Teaching

CS105 Statistical Thinking for Data ScienceĀ 

TBA. To be offered 2019/20 Term 1

ISSS606 Social Analytics and Applications

Term(s) taught: 2018/19 Term 2 & 3

This course focuses on data analytics in the context of social media. Increasingly people interact with each other on social media on a daily basis, which generates a huge amount of social data. We are primarily interested in two types of social data: social relationship networks, such as friendship networks and professional networks, and social text data such as user reviews and social status updates. Thus, this course integrates both network (formerly known as graph) mining and text analytics, with more emphasis on the network portion.

This course will prepare you with the fundamental data science and programming skills to process and analyze social data, in order to reveal valuable insights and discover knowledge for making better decisions in business applications. You will not only learn the different theories and algorithms for social data analytics, but also have a chance to apply them to real-world problem solving through in-class lab sessions and course project.

IS111 Introduction to Programming

Term(s) taught: 2018/19 Term 1

An introductory course for programming, using Python as the exemplary language. No prior knowledge in coding required.