Study course:
|
| Modules: DM-MS, M-DS-S, DM-BS, B-ATAI-S |
| SWS: 2, Credits: 5 |
| Registration: Registration in Moodle only available to students who got assigned by centralized registration: https://anmeldung.studiumdigitale.uni-frankfurt.de/seminf/ registration at examination office will take place after first submission in Moodle |
| Presentation meeting: The on-site presentation will take place at the end of the semester on one or two days in the seminar room (5th floor, Robert-Mayer-Str. 10) |
| 1st meeting: online (BBB link provided in Moodle) at 11:15 on 26th April 2024 |
| Topic: |
| Theoretical approaches to schema and query mapping for (No-)SQL databases: Survey paper 1 and Survey paper 2 |
| Required contribution: |
| Reading up to three research articles; written essay (min. 10 pages with about 1500 characters (incl. white space) per page) comparing up to three research articles and presentation; a small source code has to be written and the implementation has to tested and described in the essay. |
Study course:
|
| Modules: PDB, B-PDB, L2-CS-PDB, L3-CS-PDB, L5-CS-PDB |
| SWS: 4, Credits: 6 |
| Registration: Registration in Moodle and via QIS |
| Lecture: 15th April 2024 to 15th July 2024 at 12:15 on campus Hörsaaltrakt Bockenheim - H VI |
| Examination: Examination will take place as written exam at the end of the semester: Thursday 25th July 2024 at 09:00 Hörsaaltrakt Bockenheim - H V and Friday 20th September 2024 at 09:00 Hörsaaltrakt Bockenheim - H V |
| Topic: Zur Erarbeitung instrumentaler und systemischer Kompetenzen sollen die Studierenden die Modellierung, Verwaltung und Nutzung größerer Datenbestände kennen und für kleinere Datenbanken implementieren können. Auch soll die Verwendung und Verbindung mit einem Datenbankmanagement-System aus einer Programmiersprache heraus verstanden und umgesetzt werden können. Inhalte: konzeptionelles Datenbankdesign; Methoden des Datenbankdesigns; Entity-Relationship-Modell; Relationales Datenmodell; Umsetzung des Entity-Relationship-Modells; Relationale Algebra; Anfragesprache SQL; Optimierung; Funktionale Abhängigkeit; Normalformen; Transaktionen. |
| Required contribution: |
| During the semester, individual solutions to exercises have to be submitted by each student. |
Study course:
|
| Modules: DB-MPR, M-DS-PR-K, M-DS-PR-A, M-DS-PR-B, DB-PR, M-SIW-PRA, M-SIW-PRB |
| SWS: 4, Credits: 8 |
| Registration: Registration in Moodle: Link |
| 1st meeting: 16th April 2024 (sharp!) at 10:00 via BBB Use this link: https://bbb.uni-frankfurt.de/rooms/22j-0td-sju |
| Topic: |
| Comparison of four database systems |
| Required contribution: |
| Taking part in all exercise sessions and submitting individual solutions; developing, documenting and presenting a small database project. |
Study course:
|
| Modules: DM-MS, M-DS-S, DM-BS, B-ATAI-S |
| SWS: 2, Credits: 5 |
| Registration: Registration in Moodle only available to students who got assigned by centralized registration; registration at examination office will take place after first submission in Moodle |
| 1st meeting: 6th November 2023 at 15:00 hybrid (at Robert-Mayer-Str. and via BBB; only available to students who got assigned by centralized registration; link will be shared via Moodle) |
| presentation meetings: 11th Decemer 2023, 15th, 22nd, 29th January 2024, 5th February 2024 at 15:00 on-site (at Robert-Mayer-Str. 10) |
| Topic: |
| Management of data recovery with error correcting codes |
| Required contribution: |
| Reading up to three research articles; written essay (min. 10 pages with about 1500 characters (incl. white space) per page) comparing up to three research articles and presentation; potentially a small source code has to be written |
Study course:
|
| Modules: M-DS-StRet-K, M-DS-StRet-A, M-DS-StRet-B, M-SIW-I2, M-SIW-VA, M-SIW-VB, M-SIW-VC, M-DB3, DB3 |
| SWS: 4, Credits: 6 |
