English

This course examines marine conservation and spatial prioritization tools and protocols for enabling multiple simultaneous uses of the coastal marine estate and their application to environmental management.

This course introduces more advanced topics in calculus and ordinary differential equations. The course introduces students to multi-dimensional vector calculus and differential operators, and to the calculus of variations and the concept of variational problems. Differential equations play a key role in both pure and applied mathematics. The importance of these ideas is emphasized by the inclusion of a number of applications in physics, engineering, and biology. 

The course explores the unique landscape of sustainable fashion in Italy, highlighting the interplay between its rich historical, cultural, and artisanal heritage, and the contemporary surge in experimental and high-tech practices driven by R&D centers and emerging brands. Students examine how these two facets intertwine – both theoretically and in practice – shaping a dynamic and contemporary sustainable fashion scenario. Thus, the course delves into Italy’s artisanal legacy in fashion and textile, presenting case studies of local craftsmanship and companies, accompanied by an overview of contemporary cutting-edge experiences, to assess their role in the current sustainable paradigm.

To this extent, students are primarily introduced to the historical development and meaning of sustainable fashion in the Italian context, to then focus on more recent trends in material innovations, design, and production processes. The contents of the course also cover the foundations of sustainable fashion as a global phenomenon, to critically reflect on its definition and to explore key sustainability principles. Classes are scheduled according to macro themes and employ a hybrid approach, blending theoretical knowledge (traditional lectures) with practical application through class activities (hands-on or meta design projects). An interdisciplinary perspective is adopted to demonstrate the possibilities of integration of ecology, philosophy, science and art in the design perspective. The course features field visits to local museums, institutions, and designers’ studios to witness sustainability in action. Additionally, guest lectures from field experts and scholars provide specific insights or address key challenges.

This entry-level course covers statistical analysis related to survey methodologies and statistical analysis tools such as R, Stata, and Python for data analysis as a general topic of international studies.  

Students learn various data analysis methodologies in the fields of international economy, international development cooperation, and international relations, and how to generate, interpret, and critically judge quantitative analysis results on major topics covered in those fields. 

This course is ideal for undergraduate students in international studies who want to apply econometric principles to real world data. It is particularly suited for those seeking to develop skills in R programming, including data cleaning, visualization, statistical modeling, and interpretation, to support independent research and future academic or professional endeavors. 

This course provides a comprehensive and systematic introduction to the operating mechanisms and latest development trends of Chinese financial markets and institutions. Starting with a macroeconomic overview of the Chinese financial system's role in the global economy, the course delves into the banking sector and shadow banking, money markets and interest rate liberalization, the pricing of credit risk in bond markets, and the multi-level structure and core institutional reforms of the stock market. Building on traditional financial market theories, this course incorporates cutting-edge academic perspectives. We will explore how FinTech, machine learning, and Large Language Models (LLMs) are reshaping traditional financial landscapes, including applications in intelligent investment advisors (robo-advising) and risk management. Furthermore, the course utilizes behavioral finance to analyze the unique characteristics of retail investors in China and the impact of financial narratives on asset pricing. Through case studies and academic literature, students will not only master quantitative analysis tools but also gain a deep, globalized understanding of the uniqueness and future evolution of China's financial system.

The course explores various social and ecological issues that are perpetrated by the current system of exploitation for economic gain. Students are introduced to the "flourishing business model canvas" (by Antony Upward). The components of the canvas are broadly discussed throughout the duration of the module, and familiarization with grand societal challenges and entrepreneurial approaches to them. Students work in teams during lecture time to analyze existing sustainable business models and understand how they are aiming to solve problems while delivering social and ecological value. Other sustainability related issues are discussed in class. Team work, open group discussions and utilization of the business model canvas foster sustainable entrepreneurial competencies such as cooperation, individual reflexivity, and initial strategic and systems thinking.

This course introduces principles of diffusional separation processes for simple gas-liquid and liquid systems. It includes qualitative and quantitative analysis of binary distillation, absorption and stripping of single solutes between immiscible gas and liquid phases, and liquid-liquid extraction between immiscible phases. Brief consideration is given to the economic viability of separation processes. 

This course introduces the basics of business analytics, which uses data and models to make business decisions. It focuses on descriptive analytics and predictive analytics, and covers detailed topics such as data management, data visualization and summary, hypothesis testing, linear regression models, logistic regression models, decision trees, and data mining. The goal of this course is for students to 1) identify key factors in business decisions, 2) apply various tools and techniques to make evidence-based business decisions, and 3) effectively explain and communicate those decisions to various audiences and stakeholders. 

We use language all the time to express our thoughts and understand others. But how does language work? Key questions covered in this course include: how do names refer to an object? Do words mean whatever we intend or use them to mean? What role does convention play in fixing meanings? Are our terms vague, or precise? Can a person have a private language? How do we communicate beyond the literal? What are speech acts and are they available to everyone in our society? All of these questions are of interest in their own right, and also have applications to further issues in philosophy and beyond.

In this course, students demonstrate independence and originality in order to plan and organize a large project over an extended period, and to put into practice prior engineering knowledge, skills, and research methods that they have learned throughout the course. Students demonstrate their ability to apply previously taught knowledge and skills to a substantial problem in computing; conduct an independent investigation and apply cutting-edge research, methods, and thinking appropriate to the problem; present complex technical material orally to a mixed audience; and exercise scientific writing skills by way of a substantial written report, summarizing their findings.