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Corporate Finannce

Corporate Finannce

Module Coordinator/Lecturers
Study Programmes
ZFL Finance (ZFL Finance 13) (01.02.2013)
Module number:
3507142
Semester:
SS 13
ECTS Credits:
4
Courses:
40 L / 30 h
Self-study:
90 h

Risikomanagement

Risikomanagement

Module Coordinator/Lecturers
Study Programmes
ZFL Finance (ZFL Finance 13) (01.02.2013)
Module number:
3507141
Semester:
SS 13
ECTS Credits:
4
Courses:
40 L / 30 h
Self-study:
90 h

Investmentprozess

Investmentprozess

Module Coordinator/Lecturers
Study Programmes
ZFL Banking (ZFL Banking 13) (01.02.2013)
Module number:
3507140
Semester:
SS 13
ECTS Credits:
4
Courses:
40 L / 30 h
Self-study:
90 h

Vermögensstrukturierung

Vermögensstrukturierung

Module Coordinator/Lecturers
Study Programmes
ZFL Banking (ZFL Banking 13) (01.02.2013)
Module number:
3507138
Semester:
SS 13
ECTS Credits:
4
Courses:
40 L / 30 h
Self-study:
90 h

Finanzmärkte und Finanzinstrumente

Finanzmärkte und Finanzinstrumente

Module Coordinator/Lecturers
Study Programmes
ZFL Finance (ZFL Finance 13) (01.02.2013)
ZFL Banking (ZFL Banking 13) (01.02.2013)
Module number:
3507137
Semester:
SS 13
ECTS Credits:
4
Courses:
40 L / 30 h
Self-study:
90 h

Business Statistics

Business Statistics

Module Coordinator/Lecturers
Study Programmes
Masterstudiengang IT and Business Process Management (MSc BPM 08) (01.10.2008)
Project Description
In this course we discuss some statistical methods that can help to take decisions in business using data. After reviewing the basic concepts of ''Testing and Estimating'', usually known from an introductory course on probability theory and statistics in any bachelor program, we introduce and discuss some aspects of ''Multiple Linear Regression Analysis'', which can be regarded as one of the practically most relevant statistical techniques.

Topics:
  • graphical and numerical characterizations of random variables and their distributions
  • framework and basic applications of testing hypotheses and estimating parameters
  • ordinary least squares method and its properties
  • parameter estimation in multiple linear regression
  • classical linear model assumptions and model diagnostics
  • inference in multiple linear regression
  • model specification techniques
  • model selection techniques
  • introduction to the software package R
Teaching Method
Students are usually asked in advance to read corresponding parts of the textbook (Wooldridge, 2009) in order to prepare for the upcoming lectures. In the interactive lectures, we then introduce the statistical concepts and motivate them by discussing examples in detail. Assignments are then offered to train these skills. During the office hours, individual problems may finally be discussed with the lecturer. In order to analyze realistic data, the software package R will be used.

The same teaching methods will be used in the two different lecture series ''Testing and Estimating'' and ''Multiple Linear Regression Analysis''.

The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.
Literature
The students will be provided with the lecture slides and supporting materials (literature and exercises) throughout the course.

Compulsory reading:
  • Wooldridge, J.M. (2009). Introductory Econometrics. (International Student Edition, 4th edition). Mason: South Western Cengage Learning.

Further reading:
  • Montgomery, D.C., Peck, A.E. & Vining, G.G. (2012). Introduction to Linear Regression Analysis. (5th edition). New York: John Wiley & Sons.
  • Faraway, J.J. (2005). Linear Models with R. Boca Raton: Chapman & Hall/CRC.
Module number:
3603767
Semester:
WS 13/14
ECTS Credits:
5
Courses:
60 L / 45 h
Self-study:
105 h
Sprache:
Englisch
Scheduled Semester:
1

Aufbaufach Baukonstruktion 1 Zusatz

Aufbaufach Baukonstruktion 1 Zusatz

Module Coordinator/Lecturers
Study Programmes
Bachelorstudiengang Architektur (BSc AR 08) (01.09.2008)
Module number:
3604657
Semester:
WS 13/14
ECTS Credits:
0
Courses:
30 L / 23 h
Self-study:
0 h
Sprache:
Deutsch
Scheduled Semester:
1

Topics in IS Research

Topics in IS Research

Module Coordinator/Lecturers
Study Programmes
Masterstudiengang IT and Business Process Management (MSc BPM 08) (01.10.2008)
Project Description
In the module Topics in IS Research students write and present a seminar paper on a contemporary IS-related topic.

