frankfurt school exchange student information · modul und akkumulationspunkte literaturhinweise...

*Module is taught in German

**Module description TBA

(subject to change) 04.02.2019

Frankfurt School Exchange Student Information

Overview of Summer Semester BSc Modules

Finance and Banking

Q3 Modules Q4 Modules

Corporate Finance Financial Markets

Advanced Business Modelling Using Spreadsheets

Econometrics Money and Banking

Managing Organizations


Digital Entrepreneurship Digital Markets and Business Models Global Marketing Strategy Operations Modelling and Simulation

Accounting and the Business Environment Brand Management** Consumer Behavior Supply Chain Management

Economics


Behavioral Models, Economics and Philosophy

FX Markets and Exchange Rate Determination

Challenges of the World Economy

Business and Society


Doing Business in India International Healthcare Business Negotiation

Grundlagen des Unternehmensrechts * Human and Machine Predictions Current Topics in Political Philosophy**

*Module is taught in German

**Module description TBA

(subject to change) 04.02.2019

Further Information about the modules:

- The summer semester is structured in two quarters with the following dates:

Q3: 4 February – 30 March 2019

Q4: 1 April – 1 June 2019

The last week of each quarter is the exam week. Courses are either offered in Q1 or in Q2,

only the German language course runs for both quarters.

- Within each quarter the modules are usually scheduled in fixed time slots which either run

on one day a week over eight hours (8:45 to 16:30h), or on two consecutive days from

17:00 to 20:15h. Classes may take place on Saturdays as well.

- Each module has a module description that includes a description, the requirements, the

examinations as well as the text books and further readings. Please note that all

information in the provided modules catalogue is from last year and therefore subject to

change; only the module descriptions distributed at the start of the semester in your Online

Campus are binding.

- Each module offered at FS has 44 hours of in-class teaching and is worth 6 ECTS. The de-

fault language of instruction is English. The recommended course load is two modules per

quarter and the maximum is three.

- You may change (space provided) or drop courses until after the second session, provided

that no assessment has started. You cannot drop out of a class later on; all courses you are

registered for will appear on your transcript.

- The optional German classes always take place on Wednesdays.

Corporate Finance [FIN60136_]

Schäfer, LarissaModulkoordinator

Studiengang Bachelor of Science

Studienabschnitt 6th semester

Moduldauer 1 Semester

Pflicht-/Wahlpflichtmodul

Pflicht

Credits: 6

Jährlich

Sprache Englisch

Präsenz: 60 h Selbststudium:

Voraussetzungen für die Teilnahme

Finance 1

Kurzbeschreibung / Lerninhalte

1- Änderungen vorbehalten -FIN60136_

Stand (06/12/2018)

90 h

This course focuses on the practical and conceptual problems associated with financial management of the non-financial corporation. The treatment of all areas involves theoretical concepts and the application of these concepts to contemporary business situations for the purpose of corporate decision-making. All topics reflect the impact on the overall value and risk of the company. Topics covered include, but are not limited to: Financial statements and cash flow, time value of money, valuation of equity, capital budgeting and project evaluation techniques.

Häufigkeit des Angebots

Workload: 1 h

Qualifikationsziele / Lernergebnisse

Lernformen, Methodik und Betreuung

Art der Prüfungsleistungen im Modul und Akkumulationspunkte

Literaturhinweise


Stand (06/12/2018)

Knowledge: On successful completion of this module, students will have a thorough comprehension of the basic definitions, theories and concepts of corporate finance, i.e. they can: • •

•

• • • •

•

•

describe the basic definitions, theories and concepts,explain how to undertake and evaluate investment, financing, payout, and valuation decisionsSkills: On successful completion of this module, students will have the proven ability to apply corporate finance concepts, i.e. they can:evaluate the costs and benefits of different corporate governance mechanisms,allocate capital across projects,apply modern valuation techniques,determine capital structure and payout policies,select suitable project evaluation techniques Competencies: On successful completion of this module, students can take responsibility for designing and implementing corporate finance concepts in organisations, i.e. they can:critically analyse the suitability of different corporate financial approaches for the specific context of their organizationtake into account interdependencies of financial choices when implementing concepts

Teaching discussion, group work, student presentations, advanced studies

Prüfungsleistung Dauer oder Länge

Akku-Punkte Abgabe-oder Erstellungszeitraum

Case Study 40 group work during the course

Presentation Academic Article

40 group work during the course

Written Exam 40 individual work, closed-book at the end of the course

Course material:Slides will be provided to accompany the lecture, and are posted on the course web site prior to the class. Recommended literature: Berk, Jonathan and DeMarzo, Peter:• Corporate Finance, 3rd or 4th editions, Global Edition, Pearson.

Modulstruktur

Verwendbarkeit für andere Module und Programme

Finance Concentration, Accounting Classes

Letztes Freigabedatum 04.01.2018


Stand (06/12/2018)

•

• • • • •

• • •

Introduction and Basics of Financial Statements Analysis (BDM Chapter 1, 2)Corporate Governance (BDM Chapter 29, and other material)Project Appraisal (BDM Chapters 3,4, and other material)Stock Valuation (BDM Chapter 9, 10)Capital Structure (BDM Chapters 14, 15)Financial Distress, Managerial Incentives and Information (BDM Chapter 16)Valuation with Leverage (BDM Chapter 18)Payout Policy (BDM Chapter 17)Long-term Financing; raising Equity and Debt (BDM Chapters 23, 24)This content is subject to (minor) changes due to actual circumstances, cases, guest speakers or others.

Financial Markets [FIN40041_]

Heidorn, ThomasModulkoordinator


Studienabschnitt -

Moduldauer -


Pflicht

Credits: 6

Jährlich

Sprache Englisch



Finance 1



Stand (06/12/2018)

106 h

The students learn the importance and functions of financial products. The module discusses bonds and shares but also derivatives (from intrest rate swap to options). The necessary matmatical tools are taught but also market conventions and market set up are analyzed. All products are calculated and discussed in detail. The students learn: • • •

• Topics:1. Financial Markets1.1 Money Market1.2 Capital Markets (Bond and Equity)1.3 Portfolio Theory2. Derivates2.1 Symmetric Instrument (Intzerest Rate Swap, Forward Rate Agreement, Future)2.2 Asymmetric Instruments (Equity Options)

to evaluate the importance of financial markets,to understand the elements of money and capital markets,to understand and use the most important products of financial markets,an introduction to the theory of financial markets.


Workload: 150 h

Modulstruktur



Literaturhinweise


Base for other Finance-Modules



Stand (06/12/2018)

Knowledge:Based on the theory of financial markets the students will acquire a broad knowledge of the most important products of international financial markets, i.e. they can: • • • Skills:The students learn the conception and organisational implementation of financial products and train to transfer theses skills to other tasks, i.e. they can: • • Competences:The Module gives the students a broad knowledge base of the modern financial world. After successful completion of this Module, students can: • •

explain the usage of financial products,describe theoretical concepts of evaluation,outline the impact of these products in real markets.

implement financial products,evaluate the importance of these products for the market.

analyse complex financial products,judge financial aspects considering business and regulatory questions.

Prüfungsleistung Dauer oder Länge

Akku-Punkte Abgabe- oder Erstellungszeitpunkt

Test 120 Min. 120 End of semester

•

•

•

Brealey, R.A. / Myers, S.C. / Allen, F.: Principles of Corporate Finance, 2011

Heidorn, T. / Schäffler Christian: Finanzmathematik in der Bankenpraxis, 2016

Steiner, M. / Bruns, C.: Wertpapiermanagement, Stuttgart 2007

Advanced Business Modeling Using Spreadsheets [INF60102_]

Roßbach, PeterModulkoordinator


Studienabschnitt -

Moduldauer -


Wahl

Credits: 6

Jährlich

Sprache Englisch



Completion of module "Business Information Systems" resp. "Wirtschaftsinformatik" or comparable skills in Excel and VBA are required.A pre-test to check the adequate VBA knowledge will be done before the beginning of the module.


