Modules

6 results

A Required Modules6

Foundations in Data EngineeringNo ratings for this module yet.You will learn how to organize, distribute, store and analyze large data sets efficiently. In the end you will be able to apply distributed data storage concepts, Map/Reduce techniques and their applications (e.g. Hadoop, NoSQL), implement analysis algorithms for distributed data and assess optimization techniques.8 ECTSruns this semesterIN2326Berufspraktikum (Data Science)No ratings for this module yet.Practical ExperienceYou undertake a six-week full-time professional internship in a company or an applied research facility with relevance to mathematics. In the end you will have practical work experience, insights into operational processes, and you can clearly present your activities as well as their academic relevance in writing.10 ECTSno date this semesterMA8103Foundations of Data AnalysisNo ratings for this module yet.In this module you will learn mathematical methods of data analysis, in particular linear and nonlinear procedures for data dimensionality reduction as well as techniques for reconstructive restoration of structured signals. By the end you will be able to apply and assess singular value decomposition, random matrices, compressive methods and manifold-based procedures.8 ECTSno date this semesterMA4800Hauptseminar Data ScienceNo ratings for this module yet.You independently work on an anspruchsvolles wissenschaftliches Thema from the area Mathematics / Data Science, write a written seminar paper on it, and present the results in the seminar. In the end you can present your research results in a structured, scientifically justified manner and participate in the professional discussion.5 ECTSno date this semesterMA6014Projekt mit Kolloquium (Data Science)No ratings for this module yet.Practical ExperienceYou independently work on a narrowly defined research topic in the field of Data Science in coordination with a supervising person. In the end you have written a short English scientific paper and presented the results in a colloquium.10 ECTSno date this semesterMA8114
1 more in A Required ModulesTUM Data Innovation LabNo ratings for this module yet.Practical ExperienceIn the TUM Data Innovation Lab you work in your Master's program in small, interdisciplinary teams on real data-driven projects from science or industry. In the end you will be able to process, analyze and visualize data, implement numerical solutions, and present your results both technically and in an understandable way.10 ECTSno date this semesterMA8113
1 more module matches, but it is taught in German. Show itPraktikum - Large-Scale Graph Analytics and Machine LearningNo ratings for this module yet.Practical Experience10 ECTSno date this semesterIN4192