English

This course introduces information technologies (IT) in organizations and the interplay between IT, work, management, and organizations. The course examines the impacts of modern IT and the related artificial intelligence (AI) technologies on knowledge workers, teamwork, work design, management practices, and the organization. The course discusses the multifaceted roles IT can play to support communication, collaboration, and organizational improvements in operations, planning, and decision making. Students learn to apply strategic thinking to identify opportunities for IT-enabled innovations and issues involving information systems (IS) adoption and deployment.

This course focuses on the basics of infrastructure as a complex system, giving priority to the interdependencies across infrastructure, and how these links result in macro infrastructure properties, such as resilience, security, and adaptability. Challenges for infrastructure including climate change are elaborated in the context of infrastructure as a system of systems. Exciting opportunities from digitalization, decentralization, democratization, decarbonization, etc. are exposed, highlighting the connectedness of nature, society, and engineered systems. It is essential for future engineering leaders to appreciate how their sectoral systems create stakeholder value and deliver critical services in the context of infrastructure as a whole, and how these values and services change over time. The course also provides an overview of transdisciplinary approaches and methods for the analysis and visualization of infrastructure, equipping students with the skills to communicate challenges, opportunities, and recommendations to improve outcomes from infrastructure throughout its lifecycle.

This course aims to: 

• Understand the genesis of Big Data Systems 

• Understand practical knowledge of Big Data Analysis using Hive, Sqoop, Linux Shell  

• Provide the student with a detailed understanding of effective behavioral and technical techniques in Cloud Computing on Big Data  

• Demonstrate knowledge of Big Data in industry and its Architecture   

• Learn data analysis, modeling and visualization in Big Data systems 

Prerequisites: 

• Mastery over Microsoft Windows and its File Management (Windows Explorer) facilities  

• Basic knowledge of any programming language (SQL, Python, Java)  

• Basic knowledge of BI tools such as Excel, Tableau, Power BI, Google Spread Sheet 

This course introduces fundamental concepts and theories of public administration as well as an overview of issues and practices related to the public administration. The course focuses on the environment, values, and core functions of public administration. It explores: (1) how various government agencies run; (2) dynamics between government and politics, and (3) relationships between government, market, civil society, and citizens.

This course aims to equip students with the skills necessary to deliver effective and engaging impromptu speeches. In this course, students will learn how to apply various impromptu speech frameworks, including the PREP, STAR, and PPF models, to organize their thoughts quickly and communicate their ideas clearly. This course will also cover persuasive techniques, opening & closing techniques and strategies for building confidence and delivering impactful speeches on stage. Furthermore, students will develop transferable skills in critical thinking and non-verbal communication that can be applied to a variety of personal and professional settings.

This course offers a study of the theory of automata and formal languages. Topics include: automata theory; finite automata; languages and formal grammars; regular languages; pushdown automata; Turing machine; computational complexity.

This course reviews the history of Western international society and its global expansion, placing the development of the League of Nations and the United Nations (UN) in this historical context. The course particularly focuses on the role of Japan in any international organization.  

The course introduces students to the theory and history of international organizations, seeking to understand the following four subjects: (1) International Society, Rationalism or the English School as the third paradigm of International Relations in contrast to Realism and Liberalism; (2) the historic developments of Western international society and international organization; (3) the political dynamism behind the creation of the League of Nations and the United Nations (UN), and (4) the historic significance of a global liberal order.  

In this course, students learn the fundamentals of spatial information, spatial querying, spatial information systems, and geometric problems involved in a spatial information system. They learn details about the spatial data formats (raster and vector), spatial relations (with particular emphasis on topological relations), spatial data structures, digital terrain modelling, geometric problems arising in spatial information systems, and algorithms to solve them. They develop a critical understanding of the different approaches to storing and manipulating spatial data: the loosely coupled approach of classical GIS versus the integrated approach of spatial database management systems. Students also analyze the Oracle Spatial object-relational model for storing and indexing spatial data. These notions complement their knowledge of other types of information systems seen in other computer science courses.

Examining flows of diseases, people, goods, knowledge, and technology induced by processes of globalization can deepen our understanding of the complexity of health and disease. In this course, these flows are studied in depth, bringing insights into (epi) genetic disease distributions as well as the spread of information, technology, and migration, all in themselves affecting health and disease. The content of this course draws on several distinct academic disciplines of political economy, anthropology, biomedicine, (epi) genetics, and epidemiology. Prerequisites include Introduction to Biology and at least one of the following courses: Genetics and evolution, Infectious diseases and Global public Health, or Globalization and Inequality.