[w17/18] Innovationslabor Big Data Science (Casalicchio)

Use the registration key (Einschreibeschlüssel) "bigDS" to read more about the course.
This course aims to foster the practice of software engineering and project management techniques in R within the context of data science and machine learning projects. 

Organization

• Lecturers: Bernd Bischl, Giuseppe Casalicchio, Christoph Molnar
  
• Time: Friday, 2 - 6 pm c.t., starting in the winter semester 2017/2018
  
• ECTS: 12 ECTS (e.g. as an alternative to the Statistical Consulting or Data Science Practical)

Eligibility Requirements

• Good knowledge in R, e.g. "Programming with statistical Software (R)" or better: "Advanced Programming with R"
• Predictive Modelling, FCIM or Machine Learning

General Course Setup

The course starts with a kick-off meeting and is divided into three major parts with a weekly meeting during the semester:

1. Part 1 (Lecture): Teaches fundamental topics in software engineering and project management in an inverted classroom style (with demos, discussions and hands-on exercises).
   
2. Part 2 (Issue solving): You are expected to help to solve some issues/bugs in existing libraries.
   
3. Part 3 (Project): Students team up in groups of 3-4 persons and implement a project of their choice