C15 Project Seminar Data Science
C15 Project Seminar Data Science
Module Coordinator/Lecturers
Study Programmes
Masterstudiengang Information Systems (MSc IS 15)
(01.09.2015)
Project Description
Short 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
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 learning
- Text mining
- Social network analysis
- Assessing model quality
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
Assessment Methods
Prototype creation, presentation
C15 Project Seminar BPM
C15 Project Seminar BPM
Module Coordinator/Lecturers
Study Programmes
Masterstudiengang Information Systems (MSc IS 15)
(01.09.2015)
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.
C15 Process Management
C15 Process Management
Module Coordinator/Lecturers
Study Programmes
Masterstudiengang Information Systems (MSc IS 15)
(01.09.2015)
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.
Literature
Compulsory reading
Further reading
- The students will be provided with the lecture slides and supporting materials throughout the course.
Further reading
- vom Brocke, J., & Rosemann, M. (Eds.). (2010). Handbook on business process management. Berlin: Springer.
Assessment Methods
Written exam (90 min)
C15 Process Implementation
C15 Process Implementation
Module Coordinator/Lecturers
Study Programmes
Masterstudiengang Information Systems (MSc IS 15)
(01.09.2015)
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
- Foundations of process automation
- Workflow management systems (e.g., YAWL)
- Process mining (e.g., ProM)
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 objectives
- Students know and understand foundational concepts and methods of process automation (workflow management)
- Students know and understand foundational concepts and methods of process mining
- Students design and develop executable business processes
- Students apply analytical techniques to mine business process logs
Literature
Compulsory reading
Further reading
- Dumas, M., La Rosa, M., Mendling, J., Reijers, H. (2013). Fundamentals of Business Process Management. Berlin: Springer.
- Russell, N., Van Der Aalst, W., Ter Hofstede, A. (2016): Workflow Patterns: The Definitive Guide. Cambridge, MIT Press.
Further reading
- Ter Hofstede, A., Van der Aalst, W., Adams, M., Russell, N. (2010). Modern Business Process Automation. Berlin: Springer.
- Van der Aalst, W. (2011). Process Mining: Discovery, Conformance and Enhancement of Business Processes. Berlin: Springer.
Assessment Methods
Written exam (90min)
C15 Process Analysis
C15 Process Analysis
Module Coordinator/Lecturers
Study Programmes
Masterstudiengang Information Systems (MSc IS 15)
(01.09.2015)
Project Description
Short description
The course focuses on process analysis, including approaches and methods for designing, analyzing and simulating processes in organizations.
Topics
The course focuses on process analysis, including approaches and methods for designing, analyzing and simulating processes in organizations.
Topics
- Introduction to process analysis
- Process modeling and design
- Process flow analysis
- Process simulation
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, and simulated.
- Students will know basic methods of process modeling in order to analyze, design, and implement information systems in organizations.
- Students will use methods of process flow analysis and simulation in order to analyze, design, and improve business processes in organizations
Literature
Compulsory reading
Further reading
- Laguna, M. & Marklund, J. (2013): Business Process Modeling, Simulation and Design, CRC Press: Boca Raton.
Further reading
- vom Brocke, J. & Rosemann, M. (Eds.) (2014). Handbook of Business Process Management. Springer: New York.
Assessment Methods
Written exam (90 minutes)
C15 Process & Data Management
C15 Process & Data Management
Module Coordinator/Lecturers
Study Programmes
Masterstudiengang Information Systems (MSc IS 15)
(01.09.2015)
Project Description
- Short descriptionThe course focuses on data management and process management, which are complementary approaches for developing and implementing information systems in organizations.TopicsIntroduction to process and data managementInformation management, data management, and IS strategyProcess modelingData modelingReference models
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 information systems can be described from different, complementary perspectives.Students will know basic methods of data and process modeling in order to analyze, design, and implement information systems in organizations.In exercises, students will use methods of data and process modeling in order to analyze, design, and implement information systems in organizations.
Literature
Compulsory reading
- Becker, J., Kugeler, M., & Rosemann, M. (Eds.). (2014). Process Management: A Guide for the Design of Business Processes (2. ed.). Springer.
- Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. A. (2013). Fundamentals of business process management (pp. I-XXVII). Heidelberg: Springer.
- Watson, R. T. (2016). Data management, databases and organizations (6. ed.). John Wiley & Sons.
Assessment Methods
Written Exam (60 min)
C15 Management Information Systems
C15 Management Information Systems
Module Coordinator/Lecturers
Study Programmes
Masterstudiengang Information Systems (MSc IS 15)
(01.09.2015)
Project Description
- Short descriptionThe course focuses on management information systems, which are large-scale application software packages that support end-to-end processes, information and document flow, reporting, and data analytics in different organizational settings.TopicsEnterprise ApplicationsE-CommerceManaging KnowledgeEnhancing Decision MakingBuilding Information SystemsManaging Projects and Global SystemsCase study: Enterprise processes in SAP
Teaching Method
- The module integrates theoretical knowledge and practical skills in interactive lectures and seminars focusing on hands-on experience with SAP software.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 fundamental concepts and definitions in the area of enterprise systems and application systems like ERP, CRM, and SCM systems.Students will understand the benefits of management information systems for sustainable competitive advantage and describe their relevance for process integration along the value chain. Students will assess the applicability of software solutions in different business scenarios using comprehensive evaluation schemes.In a case setting, students will identify business problems that typically emerge in the design and use of enterprise systems and develop solutions.