| Registration: Registration in Moodle and via QIS |
| Lecture Dates: Monday 16th October until Monday 5th of February at 12:15 On-campus lecture: Hörsaaltrakt Bockenheim - H V (auditorium V, Graefstrasse 52-54) |
| Examination: Examination will take place as a written exam at the end of the semester on 19th February, 2024 (90 minutes). |
| Topic: |
| Advanced topics in the area of databases, Big Data: Integration of object-oriented Languages and Databases; Object Relational and Extended Relational Systems, Object Databases; Distributed databases; Databases and the Internet; Data mining concepts; Current and emerging Database technologies and applications. |
| Required contribution: |
| During the semester, exercise solutions must be solved and presented. |
Study course:
|
| Modules: DB-MPR, M-DS-PR-K, M-DS-PR-A, M-DS-PR-B, DB-PR, M-SIW-PRA, M-SIW-PRB |
| SWS: 4, Credits: 8 |
| Registration: Registration in Moodle will only be possible after info session (1st meeting) |
| 1st meeting: 16th October 2023 at 10:00 via BBB Use this link: https://bbb.uni-frankfurt.de/b/ahm-lu3-cia-j3c |
| Topic: |
| Comparison of four database systems |
| Required contribution: |
| Taking part in all exercise sessions and submitting individual solutions; developing, documenting and presenting a small database project. |
Study course:
|
| Modules: DM-MS, M-DS-S, DM-BS, B-ATAI-S |
| SWS: 2, Credits: 5 |
| Registration: Registration in Moodle only available to students who got assigned by centralized registration; registration at examination office will take place after first submission in Moodle |
| Presentation meeting: The on-site presentation will take place at the end of the semester on one or two days in the seminar room (5th floor, Robert-Mayer-Str. 10) |
| 1st meeting: online BBB at 11:15 on 21st April 2023 |
| Topic: |
| Properties and implementations of privacy metrics: Survey paper |
| Required contribution: |
| Reading up to three research articles; written essay (min. 10 pages with about 1500 characters (incl. white space) per page) comparing up to three research articles and presentation; a small source code has to be written and the implementation has to tested and described in the essay. |
Study course:
|
| Modules: PDB, B-PDB, L2-CS-PDB, L3-CS-PDB, L5-CS-PDB |
| SWS: 4, Credits: 6 |
| Registration: Registration in Moodle and via QIS |
| Lecture: 17th April 2023 at 12:15 on campus Hörsaaltrakt Bockenheim - H VI |
| Examination: Examination will take place as written exam at the end of the semester 28.07.2023. |
| Topic: Zur Erarbeitung instrumentaler und systemischer Kompetenzen sollen die Studierenden die Modellierung, Verwaltung und Nutzung größerer Datenbestände kennen und für kleinere Datenbanken implementieren können. Auch soll die Verwendung und Verbindung mit einem Datenbankmanagement-System aus einer Programmiersprache heraus verstanden und umgesetzt werden können. Inhalte: konzeptionelles Datenbankdesign; Methoden des Datenbankdesigns; Entity-Relationship-Modell; Relationales Datenmodell; Umsetzung des Entity-Relationship-Modells; Relationale Algebra; Anfragesprache SQL; Optimierung; Funktionale Abhängigkeit; Normalformen; Transaktionen. |
| Required contribution: |
| During the semester, individual solutions to exercises have to be submitted by each student. |
Study course:
|
| Modules: DB-MPR, M-DS-PR-K, M-DS-PR-A, M-DS-PR-B, DB-PR, M-SIW-PRA, M-SIW-PRB |
| SWS: 4, Credits: 8 |
| Registration: Registration in Moodle will only be possible after info session (1st meeting) |
| 1st meeting: 17th April 2023 at 10:00 via BBB Use this link: https://bbb.uni-frankfurt.de/b/ahm-tgl-bht-dfa |
| Topic: |
| Comparison of four database systems |
| Required contribution: |
| Taking part in all exercise sessions and submitting individual solutions; developing, documenting and presenting a small database project. |