1- Änderungen vorbehalten -INF60102_

Stand (06/12/2018)

106 h

In today’s business many managerial decisions are based on decision models applying highly sophisticated algorithms. For the implementation of such models software tools are needed. One class of those tools is spreadsheet programmes, like Microsoft Excel, which provide the necessary functions and flexibility for the developer and user in one person.The purpose of this module is to develop professional skills for the design and implementation of ambitious business and finance models using spreadsheets and programming techniques. The objective is to understand the models from conceptual and computational perspectives and to translate them into Microsoft Excel/VBA applications. For this, both the models and the manifold techniques for developing spreadsheet applications are subject of the lectures.The topics of this module will mainly cover the following areas: •

•

• •

Accompanying the content-related modelling, specific spreadsheet techniques, like the usage of matrix functions, pivot functions, the solver, and building graphical user interfaces, are also subject of the lectures.

Valuation; for example value-at-risk and valuation of securities and derivativesOptimization; for example cash-flow optimization, portfolio optimization, and heuristic optimizationSimulation; e.g. Monte Carlo and what-if analysisForecasting and Prediction; e.g. GARCH modelling and turnover forecasting


Workload: 150 h




Literaturhinweise


Stand (06/12/2018)

Knowledge:On completion of this module, the students are familiarized with the relevant methods and instruments utilized in managerial and in special financial decision processes, i.e. they can: •

•

Skills:On successful completion of this module, students will have the proven ability to practically implement the methods and instruments in Excel and VBA with the focus on quality, efficiency and reusability, i.e. they can: • • Competencies:On successful completion of this module, the students are able to: •

•

•

describe how to apply statistical methods, optimization and simulation and OLAP technology,explain how the functionality Excel and VBA provides to effectively model the above mentioned methods and instruments.

apply an implementation process different to trial-and-error andfind the adequate relationship between Excel and VBA.

formulate practical challenges and problems in a formal and conceptual language used in business,transform the formal model in a technical model in the language of Excel and VBA andimplement it in a quality-oriented manner.

Interactive lectures, business cases, in-class exercises, and home exercises.

Type ofexamination

Duration or length

Performance points

Due date or date of exam

Assignments in form of spreadsheet applications in course and at home

120 During semester

Examination requirements:Computer with MS Excel and VBA installed (at least version 2010). Attendance requirements:Compulsory student attendance of 7 out of the 11 lectures. An attendance below that number will lead to a fail of the module.

Will be announced in the lectures.

Modulstruktur


Bachelor Thesis



Stand (06/12/2018)

The module consists of two parts. In the first part, advanced techniques in Excel and Visual Basic for Applications (VBA) will be taught. In the second part, the modelling of managerial and business applications using Excel and VBA will be the subject of the lectures.

Econometrics [FIN60110_]

Vecer, JanModulkoordinator





Wahl

Credits: 6

Jährlich

Sprache Englisch



Mathematics (QUM40010) Statistics and Probability (QUM40030)


Stand (06/12/2018)

106 h


Workload: 1 h



Stand (06/12/2018)

This module will cover intermediary and advanced econometrics including: Review of probability and statistics: • • • • • Classical linear regression models (both simple and multiple regression): • • • Diagnostic tests for linear regression: • • • • • • • • Time series modeling and forecasting: • • • • Volatility and correlation: • Limited dependent variable models: • •

Probability distributions (both discrete and continuous)Expectation, variance and covarianceLaw of large numbersCentral limit theoremStatistical estimation, confidence intervals

Properties of the ordinary least squares estimatorT-testF-test

Non-linearity testsRamsey’s RESETHeteroscedasticity testsStability of parametersNormality of residualDurbin-Watson: autocorrelation of residualsMulticolinearityPrincipal components

Moving average processesAutoregressive processesForecastingVector autoregressive models

GARCH models

LogitProbit

Modulstruktur




Literaturhinweise


Bachelor Thesis (BSc_BT)


Stand (06/12/2018)

Knowledge:On successful completion of the module, students will have a thorough comprehension of econometric theory, methods and concepts, i. e. they can • •

•

Skills:On successful completion of the module, students will have the proven ability to apply general econometric principles with a special focus on economic and financial models, i.e. they can •

• • Competencies:The combination of theoretical knowledge and application to economic and financial cases enables students to critically evaluate the predictive powers of different explanatory variables.

comprehend the underlying principles of probability and statisticsexplain the functioning and scope of application for classical linear regression and time series and panel data analysisidentify and understand appropriate diagnostic tests for linear regression

apply econometric techniques to examples and cases from practice.execute diagnostic tests for linear regressioninterpret the econometric results based on real data sets

Lecture with integrated worked examples and economic and financial applications.

Type ofexamination

Duration or length

Performance points


Two assigned individual projects

120 During semester

Examination requirements:Two take home projects.

Brooks, Chris (2008): Introductory econometrics for finance, 2nd ed, Cambridge University Press.

This course covers widely used econometric techniques such as the classical linear regression model, time series analysis and panel data analysis. Students learn the theory of these topics, they are provided with real data to apply these techniques, and they are confronted with real data to interpret the econometric results.



Stand (06/12/2018)

Money and Banking [FIN50021_]

Berg, TobiasModulkoordinator


Studienabschnitt -

Moduldauer -


Pflicht

Credits: 6

Jährlich

Sprache Englisch



Finance, Financial Markets



Stand (06/12/2018)

106 h

Students obtain an overview of how financial intermediaries and financial markets work. In particular, this module deals with business models of various financial interemdiaries and the core functions of financial institutions (maturity transformation, risk transformation, brokerage). Banking regulation and the effect of financial interemediation on the real economy are also discussed.


Workload: 150 h





Stand (06/12/2018)

Knowledge: On successful completion of this module, students will have a thorough comprehension of the major concepts, approaches and techniques in the area of money, banking, and finance, i.e. they can •

• • Skills: On successful completion of this module, students will have the proven ability to apply advanced knowledge and relate pertinent concepts to theoretical models and empirical evidence that govern interest rates and economic activity, i.e. they can • • •

Competencies: On successful completion of this module, students can take responsibility to transfer these concepts to typical financial economics situations in institutions and policy organizations, such as: risk management, profitability analyis of financial intermediaries, and bank regulation, as well as •

• •

understand the institutional design and role of the financial system with a focus on banking, other financial institutions and financial markets,compare and contrast the role of various financial intermediaries,explain the basic concepts of bank risk management.

analyze financial markets in different economic settings,assess the key risks facing financial intermediaries,demonstrate effective skills in comprehension of money, banking and finance research.

analyze monetary and regulatory policy scenarios and appraise the effectiveness of various policy tools,describe the structure of the financial industry,demonstrate the impact of economic shocks on financial conditions.

Tutorials, group work / presentations, discussion and active participation, individual work (take home assignment); self-study

Type ofexamination

Duration or length

Performance Points


Written Exam 90 minutes 90 Exam week at the end of the semester

Take-home assignment

20 During the semester

Case study 10 During the semester

Modulstruktur

Literaturhinweise


Basis for other modules in the area of finance.



Stand (06/12/2018)

•

•

•

•

Greenbaum, S.I., A.J. Thakor, and A.W.A. Boot: Contemporary Financial Intermediation, 3rd edition, Academic Press, 2016

Mishkin, F.S.: The Economics of Money, Banking, and Financial Markets, 10th edition, Pearson 2013

Saunders, A. and M.M. Cornett: Financial Institutions Management, 8th edition,International Edition, McGraw Hill 2014

De Haan, J., S. Oosterloo, and D. Schoenmaker: European Financial Markets and Institutions, Cambridge University Press, 2014

• •

• •

What ist financial intermediation?Business models, risks, and risk management of financial institutionsBank regulationFinancial intermediation and macroeconomic performance

Digital Entrepreneurship [INF60167_]

Sandner, PhilippModulkoordinator

Studiengang -

Studienabschnitt -

Moduldauer -


Pflicht

Credits: 6

Jährlich

Sprache Englisch



Basic knowledge in business administration and IT development.


