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C15 Research Methods

C15 Research Methods

Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems
Project Description
  • Short descriptionThe module provides an introduction to research methods.TopicsIntroduction to scientific researchLiterature reviewsQualitative researchQuantitative researchDesign science researchTheories used in IS research
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 and understand the historical development of scientific research.Students will know and understand the concept of scientific research.Students will identify appropriate theories to explain empirical phenomena.Students will identify suitable research methods in order to seek answers to specific research questions.Students will use appropriate qualitative, quantitative, and design-oriented approaches to scientific research.
Assessment Methods
Written Exam (90 min)
Grade
This module is prerequisite for taking the Master’s thesis Module and writing the Master’s thesis
Module number:
4408125
Semester:
WS 17/18
ECTS Credits:
6
Courses:
36 L / 29 h
Self-study:
152 h
Language:
English
Scheduled Semester:
1

C15 Project Seminar Data Science

C15 Project Seminar Data Science

Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems
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
  • 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
Module number:
4408159
Semester:
WS 17/18
ECTS Credits:
6
Courses:
58 L / 44 h
Self-study:
137 h
Language:
English
Scheduled Semester:
3

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
  • 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.
Module number:
4408147
Semester:
WS 17/18
ECTS Credits:
6
Courses:
52 L / 39 h
Self-study:
141 h
Language:
English
Scheduled Semester:
3

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
  • 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)
Module number:
4408145
Semester:
WS 17/18
ECTS Credits:
6
Courses:
55 L / 42 h
Self-study:
139 h
Language:
English
Scheduled Semester:
3

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
  • 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
Assessment Methods
Written exam (90min)
Module number:
4408143
Semester:
WS 17/18
ECTS Credits:
6
Courses:
56 L / 53 h
Self-study:
128 h
Language:
English
Scheduled Semester:
3

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 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
Assessment Methods
Written exam (90 minutes)
Module number:
4408141
Semester:
WS 17/18
ECTS Credits:
9
Courses:
80 L / 60 h
Self-study:
210 h
Language:
English
Scheduled Semester:
3

C15 Process & Data Management

C15 Process & Data Management

Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems
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.
Assessment Methods
Written Exam (60 min)
Module number:
4408085
Semester:
WS 17/18
ECTS Credits:
3
Courses:
24 L / 18 h
Self-study:
72 h
Language:
English
Scheduled Semester:
1

C15 Management Information Systems

C15 Management Information Systems

Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems
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.
Assessment Methods
Seminar: Seminar paper, Presentation
Lecture: Written exam (90 min)
Module number:
4408076
Semester:
WS 17/18
ECTS Credits:
9
Courses:
80 L / 60 h
Self-study:
210 h
Language:
English
Scheduled Semester:
1

C15 Innovation Lab I

C15 Innovation Lab I

Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems
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
  • 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.
Assessment Methods
Seminar paper; presentations (mid-term, final)
Module number:
4408129
Semester:
WS 17/18
ECTS Credits:
3
Courses:
24 L / 18 h
Self-study:
72 h
Language:
English
Scheduled Semester:
1

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
  • 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)
Module number:
4408157
Semester:
WS 17/18
ECTS Credits:
3
Courses:
26 L / 23 h
Self-study:
68 h
Language:
English
Scheduled Semester:
3
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