Data Analytics Summer Term

Semester Schedule Summer Term

The regular lectures for summer term will start after Easter on 03.04.2023. Following tables point to the webpage of lectures for the Summer Semester.

Python Tutorial

• Python Tutorial Slides
• Python Helping Material

1st Semester (Summer Intake 2024)

Nr	Module	Type	CPs
M5	Big Data Analytics	Lecture	6
M7	Data and Privacy Protection	Seminar	3
M8	Distributed Data Analytics	Lab course	6
M4	Seminar Data Analytics I	Seminar	4
MS1	Methodological Specialization	Lecture	6
AM1	Application module I	-	6

2nd Semester (Winter Intake 2023)

Nr	Module	Type	CPs
M5	Big Data Analytics	Lecture	6
M6	Advanced Machine Learning	Lecture	6
M7	Data and Privacy Protection	Seminar	3
M8	Distributed Data Analytics	Lab course	6
M9	Seminar Data Analytics II	Seminar	4
M10	Project (part I)	Project	6

3rd Semester(Summer Intake 2023)

Nr	Module	Type	CPs
M6	Advanced Machine Learning	Lecture	6
M13	Seminar Data Analytics III	Seminar	4
M10	Project (part I)	Project	6
AM2	Application module II	-	6

4th Semester (Winter Intake 2022)

Nr	Module	Type	CPs
M14	Master Thesis	Project	30

Welcome presentation (2024)

• Presentation: Data Analytics Welcome (Summer-2024 intake)

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