Stand (06/12/2018)

106 h


Workload: 150 h



Stand (06/12/2018)

The approach is based on the “lean start-up”-approach employing methods such as “customer development” and “business model generation”. These methods focus on developing a business idea, developing and refining the business model of the start-up, understanding who the customers/markets are and developing and testing a set of related hypotheses about a start-up in a fast and efficient process. Also, venture capital funding and startup financing are an important part of the course. For example, the process for designing a prototype for an app is explained as well as testing a business model through a simple landing page in the internet. The business model/plan and the in-program team project form the backbone of the course to allow students to experience the path from a business idea to an action plan for starting and operating a new business venture. Students will work on an own group startup project (i.e., in the area of IT and smartphone apps) to learn and understand entrepreneurship, engineering approaches and business modelling. Topics we will cover in this module include the following topics • • • • • • • • The course is thus not only geared towards students with an interest in entrepreneurship, but also touches on related topics in the areas of innovation, technology and engineering and organization design.

Opportunity recognition and associated techniquesBlockchain-based startups and Fintech business modelsCustomer development approach to entrepreneurshipEntrepreneurial sales and brandingFinding the right business models for entrepreneurial start-upBusiness model/plan developmentVenture capital financing and startup fundingFunding, team formation and talent management issues



Stand (06/12/2018)

Knowledge:On successful completion of this module, the students will have a thorough comprehension of digital entrepreneurship with a specific focus on applications of blockchain technology (e.g. Ethereum), engineering of projects, prototyping and modern manufacturing techniques, i.e., they can • • • •

•

•

• Skills:On successful completion of this module, the students will have the proven ability to build new ventures, to support the engineering of a startup project and deploy various approaches in entrepreneurship, i. e., they can •

• •

•

•

•

Competencies:Through its cross-discipline approach, this course will equip students with the ability to integrate their knowledge from various disciplines, including marketing and innovation. Students’ skills in applying the tools covered in this course will allow them to • • •

•

•

•

identify entrepreneurial opportunitiesdevelop marketing strategies for startups and new venturesdraft pitch presentations in order to acquire startup fundingunderstand blockchain applications and their potential implications for businessesdevelop specifications and design requirements for projects and draft prototypes (in the area of blockchain technology, IT and smartphone apps)understand modern project management techniques (such as agile project development)discover how prototypes can be tested with users

apply the principles of the “lean-start up” and the “customer development” approachesthink of concepts for entrepreneurial sales and brandingapply for startup funding (e.g. business angel and venture capital investments)specify an development idea and deploy prototyping techniques with regard to an own project (in the area of IT and smartphone apps)test prototypes with users to identify strengths and weaknesses of the prototypedeploy modern project management strategies (e.g. agile project management, SCRUM)

draft valid business models for startupssetup project management structuressuccessfully manage startups projects (including engineering projects or IT projects)propose actions that will positively impact firms’ development projects (in the area of blockchain technology, IT and smartphone apps)integrate insights into customer needs and capabilities of founder teams to draw up new and promising strategiesunderstand the interdependence between entrepreneurial success, prototyping and testing of new products and services

Modulstruktur



Literaturhinweise


The content will be helpful for the other modules such as innovation, IT architecture, and marketing.



Stand (06/12/2018)

Lecture, interactive teaching, case studies, reading, group project.

Type of examination

Duration or lenght

Performance points


Group presentation

60

Individual Paper 60

The final grade will be determined based on the outcomes of a group presentation based on project developed along the course of the class (i.e., in the area of IT and smartphone apps). A written individual project report based on the practical group work constitutes the remaining 50% of the final grade.

1.

2.

Eisenmann et al. 2013 - Hypothesis-Driven Entrepreneurship: the Lean Start-Up. HBS 9-812-095

Christensen et al. 2002. Foundations for Growth: How to identify and Build New Disruptive Businesses

The course is intended to provide students with an introduction to digital entrepreneurship based on a project which the students work on during the course. To achieve this, the course will further be based on lectures, readings and cases that illustrate the development of an idea based on digital technologies from opportunity recognition through launching the start up to the stage when outside money is needed (venture capital). Special focus is put on business models in the area of FinTech and blockchain technology. The lectures, readings and case discussions will identify the skills generally considered necessary for success in an entrepreneurial venture. Thus, the course is geared to all students to learn to become serious entrepreneurs in the area of Fintech and blockchain.Student groups will work on their own project (in the area of blockchain technology, IT and/or smartphone apps) with regard to designing requirements, prototyping and testing with users of the product – and finally drafting a pitch presentation.

Digital Markets and Business Models [MGT60133_]

Öztürkcan, SelcenModulkoordinator


Studienabschnitt -

Moduldauer -


Pflicht

Credits: 6

Jährlich

Sprache Englisch

Präsenz: - Selbststudium:


Module ?Marketing


1- Änderungen vorbehalten -MGT60133_

Stand (04/02/2019)

-

The course contains: •

•

•

the social Internet trends and behavior, threats and possibilities, analytical framework for social media/technology, social technographic profile, value creation, and the Internet.

introduction to digital marketing? the Internet as a channel for trade and market place,its micro, and macro environment, digital marketing strategies, digital marketcommunication.development of strategies for digital marketing, strategy processes, market mixand Internet, relationship marketing and eCRM.implementation and practice perspectives on development and evaluation,campaign planning for digital media, select, evaluate, and optimize digital channels.


Workload: -

Modulstruktur




Literaturhinweise


-



Stand (04/02/2019)

After completing this course, the student should be able to: •

• •

•

•

describe, analyze and evaluate digital media/communication initiatives with a focus on social media and its value creation

account for the ways in which digital marketing as a phenomenon can be understood and evaluatedaccount for business models and strategies for e-tradediscuss strategies for digital marketing, its content, structure, as well as how it is related to organizations’ overall strategiesdiscuss customer relationships and customer behaviour in an online contextdiscuss current Internet culture, its threats, and possibilities for organizations

Type ofexamination

Duration or length

Performance Points


Group assignments


Individual assignment


Class participation


Chaffey, D. & EllisChadwick F. Digital Marketing – Strategy Implementation and Practice. Pearson Education Ltd. 6th edition.

• • • • • • Evaluating and Measuring Digital Marketing

Course IntroductionUnderstanding Digital marketing and the online marketplaceDigital marketing strategyDelivering the online customer experienceMarketing communication and digital mediaCampaign planning for digital media

Operations Modelling and Simulation [MGT60261_]

Sibbel, Rainer; Strohhecker, JürgenModulkoordinator





Wahl

Credits: 6

Jährlich

Sprache Englisch



Operations Management



Stand (06/12/2018)

106 h

In this module students will learn modelling and simulation techniques (with a strong focus on DES) to solve a range of operations management challenges. These challenges are drawn from various areas including process design, supply chain management, scheduling, supply and demand planning, and project management.Students will learn how to develop models, analyse and provide data, simulate their models, conduct optimization and sensitivity analyses and interpret and communicate results based on a structured project management approach. Both general software packages (for example Microsoft Excel) and specific simulation software (for example Arena) are used.By successfully passing this module participants will have the knowledge and tools at hand to conduct Operations Management consulting projects, specifically (discrete event) simulation studies. Modelling Techniques • • Areas of Application • • • • • •

Discrete Event Simulation (DES)PERT/CPM

Process DesignInventory ManagementSchedulingSupply Chain ManagementProject Management (PM)Demand Planning


Workload: 150 h




Stand (06/12/2018)

Knowledge:On successful completion of the module, the participants will have knowledge of a range of operations modelling and project management tools (as listed in the module overview), i.e. they can • • •

