I am teaching the following 3 exciting courses, which have been (co-)designed by myself.

1) Business Data Analytics: This course is meant for students as a hands-on experience for solving business problems in the fields of sales, marketing, and business operations by applying statistical analysis, machine learning, social network, and media analysis techniques.

2) Network Science: The objective of this course is to introduce concepts of network science using hands-on exercises. To be specific, the students will learn how relationships among various entities (for example people) can be analysed and interpreted through methods of social network analysis. Students will be introduced to how social network analysis borrows ideas from Mathematics (Graph Theory), Social Sciences (Sociology, Economics), Natural Sciences and Engineering (Physics and Computer Science) to solve problems in different domains. In addition, advanced neural networks based techniques such as Graph Neural Networks will also be introduced.

3) Computational Social Science: The objective of this course is to present various computational techniques to study societal issues. In particular, the course introduces techniques from large scale data analytics, social network analysis, natural language processing and state-of-the-art AI. It especially focus on societal issues which are prevalent through online social media platforms. These issues include understanding of human behavior and interactions in online movements (social and political), hate speech detection and mitigation, impact of misinformation, mental health awareness, formation of echo chambers and polarization in society.