Origins Data Science Block Courses

Europe/Berlin
Description

The Origins Data Science Lab (ODSL) is organizing two block courses of three afternoons each on data science topics.

Each block consists of six lectures of one hour, followed by the possibility to work on a set of problems, including small calculations and implementations.

The courses will be online and we share the links to the registered participants.

Block I (September 1-3):  Introduction to Probabilistic Reasoning

In this course we will introduce the basic concepts of reasoning under uncertainty. After a brief introduction to probability theory and commonly used probability distributions, we discuss inference tasks with various probabilistic models. We conclude by outlining methods to approach more involved inference tasks through approximation or sampling.

Lecturer: Jakob Knollmüller (jakob.knollmueller@tum.de)

Prerequisites: Linear Algebra, basic Analysis, a programming language of choice

Skills acquired: basics of probabilistic reasoning and Bayesian inference, probabilistic modelling, model comparison, approximate inference

Block II (September 8-10): Introduction to Numerical Methods and Machine Learning

This course is focusing on methods for data processing, optimization and machine learning. First we will learn the basics of data decorrelation, reduction and optimization algorithms. Based on these new skills, we dive into machine learning topics, such as clustering, classification and regression with tree based algorithms and neural networks. In the last part deep learning models and different architectures will be introduced and explained.

Lecturer: Dr. Philipp Eller (philipp.eller@tum.de)

Prerequisites: Linear Algebra, basic Analysis, a programming language of choice

Skills acquired: basic data transformations, knowledge in various optimization algorithms, k-means clustering, decision trees, neural networks, convolutional neural networks, auto-encoders, generative models

Forms of credit

It is possible to get a Certification or ECTS points for participation in the Block Courses:

To get a Certificate of Participation (for either one of the two blocks or both), you will need to turn in solutions to the exercises that will be assigned during the course and get a passing grade.  The certification will be done on a course-by-course basis, and will state that you have successfully completed the Block Course in the respective topic.  Please register for the course in advance so we can estimate how much work will be involved in the evaluation of the reports.

To get the 3 ECTS points, you will need to turn in solutions to the exercises for both Block Courses that will be offered this year. The grade for the course will be based on the two sets of exercises, and there will not be an additional exam. The deadline to hand in the report is September 30, 2020. Please register for the courses in advance so we can estimate how much work will be involved in the evaluation of the reports.

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