•

•

• •

•

•

•

• present a structured project plan

describe the modelling tools introduced in this moduleexplain and operate the toolset introduced in this moduleevaluate the tools and discuss their strength and weaknessesSkills:On successful completion of the module, students will have the proven ability to apply modelling techniques to practice-oriented challenges, i.e. they cananalyse, structure and classify a range of operations management challenges in practice and theorydevelop an adequate quantitative model (specifically discrete event simulation and PERT/CPM models) by applying the appropriate modelling techniqueanalyse the model to solve an operations management challengeuse general software packages (for example Microsoft Excel) and specific simulation software (for example Arena) to support quantitative modellingdevelop a structured project planCompetencies:Successful module participants develop the competence to provide responsible contributions in establishing concepts and processes in operations as well as project management. They acquire the ability to further develop and adapt to the needs in practice. They canpresent operations management challenges and models to a management audiencepresent model based results and scenarios to a management audienceargue competently about adequate problem solution strategies

Teaching format consists of interactive lectures, workshop-style lectures, self-study elements, exercises, modelling challenges and a small-scale practice project. Participants will often work in small groups with close interaction with the lecturer. Teaching builds on the idea that modelling is best acquired through learning by doing, i.e. through applying it to various hands-on challenges

Modulstruktur


Literaturhinweise


Supply Chain Management



Stand (06/12/2018)

Type ofexamination

Duration or length

Performance points


In-term exam 90min 30 Exam week

Case study incl. presentation

16h (workload) 40 Second half of the quarter, tba

Project plan 12h (workload) 30 End of Semester

In-class participation

20 During the course

Examination requirements:For the modelling and simulation based examinations a computer with Windows 7 or higher will be needed. Discrete event simulation software will be provided. The in-term exam as well as the project plan are individual examinations. The case study is a group work including a management oriented presentation of the findings.

Heizer, Jay; Render, Barry: Operations Management, Sustainability and Supply Chain Management, 11th ed., Pearson 2014 (Global Edition)Kelton, W. David; Sadowski, Randall P.; Zupick, Nancy B.: Simulations with Arena, 6th ed: McGraw-Hill, 2014Kelton, W. David; Smith, Jeffrey S.; Sturrock, David T.: Simio & Simulations, Modeling, Analysis, Aplications, 2nd ed., McGraw-Hill, 2011

Session Content1 Introduction to the module, DES, and Arena2 Modelling and simulating processes3 Introduction to Project Management4 Fundamental steps of Project Management5 Project Management techniques I6 Project Management techniques II7 Designing simulation experiments8 Introduction to the practice case study9 Modelling and optimizing a newsvendor situation10 Advanced modelling concepts & practice case study coaching11 Practice case study presentation

Accounting and the Business Environment [ACC60130_]

Wagner, Hermann A.Modulkoordinator


Studienabschnitt 6th Semester



Wahlpflicht

Credits: 6

Jährlich

Sprache Englisch



Financial Accounting, Managerial Accounting


1- Änderungen vorbehalten -ACC60130_

Stand (06/12/2018)

106 h

Students will be assigned to small subgroups. Each group has to analyze the consolidated annual report of a specific firm. Regarding the M&A sessions the students have to analyze also specific transactions. The module is structured as follows: A short lecture (80 minutes) will introduce each of the topics outlined above. The following meeting starts with an interactive session in which the groups will explain their findings regarding the topics at hand for the respective firm/industry for which they have expertise. There will be 11 interactive sessions (each around 100 minutes) in the module.


Workload: 150 h




Stand (06/12/2018)

Knowledge:On successful completion of this module, students will have a thorough comprehension of the basic definitions, theories and concepts of accounting and business environment, i.e. they can: •

•

•

Skills:On successful completion of this module, students will have the proven ability to apply accounting concepts, i.e. they can: •

• • Competencies:On successful completion of this module, students can take responsibility for designing and implementing concepts in organisations, i.e. they are: •

Deepen their factual knowledge of various accounting choices and discretion in reportingDescribe how accounting is impacted by the business and regulatory environmentUnderstand how the business and legal environment affects a firm’s strategy and operations

Analyze financial statements in the context of the environment in which a firm operatesImprove their oral and written communication skillsIdentify critical accounting methods for given industries

Competent to assess the importance and adequacy of different accounting systems (management perspective) and what can be learnt about a firm’s strategy, operations and performance from publicly available information (analyst’s perspective)

Class sessions will combine traditional (short) lectures followed by interactive case study discussions. Students are required to contribute to these interactive sessions by presenting their findings for individual business cases. Students will be asked to prepare for the sessions by working on the respective cases. In the first sessions, we will form groups of about 4-5 students and assign a company case to each of them. Groups have to hand in a comprehensive report on the respective firm they are analyzing.


Literaturhinweise


Stand (06/12/2018)

Type ofexamination

Duration or length

Performance points


Oral exam 55 End of semester

Group project: report

40 End of semester

Active participation

25 During semester

Examination requirements: N/A

Basic literature:

•

•

•

•

•

•

•

•

Additional sources will be provided in class.

Abdel-Khalik, A. Rashad (2014): Accounting for Risk, Hedging & Complex Contracts. Routledge. (Chapter 2, 4, 12).

Anthony, Robert N.; Govindarajan, Vijay; Hartmann, Frank G. H.; Kraus, Kalle; Nilsson, Göran (2014): Management Control Systems. MacGraw-Hill. (Chapter 2).

Dhaliwal, Dan S.; Radhakrishnan, Suresh; Tsang, Albert; Yang, Yong George (2012). Nonfinancial Disclosure and Analyst Forecast Accuracy – International Evidence on Corporate Social Responsibility Disclosure. Accounting Review, 87(3), 723-759.

Ferreira, Aldónio; Otley, David (2009): The design and use of performance management systems: An extended framework for analysis. Management Accounting Research, 20(4), 263-282

Gregory, Edward; Myers, Roslyn (2002). Help Clients Take Measure. Journal of Accountancy. 193(6), 53-58.

Merchant, Kenneth A. (1982): The Control Function of Management. Sloan Management Review, 23(4), 43-55.

Shi, Yuwei; Manning, Tom (2009): Understanding Business Models and Business Model Risks. Journal of Private Equity. 12(2), 49-59.

Singleton-Green, Brian (2014). Should financial reporting reflect firms' business models? What accounting can learn from the economic theory of the firm. Journal of Management & Governance, 18(3), 697-706.

Modulstruktur


Preparation for Master programms, e.g. Master in Auditing.



Stand (06/12/2018)

Students are introduced to different business models within and across industries. In the following, significant accounting methods and challenges for different industries are reviewed, taking into account differences in firms’ business models. We will discuss external accounting and different management accounting systems and their appropriateness for different industries. In this context we will discuss also risk accounting. We will also talk about general and industry-specific regulation. In the following, we talk about ethical and environmental issues and how financial statements inform about what is sometimes called corporate citizenship. We will proceed with discussing how firms account for the profitability of their investments and which kind oc accounting they need for M&A transactions. 1. Business Models2. Financial Accounting3. Management Accounting I4. Management Accounting II5. Business Risk Management6. Financial Risk Management7. Regulatory Accounting and Competition8. Ethical and Environmental Accounting Issues9. Accounting for M&A I10. Accounting for M&A II11. Accounting for M&A III

Consumer Behaviour [MGT60140_]

Atalay, SelinModulkoordinator

Studiengang B.Sc.

Studienabschnitt -

Moduldauer -


Pflicht

Credits: 6

Jährlich

Sprache Englisch



Marketing




Stand (06/12/2018)

106 h

1. Scientific Approach to Consumer Behavior 2. How Consumers Acquire, Remember and Use Knowledge 3. How Consumers Make Decisions 4. Influence and Persuasion

Marketing begins and ends with consumers – from determining consumers’ needs to providing consumer satisfaction. As such, a clear understanding of consumers’ buying behavior is critical in successfully managing the marketing function. The purpose of this course is to introduce you to the study of consumer behavior. The role of research and the tools of scientific inquiry will be emphasized in order to illuminate the underlying behavioral and psychological constructs. Depth of understanding of these underlying constructs is a key to success in today’ s complex marketplace. Product lifecycles are shorter, market segmentsare smaller and more dispersed, and the competition is more intense than ever before. Upon completion of this course, students: •

•

•

Will have learned the key behavioral and psychological concepts and will have developed the intellectual ability to apply them in analyzing marketing situations.Will be able to understand consumers’ consumption–related behaviorsWill be able to develop and evaluate marketing strategies intended to influence consumption–related behaviors.