In this years’ module, students can choose a specific topic from two main topic areas:
1) Social Media
2) Software Engineering
Teaching Method
The module consists of a seminar where students improve their skills in writing academic papers and in giving presentations.

The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.
Literature
The students will be provided with slides and supporting materials throughout the course. However, a literature review is an integral part of the seminar.
Module number:
3603922
Semester:
WS 13/14
ECTS Credits:
5
Courses:
60 L / 45 h
Self-study:
105 h
Sprache:
Englisch
Scheduled Semester:
3

Intellectual Property Law

Intellectual Property Law

Module Coordinator/Lecturers
Study Programmes
Masterstudiengang IT and Business Process Management (MSc BPM 08) (01.10.2008)
Project Description
> Introduction to law, including contract law and general terms and conditions
> Introduction to intellectual property rights
  • Trademark law
  • Design law
  • Patent law and utility model law
  • Copyright law
> Certain aspects of domain law
> Licensing
> Software development agreements
> Certain aspects of unfair competition
> Introduction to E-Commerce and E-Signature
Teaching Method
Interactive lecture, group work, case studies, discussions
Learning Objectives
  • Basic understanding of contract law
  • Basis understanding of scope of application of the intellectual property rights
  • Increased awareness of legal problems in connection with the use and exploitation of intellectual property rights
Literature
> Klett/Sonntag/Wilske, Intellectual Property Law in Germany, Verlag Lexis Nexis 2008
> Bentley/Sherman, Intellectual Property Law 3rd Edition (2009) Oxford University Press (optional)
> Heidinger/Hubalek/Pramberger, Introduction to the Law and Language of the European Union (1998) 2nd Edition, Verlag Lexis Nexis (optional)
Assessment Methods
Die maximale Korrekturzeit beträgt 6 Wochen. Sollten bis zu diesem Zeitpunkt die Noten nicht im Intranet zur Verfügung stehen wenden Sie sich bitte direkt an die Modulleitung.
Module number:
3603778
Semester:
WS 13/14
ECTS Credits:
5
Courses:
40 L / 30 h
Self-study:
120 h
Sprache:
Englisch
Scheduled Semester:
1

Systems Modelling

Systems Modelling

Module Coordinator/Lecturers
Study Programmes
Masterstudiengang IT and Business Process Management (MSc BPM 08) (01.10.2008)
Project Description
  • Introduction
    • Object-oriented software systems
    • Software development methodologies
  • Requirements analysis
  • Domain analysis
  • UML
  • Behavioral modeling I
    • Use cases
    • Use case diagrams
    • Activity diagrams
  • Structural modeling
    • Class diagrams
  • Behavioral modeling II
    • Sequence diagrams
    • State chart diagrams
  • UI modeling
  • Quality of models
  • Project tasks
Learning Objectives
The module "Systems Modeling" comprises one course, consisting of a lecture and an exercise, which aims at integrating theoretical knowledge and practical skills. Students will learn to design software systems in a model-driven, object-oriented way using the Unified Modeling Language (UML). Integrated project tasks require students to translate their theoretical knowledge gained in lectures and self-study into practice. Students gain experience in modeling and will be able to successfully apply and critically assess particular methods and tools. The module forms the foundation for the succeeding module “Systems Development”.
Literature
Recommended:
  • Ashrafi, N.; Ashrafi, H. (2009): Object-Oriented Systems Analysis and Design, Pearson Education.
  • Booch, G.; Rumbaugh, J.; Jacobson, I. (2005): Unified Modeling Language User Guide, Addison-Wesley.
Module number:
3603777
Semester:
WS 13/14
ECTS Credits:
5
Courses:
66 L / 50 h
Self-study:
100 h
Sprache:
Englisch
Scheduled Semester:
1
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