English

This course studies advanced topics in human visual, auditory, and multisensory perception and cognition. The content ranges from classical theories and experimental methods to the latest results and theoretical discussions in the field. It also relates these scientific concepts to our practical experience of how we perceive the world. 

This course examines how the sky has shaped cultures from across the world and in different times. Students explore how sky watching has provided answers to fundamental questions, such as the origins of life and the world, how society should be organized, and how lives should be led. Topics include perspectives from Indigenous, European and Asian cosmologies, practices of prediction including astrology and meteorology, and implications of technology that is now reshaping the sky. 

This course equips students with fundamental skills and conceptual knowledge essential for investment professionals, including money managers, security analysts, and investment advisors. Students gain a strong foundation in the theoretical principles and practical applications of portfolio investment techniques, with an emphasis on using Python for financial analysis. Additionally, the course incorporates discussions on recent financial news relevant to lecture topics, enhancing students' understanding of real-world investment scenarios.    

The course covers the following topics: The Investment Environment; Portfolio Theory and Practice; Equilibrium in Capital Market; Fixed-Income Securities; Security Analysis, and Options, Futures, and Other Derivatives. 

Recommended prerequisites: Basic knowledge of statistics and understanding of introduction to microeconomics. 

This course provides in depth knowledge of fundamental results and methods in discrete dynamical systems, knowledge of the concrete dynamical systems presented during the course, and an understanding of the many and diverse appearances and applications of discrete dynamical systems. It develops skills to analyze and argue for results on discrete dynamical systems, produce proofs for theorems, and solve exercises posed during the course.

This course critically examines the ways the past is established, experienced and represented in the present. The objective is to foster an appreciation of history as a dynamic undertaking in which not only academics, but societies as a whole participate. The course is comprised of theoretical core and changing case studies that touch on media representations, museology and conservation, historiography and the philosophy of history. CA projects afford students the opportunity to experience first-hand how history, far from being confined to libraries and archives, is part of daily life. While the course targets primarily History majors, its cultivation of critical skills in the analysis of written and visual texts is relevant to students from all faculties.

This course provides a mathematical foundation of regression analysis for advanced undergraduate students or graduate students who have studied intermediate-level econometrics and are familiar with probability theory and regression models. This course studies estimation methods for regression models such as ordinary least squares (OLS), generalized least squares (GLS), instrumental variables (IV) estimation, and the generalized method of moments (GMM) in a mathematically rigorous fashion.

This seminar course surveys major approaches and current issues relevant to the study of language in society. It aims to familiarize students with a range of theoretical and conceptual frameworks they may refer to in addressing sociolinguistic questions across a variety of sites and to provide general principles that they may consider when engaged in the study of language in social context. For this purpose, we will critically discuss classical and contemporary research in sociolinguistics to explore the historical background, prevailing assumptions, methodological perspectives, and analytic strengths of different approaches to language in society and consider recent developments in the field. Students will also be enabled to use empirical methods to conduct sociolinguistic research.

This course examines financial application, business use cases of infrastructure and applications of distributed ledger technology; various forms of digital assets including stablecoins, security token, cryptocurrencies and smart contracts technology and applications will be discussed. It covers how regulated TradFi participants in blockchain and crypto native operate respectively in brokerage, asset management, venture capital investment, structured products and exchange operations. 

This course focuses on data and programming structures for the development of macros and applications developed with Visual Basic for Applications (VBA) in the Microsoft Office suite. Other topics include: creating PivotTables for data analysis; creating functions, forms, and menus; an introduction to R language. Pre-requisites: Information Skills; IT Management.