Workload: 150 h

Modulstruktur



Literaturhinweise


B.Sc.-Thesis



Stand (06/12/2018)

Lectures, in-class exercises, cases, active discussions and group work

Type of examination

Duration or length

Performance Points


Group Project 50 (written report 30 points, presentation 20 points)

Last day of class

In Class Participation

20 points Throughout the semester

Individual Assignments

50 points (2 assignments, 25 points each)

Throughout the semester

Will be provided in class.

The contents of the course are broken down into the following modules: 1. Scientific Approach to Consumer Behavior 2. How Consumers Acquire, Remember and Use Knowledgea. Attention, Comprehension, and Memory b. Attitudes and Attitude Formation 3. How Consumers Make Decisionsa. Judgment and Decision Makingb. Individual Differences 4. Influence and Persuasiona. Social Influence Principles and Persuasionb. Cultural Influences on Consumers

Supply Chain Management [MGT60223_]

Förstl, KaiModulkoordinator





Wahl

Credits: 6

Jährlich

Sprache Englisch



Operations Management (MGT50070)Statistics and ProbabilityMathematics



Stand (06/12/2018)

106 h

Supply chains are networks of organizations (suppliers, manufacturers, distributors, retailers) that jointly supply and transform materials, and distribute products and services to consumers. If designed and managed properly, these networks are a crucial source of competitive advantage for both manufacturing and service enterprises. Each day, world-class companies such as Amazon, Apple, Dell, and Zara try to leverage their supply chain management (SCM) capabilities to achieve profitable growth far ahead of their competition. This module develops a framework of Supply Chain drivers that helps students understand and predict the financial performance of a firm’s supply chain strategy.


Workload: 1 h





Stand (06/12/2018)

Knowledge:On successful completion of this module, students will have a thorough comprehension of the basic definitions, theories and concepts of supply chain management, i.e. they can: •

•

Skills:On successful completion of this module, students will have the proven ability to apply supply chain management concepts, i.e. they can: •

Competencies:On successful completion of this module, students can take responsibility for designing and implementing supply chain management concepts in organisations, i.e. they can: •

• •

understand how Supply Chain Management contributes to the financial performance of companies across a wide range of industries.define and distinguish different concepts of and approaches to SCM

develop and advance quantitative spreadsheet modeling skills that allow them to support qualitative arguments with solid quantitative analysis.

develop the requisite know-how to provide responsible contributions in establishing concepts and processes in supply chain management.independently take responsibility for SCM in practicepresent supply chain management challenges to a broad audience, and argue competently about problem solution strategies.

Lecture, Case Studies, Exercises

Type ofexamination

Duration or length

Performance Points


Supply Chain Simulation Game (in teams of four)


Take-home exam

40 End of the course

In-class participation


Examination requirements:The exam is designed around the assumption that the set of tools covered in the book chapters listed above have been thoroughly understood and can be applied to practical challenges. The examination tasks have the same level of difficulty as the practice problems included in the textbook and a mock exam handed out to the participants. Exams consist of both quantitative and qualitative challenges for Supply Chain managers.In-class participation is evaluated based on different contributions, e.g., problem presentations, group exercises, case study discussion, excel exercises, essays etc.

Modulstruktur

Literaturhinweise


Bachelor Thesis


Stand (06/12/2018)

The lecture is mostly based on the following textbook:Chopra and Meindl: Supply Chain Management: Strategy, Planning, and Operation, 6th edition, McGrawHill, 2014 Cachon and Terwiesch: Matching Supply with Demand: An Introduction to Operations Management, 3rd edition, McGraw Hill, 2012 The textbook can be found in the FS library in reasonable numbers (Signatures: DDC/Chopra).

The contents of the 11 sessions in total are built up as follows: Session 1 • Session 2 • •

Session 3 • • Session 4 •

Session 5 • • Session 6 •

• Session 7 • Session 8 • Session 9 • • Session 10 • •

Session 11 • •

Introduction SC Performance: Achieving Strategic Fit

Designing SC NetworksCase Study: Kiwi Medical Devices Ltd.- Is right shoring the right response

Dealing with UncertainDemand & Demand ForecastingIn Class Exercises

Introduction Supply Chain Simulation: The Fresh Connection (Round 1)

Procurement and Global SourcingCsea Study: Bronson Inc.

Inventory Management, Cycle Inventory, Safety InventoryMinimum Order QuantitiesIn Class Exercises

Supply Chain Simulation: The Fresh Connection (Round 2)

Triggers and Mitigation of the Bullwhip Effect

TUtorial / Q&A to prepare The Fresh Connection (Round 3)Coordination along the Supply Chain and Pooling Concepts

Late Differentiation and PostponementCase Study: Reebok NFL Replica Jerseys: A Case for Postponement

Sustainability along the Supply ChainCase Study: Child Labor of Child Care



Stand (06/12/2018)

Behavioural Models, Economics and Philosophy [SOC60131_]

Ebert, SebastianModulkoordinator


Studienabschnitt -

Moduldauer -


Pflicht

Credits: 6

Jährlich

Sprache Englisch



The course is intended as a first course in behavioral economic. Knowledge of classical finance theory and economics, in particular microeconomics, is required (about 1.5 years of Bachelor studies in economics or a related program).


1- Änderungen vorbehalten -SOC60131_

Stand (06/12/2018)

106 h

This course gives an overview of the established and yet growing field of behavioural economics and behavioural finance in particular. Behavioral economics posits that many financial and other economic phenomena may be better understood assuming that some individuals are less than fully rational. More generally, behavioural economics aims for psychologically more realistic explanations of economic phenomena. We touch/ cover topics such as: the foundations of behavioral economics in social and cognitive psychology (group, preference, and belief biases), decision making under uncertainty, time preferences and self-control, experimental economics, fairness, and selected topics in behavioral finance.


Workload: 150 h





Stand (06/12/2018)

Knowledge:On successful completion of this module, students will have a thorough comprehension of the fundamental ideas and approaches of behavioral economics, with a special focus on the sub-field of behavioral finance. They can: •

•

Skills: On successful completion of this module, students will have the proven ability to apply advanced knowledge that governs actual behavior in economic situations. They can analyze the application of behavioral concepts in different real-world settings that may involve, among others • • • Competences:On successful completion of this module, students can take responsibility to transfer concepts from behavioral economics to make better decisions for themselves and for others. The understanding and awareness of pitfalls such as overconfidence, overextrapolation, loss aversion, skewness preference, reference-dependence, narrow framing, myopia, or time-inconsistency makes them more competent in making and assessing investment decisions and many other intertemporal decisions that must be taken under risk and uncertainty.

Explain the main concepts and assumptions that behavioral economics and finance rests onExplain major insights that were achieved by employing concepts from behavioral economics

consumer purchasing decisionsrisk takinginvestment behavior

Teaching in this module will include traditional lectures and some exercises. Students need to be active and well-prepared, work in teams, and contribute regularly to in-class discussions.

Type ofexamination

Duration or length

Performance Points


In-class performance, in particular the presentation

60 minutes (presentation)

60 During a lecture (Presentation)

Exam 60 minutes 60 End of semester

Modulstruktur

Literaturhinweise


This course presents a psychologically more realistic approach to economics than is offered by much of classical economic theory. Behavioral economics assumes that some individuals are less than fully rational (are not a ?homo economicus?), and argues that many important economic phenomena are understood much better this way. Students will develop a broader, more informed, and more critical perspective on most other coursework in finance and economics.



