 3 Ects in the module TSK/SOS Social Skills A specialization module of 6 Ects 3. Semester (WS) 6.0/4.0 VU KBS for Business Informatics 6.0/4.0 VU Business Intelligence 30.0/15.0 PR Master Thesis A specialization module of 6 Ects 4. Semester (SS) 3.0/2.0 SE Seminar for Master Students 30.0/15.0 PR Master Thesis Lectures of 3 Ects in the module TSK/FEL Free Electives A specialization module of 6 Ects 88
1.Sem WS 2.Sem SS 3.Sem WS 4.Sem SS Time Schedule for Master of Business Informatics INT/ASE Advanced Software Engineering LU INT/MEN Model Engineering VU BIN/MOS Modelling and Simulation VU BIN/BEN E-Commerce VU BAE/MGT IT-based Management VU TSK/FEL Free Electives TSK/SOS Social Skills BIN/BEN Workflow Modelling and Process Management VU BIN/BEN Innovation VU FMF/QOM Econometrics for Business Informatics VU FMF/QOM Model-based Decision Support VU BAE/INE Information Economics VO BAE/INE Computational Social Simulation VU FMF/KBS KBS for Business Informatics VU BIN/BEN Business Intelligence VU TSK/FEL Free Electives MTD Seminar for Master Students SE MTD Master Thesis PR MTD Defense BAE/MGT Human Resource Management & Leadership VO BAE/MGT International Negotiations VU Specialization Track Specialization Track Specialization Track D. Semestereinteilung für schiefeinsteigende Studierende 1. Semester (SS) 3.0/2.0 VU Workow Modeling and Process Management 3.0/2.0 VU Innovation 89
Page 1 and 2:
Studienplan (Curriculum) für das M
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Inhaltsverzeichnis 1. Grundlage und
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• IT-supported enterprise managem
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des Bachelorstudiums Wirtschaftsinf
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SIT/DS2 - Technologies for Distribu
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implement solutions. Topics are pre
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SBA/FR1 - Advanced Financial and Ri
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mantic Web vision and basic underst
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groups of 24 students. SIT/DS3 - Ne
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e systems. Dening characteristics o
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9. Diplomarbeit Die Diplomarbeit is
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13. Übergangsbestimmungen Die Übe
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Skills: • Applying the management
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Skills: • Techniques to analyze t
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• Input/Output modeling (Black Bo
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• Lab: Implementations of concept
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Learning Outcomes: Durch dieses Mod
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Competences: • Problem solving an
Page 37 and 38: • Introduction to model engineeri
Page 39 and 40: The prerequisites are conveyed in t
Page 41 and 42: • Experience and reect social and
Page 43 and 44: Syllabus: This modules aims to enab
Page 45 and 46: io-chemistry and mathematics; the r
Page 47 and 48: models. Students work in small grou
Page 49 and 50: • Risk model management: Complian
Page 51 and 52: • Ability to evaluate and design
Page 53 and 54: SBA/STM - Strategic Management and
Page 55 and 56: and design a prototype in a group,
Page 57 and 58: SBI/EC2 - Web: Analysis and Search
Page 59 and 60: • Knowledge modeling Competences:
Page 61 and 62: SBI/KM3 - Semantic Web ECTS-Credits
Page 63 and 64: Skills: • Knowledge about service
Page 65 and 66: SBI/MO2 - e-Business Modeling ECTS-
Page 67 and 68: • Know-How of which e-marketing m
Page 69 and 70: Skills: • Overview of software ar
Page 71 and 72: • Engineering of distributed syst
Page 73 and 74: SIT/EUP End User Programming ECTS-C
Page 75 and 76: Skills: • Web search and Scalabil
Page 77 and 78: SIT/MO1 - Advanced Model Engineerin
Page 79 and 80: • Presentation of scientic and pr
Page 81 and 82: SIT/SE1 - Requirements Engineering
Page 83 and 84: software process automation, for ev
Page 85 and 86: SIT/SE3 - Advanced Software Quality
Page 87: LU: Laborübungen sind Lehrveransta
Page 91 and 92: 1.Sem SS 2.Sem WS 3.Sem SS 4.Sem WS
Page 93: Prerequisites The innovation curric
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Masterstudium Business Informatics - Fakultät für Informatik, TU Wien

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