Literature
Compulsory reading
Papers and case study material will be provided in class.
Further Reading:
Giachetti, R. E. (2010). Design of Enterprise Systems: Theory, Architecture, and Methods. Boca Raton: CRC Press.
Snabe J.H., Rosenberg A., Moller C., Scavillo M. (2009). Business Process Management: The SAP Roadmap. Bonn, Boston: Galileo Press.
Papers and case study material will be provided in class.
Further Reading:
Giachetti, R. E. (2010). Design of Enterprise Systems: Theory, Architecture, and Methods. Boca Raton: CRC Press.
Snabe J.H., Rosenberg A., Moller C., Scavillo M. (2009). Business Process Management: The SAP Roadmap. Bonn, Boston: Galileo Press.
Assessment Methods
Seminar: Seminar paper, Presentation
Lecture: Written exam (90 min)
Lecture: Written exam (90 min)
C15 Innovation Lab I
C15 Innovation Lab I
Module Coordinator/Lecturers
Study Programmes
Masterstudiengang Information Systems (MSc IS 15)
(01.09.2015)
Project Description
Short description
In the first Innovation Lab, students collaboratively develop innovative solutions for real-life business problems in product and process design.
Topics
In the first Innovation Lab, students collaboratively develop innovative solutions for real-life business problems in product and process design.
Topics
- Creativity
- Innovation
- Problem-solving
- Project management
- Teamwork
- Presentation
Teaching Method
- The module involves interactive seminars with workshops and regular presentations.
- Together with the faculty, a jury of representatives from regional companies evaluates their solutions against innovativeness and usefulness and provides them with feedback and advice.
- The e-learning platform Moodle will be used for the dissemination of course material and discussions.
Learning Results
- Students will demonstrate their ability to work in a team to solve contemporary business problems.
- Students will show they can plan and organize projects under time pressure and competition.
- Students will use common creativity techniques and problem-solving tools and methodologies and demonstate they can think creatively to create innovative business solutions.
- Students will understand there are different ways of looking at new problems as they will develop alternative approaches to solving the problems they are assigned with.
- Students will deliver professional quality presentations to a demanding audience.
Literature
- The students will be provided with a reader and all lecture slides and supporting materials.
Assessment Methods
Seminar paper; presentations (mid-term, final)
C15 Decision Theory
C15 Decision Theory
Module Coordinator/Lecturers
Study Programmes
Masterstudiengang Information Systems (MSc IS 15)
(01.09.2015)
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.
Literature
Compulsory reading
Further reading
- Hastie, R. & Dawes R. M. (2010). Rational Choice in an Uncertain World. Sage: London.
Further reading
- Baron, J. (2008). Thinking and Deciding. Cambridge University Press: Cambridge.
- Bazerman, M. H. & Moore, D. A. (2009). Judgment in Managerial Decision Making. John Wiley & Sons, Inc: New York.
- Hammond, J. S., Keeney, R. L., & Raiffa, H. (1999). Smart Choices. A Practical Guide to Making Better Decisions. Havard Business Review Press: Harvard.
- Johnson, J. (2010). Designing with the Mind in Mind. Elsevier: Burlington.
- Kahneman, D. (2011). Thinking, Fast and Slow. Penguin Books: London.
Assessment Methods
Written exam (90 minutes)
C15 Data Mining & Predictive Analytics
C15 Data Mining & Predictive Analytics
Module Coordinator/Lecturers
Study Programmes
Masterstudiengang Information Systems (MSc IS 15)
(01.09.2015)
Project Description
Short description
The course covers various statistical techniques for making sense of the vast and complex data sets that have emerged in business in the past twenty years. Students will learn to detect patterns in large data sets of various formats (quantitative and qualitative) and translate them into actionable insights.
Topics
The course covers various statistical techniques for making sense of the vast and complex data sets that have emerged in business in the past twenty years. Students will learn to detect patterns in large data sets of various formats (quantitative and qualitative) and translate them into actionable insights.
Topics
- Supervised learning techniques for regression (e.g. linear regression)
- Supervised learning techniques for classification (e.g. classification trees)
- Unsupervised learning techniques (e.g. clustering, dimensionality reduction)
- Text mining (e.g. topic modeling)
- Hands-on labs with R
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 and understand the basic concepts and methods of data mining and predictive analyticsStudents will assess the assumptions and quality of statistical modelsStudents will select and apply the right statistical models for a given task or data setStudents will derive actionable insights from statistical results
Literature
- Compulsory readingJames, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An Introduction to Statistical Learning. With Applications in R. New York: Springer (a free online version is available at http://www-bcf.usc.edu/~gareth/ISL/) - Further readingProvost, F. & Fawcett, T. (2013). Data Science for Business. Sebastopol: O'Reilly Media
Assessment Methods
Written exam (90min)