Stand (06/12/2018)

Ariely, D. (2010): Predictably Irrational, Harper.Aronson, E., T. Wilson, and R. Akert (2010): Social Psychology, Prentice Hall.Barberis, N. C. (2013a): “Psychology and the Financial Crisis 2007-2008,” in FinancialInnovation: Too Much or Too Little?, ed. by M. Haliassos, 15–28.Barberis, N. C. (2013b): “The Psychology of Tail Events: Progress and Challenges,” American Economic Review Papers and Proceedings, 103, 611–616.Barberis, N. C. (2013c): “Thirty Years of Prospect Theory in Economics: A Review and Assessment,” Journal of Economic Perspectives, 27, 173–196.Barberis, N. C. and R. H. Thaler (2003): “A Survey of Behavioral Finance,” in Handbook of the Economics of Finance, ed. by G. Constantinides, M. Harris, and R. Stulz, 1052–1121.Cartwright, E. (2014): Behavioral Economics, Routledge.Dhami, S. (2016): The Foundations of Behavioral Economic Analysis, Oxford University Press.Kahneman D. (2011): Thinking, Fast and Slow, Farrar, Straus and Giroux.Thaler, R. and C. Sunstein (2008): Nudge, Yale University Press.

Class sessions will include lectures (including interactive discussions and some exercises) as well as presentations by students. 50% of the final grade is based on the in-class performance, i.e. the presentation as well as constructive participation during the lectures and other students’ presentations. An exam determines the remaining 50% of the final grade. Depending on the number of students participating in the course, presentations will be done in groups. More detailed information will be given in the syllabus.

FX Markets and Exchange Rate Determination [ECO60151_]

Donado, AlejandroModulkoordinator


Studienabschnitt -

Moduldauer -


Wahl

Credits: 6

Jährlich

Sprache Englisch



Macroeconomics (ECO40030)


1- Änderungen vorbehalten -ECO60151_

Stand (06/12/2018)

106 h

Contents 1. Introduction2. National Income Accounting and the Balance of Payments3. Exchange Rates and the Foreign Exchange Market: An Asset Approach4. Money, Interest Rates, and Exchange Rates5. Price Levels and the Exchange Rate in the Long Run6. Output and the Exchange Rate in the Short Run7. Fixed Exchange Rates and Foreign Exchange Intervention Module overview The module presents an introduction to the theory and practice of exchange rate determination and exchange rate policies under different monetary and exchange rate regimes. Students learn to understand how foreign exchange markets function under different exchange rate arrangements and which factors have an impact on foreign exchange rate determination over different time horizons.


Workload: 150 h

Modulstruktur



Literaturhinweise


Bachelor Thesis (BSc_BT)



Stand (06/12/2018)

Knowledge:On successful completion of this module, students will have a thorough comprehension of the institutional conditions, targets, strategies, and instruments of domestic exchange rate policies, i.e. they possess knowledge:about foreign exchange markets and foreign exchange market instruments,about the world financial architecture, andabout recent exchange rate developments and exchange rate arrangements. Skills:On successful completion of this module, the students will have the proven ability to:describe the structure and functions of the foreign exchange market,apply theoretical concepts and analytical tools in assessing major trends in foreign exchange rate developments, andexplain how monetary and fiscal policy affect the economy under different exchange rate regimes. Competencies:After finishing this module, students will be able assess:the major determinants of changes of foreign exchange rates,the major causes of foreign exchange rate changes, and currency turbulences, andthe causes and effects of balance of payments crises.

Type of Examintion

Duration or length

Performance Points

Date of exam

Written Exam 120 min. 120

Krugman, Paul R. / Obstfeld, Maurice / Melitz, Marc J. (2015), International Economics: Theory and Policy. Tenth edition, Boston et al. (Pearson).Feenstra, Robert C. / Taylor, Alan M. (2017), International Economics. Fourth edition, New York (Worth Publishers).

Challenges of the World Economy [ECO60110_]

Löchel, HorstModulkoordinator





Wahl

Credits: 6

Jährlich

Sprache Englisch



Macroeconomics (ECO40030)



Stand (06/12/2018)

106 h

The module analyses short and long-term challenges of the world economy and discusses possible solutions outlined in the World Economic Outlook and the Global Financial Stability Report published by the International Monetary Fund (IMF). Both reports analyze current features of the world economy and global financial markets respectively. A special focus is given to the analysis of the following areas: (i) the world business cycle, (ii) the sovereign debt crisis in advanced economies, (iii) the imbalances between advanced and emerging economies, (iv) the issues of financial stability and the changing business model of banks, (v) the future of the global currency system, and (vi) the globalisation crisis. The second pillar of the module is the discussion of respective macroeconomic policy actions, which can be basically divided in (i) fiscal and monetary policy, (ii) demand and supply side driven actions, and (iii) Monetarism vs.Keynesianism.


Workload: 150 h





Stand (06/12/2018)

Knowledge: On successful completion of the module students have gained a thorough comprehension of the main economic indicators of the global economy, i. e. they can • •

•

Skills: On successful completion of the module, students will have the proven ability to analyse potential challenges of the world economy and discuss possible solutions, i.e. they are able to •

•

•

Competence: On successful completion of the module, students are familiarized with macroeconomic research and analysis as well as enabled to select and use relevant macroeconomic data and information. Thus, they are able to integrate economic insights in future everyday work and decision making.

identify sources and mechanism of the development of growth,explain the inflation and interest rates, budget and current account deficits.summarise the global business outlook by focusing on the main economic players US, EU, China and other Emerging Markets.

evaluate the quality of different economic forecasts of the world economy (e.g. IMF, OECD) their strengths and weaknesses.assess the political opportunities, risks and options regarding economic, fiscal and monetary policy.analyze and understand macroeconomic relationships

Case-study based participated centered learning. Brainstorming of learning groups and presentation of the group’s results of case studies.

Type of examination

Duration or length

Performance points


Written exam 60 min. 60 End of semester

Team presentation

30 min. incl. Q&A

40 During semester

Individual performance in class

Continuous 20 Continuous

The points in each category are maximum point that can be achieved. Examination requirements: Continuous course participation. Excused missing is only possible in two sessions. Absence of more than two session leads automatically to a downgrading of the individual performance grade by 5 points for each addional missed session.

Modulstruktur

Literaturhinweise


The module is part of the thematic area ?Economics?, but the gained insights and competencies are beneficial for the economic comprehension in modules of other areas as well.



Stand (06/12/2018)

•

•

•

•

•

•

BIS, Annual Report, current issue

IMF, World Economic Outlook, current issue

Mankiw, N. Gregory, Macroeconomics, Boston 2016

Brunnermeier et al: The Euro and the Battle of Ideas, Princeton University Press, 2016

Gordon: The Rise and Fall of American Growth, Princeton University Press, 2016

Mervyn Kind: The End of Alchemy: Money, Banking and the Future of the Global Economy, Little, Brown, 2016

I. II. III. IV. V. VI. VII. VIII.

Challenges of the world economy Global Macroeconomic Policy The rise of China The globalisation crisis Global Economic Powerhouses and Institutions Economic Challenges of the European Union and the Euro Area Germany's role in the world economyConclusion

Doing Business in India [SOC60197_]

Bhardwaj, GunjanModulkoordinator


Studienabschnitt -

Moduldauer -


Pflicht

Credits: 6

Jährlich

Sprache Englisch



General Knowledge, awareness and inquisitiveness




Stand (06/12/2018)

106 h

India, 5th largest Economy in the world, is a land of opportunities. In this module, students will not only learn about how to go about finding opportunities and doing business in India but also learn about the rich history of India from social, political and economic perspective. The course will also talk about how to identify an opportunity, how to work out a business plan around it and things to take care before starting up a business in general, not only in India.

