Modules

13 results

Electives in Management13

Advanced Seminar Operations & Technology Management: Methods of Advanced Analytics and ApplicationsNo ratings for this module yet.Electives in Operations & Supply Chain ManagementYou engage with current research topics from Operations & Technology Management, specifically with intelligent orchestration, planning and decision support in networked manufacturing environments. You will learn to model problems, apply suitable algorithms (e.g., optimization, deep learning, possibly quantum computing) and develop solutions for real case studies. In the end you can independently analyze, model and present in a documented way a research or practice problem in Operations/OR/Advanced Analytics.6 ECTSruns this semesterMGTHN0198Deep Reinforcement LearningNo ratings for this module yet.Electives in Operations & Supply Chain ManagementYou will learn modern methods of Reinforcement Learning (RL) and apply them. The module conveys both the theoretical foundations (e.g., Markov decision processes, Monte Carlo, Temporal Difference) as well as current Deep-RL methods (e.g., Q-Learning, DQN, Policy-Gradient methods, PPO, Actor-Critic). By the end you can formulate real problems as RL tasks and implement solution concepts in Python.6 ECTSruns this semesterWIHN0033Game TheoryNo ratings for this module yet.Electives in Operations & Supply Chain ManagementYou learn how to formally model and analyze strategic interactions — in both static and dynamic situations and under complete or incomplete information. In the end you can select appropriate equilibrium concepts and analyze strategic problems in economics and management (e.g. negotiation, price formation, signaling, reputation) with game theory.6 ECTSruns this semesterMGTHN0182Inventory ManagementNo ratings for this module yet.Electives in Operations & Supply Chain ManagementYou learn methods and models for controlling inventory in supply chains. In the end you will be able to analyze inventory problems, apply common inventory control policies and optimize their parameters, as well as use stochastic models to determine safety stocks.6 ECTSruns this semesterWIHN0019Simulation in Production and LogisticsNo ratings for this module yet.Electives in Operations & Supply Chain ManagementYou learn to develop discrete event-oriented simulations for production and logistics systems and to implement them in Python. In the end you can verify, validate, design experimental plans and analyze outputs as well as present the results of a simulation study.6 ECTSruns this semesterMGTHN0112
8 more in Electives in ManagementBusiness Analytics with Python and RNo ratings for this module yet.Electives in Operations & Supply Chain ManagementYou will learn modern methods of Business Analytics and how to apply them practically with Python and R. The module covers descriptive, predictive and prescriptive analytics. At the end you can select appropriate models, analyse data and implement solutions in Python and R.6 ECTSno date this semesterWIHN0039Business ForecastingNo ratings for this module yet.Electives in Operations & Supply Chain ManagementYou will learn methods and tools for creating business forecasts and applying them. Topics include fundamentals of time series analysis, classical and modern modeling approaches (e.g., ARIMA, hierarchical forecasting, global models), machine-learning models (Random Forest, LGBM, XGBoost) as well as neural networks. By the end you will be able to select appropriate methods, compute forecasts with Python and the nixtla libraries, and present and justify the results.6 ECTSno date this semesterWIHN0032Intelligent Scheduling: Algorithms, Complexity, and AI in OperationsNo ratings for this module yet.Electives in Operations & Supply Chain ManagementYou deal with automated, intelligent planning systems for modern production environments. In the end you will understand the complexity of scheduling problems, apply exact and approximate solution approaches, and use AI-supported heuristics for operations planning as well as interpret results for management and operation.6 ECTSno date this semesterMGTHN0200Introduction to Python for Data AnalysisNo ratings for this module yet.Electives in Operations & Supply Chain ManagementYou learn the fundamentals of Python and how the language is used for data analysis. By the end you will be able to write simple Python programs, import, clean, analyze, and visualize data, as well as develop and evaluate models.6 ECTSno date this semesterWIHN0048Introduction to Python Programming for Business AnalyticsNo ratings for this module yet.Electives in Operations & Supply Chain ManagementYou will learn the basics of programming with Python and how to use Python for simple data analysis tasks. In the end you will be able to apply fundamental language constructs, data structures and programming paradigms in Python and work on simple data-analytic tasks with real datasets.6 ECTSno date this semesterMGTHN0152Machine Learning for Business Analytics and its Applications in BusinessNo ratings for this module yet.Electives in Operations & Supply Chain ManagementYou learn how to derive information from data and make it usable for business questions. You prepare data, apply fundamental machine-learning methods (clustering, classification, association rules, predictions) and interpret the results to support decision-making processes in the company.6 ECTSno date this semesterMGTHN0126Practical Course: Advanced Topics in Constraint Programming and SchedulingNo ratings for this module yet.Electives in Operations & Supply Chain ManagementYou engage with advanced methods of constraint programming and scheduling algorithms in the context of networked production systems. In the end you will be able to design and apply constraint-programming approaches, implement selected scheduling algorithms, and analyze results in an operational context.6 ECTSno date this semesterMGTHN0199Stochastic Models in Production and LogisticsNo ratings for this module yet.Electives in Operations & Supply Chain ManagementYou will learn how uncertainties in production and logistics systems are modeled and analyzed. In the end, you will be able to model systems with Markov chains, queuing models and Markov decision processes, calculate performance metrics and interpret the results.6 ECTSno date this semesterMGTHN0157