
M.Sc. Jakob Bach
- Researcher
- Room: 363
- Phone: +49 721 608-43911
- Fax: +49 721 608-47343
- jakob bach ∂does-not-exist.kit edu
General Information
I'm a PhD student in the field of data science, doing research on feature selection with constraints (next to several side projects). Many of my teaching and research activities correspond to a GitHub project that contains the code and sometimes further materials. The article "Understanding the Effects of Temporal Energy-Data Aggregation on Clustering Quality" has a dedicated website.
Publications
Fuchs, T.; Bach, J.; Iser, M.
2023. Tools and Algorithms for the Construction and Analysis of Systems. Ed.: S. Sankaranarayanan. Pt. 1, 407–425, Springer Nature Switzerland AG. doi:10.1007/978-3-031-30823-9_21
Bach, J.
2022, October 6. AI Hub @ Karlsruhe (2022), Karlsruhe, Germany, October 5–7, 2022
Bach, J.; Zoller, K.; Trittenbach, H.; Schulz, K.; Böhm, K.
2022. SN Computer Science, 3 (6), Art.-Nr.: 445. doi:10.1007/s42979-022-01338-z
Bach, J.
2022, August 2. 25th International Conference on Theory and Applications of Satisfiability Testing (SAT 2022), Haifa, Israel, August 2–5, 2022
Bach, J.; Iser, M.; Böhm, K.
2022. 25th International Conference on Theory and Applications of Satisfiability Testing (SAT 2022). Hrsg.: Kuldeep S. Meel, 2:1–2:18, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (LZI). doi:10.4230/LIPIcs.SAT.2022.2
Bach, J.; Zoller, K.; Schulz, K.
2022, July 26. doi:10.5445/IR/1000148891
Bach, J.; Iser, M.
2022, May 30. doi:10.5445/IR/1000146629
Ordoni, E.; Bach, J.; Fleck, A.-K.
2022, February 14. doi:10.5445/IR/1000142949
Ordoni, E.; Bach, J.; Fleck, A.
2022. IEEE Access, 10, 31699–31713. doi:10.1109/ACCESS.2022.3154445
Sudmanns, M.; Bach, J.; Weygand, D.; Schulz, K.
2020. Modelling and simulation in materials science and engineering, 28 (6), Art. Nr.: 065001. doi:10.1088/1361-651X/ab97ef
Trittenbach, H.; Bach, J.; Böhm, K.
2019. Information technology, 61 (2-3), 111–123. doi:10.1515/itit-2019-0014
Trittenbach, H.; Bach, J.; Böhm, K.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 399–401, Association for Computing Machinery (ACM). doi:10.1145/3208903.3212038
Teaching
I was responsible for the exercises of "Data Science 1" (old name: "Big Data Analytics") and for the practical course "Data Science Laboratory Course" (old name: "Analyzing Big Data Laboratory Course") several times. I fundamentally re-designed the exercises of "Data Science 1" when acquiring the "Baden-Württemberg Certificate for Teaching and Learning at University Level". Further, I supervised projects for the courses "Software Engineering in Practice" ("Praxis der Softwareentwicklung") and "Research Project" ("Praxis der Forschung"). Finally, I supervised several seminar ~, bachelor's ~, and master's theses.
Title | Type | Semester |
---|---|---|
Data Science for Scientific Data | Practical course (P) | SS 2023 |
Data Science Laboratory Course | Practical course (P) | SS 2023 |
Praxis der Forschung (Projekt, 2. Semester) | Projektgruppe (Pg) | SS 2022 |
Data Science Laboratory Course | Practical course (P) | SS 2022 |
Praxis der Forschung (Projekt, 1. Semester) | Projektgruppe (Pg) | WS 21/22 |
Data Science 1 | Lecture | WS 21/22 |
Data Science Laboratory Course | Practical course (P) | SS 2021 |
Big Data Analytics | Lecture | WS 20/21 |
Analyzing Big Data Laboratory Course | Practical course (P) | SS 2020 |
Big Data Analytics | Lecture | WS 19/20 |
Recent Research Topics in Data Analysis, Privacy and Machine Learning | Seminar (S) | WS 19/20 |
Recent Research Topics in Workflow Analysis, Privacy and Machine Learning | Seminar (S) | SS 2019 |
Analyzing Big Data Laboratory Course | Practical course (P) | SS 2019 |
Praxis der Softwareentwicklung (PSE) | Vorlesung (V) | WS 18/19 |
Analyzing Big Data Laboratory Course | Practical course (P) | SS 2018 |