National Taiwan University

The teaching and discussion scope of this course starts from the pre-Qin and Han Dynasties and then proceeds to the Tang and Song Dynasties. The discussion of this course starts with the concepts of body and mind and essence, energy and spirit in Taoism and Taoist thought as the main axis. Mainly through the reading of secondary materials studied by scholars, the course conducts thematic discussions and reflects on the relevant issues involved. 

This course attempts to guide students to understand various aspects of Taiwan's modern art history through reading papers, historical materials, and actual inspections (appreciating works and on-site inspections). The course initially focuses on the transplantation and establishment of the art system in Taiwan. First, the course briefly explains the process of transplanting the concept and system of "art" to East Asia and introduces the art exhibition as the most important art exhibition in Taiwan's "art" system. The course starts from the perspective of "people" and tries to understand the representative artists and their creations related to "Taiwan" by reading papers and historical materials while analyzing them in different contexts and research perspectives.  

As a part of advanced use of biological resources, this course explains the conversion and utilization technology of biomass to energy and materials. This course also refers to the latest technologies and diffusion trends on renewable energy and considers constructing a resource recycling society where renewable energy is utilized.  

This course offers practical training in data science, focusing on high-dimensional data computing and dimension reduction algorithms. The characteristics of this course are the hands-on experience with high-performance computers and the observation of real data from a statistical perspective. Practical exercises will be conducted on high performance GPU servers on the cloud, possibly utilizing resources such as the NVIDIA V100 from our NTU or Google Colab. In addition to the hands-on exercises, statistical theories related to dimension reduction algorithms, data visualization, and data interpretation are introduced. The Python programming skills are taught during the first month as part of a combined and quick recap course. The course is taught in English, but bilingual Q&A sessions are acceptable. 

Negotiation is a cornerstone skill in both personal and professional realms, influencing outcomes from business deals to interpersonal relationships. By adopting the Harvard Negotiation Project framework, this course aims to empower students with the knowledge, strategies, and practical techniques necessary to excel in various negotiation scenarios, fostering mutually beneficial agreements and sustainable relationships. Topics include the basic principles of negotiation, development of effective communication skills, application of analytic frameworks, and navigation of power dynamics, which will allow students to foster the needed skill sets for successful negotiation. 
 

This course explores the use of ChatGPT, a large language model, as a tool for engaging with philosophical questions and problems. The course instructs how to interact with  ChatGPT to generate responses to philosophical questions and covers a range of topics on the philosophy of space. For instance, the course seeks to answer the questions: Does space exist like a substance in its own right, or is it nothing but spatial relationships between objects? Are there objective facts about the geometry of space, or are they in some way conventional?   
 
Overall, this course aims to develop students' critical thinking and analytical skills by providing them with a unique opportunity to engage with philosophical questions using cutting-edge technology. 

This course discusses the basic principles and practical applications of bioinformatics. The course discusses the processing power of computers to effectively solve data analysis in biomedical research, the application analysis of biomedical databases, and biomolecular structure analysis and functions prediction.   

This course is a continuation and extension both in materials and depth of Fluid Mechanics I, which is a fundamental and required course of the Department of Mechanical Engineering. This course provides students with a clear picture and explanation of flow phenomena but also enhance their capability of analysis of engineering problems. This course covers the following topics: Kinematics of Fluids; Governing Equations; Elements of Ideal-Fluid Flow; Viscous Flow Theory; Elements of Turbulent Flow; Steady One-Dimensional Compressible Flow, and Oblique shock and Expansion Waves.

Digitization and the internet lower the cost to collect, disseminate and analyze data. This course explores how digitization affects interactions between people, firms and governments.  It examines how institutions and regulations can and do respond. Topics include privacy, social networks, network effects, online platforms, recommendation algorithms, reputation mechanisms, search, matching and digital payment systems. Advanced economic theory, especially tools from information economics, are used to explain features of the digital economy and suggest policy recommendations. 

Phonology is the ability of the human brain to organize speech sounds. This course explores different aspects of phonology within generative linguistics, using rule-based frameworks in the tradition of Chomsky and Halle’s (1968) Sound Pattern of English.  The course discusses phonological representations, phonological features, phonology-morphology interaction, syllabification, and stress assignment.