392232 Graph Neural Networks in Big Data Analytics (S) (WiSe 2022/2023)
Contents, comment
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The recent surge of machine learning (ML) has opened up various opportunities when analyzing big datasets. Beyond basic, non-ML supported techniques of big data analytics, such as identifying similar items in big datasets, or arranging how to distribute jobs on large compute clusters, for example, the ML supported techniques enable to extract knowledge from large datasets at utmost diversity and accuracy.
The seminar will start with a mini lecture. First, lectures will explain how to cluster datasets. Clustering is an 'unsupervised' machine learning technique by which to mine social network graphs, for example. Second, 'supervised' machine learning techniques (where 'deep learning' likely is the most prominent recent technique) and their use in analyzing big data will be discussed. The mini lecture will be followed by seminar presentations, to be presented in small groups of 4-5 students.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| one-time | Do | 10-12 | U2-205 | 13.10.2022 | |
| weekly | Do | 10-12 | V6-116 | 20.10.2022-03.02.2023
not on: 11/24/22 |
|
| one-time | Do | 10-12 | VHF.01.211 | 24.11.2022 |
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Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 31-M-ASM2 Advanced Statistical Methods II | Courses in the field of statistics and/or in (a) methodologically related field(s) (I.) | Graded examination
|
Student information |
| 39-Inf-AB Algorithms in Bioinformatics | Ausgewähltes Seminar zu Algorithmen der Bioinformatik | Study requirement
|
Student information |
| Übung zur Vorlesung | Student information | ||
| 39-Inf-BDS Biomedical Data Science for Modern Healthcare Technology | Selected seminar or project | Study requirement
|
Student information |
| 39-Inf-SAB_a Special Algorithms in Bioinformatics | Ausgewähltes Seminar zu Spezielle Algorithmen der Bioinformatik | Study requirement
|
Student information |
| Übung zur Vorlesung | Student information | ||
| 39-M-Inf-ABDA Advanced Big Data Analytics / Big Data Machine Learning | Machine Learning and AI in Advanced Big Data Analytics | Ungraded examination
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Student information |
| 39-M-Inf-ABDA_a Advanced Big Data Analytics / Big Data Machine Learning | Machine Learning and AI in Advanced Big Data Analytics | Graded examination
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Studieren ab 50 |
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- Last update basic details/teaching staff:
- Wednesday, September 28, 2022
- Last update times:
- Tuesday, October 11, 2022
- Last update rooms:
- Tuesday, October 11, 2022
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
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