This advanced course introduces students to state-of-the-art computational methods for communication research. Building on foundational skills, students learn to apply advanced machine learning and natural language processing techniques to analyze large-scale communication data. Topics include deep learning, transformer models, network analysis, and ethical considerations in contemporary computational research.
This course introduces students to a foundational understanding of the use of programming languages (largely Python) for computational communication science and the practices behind open science.
The course aims to develop students’ knowledge, understanding, skills, and critical attitudes in the area of digital analytics for communication science and practice. Through hands-on tutorials and practical exercises, students will learn to collect, process, analyze, and visualize digital data using Python programming. Topics covered include Python fundamentals, data manipulation with Pandas, data understanding and privacy, advanced data analysis techniques, A/B testing and experimentation, big data and trace data collection, and large language models.
An advanced course covering theoretical and applied aspects of calculus for undergraduate students.
This seminar course explores how computer science can be applied to address pressing social challenges and create positive impact in society.
This course examines economic perspectives on education systems and policies in the context of the global economy.
A seminar exploring the relationship between education systems and economic development in global contexts.
An introductory course on applying data science methods and analytical techniques to educational research and policy questions.
An introductory course covering fundamental concepts and techniques for analyzing and interpreting educational data.
A workshop exploring the implications and applications of generative AI technologies in higher educational contexts.
A workshop examining issues of fairness, bias, and equity in internet search algorithms and their societal implications.
A hands-on workshop teaching researchers how to use Git and GitHub for version control, collaboration, and reproducible research.
A workshop introducing open-source tools and methods for analyzing large-scale educational survey data.