Seminar-Profile
| General Details | |
|---|---|
| Seminar title | Master Seminar on Data Science & Econometric Methods |
| Course code | 373031 |
| Academic session | Summer 2025 |
| Course availability | Summer |
| Course content | methodological approaches from the fields of econometrics and data science |
| Target group / area (Zuordnung) | MSc WiWi; Area: Data Science and Applied Econometrics |
| Number of participants | max. 20 |
| Course language | English |
| Location | Internal seminar |
| Industry partner | no |
| Timetable | Block course from 19th to 21st March 2025 in room I-442; click here for more information |
| Completion of term paper | During lecture period and lecture-free period |
| Requirements and Academic Support | |
| Objectives | Analysis of economic questions through competent application of methods from econometrics / data science |
| Prerequisites | at least one successfully completed methodological lecture on the master level |
| Introductory course to academic research | yes (see " Einführung in das wissenschaftliche Arbeiten am Institut für Ökonoemtrie und Data Science") |
| Formal guidelines | term paper template |
| General literature | no |
| Basic literature on individual topics | Will be announced when topics are publised |
| Methodology | topic-specific |
| Specialized software | statistical software (free choice) |
| Recommened worf processing software | LATEX (recommened, but MS Word is also possible) |
| Length of term paper | 15 pages text (if topic is handled by one person) |
| Meetings to discuss outline | yes, at least one |
| Performance requirements / evaluation | written: seminar paper Both examinations must be completed and attendance at the presentation event is compulsory. A bonus of on egrade level is awarded for a good presentation (e. g.: from 2.0 to 1.7). |
| Examiner | Prof. Dr. Jantje Sönksen |
| Contact person | Esther Voth |
| Group Assignments and Topics | |
| Group assignment | no, only in the event of very high number of seminar participants |
| Group size | (only if necessary: max. 3) |
| Group formation | (only if necessary: according to topic preferences) |
| Topics | Topic List; students are also welcome to submit their own request. |
| Assignment of topics | preference-based |
| Initial registration | webform |
| Process Schedule | |
| Information session | 24th February 2025; Information about the info session can be found here. |
| Initial registration / application | until 26th February 2025 via webform (including topic preferences) |
| Topic assignment | until 28th February 2025 via email |
| Formal (binding) registration | until 02nd March 2025 via email |
| Commencement of seminar paper | 03rd March 2025 |
| Submission of seminar paper | 18th May 2025, 11:59 p.m. via email to supervisor |
| Presentation | from April 08th to 09th, 2025 (Presentation of research question, structure, current status and any interim results that might already be available) |
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Introduction to Scientific Working with LaTeX and Python
Course Overview
This three-day course introduces bachelor students of economics and management to essential scientific tools: LaTeX for professional document preparation and Python for data analysis.Schedule
Each day consists of two blocks:- Morning Block: 9:00 AM - 12:00 PM
- Afternoon Block: 1:00 PM - 4:00 PM
Day 1: Introduction to LaTeX and Scientific Writing
- Morning: Scientific writing principles and LaTeX basics
- Afternoon: Advanced LaTeX (equations, bibliographies, templates)
Day 2: Python Basics for Data Analysis
- Morning: Python fundamentals and environment setup
- Afternoon: Data handling with NumPy and Pandas
Day 3: Applied Data Analysis and Integration
- Morning: Data visualization and statistical analysis
- Afternoon: Mini-project combining Python and LaTeX
Pre-Course Preparation
Please complete these preparations before the course begins:1. Register for Overleaf
- Create an account: https://tex.cloud.uni-hannover.de
- Use your WebSSO credentials
- Overleaf is a collaborative LaTeX editor for scientific documents
2. Install PyCharm Community Edition
- Download from: https://www.jetbrains.com/pycharm/download/
- PyCharm is an IDE that makes Python development more efficient
Registration
If you're interested in participating, please email me at itzen@eds.uni-hannover.de indicating which specific parts (days/blocks) of the course you plan to attend. This helps me plan effectively if we finish a block early.Language
The course will be conducted in English if any non-German speaking students are present. Otherwise, it will be in German.Why These Tools?
- LaTeX: Standard for academic writing with proper mathematical notation
- Python: Essential for data analysis in economics and finance
No prior experience required. This optional course provides practical skills to enhance your academic work.
Detailed information about the course structure can be found here.Questions? Contact me.