Study course:
|
| Modules: DM-MS, M-DS-S, DM-BS, B-ATAI-S |
| SWS: 2, Credits: 5 |
| Registration: Registration in Moodle only available to students who got assigned by centralized registration; registration at examination will take place after first submission in Moodle |
| 1st meeting: 4th November 2022 at 11:15 via BBB (only available to students who got assigned by centralized registration; link will be shared via Moodle) |
| Topic: |
| Management and processing of sound data and multimodal data |
| Required contribution: |
| Reading up to three research articles; written essay (min. 10 pages with about 1500 characters (incl. white space) per page) comparing up to three research articles and presentation; potentially a small source code has to be written |
Study course:
|
| Modules: DC, M-DS-ADS, B-WB, M-WB, PoE, M-SIW-1A, M-SIW-1B |
| SWS: 4, Credits: 6 |
| Registration: Registration in Moodle and via QIS |
| 1st meeting: 17th October 2022 at 12:15 on campus (lectures will take place irregularly and alternating with the team meetings; details will be provided in Moodle) |
| Examination: Examination will take place as an oral exam at the end of the semester. Required precondition: submit your own solution for 50% of the exercises. |
| Topic: Students will create innovative ideas using data and implement a prototype. They will be asked to address one of the Data Challenges offered. Specifics will be addressed at introductory lectures. Students will then work independently to create a proposal of a novel idea that satisfies the data challenge chosen. Students who submitted a successful presentation will be then asked to implement the idea and present it at the end of the course. |
| Required contribution: |
| During the semester, a project has to developed in a team. Small team meetings and project presentations will be required. Individual solutions to exercises have to be submitted by each student. Evaluation will be based on oral exam. |
Study course:
|
| Modules: DB-MPR, M-DS-PR-K, M-DS-PR-A, M-DS-PR-B, DB-PR, M-SIW-PRA, M-SIW-PRB |
| SWS: 4, Credits: 8 |
| Registration: Registration in Moodle will only be possible after info session (1st meeting) |
| 1st meeting: 17th October 2022 at 10:00 via BBB Use this link: https://bbb.uni-frankfurt.de/b/ahm-lu3-cia-j3c |
| Topic: |
| Comparison of four database systems |
| Required contribution: |
| Taking part in all exercise sessions and submitting individual solutions; developing, documenting and presenting a small database project. |
Study course:
|
| Modules: DS1, M-DS-PDS |
| SWS: 3, Credits: 5 |
| Registration: Registration in Moodle and in QIS necessary |
| Lecture dates: 13:00 to 16:00 from 12th April 2022 to 12th July 2022 On-campus lecture: Hörsaaltrakt Bockenheim - H 4 (auditorium 4, Graefstrasse 52-54) |
| Examination: Examination will take place as a written exam (90 minutes). |
| Topic: |
| The goal of this course is to give participants a first gentle introduction and solid conceptual grounding in what has been called ‘data science’, i.e. experimental work that is data-driven and empirical. The focus is on methodology, defining an experimental protocol, devising hypotheses, thinking about measuring success, but also on more practical approaches like basic machine learning methods (both supervised and unsupervised) and the introduction to popular tools. The course also demonstrates some practical applications of the techniques shown, and deepens the students' skills via practical exercises. |
| Required contribution: |
| During the semester, one exercise solution must be presented. |
Study course:
|
| Modules: DB-MPR, M-DS-PR-K, M-DS-PR-A, M-DS-PR-B, DB-PR, M-SIW-PRA, M-SIW-PRB |
| SWS: 4, Credits: 8 |
| Registration: Registration in Moodle will only be possible after info session (1st meeting) |
