English

This course covers programming using data programming language on an introductory yet rigorous basis for highly motivated students with little or no prior experience in programming. The course focuses on collecting and analyzing data, as well as the grammar of the data programming language and provides an in-depth look at big data analysis.  

Modern scientific, engineering, and business applications are increasingly dependent on data, yet traditional data analysis technologies were not designed for the complexity of big data. Big data analysis has emerged as a new, exciting, and fast-paced discipline that explores novel statistical and implementation challenges that emerge in collecting, processing, storing, and extracting knowledge from big data.  

Students learn how to collect, process, and analyze large amounts of data by combining data analysis technology and artificial intelligence technology.  Students will use Python as a powerful tool for data management and analysis and analyze structured and unstructured data using LLMs for natural language processing, text analysis, and graph-based multi-agent systems.  In addition, data management and system design techniques using RAG (Retrieval-Augmented Page 1 of 9 Generation) and APIs that support prompt engineering techniques and AI-based decision-making will also be covered. 

This is a useful course for students who want to combine and utilize data analysis and artificial intelligence technology in various fields such as information technology (IT), business analytics, marketing, and strategic planning. 

Prerequisites:  Basic knowledge of the system configuration of the operating system (Windows, macOS, etc.) (e.g., setting environment variables, etc.).  Basic knowledge of the Python programming language 

This advanced topics course covers reinforcement learning, search, and test-time scaling of large language models that are expected to drive the next generation of AI systems. 

Topics include: Basics of RL (Markov Decision Process and Policy evaluation), Basics RL (Imitation learning, Deep policy gradient methods), Basics of RL (Deep Q-Learning, Rainbow DQN); Symmetric alternating Markov games, Monte Carlo tree search, expert iteration, and AlphaGo; Imperfect information games, Counerfactural regret minimization, and Pluribus; NLP basics (RNN, beam search, tokenizers); NLP basics (Transformers, encoder-decoder architectures); Instruction fine-tuning, Scaling laws of LLM pre-training; Reinforcement learning with human feedback, direct policy optimization, Group Relative Policy Optimization (GRPO); Chain of thought, Process reward models, Prover-verifier games; In-context learning, Scaling LLM Test-Time Compute; DeepSeek-R1. 

This course introduces and elaborates on diplomatic practices, such as negotiation and mediation. Central issues discussed and compared are varieties of diplomacy, newness and decline of diplomacy, cultural differences in international negotiation, and third parties in international negotiations. Practice and strategies are linked to various diplomatic actors, such as states, intergovernmental organizations (IGOs), nongovernmental organizations (NGOs) official, and unofficial diplomats. The course stresses the linkage between theory and practice in international relations.

This course discusses differential geometry of curves and surfaces in Euclidian Space: curves in 2- and 3-dimensional spaces, local and global theory of surfaces, special classes of surfaces, discrete curves and surfaces.

This course will help students to 1. Understand the origin, development, clinical application and dominant diseases of acupuncture and moxibustion; 2. Be familiar with the experimental progress and scientific research of acupuncture and moxibustion in the treatment of pain, mental disorders, reproductive metabolic diseases, degenerative diseases, bone and joint diseases, etc.

Diseases that integrate physiology, cellular biology, and molecular biology with pathophysiology and pharmacology are central to this course. The course provides a comprehensive perspective on organ system related diseases, their complications, and treatments at the molecular, cellular, and systemic level. The course starts with a focus on basic pathophysiology at the cellular and molecular levels and an introduction to pharmacology with a focus on pharmacodynamics, pharmacokinetics and toxicology. The course covers various aspects such as pathophysiological mechanisms, pharmacological and non-pharmacological interventions, the mechanisms of the impact of drugs at the molecular, cellular and organ level and ethical considerations related to the UN Global Goals from a broad perspective. During the course, different parts of the drug development process are introduced – from the early pre-clinical stages to clinical trials and approval. Pre-req includes BIMB40 Organ Systems and Homeostasis of the Human Body.
 

This covers how international disputes are settled (or not) under international law. The class focuses on international disputes and examines how international law is applied to legal issues of disputes. Students obtain a critical approach to international law in perspective of its role and limits. This course also examines other mechanisms of dispute settlement developed in specific areas of international law. There are no prerequisites, and no prior knowledge in international law will be assumed. This course is primarily for students who have not studied international law before. Students with different backgrounds in international law are also welcome in this course. 

The course explores the long-term socio-economic consequences of exposure to natural disasters, focusing on the level of the individual. It consists of two complementary classes that have to be taken together. The first part of the course provides students with a theoretical foundation for understanding how natural disasters can shape economic and social outcomes over time. It focuses on discussing channels and mechanisms through which the natural environment and disasters or upheaval, in particular, affect individuals. Topics covered include the impact of such disasters on health, education, household income, labor markets, and migration. Students familiarize themselves with underlying microeconomic models, discuss research methods like causal inference strategies, and analyze empirical findings from academic research. The second part of the course is designed to deepen students’ understanding of the concepts covered in class through active engagement with empirical studies. Students are required to present and critically discuss academic papers that investigate natural disaster effects using micro-level data. The seminar emphasizes methodological approaches, data sources, and empirical strategies, encouraging students to evaluate the presented research critically and develop their analytical skills.

This course introduces physical chemistry which is the basis for the analysis and design of chemical and bio-processes. Students learn the state and structure of pure matter, understand the state of mixed and complex matter, and grasp the mechanism by which matter changes. 

This course provides students with an opportunity to explore various actual cross-border M&A (merger and acquisition) transactions including outbound and in-bound investments and related contracts and processes from a practitioner’s perspective. 

Under the guidance of professors or lawyers at legal clinics or legal counseling centers on campus or at law offices off campus, students gain experience through participation in planning, due diligence, contract drafting and negotiation exercises. The course allows students to experience the practical aspects of working on cross-border M&A transactions and to equip them with the ability to spot potential issues and come up with solutions in the context of such transactions, thereby helping to prepare them for a future career as an international corporate practitioner. The course is conducted in English, with an emphasis on enhancing the students’ ability to communicate in English and handle English language documents, which are critically important skills for engaging in international transactional work.