Data Analytics Winter Term 2016/17
Semester Schedule Winter Term 2016/17
The regular lectures for winter term 2016/17 will start from 17.10.2016. Following table points to the webpage of lectures offered in winter term.
1st Semester
The information about the elective courses offered in winter term 2016/17 are
listed here
Welcome week (10.10 - 16.10.2016)
Time | Event |
| Monday 10.10.2016 |
09:30 | Opening Service for new students, Michaeliskirche |
11:00 | Welcome to University of Hildesheim, building A, Audimax |
15:00 | City Tour, meeting point: fountain at Hindenburgplatz, Guide: Mr Lange |
16:30 | Visit to the romantic Cafes Kafenion in der Altstadt |
| Tuesday 11.10.2016 |
10:00 | Welcome to Data Analytics program, building Samelsonplatz, Pavillon 1A |
| Mandatory for all MS Data Analytics Students |
14:00 | Guided tour of main campus, meeting point: Parking area Samelsonplatz |
16:30 | Visit to the romantic Cafes Kafenion in der Altstadt |
| Wednesday 12.10.2016 |
08:00 | Register at the Stadt Hildesheim, Group 2 meeting point: fountain at the Marktplatz |
| Thursday 13.10.2016 |
08:00 | Register at the Stadt Hildesheim, Group 3 meeting point: fountain at the Marktplatz |
| Friday 14.10.2016 |
08:00 | Register at the Stadt Hildesheim, Group 4 meeting point: fountain at the Marktplatz |
| |
In the introductory week, there are set of activities arranged by the international office to make new students familiarize with University of Hildesheim and city of Hildesheim. Following are the detail programs.
Additional Information about Text Books
Here is the list of text books that will be most relevant for winter term
- Murphy, Kevin P. Machine learning: a probabilistic perspective. MIT press, 2012.
- Boyd, Stephen, and Lieven Vandenberghe. Convex optimization. Cambridge university press, 2004.
- Wes McKinney (2012): Python for Data Analysis Data Wrangling with Pandas, NumPy, and IPython, O’Reilly
- Joel Grus (2015): Data Science from Scratch First Principles with Python, O’Reilly
- Willi Richert, Luis Pedro Coelho (2013): Building Machine Learning Systems with Python, PACKT