Data Analytics Winter Term 2021

Semester Schedule Winter Term 2021

The regular lectures for winter term will start from 01.11.2021. The following tables point to the webpages of lectures for the Winter Semester.

Python Tutorial

• Python Tutorial Slides
• Python Helping Material

1st Semester for Winter Intake 2021

Nr	Module	Type	CPs
M1	Machine Learning	Lecture	6
M2	Modern Optimization Techniques	Lecture	6
M3	Programming Machine Learning	Lab course	6
AM1	Application module I	-	6

2nd Semester for Summer Intake 2021

Nr	Module	Type	CPs
M1	Machine Learning	Lecture	6
M2	Modern Optimization Techniques	Lecture	6
M3	Programming Machine Learning	Lab course	6
M4	Seminar Data Analytics II	Seminar	4
M11	Planning and Optimal Control	Lecture	6

3rd Semester for Winter Intake 2020

Nr	Module	Type	CPs
M11	Planning and Optimal Control	Lecture	6
MS1	Methodological Specialization	Lecture	6
M12	Project (part II)	Project	9
M13	Seminar Data Analytics III	Seminar	4
AM2	Application module II	Seminar	4

4rd Semester for Summer Intake 2020

Nr	Module	Type	CPs
M12	Project (part II)	Project	9
M14	Master Thesis	Project	30

Presentations and Timetable

• Presentation: Data Analytics Welcome

Additional Information about Text Books

Here is the list of text books that will be most relevant for summer 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