Knowledge:On successful completion of this module, students •

• Skills:On successful completion of this module, students can • •

Competencies: • •

•

•

Will be aware of the rich cultural, political and economic history of IndiaKnow how rules and regulations impacting businesses in India

Develop and present a business planRecognise and assess how do several rules and regulations impact a business

Can start their own businessCan work as analysts for companies with direct business ties in IndiaCan work as analysts for corporations where application of International knowledge is requiredCan work as analysts in start-ups with International operations


Workload: 150 h

Modulstruktur



Literaturhinweise


Bachelor?s Thesis



Stand (06/12/2018)

The teaching methods used for the course will be very interactive and provide a fun learning Experience. In addition to the presentation by the lecturer, the class will be split into various groups who will in turn research upon several topics ranging from Indian history, economy to starting up a business and share their knowledge with the students; this will enhance their comprehension and presentation skills. The module will also include few sessions from people who epitomize the German-Indo ties.

Type ofexamination

Duration or length

Performance Points


Presentation 20 mins 40 During the semester

Research Write-Ups

3 x 1 page 30 During the semester

Essay 3.000 words 50 End of Semester

A list of literature will be provided at the start of semester, most of which will be available online.

1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12.

13.

14.

Current Indian economy – overviewIndia through the agesEconomic history of IndiaIndian cultureJugaad/ Frugal Innovation – concept and few case studiesSuccess stories on Indian business ecosystemToday’s IndiaStartup culture in IndiaLand of Billion – land of opportunitiesAI/ Machine learning – boon or bane to India?How to identify opportunity and build a business plan.Ease of doing business in India, how can a German open a business in IndiaExamples of successful German companies in India and their experiencesVarious avenues/ opportunities for the course students

International Healthcare Business [SOC60120_]

Gandjour, Afschin; Sibbel, RainerModulkoordinator





Wahl

Credits: 6

Jährlich

Sprache Englisch



General knowledge based on completed secondary education.



Stand (06/12/2018)

106 h

The first part of the module focuses on healthcare system management and economics and will provide participants with an overview to the different areas of health economics, current trends and developments and analyse and compare various health systems from around the world. The second part the module addresses the flow of services within the healthcare industry and the potentials and challenges of health care value chains. Students will analyse trends in the international trade of healthcare services. More specifically, topics include: • • • • • • • • Lectures will be scheduled throughout the course of the semester. As a complement to lectures, students will hear from experts on healthcare who come from industry and academia and will discuss with them on current healthcare business and industry topics.

Overview to health economics Basic operation of health systems worldwide Types and institutions of health systems Health system regulation Economic evaluation of pharmaceuticals and medical devices Healthcare industry segments and globalisation Healthcare value chain International healthcare business models


Workload: 150 h





Stand (06/12/2018)

Knowledge:On successful completion of this module, students will have a thorough comprehension of the fundamentals of the structure, segments and strategies of healthcare business, i.e. they can: •

•

• Skills:On successful completion of this module, students will have the skills to judge specific situations in healthcare business, such as: •

• Competencies:After finishing this module students will be able to conduct independent research and analyze healthcare systems from an economic and business point of view, i.e. they can: •

Understand the role of healthcare as growing business worldwide and major driver of economic development,Identify the fundamentals of the structure, functions and the basic types of healthcare systems,Understand the role in the different national environments.

Describe and analyse current healthcare systems and business areasIdentify the interests and policies of the different stakeholders.

Undertake research and process information on the healthcare industry and its business opportunities.

Lecture, student presentations, guest speakers, discussions with experts and academics on current healthcare business and industry topics.

Type ofexamination

Duration or length

Performance points


Written exam 60 minutes 60 During semester

Team presentations

30 minutes 60 End of semester

Additional requirements / information:As an alternative to the written exam students can also select an oral exam over 20 minutes (60 performance points). Team presentations – Students will be grouped and should work out a comprehensive presentation focussing on a specific international healthcare business model respectively industry segment.

Modulstruktur

Literaturhinweise


Bachelor Thesis



Stand (06/12/2018)

•

•

•

•

•

•

•

R. E. Santerre, S. P. Neun (2007): Health Economics, 4th ed., Thomson

J. Figueras, R. Robinson, E. Jacobowski (2004): Purchasing to improve health system performance. Ch 2. Buckingham UK: Open University Press

C. Scott (2001): Public and private roles in health care systems. Buckingham UK: Open University Press

R. Robinson, A. Steiner (1998): Managed Health Care.Ch 1. Buckingham UK: Open University Press

M. Drummond, B. O’Brien, G. Stoddart, G. Torrance (1997): Methods for the Economic Evaluation of Health Care Programmes Oxford UK: Oxford university Press

C. Blouin (2005): International Trade in Health Services and the GATS: Current Issues and Debates. World Bank Publications

L. R. Burns (2002): The Health Care Value Chain. John Wiley & Sons

Topics include: • • • • • • • •

Overview to health economics Basic operation of health systems worldwide Types and institutions of health systems Health system regulation Economic evaluation of pharmaceuticals and medical devices Healthcare industry segments and globalisation Healthcare value chain International healthcare business models

Negotiation [SOC60127]

Catón, MatthiasModulkoordinator

Studiengang BSc

Studienabschnitt Advanced Study Phase

Moduldauer -


Wahlpflicht

Credits: 6

Jährlich

Sprache Englisch



none




1- Änderungen vorbehalten -SOC60127

Stand (06/12/2018)

106 h

We negotiate constantly in our lives – with friends and family, our partners but obviously also in a business context. In this module, students will learn the basic concepts and frameworks of negotiation. Special situations, such as negotiating in an intercultural context and in circumstances of conflict, will also play a role.

Knowledge:On successful completion of this module, students • •

Skills:On successful completion of this module, students can •

• • Competencies:On successful completion of this module, students can •

know different frameworks for negotiationare aware of important cognitive and emotional factors that influence negotiations

analyze a negotiation situation and identify different positions and interestsclarify their interests and define optionsconduct negotiations in a productive way

lead negotiations to mutually successful outcomes

Through lectures, exercises and simulations students will grasp how biases influence our perception and how we can apply different strategies to negotiate successfully.


Workload: -

Modulstruktur


Literaturhinweise


none


2- Änderungen vorbehalten -SOC60127

Stand (06/12/2018)

Type ofexamination

Duration or length

Performance Points


Exam 60 minutes 60 Mid-term exam week

Case studies and presentation

40 In class

Peer evaluation 20 In class

Course material and readings will be provided online.

Different individual sessions and an intensive workshop weekend will combine theoretical aspects and applied negotiation.

Grundlagen des Unternehmensrecht [LAW60111_]

Redenius-Hövermann, JuliaModulkoordinator

Studiengang B.Sc.


Moduldauer -


Wahl

Credits: 6

Jährlich

Sprache Deutsch



Principles of Private Law (LAW40010)Wirtschaftsprivatrecht (LAW40020)


1- Änderungen vorbehalten -LAW60111_

Stand (06/12/2018)

117 h

Im SoSe 2019 werden insbesondere während der Vorlesung die folgenden Rechtsgebiete, auch anhand von Übungsfällen, behandelt: 1. 2.

3. 4. Nach dem Vorlesungsteil wird jeder Student eine kurze Ausarbeitung (Paper) zu einem unternehmensrechtlichen Thema schreiben, welches dann im Rahmen einer Einzelsupervision abschließend besprochen wird.

