C15 Alternative Investments
C15 Alternative Investments
Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Finance
Project Description
- Overview on different Forms and Asset Classes of Alternative Investments
- Chances and Risks of Alternative Investments
- Alternative Investments in a Portfolio Context
- Regulation of Alternative Investments
- Socially Responsible Investments and Impact
- Alternative Investments and Corporate Governance
Teaching Method
- Interactive lecture with discussion.
- Guest lectures by business leaders to show how theory is transferred into practice.
- Case studies could be offered and discussed in class.
Learning Results
After successful completion of this course, students
- understand the characteristics of specific types of alternative Investments
- know how to Interpret empirical results of specific types of alternative Investments
- know how to evaluate specific types of alternative Investments
- are capable to understand and evaluate the impact of alternative Investments on asset management portfolios
- have a clear understanding of sustainable finance and their financial and non-financial Impact
Assessment Methods
See lectures within the module.
C15 Research Seminar Data Science
C15 Research Seminar Data Science
Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems
Project Description
Short description
The course focuses on developing research proposals in the field of data science.
Topics
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
Teaching Method
The module integrates theoretical knowledge and practical skills in an interactive seminar.The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.
Learning Results
- Students will know the professional code of conduct of the academic IS discipline.
- Students will effectively communicate academic research designs.
- Students will produce rigorous research proposals in the area of data science.
- Students will recognize and analyze ethical problems of designing and conducting research in the field of data science.
Assessment Methods
An attendance of min. 80% is necessary to obtain a positive grade in this course.
Seminar Paper (100%)
Seminar Paper (100%)
C15 Research Seminar BPM
C15 Research Seminar BPM
Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems
Project Description
Short description
The course focuses on developing research proposals in the field of business process management.
Topics
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
Teaching Method
The module integrates theoretical knowledge and practical skills in an interactive seminar.The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.
Learning Results
- Students will know the professional code of conduct of the academic IS discipline.
- Students will effectively communicate academic research designs.
- Students will produce rigorous research proposals in the area of business process management.
- Students will recognize and analyze ethical problems of designing and conducting research in the field of business process management.
Assessment Methods
An attendance of min. 80% is necessary to obtain a positive grade in this course.
Seminar Paper (100%)
Seminar Paper (100%)
C15 Project Seminar Data Science
C15 Project Seminar Data Science
Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems
Project Description
In this course, students apply acquired data science knowledge and skills to solve a real-world business problem from the area of marketing, finance, or operations.Topics may include
- Supervised learning (regression, classification)
- Unsupervised learningText mining
- Social network analysis
- Assessing model quality
- Assessing technologies
Teaching Method
The module integrates theoretical knowledge and practical skills in a seminar focusing on a real-world case. The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.
Learning Results
- Students will analyze a real-world case through the data science lens
- Students will collect and prepare data for later analysis
- Students will build and evaluate statistical models
- Students will translate statistical models into actionable results
- Student will work together as a team
Assessment Methods
An attendance of min. 80% is necessary to obtain a positive grade in this course.
A final report and two presentations will be graded.
A final report and two presentations will be graded.
C15 Project Seminar BPM
C15 Project Seminar BPM
Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems
Project Description
Short description
Process management refers to the operation, improvement and innovation of business processes. In the course, students apply fundamental frameworks, models, and methods in process management.
Topics
Process management refers to the operation, improvement and innovation of business processes. In the course, students apply fundamental frameworks, models, and methods in process management.
Topics
- Business process operation
- Business process change
- Strategic alignment
- Governance
- Quality management
- Six sigma
- Process management skills
- Organizational culture
Teaching Method
The module integrates theoretical knowledge and practical skills in a seminar focusing on a real-world case.The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.
Learning Results
- Students will analyze a real-world case of a specific industry through the lens of process management knowledge.
- Students will integrate knowledge to identify areas of improvement or innovation.
- Students will use appropriate methods to develop recommendations for a case company.
- Students will identify and define meaningful skill sets for seminar groups.
Assessment Methods
An attendance of min. 80% is necessary to obtain a positive grade in this course.
C15 Process Management
C15 Process Management
Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems
Project Description
Short description
Process management refers to the operation, improvement and innovation of business processes. The course covers fundamental frameworks, models, and methods in process management.
Topics
Process management refers to the operation, improvement and innovation of business processes. The course covers fundamental frameworks, models, and methods in process management.
