Information Science

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Introduction to the Major

Faculty members talk about what you can learn and what makes this major special.

Mission Statement

Information science is intimately related to all aspects of modern society, intersecting with natural science, social science, and humanities, and is positioned as an interdisciplinary tool essential for solving societal challenges. On the other hand, information science is also established as a field of study in its own objectives, grounded in mathematical logic and computational theory, exploring the limits of technology while aiming to create innovative technologies such as artificial intelligence and quantum computing.

The mission of the information science major goes beyond mere skill acquisition; within the framework of a liberal arts education, it aims to cultivate problem-solving abilities through the application of information science technology and to develop analytical and logical thinking skills through the understanding of information science technology.

Learning Goals

The goal of the Information Science major is to provide students with a superior grounding in the discipline of computer science, including the mathematical dimensions of information science, its physical implementation on computer hardware, and excellent practical skills and deep insight into the realm of software. The major seeks thereby to enable the applications of information science to have a major impact in our society and economy.

Contemporary information science and technology covers a broad range of interrelated areas, including discrete structures of data, programming technology, algorithms and complexity, architecture and organization, operating systems, network-based computing, programming languages, human-computer interaction, graphics and visual computing, intelligent systems, information management, software engineering and numerical methods in computing.

Students majoring in Information Science are expected to acquire fundamental technical knowledge in areas such as programming, data structures and algorithms, and computer architecture. Additionally, they must gain specialized expertise in at least one domain. Examples of such domains include data science, information processing technologies for image, audio, natural language, and biosignals, human-computer interaction, robotics, and systems engineering. For their senior thesis research, students are required to produce insights based on a deep understanding of these cutting-edge technologies. Through the interdisciplinary learning at ICU, they should be able to identify challenges across various fields and seek solutions through the application of information science.


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