Technische Universität Ilmenau

The Probabilistic Method - Interactive curriculae of TU Ilmenau

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module properties module number 201315 - common information
module number201315
departmentDepartment of Mathematics and Natural Sciences
ID of group2417 (Combinatorics / Graph Theory)
module leaderProf. Dr. Yury Person
languageEnglisch
term Sommersemester
previous knowledge and experienceStochastics (e.g. Diskrete Stochastik (200401) or Stochastik (200375), Discrete Mathematics (e.g. Graphen & Algorithmen (200408))
learning outcomeStudents acquired knowledge of the probabilistic method and are able to apply it to problems in discrete mathematics and data science. The exercises assisted them in this goal. Moreover, the students are be able to read current research papers and present, discuss and reflect on the results.
contentProbabilistic Methods, Concentration of Measure, Algorithmic Aspects
media of instruction and technical requirements for education and examination in case of online participation

Moodle, slides or PC presentations, blackboard and worksheets

literature / references

N. Alon, J. Spencer: The Probabilistic Method, 4th edition; Wiley, 2016.
R. Vershynin, High-Dimensional Probability (An Introduction with Applications in Data Science), Cambridge University Press 2018.

Research papers.

evaluation of teaching
Details reference subject
module nameThe Probabilistic Method
examination number2400922
credit points5
SWS3 (2 V, 1 Ü, 0 P)
on-campus program (h)33.75
self-study (h)116.25
obligationobligatory module
examoral examination performance, 30 minutes
details of the certificate
link to Moodle course
teacher
signup details for alternative examinations
maximum number of participants
Details in degree program Master Data Science 2026
module nameThe Probabilistic Method
examination number2400922
credit points5
on-campus program (h)34
self-study (h)116
obligationelective module
examoral examination performance, 30 minutes
details of the certificate
link to Moodle course
signup details for alternative examinations
maximum number of participants