| 1st meeting: 11th April at 9:30 via BBB Use this link: https://bbb.uni-frankfurt.de/b/ahm-qna-xja-2nk |
| Topic: |
| Comparison of four database systems |
| Required contribution: |
| Taking part in all exercise sessions and submitting individual solutions; developing, documenting and presenting a small database project. |
Study course:
|
| Modules: DM-MS, M-DS-S |
| SWS: 2, Credits: 5 |
| Registration: Registration in Moodle will only be possible after info session (1st meeting) |
| 1st meeting: 22nd April at 11:00 via BBB (only available to students who got assigned by centralized registration) |
| Topic: |
| Subgraph indexing for graph databases |
| Required contribution: |
| Reading up to three research articles; written essay (min. 10 pages with about 1500 characters (incl. white space) per page) comparing up to three research articles and presentation; potentially a small source code has to be written |
Study course:
|
| Modules: M-DS-StRet-K, M-DS-StRet-A, M-DS-StRet-B, M-SIW-I2, M-SIW-VA, M-SIW-VB, M-SIW-VC, M-DB3, DB3 |
| SWS: 4, Credits: 6 |
| Registration: Registration in Moodle and via QIS |
| Lecture Dates: Monday 18th October until Monday 14th of February at 12:15 On-campus lecture: Hörsaaltrakt Bockenheim - H V (auditorium V, Graefstrasse 52-54) |
| Examination: Examination will take place as a written exam at the end of the semester (90 minutes). |
| Topic: |
| Advanced topics in the area of databases, Big Data: Integration of object-oriented Languages and Databases; Object Relational and Extended Relational Systems, Object Databases; Distributed databases; Databases and the Internet; Data mining concepts; Current and emerging Database technologies and applications. |
| Required contribution: |
| During the semester, exercise solutions must be solved and presented. |
Study course:
|
| Modules: DC, M-DS-ADS, B-WB, M-WB, PoE, M-SIW-1A, M-SIW-1B |
| SWS: 4, Credits: 6 |
| Registration: Registration in Moodle and via QIS |
| 1st meeting: 18th October at 8:30 via BBB Use this link: https://bbb.uni-frankfurt.de/b/len-cwp-hqx-mn2 (lectures will take place irregularly and alternating with the team meetings on Tuesdays; details will be provided in Moodle) |
| Alternative form of examination: Examination will take place as a project implementation as well as a project report and project presentation (there will neither be an oral nor a written exam). |
| Topic: Students will create innovative ideas using data and implement a prototype. They will be asked to address one of the Data Challenges offered. Specifics will be addressed at introductory lectures. Students will then work independently to create a proposal of a novel idea that satisfies the data challenge chosen. Students who submitted a successful presentation will be then asked to implement the idea and present it at the end of the course. |
| Required contribution: |
| During the semester, a project has to developed in a team. Small team meetings and project presentations will be required on Tuesdays between 14:00 to 16:00. A project report has to be submitted per team. Evaluation will be based on the final presentation and the project report. |
Study course:
|
| Modules: DB-MPR, M-DS-PR-K, M-DS-PR-A, M-DS-PR-B, DB-PR, M-SIW-PRA, M-SIW-PRB |
| SWS: 4, Credits: 8 |
| Registration: Registration in Moodle will only be possible after info session (1st meeting) |
| 1st meeting: 22nd October at 10:00 via BBB Use this link: https://bbb.uni-frankfurt.de/b/ahm-bno-xtr-mg9 (Note: updated link) |
| Topic: |
| Comparison of four database systems |
| Required contribution: |
| Taking part in all exercise sessions and submitting individual solutions; developing, documenting and presenting a small database project. |
Study course:
|
| Modules: DS1, M-DS-PDS |
| SWS: 3, Credits: 5 |
| Registration: Registration in Moodle will only be possible after info session (1st meeting) |
