English

This course focuses on designing strategies from the market back to create, deliver, and sustain customer value in an industrial setting. To do so, this course views marketing as both a general management responsibility (building capabilities and firm processes) and an organizational orientation (culture and structure). The course pays attention to tactical decisions (e.g. sales, advertising, pricing) or formal models of marketing decision-making (e.g. forecasting or product diffusion models). The level of analysis is on the business unit and its network of channels, customer relationships, and alliances. Participants learn about the nature and value of market orientation vs. other firm orientations; the development of marketing capabilities and assets, and understand principles such as market learning, customer relationships, alliances, and dynamic distribution channel strategies.

This course examines the complex relationship between politics and gender. It introduces various theoretical perspectives on the ways in which politics, public policy, and international relations are shaped by and contribute to gender dynamics. In particular, the course delves into the gendered and gendering nature of politically relevant phenomena such as representation, political behavior, and war and conflict. Moreover, by presenting empirical cases through a variety of methodological and analytical lenses, the course introduces a wide range of ways of carrying out feminist, gender, and intersectional studies of politics and policy. 

This service-learning course combines a structured curriculum and extensive partnership with a local community-based organization to offer tangible community service. Here, student community service includes direct
engagement as well as a research-based action plan addressing a specific challenge or goal identified by a community-based organization. Students begin by exploring key community-based organizations: examining their
mission, vision and goals, and the place of the organization in the local community. Each student then works with an assigned partner organization and invests at least 90 hours partnering with the organization, working with them
and investigating ways to solve a challenge or issue the organization has identified. Student service-learning includes exploring the proximate and ultimate drivers of the organization's chosen challenge, and the organization's
infrastructure, resources, limitations and possibilities for reducing barriers to achieving the organization's self-identified goals. In concert, coursework probes the role of community-based organizations in both local and global
contexts, common challenges of community-based organizations in defining and implementing their goals, the role of service-learning in addressing these issues, and effective ways for students to help them achieve their mission,
vision, and goals. Coursework also guides the student's service-learning experience by helping students develop sound international service ethics, provide tools to investigate solutions to common development issues, aid in
data analysis and presentation, and provide best practices to illustrate findings and deliver approved joint recommendations orally and in writing. Throughout, students use service-learning as a means to expand their global awareness and understanding, explore shared aspirations for social justice, and develop skills to work with others to effect positive change.

This course examines key ideas behind algorithms from a statistical perspective, and provide an in-depth knowledge that will enable students to apply the methods with awareness of their strengths and limitations. The topics covered will include probabilistic and analytic foundations, multivariate statistical analysis and machine learning, with a particular focus on clustering, classification, model selection and high-dimensional statistical analysis. 

Public Economics is about how the public sectors that represent ‘the State’ promote the public interest. This course is situated in the context of democratic countries that rely mostly on free markets. It deals with practical or real-life aspects of public economics in confrontation with micro- and macro-economic theory. Over time, economic theories and models have become more specific and rigorous whereas social, political, and economic reality has become more multifaceted. The passing of time brings complexity to the world, both for the private market and that of the public sector. Part of this growing real-life complexity is due to the more ambitious role that governments tried to play since the last century, while part is due to choices made by governments themselves. Complexity has increased opportunities for abuses, rent-seeking, and for mistakes in policies. This complex reality with its ‘wicked problems’ makes it much more difficult for governments to (a) allocate resources, (b) redistribute income, (c) protect some incomes and influence, in various ways, the level of production, employment, prices, and economic activity appropriately to the economic theoretical standards. The goal of this course is to engage in this complex issue from the perspective of public economics, and from there to design a public finance solution to some wicked problem. Entry Requirements include courses in Micro or Macro Economics and Statistics.

This course is an introduction to history and theory in architecture and landscape architecture. To understand the making of built places, from the scale of the house to that of the city, the course is built around three questions: what is the built environment and how is it formed and transformed; how do we analyze built places and how might we imagine and create better social and environmental outcomes in our built places through design. Using a contemporary city as its key case study, location for student fieldwork and the mapping of places, the course is organized into four parts, addressing in turn: infrastructures, housing, health, and knowledge institutions.

This course examines geographical information systems (GIS) using basic statistical methods and spatial analysis. It focus on various spatial analysis and modelling techniquesﾠand geo-visualization for applications relating to the natural and built environments and human activities.

The context and behaviors of computer usage have been rapidly changing as the shift of computer use environments moved from desktop computers to mobile devices to the Internet of Things, leading to the remarkable appearance of Web 3.0 technologies including XR/AI/Sensor/Blockchain which have been called new design frameworks of NPD processes that may support the big step from “interacting with computers” to “interacting with AI.”  

Now advanced enterprise architectures are rapidly adopting the “Cognitive Internet of Things.” This drastic shift signifies a fundamental game changer for the UX matters.  

This course converts the initiative in the design management strategy into the study of new HCI/UX design and analysis methods in relation to cognitive science theories and design methodologies, bridging contemporary and in-depth academic interests and approaches in the field. 

Students will explore the theoretical framework of human-computer interaction (HCI) and will build an understanding of HCI-based UX research methodology, the user research process, and practical methodologies, and will engage with the current topics of HCI/UX research and the practical use of convergence studies.