Topics
- Business process operation
- Business process change
- Strategic alignment
- Governance
- Quality management
- Six sigma
- Process management skills
- Organizational culture
Teaching Method
- The module integrates theoretical knowledge and practical skills based on an interactive lecture.
- The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.
Learning Results
- Students will know the foundations and the emergence of process management (e.g. business process re-engineering, total quality management).
- Students will understand the goals of process management (e.g. time, cost, quality, sustainability).
- Students will be able to apply the core elements of process management (strategic alignment, governance, methods, technologies, people, culture).
- Students will integrate knowledge to understand the benefits and competitive advantages of a holistic process management approach.
- Students will know key principles of good process management.
Assessment Methods
Written exam (90 min)
C15 Process Implementation
C15 Process Implementation
Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems
Project Description
Short description
The course covers conceptual foundations, methods, and technologies for implementing and managing business processes with the help of IT. In particular, students will learn how to automate and monitor software-based business processes and mine process execution logs.
Topics
The course covers conceptual foundations, methods, and technologies for implementing and managing business processes with the help of IT. In particular, students will learn how to automate and monitor software-based business processes and mine process execution logs.
Topics
- Petri-net foundations of process automation
- Business process management systems
- Process mining
Teaching Method
- The module integrates theoretical knowledge and practical skills based on an interactive lecture. The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.
Learning Results
- Learning objectivesStudents know and understand foundational concepts and methods of process automation (workflow management)Students know and understand foundational concepts and methods of process miningStudents design and develop executable business processesStudents apply analytical techniques to mine business process logs
Assessment Methods
Written exam (90min)
C15 Process Analysis
C15 Process Analysis
Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems
Project Description
Short description
The course focuses on process analysis, including approaches and methods for designing, analyzing and simulating business processes in organizations.
Topics
The course focuses on process analysis, including approaches and methods for designing, analyzing and simulating business processes in organizations.
Topics
- Introduction to process analysis
- Basics of Process modeling
- Advanced Process modeling
- Qualitative approaches to process analysis
- Quantitative approaches to process analysis
- Process simulation
- Process improvement
Teaching Method
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.
Learning Results
- Students will know how processes can be modeled, analyzed, simulated and improved.
- Students will know basic and advanced methods of process modeling in order to analyze, design, and implement information systems in organizations.
- Students will use both qualitative and quantitative methods of process analysis and simulation in order to analyze, design, and improve business processes in organizations.
- Students will learn four ways to process improvement.
Assessment Methods
Written exam (90 minutes)
C15 Decision Theory
C15 Decision Theory
Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems
Project Description
Short description
The course focuses on judgment and decision making, with emphasis on how decisions deviate from rational and/or ethical standards, with applications in human-computer interaction.
Topics
The course focuses on judgment and decision making, with emphasis on how decisions deviate from rational and/or ethical standards, with applications in human-computer interaction.
Topics
- Introduction to decision making under certainty and risk
- Measuring and modeling individual risk preferences
- Heuristics in decision making
- Biases in decision making
- Emotions in decision making
- Designing decisions on websites
Teaching Method
- 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.
Learning Objectives
- Students will know how decisions can be influenced by various human biases and how to improve individual decisions.
- Students will know basic methods of decision making in order to overcome human biases.
- Students will use methods of decision making in order to improve business decisions in organizations.
Assessment Methods
Written exam (90 minutes)
C15 Advanced Corporate Finance
C15 Advanced Corporate Finance
Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Finance
Project Description
- Cost of capital and capital budgeting Discounted cash flow valuation and financial multiples Payout policy Equity and debt financing Applications of option pricing theory Corporate control and recapitalizationsEnterprise Risk Management
Teaching Method
Exercise
Learning Results
- After successful completion of this course, studentsare able to apply relevant concepts of corporate finance on an advanced levelknow how to integrate and implement theoretical knowledge in solving practical problemsare able to explain coherences in financial divisions of undertakings active in global competitionexpand the ability to participate in a critical dialogue within the framework of a team projectdescribe enterprise risk management (ERM) and compare and contrast differing definitions of ERM, distinguish between components of an ERMcompare the benefits and costs of ERM and describe the motivations for a firm to adopt an ERM initiativedescribe the role and responsibilities of a chief risk officer (CRO) and assess how the CRO should interact with other senior management
Assessment Methods
See lectures within the module.