| 1st meeting: 13th April at 13:00 via BBB Use this link: https://bbb.uni-frankfurt.de/b/len-cwp-hqx-mn2 |
| Alternative form of examination: Examination will take place as a project implementation as well as a project report and project presentation (there will neither be an oral nor a written exam due to Corona). |
| Topic: |
| The goal of this course is to give participants a first gentle introduction and solid conceptual grounding in what has been called ‘data science’, i.e. experimental work that is data-driven and empirical. The focus is on methodology, defining an experimental protocol, devising hypotheses, thinking about measuring success, but also on more practical approaches like basic machine learning methods (both supervised and unsupervised) and the introduction to popular tools. The course also demonstrates some practical applications of the techniques shown, and deepens the students' skills via practical exercises. |
| Required contribution: |
| During the semester, one exercise solution must be presented. |
Study course:
|
| Modules: DB-MPR, M-DS-PR-K, M-DS-PR-A, M-DS-PR-B, DB-PR, M-SIW-PRA, M-SIW-PRB |
| SWS: 4, Credits: 8 |
| Registration: Registration in Moodle will only be possible after info session (1st meeting) |
| 1st meeting: 16th April at 8:30 via BBB Use this link: https://bbb.uni-frankfurt.de/b/len-mdg-5y7-qlb |
| Topic: |
| Comparison of four database systems |
| Required contribution: |
| Taking part in all exercise sessions and submitting individual solutions; developing, documenting and presenting a small database project. |
Study course:
|
| Modules: DM-MS, M-DS-S |
| SWS: 2, Credits: 5 |
| Registration: Registration in Moodle will only be possible after info session (1st meeting) |
| 1st meeting: 16th April at 11:00 via BBB (only available to students who got assigned by centralized registration) |
| Topic: |
| Research Data Management and Meta Data Standards |
| Required contribution: |
| Reading up to three research articles; written essay (min. 10 pages with about 1500 characters (incl. white space) per page) comparing up to three research articles and presentation; potentially a small source code has to be written |
Study course:
|
| Modules: KI-BS, B-ATKI-S |
| SWS: 2, Credits: 5 |
| Registration: Self registration in Moodle |
| 1st meeting: 6th Nov. at 10:00 via Zoom |
| Zoom link will be distributed via Moodle |
| Topic: |
| Time series analysis with a focus on distance measures for time series classification. |
| Required contribution: |
| Written essay (min. 10 pages with about 1500 characters (incl. white space) per page) on one distance measure and presentation; potentially a small source code has to be written |
Study course:
|
| Modules: IS-MS, M-DS-S, M-IS-S |
| SWS: 2, Credits: 5 |
| Registration: Self registration in Moodle |
| 1st meeting: 6th Nov. at 11:00 via Zoom |
| Zoom link will be distributed via Moodle |
| Topic: |
| Data encodings for biological mass storage (like DNA data storage) |
| Required contribution: |
| Reading up to three research articles; written essay (min. 10 pages with about 1500 characters (incl. white space) per page) comparing up to three research articles and presentation; potentially a small source code has to be written |
Study course:
|
| Modules: KI-MS, M-DS-S, M-SAI-S; KI-S, M-SIW-HSA-S, M-SIW-HSB-S |
| SWS: 2, Credits: 5 |
| Registration: Self registration in Moodle |
| 1st meeting: 6th Nov. at 12:00 via Zoom |
| Zoom link will be distributed via Moodle |
| Topic: |
| Time series analysis by comparing different approaches for time series classification, imputation, forecasting, indexing... |
| Required contribution: |
| Reading three research articles; written essay (min. 10 pages with about 1500 characters (incl. white space) per page) comparing three research articles and presentation; potentially a small source code has to be written |