Module SS 2018

This course generalizes the concepts of simple linear regression discussed in Business Statistics I to the case of multiple linear regression.

Topics
> Classical linear model assumptions
> Parameter estimation in multiple linear regression
> Model diagnostics
> Inference in multiple linear regression
> Model specification techniques
> Model selection techniques Introduction to the software package R

Our educational journey will be done in cooperation with Prof. Jan Mendling, WU Vienna - University of Economics and Business. We will attend lectures at the brand new campus of WU Vienna, the biggest university for social and economic sciences in Europe. Furthermore, company visits and social activities are part of this journey. The trip lasts from Tuesday- Saturday(including travel).

This module is accredited as elective subject (i.e. it counts as 3 out of 12 ECTS in the elective subjects basket).

Activities
Besides a lecture at the new campus of the Vienna University of Economics and Business (WU Wien) by Univ. Prof. Dr. Jan Mendling, we plan the following activities:

• visit of the Austrian National Library
• visit of the Viennese brewery: Ottakringer Brauerei AG
• introduction to typical Austrian cuisine

Schedule
Date: 3rd April 2018 until 7th April 2018 (travelling on 3rd and 7th April)

Preliminary Agenda (to be confirmed)
Tuesday: 18:00: get-together (to be announced), sightseeing-walk, dinner.
Wednesday: lectures at WU Wien, dinner in Schweizerhaus (Prater Vienna)
Thursday: lectures (half day) and short exam (see below for details), brewery visit, free evening
Friday: Austrian National Library and dinner at a traditional Heurigen. Late departure is possible after the Library, if necessary.
Saturday: individual departure

Regulations require an examination in an elective subject. The exam will be conducted in the form of an exercise with relation to the lecture. You will be able to consult in groups and use all material (open book). Grading will be pass/not passed
There will be sufficient time to discover the city individually.

Accommodation
Students who took part in the last years, always recommended the following places to stay:

• Wombats City Hostel – THE LOUNGE at Mariahilferstrasse: http://www.wombats-hostels.com/vienna/the-lounge/

• Motel One Prater – this is near the WU Wien Campus, where lectures will take place, and close to Schweizerhaus: http://www.motel-one.com/en/hotels/vienna/wien-prater/

Cost & Registration
Please register until end of February for the study trip.

The cost for entry fees in Ottakringer Brewery are 6,- EUR which we will collect during the trip. All other costs have to be covered individually.

Travel
Travelling to Vienna should be organized individually. We can recommend the Austrian Federal Railways (www.oebb.at) leaving e.g. from Feldkirch or Zurich.

Some tips for booking a train ticket:

• There is always a limited amount of cheaper tickets -dedicated to specific trains - available (called Sparschiene).
• If you want to buy a regular ticket, you will be asked whether you have a ÖBB Vorteilscard (50 % discount). All people under 26 years can buy a Vorteilscard < 26 at low cost.

Flights go from Altenrhein-St.Gallen (Peoples Airline) and Zürich (AUA, Swiss) to Wien-Schwechat (VIE).

Arriving by car is possible, the P+R Ottakring might be the best solution then (U3 connects you with the city).

We will use public transportation during the trip. Tickets are available at all vending machines of "Wiener Linien".

Short description
In the second Innovation Lab, students engage in a competitive collaboration challenge to develop innovative solutions for a real-life business problem.

Topics

• Innovation
• Competition
• Collaboration

Short description
A three-day workshop will serve as a case study in which the students participate. This is followed by a reflection phase during which literature review and research will be applied to their experiences. Finally participants have to document their key findings and lessons learned in a written seminar work and prepare a presentation to transfer this new knowledge to their fellow students.

Topics

• Managing Human Resources
• Leadership
• Operations Organisation and Organisational Behaviour
• Project, Change and Conflict Management
• Competence Management and Delegation
• Teambuilding

Short description
In their Master’s thesis, students use scientific methods and work in accordance with standards of scientific writing. The Master’s thesis is typically related to the major (BPM or Data Science) chosen by the student.

Short description
The course focuses on developing research proposals in the field of business process management.

Topics

• Conducting literature reviews
• Developing research questions
• Designing qualitative, quantitative, and design oriented research
• Writing research proposals
• Ethical issues in business process management research

Short description
The course focuses on developing research proposals in the field of data science.

Topics

• Conducting literature reviews
• Developing research questions
• Designing qualitative, quantitative, and design oriented research
• Writing research proposals
• Ethical issues in data science

Short description
The course covers the fundamentals of supply chain management, so it focuses on the coordination of problems related to the provision of products and services and the flow of goods.

Topics

• Demand forecasting
• Process flow analysis
• Service process management
• Inventory management
• Location planning
• Production planning
• Scheduling
• Network management

Learning objectives

• Students will know about the main concepts, theories, and methods in supply chain management.
• In a business game, students will recognize and analyze typical coordination problems along the supply chain.
• In exercises, students will use analytical methods like linear programming, dynamic programming, regression analysis, and exponential smoothing, and state-of-the-art algorithms and heuristics like Silver-Meal and Branch-and-Bound.
• In case studies, students will use these methods to identify business problems, generate solutions, and compare their solutions in terms of quality and accuracy.

Methods

• The module involves interactive lectures with exercises to integrate theoretical knowledge and practical skills.
• Case studies are used to show how the course contents are related.
• A business game is used to illustrate typical coordination problems along the supply chain.
• The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.

Recommended previous knowledge

• Students are expected to have basic knowledge and skills in operations management.

Compulsory reading

• Chopra, S., & Meindl, P. (2012). Supply Chain Management: Strategy, Planning, and Operation (5th edition). Pearson: Edinburgh Gate et al.

Short description
The course focuses on systems analysis and design, including methods and approaches for developing and implementing information systems in organizations.

Topics

• Introduction to object-oriented systems
• Project planning and initiation
• Requirements analysis (i.e., requirements gathering and structuring)
• Systems modeling (i.e., UML modeling languages)
• Systems implementation

Learning objectives

• Students will know how information systems can be modeled and designed.
• Students will know basic methods of systems modeling and design (i.e. UML modeling languages) in order to analyze, design, and implement information systems.
• Students will use methods of systems modeling in order to analyze, design, and implement information systems.

Methods

• The module integrates theoretical knowledge and practical skills in an interactive lecture.
• The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.

Recommended previous knowledge

• Gries, P., Campbell, J., & Montojo J. (2013). Practical Programming: An Introduction to Computer Science Using Python 3. Pragmatic Bookshelf: Frisco, TX, USA.
• Hoffer, J. A., George, J. F., & Valacich, J. S. (2017). Modern Systems Analysis and Design. Person: New York.

Compulsory reading

• Rosenberg, D. & Stephens, M. (2007). Use Case Driven Object Modeling with UML. Apress: New York.

Further reading

• Booch, G., Rumbaugh, J., & Jacobson, I. (2005). Unified Modeling Language User Guide. Addison-Wesley: Boston.
• Kölling, M. (2009). Introduction to Programming with Greenfoot: Object-Oriented Programming in Java with Games and Simulations. Prentice Hall: Upper Saddle River.