Grundlagen des Gesellschaftsrechts/Corporate GovernanceUnternehmensfinanzierung (Stammkapital, Kapitalaufbringung, -herabsetzung, -erhöhung)UmwandlungsrechtInsolvenzrecht


Workload: 150 h

Modulstruktur




Literaturhinweise


Stand (06/12/2018)

Kenntnisse:Nach erfolgreichem Abschluss des Moduls, kennen die Studierenden die Grundlagen des Unternehmensrechts. Sie sind in der Lage: • •

•

•

•

• Fertigkeiten:Nach erfolgreichem Abschluss des Moduls, können die Studierenden die Grundlagen des Unternehmensrechts anwenden, sie sind in der Lage: •

• Kompetenzen:Nach erfolgreichem Abschluss des Moduls, sind die Studenten in der Lage: •

•

Handelsrechtliche Grundlagen zu erläutern;Unternehmensformen (in ihrer Organisation und Finanzierung) zu unterscheiden und zu entscheiden, welche Unternehmensform sich am besten für einen Sachverhalt eignet. Auch können sie die verschiedenen Haftungsformen der Gesellschafter und Geschäftsleiter erläutern;Umwandlungsarten darzustellen und zu entscheiden, welche Art am besten für einen Sachverhalt geeignet ist.Handelsrechtliche Sachverhalte (Kaufmann, Firma, Registerpublizität) zu unterscheiden;insolvenzrechtliche Fragen zu verstehen, und insb. die verschieden Insolvenzarten und Insolvenzverfahren zu unterscheiden;auch werden die verfahrensrechtlichen Grundlagen dargestellt.

kleinere Mandantenmemos zu verfassen mit rechtlichen Sachverhaltenunternehmensrechtliche Gesetzestexte auszulegen

unternehmensrechtliche Sachverhalte zu analysieren und zu verstehen.unternehmensrechtliche Sachverhalte mit Rechtsanwälten und Unternehmensjuristen zu diskutieren.

Die Vorlesung besteht aus einer Einführung in die verschiedenen Themengebiete, kleinere Übungsfälle werden besprochen, Einblicke aus der Praxis werden gewährt. Die Ausarbeitung soll das Wissen festigen und das Verfassen der Bachelorarbeit vorbereiten.

Type ofexamination

Duration or length

Performance Points


Supervision 40

Ausarbeitung 80

Kindl, Gesellschaftsrecht, 2011

•

•

•

•

Kraft/Redenius, Umwandlungsrecht, Lehrbuch, 2015

Langenbucher, Aktien- und Kapitalmarktrecht, 3. Aufl., 2015

Raiser/Veil, Recht der Kapitalgesellschaften, 5. Aufl., 2010

Tonner/Krüger, Bankrecht, 2014

Das Modul „Grundlagen des Unternehmensrechts“ stellt eine Vertiefung der Vorlesung „Wirtschaftsprivatrecht“ dar.


BA-Thesis; M&A/Banken/Beratung



Stand (06/12/2018)

Human and Machine Predictions [SOC60177_]

Witkowski, JensModulkoordinator


Studienabschnitt 6. Semester

Moduldauer -


Wahl

Credits: 6

Jährlich

Sprache Englisch



Understanding of basic mathematical concepts (basic calculus, algebra, and probability) is required. While this course is an excellent companion to courses in machine learning, analytics, and game theory, no such course is a prerequisite. All required concepts will be introduced in class.


Stand (04/02/2019)

106 h


Workload: 150 h



Stand (04/02/2019)

Behind every informed decision lies a sound prediction. Despite the increasing availability of “big” data and recent advances in algorithmic predictions, the most important strategic decisions still require human judgment. When relevant information is dispersed across people with varying knowledge and expertise, organizations need to address the key questions of crowd-sourced prediction and decision-making: Who are the experts in the crowd? What is the best way to aggregate the experts’ judgments? How can we prevent bias, “gaming,” and groupthink? As an example, both government agencies and private entities such as investment banks, insurance companies, and hedge funds use crowd-sourced forecasting methods to obtain accurate predictions about geopolitical and financial questions, such as “What is the probability of a military conflict in the South China Sea before Dec 31, 2019?” or “Will the price of Bitcoin be below $3000 on July 31, 2019?” Similarly, fashion retailers, such as Zara and h&m, rely on human predictions about color and fabric trends of the coming seasons. Google uses prediction markets to predict events relevant to company profitability, including the number of users for Gmail and the quality rating of Google Talk. Moreover, supervised machine learning requires large amounts of human-annotated data to be trained successfully. Amazon’s Mechanical Turk enables companies to crowd-source the annotation process – but how can we ensure that crowd workers invest the necessary effort, so that the annotations are meaningful to begin with? And how can facebook identify whether something reported to be “fake news” really is just against popular opinion? This course equips the participants with the tools required to address these challenges, allowing them to turn the wisdom of the crowds into superior decisions for the organization.





Stand (04/02/2019)

Knowledge:On successful completion of this module, students will have an in-depth understanding of crowd-sourced predictions, e.g., they will be able to: •

• •

Skills: On successful completion of this module, students will have the proven ability to apply the learned concepts and tools, and adapt them to the setup in their future organization, e.g., they will be able to: • • •

Competences:On successful completion of this module, students can take responsibility to transfer the learned concepts and apply the tools to real-world, high-uncertainty situations, such as high-stakes management or investment decisions. For example, they will be able to: •

•

Explain when to use statistical and machine learning methods, and when it is advised to draw on human expertiseKnow how to interpret and evaluate probabilistic predictionsUnderstand how forecasting tools, such as prediction markets, are used in organizations to tap into crowd wisdom to improve decision making

Design forecasting systems that are not “gameable”Devise simple but powerful forecast aggregation methodsIdentify knowledgeable people in their organization even if the majority of people is wrong

Present and illustrate prediction and forecasting challenges to a broad audienceArgue competently about problem solution strategies

Class sessions will include traditional lectures, interactive discussions, games that illustrate key concepts, real-world case study discussions, short exercises, as well as student presentations. Participants are expected to cover the course content by preparation and follow-up work. They are also expected to work in teams and contribute to in-class discussions

Type ofexamination

Duration or length

Performance Points


Assignments / Quizzes

75 minutes 75 TBD

Student presentation

45 minutes 45 During a lecture

Three assignments/quizzes determine 5/8 of the final grade. The remaining 3/8 of the final grade are based on the student presentation. Depending on the number of students participating in the course, presentations might be done in groups.

Modulstruktur

Literaturhinweise


Stand (04/02/2019)

James Surowiecki. “The Wisdom of Crowds.” 2005. Philip E. Tetlock and Dan Gardner. “Superforecasting: The Art and Science of Prediction.” 2015. Thomas W. Malone. “Superminds: The Surprising Power of People and Computers Thinking Together.” 2018. Coles, Peter A., Karim R. Lakhani, and Andrew P. McAfee. “Prediction Markets at Google.” Harvard Business School Case 607-088, May 2007. (Revised August 2007.) Robert L. Winkler and Victor Richmond R. Jose. “Scoring Rules.” Wiley Encyclopedia of Operations Research and Management Science. 2011. Pavel D. Atanasov et al. “Distilling the Wisdom of Crowds: Prediction Markets versus Prediction Polls.” Management Science, 63(3), 2016. Dra?en Prelec. “A Bayesian Truth Serum for Subjective Data.” Science, 306(5695):462–466, 2004. Dra?en Prelec, H. Sebastian Seung, and John McCoy. “A solution to the single-question crowd wisdom problem.”Nature, 541(7638):532–535, 01 2017. Kleinberg, Jon, Jens Ludwig, Sendhil Mullainathan, and Ashesh Rambachan. 2018. "Algorithmic Fairness." AEA Papers and Proceedings, 108 : 22-27. Further literature will be announced during the course

The course is divided into three parts: The first part comprises a brief introduction to mechanism design (a subfield of game theory), where the objective is to design the “rules of the game,” such that self-interested agents act optimally from the system designer’s perspective. In our context, this will mean that we seek to design rules that incentivize agents to reveal private information to us truthfully, such as a bidder’s true valuation for an item on eBay. In the second part, we will study probabilistic forecasting systems. We will learn how to incentivize forecasters to reveal their true beliefs about events, how to aggregate forecasts, and how to identify the most accurate forecasters in a crowd. For example, we will understand what prediction markets are and how Google uses them to make better decisions. The third part focuses on the interaction between algorithmic predictions and humans. For example, we will learn how humans can be incentivized to provide algorithms with high-quality labels, e.g., regarding entrepreneurial ability of loan applicants in microfinance or the detection of fake news on facebook. We will also learn about recent research on algorithmic fairness.


Accurate predictions are the basis for making good decisions under uncertainty. As such, this course gives students a rich set of tools that is applicable to a wide variety of courses in areas such as management, finance, operations, and data science.



Stand (04/02/2019)

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