Modules

17 results

Elective area17

Advanced EconometricsNo ratings for this module yet.Elective area Information (Elective area)You will learn advanced econometric methods for cross-section and panel data and their application to causal analysis. By the end, you can assess and practically apply suitable estimation methods for treatment effects and other econometric questions.6 ECTSruns this semesterWI001273Applied Artificial IntelligenceNo ratings for this module yet.Elective area Information (Elective area)You will learn the entire lifecycle of an AI project for supervised machine learning — from problem formulation to productive, scalable deployment. Technical implementation in Python, collaboration between humans and AI, ethical considerations, as well as aspects of Generative AI and Large Language Models are addressed.6 ECTSruns this semesterMGTBT0008Challenges in Information ManagementNo ratings for this module yet.Elective area Information (Elective area)You work in a team on a concrete problem specification of a company or a similar organization. You apply digital technologies (e.g., AI, blockchain, IoT, process mining) to real use cases and develop a practical solution within about three months, which you present to partners and the university.6 ECTSruns this semesterMGTBT0010Digital Energy & SustainabilityNo ratings for this module yet.Elective area Information (Elective area)You engage with the challenges and opportunities of the transition to low-carbon energy systems. You analyze topics such as energy market design, flexible demand in industry and households, the design of smart districts, sustainable mobility, and CO2 reduction. In doing so, you will learn to deploy digital technologies in the context of future electricity markets purposefully and to develop innovative solutions.6 ECTSruns this semesterWIBT0005Research Seminar in Deep Reinforcement Learning (FIM)No ratings for this module yet.Elective area Information (Elective area)In small groups you work on a current research problem in the field of Deep Reinforcement Learning. Either you reproduce and analyze a newer research paper (possibly with methodological extension) or you formulate and examine an application task as a sequential decision problem. In the end you can conduct an independent, scientific, methodological, and reproducible research project and critically interpret the results.6 ECTSruns this semesterMGT001534
12 more in Elective areaStochastic Modeling and OptimizationNo ratings for this module yet.Elective area Information (Elective area)You will learn methods for decision support in stochastic multi-period environments. The module covers both the mathematical theory (e.g. stochastic processes, Markov decision processes, stochastic programming) and their application to practical problems such as inventory management or personnel planning. In the end, you can select suitable procedures, apply them, and assess their advantages and disadvantages.6 ECTSruns this semesterWI000977Advanced Seminar in Finance and Information ManagementNo ratings for this module yet.Elective area Information (Elective area)In this module you work on a concrete problem or challenge from practice (e.g., from a company or an institution). You work in a team on the analysis and development of solutions and present as well as document your results. In the end you can systematically capture problems, select appropriate methods, develop analytical solutions and present them convincingly.6 ECTSno date this semesterMGT001456Auction Theory and Market DesignNo ratings for this module yet.Elective area Information (Elective area)You learn game-theoretic fundamentals and mechanism design as well as the theory and practical realization of various auction and matching formats. In the end you will be able to explain properties and payment rules of open and closed auctions, model strategic interactions, and justify the selection of auction formats with regard to efficiency or revenue goals.5 ECTSno date this semesterIN2211Blockchain-based Systems EngineeringNo ratings for this module yet.Elective area Information (Elective area)You learn about the structure, properties and applications of blockchain and distributed ledger technologies (DLT). By the end you will be able to analyze blockchain-based application systems, select technologies suitable for concrete use cases, and justify fundamental architecture and design decisions.5 ECTSno date this semesterIN2359Computational LogisticsNo ratings for this module yet.Elective area Information (Elective area)You receive a Python-based introduction to computer-aided methods for logistics problems. You model and solve classic optimization problems (e.g., transport, TSP, Vehicle Routing, lot sizing, scheduling) with Python and Gurobi, learn simulation with SimPy as well as data-driven methods and machine learning with scikit-learn, and practically implement fundamental metaheuristics. By the end you can select appropriate methods, implement them, and apply them to logistical questions as well as analyze and present results.6 ECTSno date this semesterWI001189Emerging Digital Technologies @ BISE (Blockchain, AI, IoT, Process Mining)No ratings for this module yet.Elective area Information (Elective area)You will learn essential Emerging Digital Technologies such as IoT, AI, Blockchain and Process Mining and how they are applied in business and the energy sector. In the end you will be able to explain the technical concepts, assess their socio-technical and business impacts, and evaluate the potential of these technologies for concrete corporate scenarios.6 ECTSno date this semesterWIBT0006Energy EconomicsNo ratings for this module yet.Elective area Information (Elective area)You will learn economic fundamentals and methods for analyzing energy markets (e.g., gas, oil, coal, electricity). In the end you will be able to distinguish market structures and behaviors of producers and consumers, assess network regulation, and apply theoretical as well as empirical methods to current developments such as the energy transition.6 ECTSno date this semesterWI001145IT Due Diligence & AuditNo ratings for this module yet.Elective area Information (Elective area)You will learn how IT strategies, compliance requirements and economic objectives relate to each other. In the end you will be able to evaluate IT environments, communicate deficiencies and improvements to different stakeholders, and assess measures for the implementation and control of reporting and analysis components.3 ECTSno date this semesterWIBT0007Machine Learning for Graphs and Sequential DataNo ratings for this module yet.Elective area Information (Elective area)You will learn methods of machine learning for graph data and sequential data. You understand models for texts and temporal sequences as well as techniques for networks and graphs and can apply and evaluate them to real tasks. In the end you can select suitable procedures and assess their strengths/weaknesses for non-independent data.6 ECTSno date this semesterIN2323Process Analytics & IntelligenceNo ratings for this module yet.Elective area Information (Elective area)You will learn how to perform data-driven analyses of operational processes and translate the obtained insights into concrete actions. The topics are techniques of Process Mining (descriptive, predictive, prescriptive), process automation, as well as the management and scaling of Process-Intelligence solutions in organizations.6 ECTSno date this semesterMGTBT0009Software Engineering für betriebliche Anwendungen - Masterkurs: Web Application EngineeringNo ratings for this module yet.Elective area Information (Elective area)You will learn to plan, design and implement modern web-based applications from the business idea to a working prototype. In the end you can analyze web business models, apply user-centered design patterns, implement frontend and backend components with current web frameworks, and present your solution to a professional audience.8 ECTSno date this semesterIN2087Technology Entrepreneurship LabNo ratings for this module yet.Elective area Information (Elective area)You work in teams on the development of technological business ideas: from identifying opportunities to team formation and the creation of an evaluation plan. In the end you will be able to analyze opportunity processes and team development, apply coaching tools, and create an Opportunity Assessment Plan.6 ECTSno date this semesterWI000813