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Game theory is the study of strategic interactions among rational agents. Game theory provides techniques for analyzing situations in which two or more individuals make decisions that will influence one another’s welfare. It has applications in many fields of social science, used extensively in economics, business, political science, and international relations.
This course introduces Game Theory, with a strong emphasis on applications in economics and business. The objective of the course is to give students an understanding of the core concepts of Game Theory and how to use them to understand economic, social, and political phenomena.
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Ancient Greek is the original language of ancient Greek historians, writers, and philosophers such as Herodotus, Sophocles, Plato, and Aristotle, as well as the language of the New Testament. This course studies the basics of ancient Greek.
To understand Greek thought and Christianity, the two roots of Western culture, it is essential to read the ancient Greek classics and the New Testament. Understanding a language cannot be separated from understanding the social context in which it is used. This course then studies ancient Greek while studying the basic framework of ancient Greek politics, economics, and philosophical thought.
As many vocabulary words in modern Western languages are derived from Greek, understanding Greek language equates to understanding modern Western languages, including English.
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An introductory course providing students with a broad overview of political science as a social science discipline, this course seeks to cover the basic principles of political theory, comparative politics, and international relations over the course of the semester. The course covers a wide range of topics, from political theory, ideologies, nations and states, the government, interest groups and society, elections, political psychology, political violence, international relations, and global politics. The goal of the course is to introduce key concepts and ideas in political science, and to encourage students to explore these concepts further through other courses or by themselves.
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Utilizing a multi-disciplinary approach based on infrastructural history, this course introduces students to modern and contemporary East Asia. While investigating the formations and transformations of empires and nations as sites of contests and tensions between different ethnicities, polities, and cultures, it also explores major cities in China, Japan, and Korea as the infrastructure of modernity rooted in the mobility of ideas, goods, capitals, and peoples. In doing so, it aims to gain an understanding of the dynamics of changes and continuities that shaped and are shaping the East Asian empires, nation-states, and societies. The major foci of attention are the intra-relations among the three East Asian nations, and the inter-relations between East Asian civilizations and Western civilizations from the late 19th century to now.
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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
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This course introduces basic and advanced mathematics used in engineering to develop an awareness and an appreciation of the role of mathematics in engineering. This course deals with mathematical principles, methods, and modeling.
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This course gives a practical introduction to system software, the interface between user applications and the operating system. The course covers system programming and operating system concepts, particularly process management, memory management, file systems and I/O, network programming, concurrent programming, and synchronization. The contents of the lecture are applied in labs and homework assignments.
Prerequisite: Computer Architecture; Familiarity with C programming required or to be acquired through this course.
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Marketing communications are how firms inform, persuade, and remind consumers about their brands which are viewed as one part of the overall marketing mix. The goal of marketing communications is to convey meanings to the relevant consumer audience to build a strong brand value. Designing an effective marketing communications mix involves moving the target customer from their current knowledge state on a firm’s brand values to the state desired by the firm.
This course teaches how to design a marketing communication plan to build brand values. Furthermore, it discusses how to develop an effective marketing communication program and how to design and evaluate different communication plans to achieving the desired objectives of the firm.
Important note: The course covers recent advertising clips, including Korean ads that are presented in KOREAN language. There may also be guest speakers from Korean advertising agencies who may lecture in Korean only.
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Design thinking is a creative and collaborative process that focuses on understanding the problem from the customer’s perspective. This course introduces design thinking within the context of digital innovation because no disruptive innovations can be made without understanding the customer’s needs and technological change. In today’s rapidly changing business environment, organizations face many challenges, which include disruptive technologies and economic pressures, as well as keeping up with changes in customer behavior. In this sense, design thinking provides an effective tool to cultivate an innovative thinker and uncover creative business opportunities.
Therefore, this course is designed to:
(1) Understand and analyze the multiple, complex problems of information, systems, and design that one will encounter; and,
(2) Identify opportunities for designing better interactions, decisions, and outcomes.
More specifically, the course discusses two main themes, “design thinking” and “digital innovation practice” through a digital innovation project solving a real problem. The project will stretch one’s “design thinking” by identifying social design, innovation, information systems problems through a variety of design discussions and exercises. The course also provides practice for “digital innovation” by instructing on ways of synthesizing people-centered design opportunities and creating tangible solutions.
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This course provides students with advanced knowledge and current approaches in systems neuroscience that focuses on understanding brain function and behavior at the level of neural circuits and their interactions.
Previous exposure to basic neurophysiology is recommended.
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