学部前期課程
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学内で開催されるオンライン授業の情報漏えい防止のため,2020年9月16日以降は授業カタログの更新を見合わせています

情報(PEAK)

Science, Technology, and Society in the Information Age
The mathematical concept of information can be found all across disciplines of science and philosophy, because of its invaluable property to retain all its properties regardless of the media where it is instantiated. This extraordinary substrate independence and interoperability are what made possible all symbolic representations, from the genetic code, which allowed for life to develop upon it, to human cognitive capabilities including language, science, and all technological inventions which led to the modern society.

This course aims at providing students with a fundamental understanding of information systems, which plays an essential role in our modern life, in the middle of a rapidly transforming society. Students will not only acquire basic knowledge of information technology but also study human and social aspects of information through lectures and exercises.

Topics include:
- information related to humanities: representation, cognition, and communication - information's relation to society: roles of information systems, legal aspects, and technologies in society,
- information related to solving problems: data models, algorithms, and computational complexity and how they are interconnected,
- nature of information: what is information, philosophical and mathematical bases to the concept of information, specificity of information in living systems and human cognition.
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時間割/共通科目コード
コース名
教員
学期
時限
51041
CAS-PF1200L3
情報(PEAK)
Witkowski Olaf
A1 A2
金曜3限
マイリストに追加
マイリストから削除
教室
講義使用言語
英語
単位
2
実務経験のある教員による授業科目
YES
他学部履修
不可
開講所属
教養学部(前期課程)
授業計画
This is the plan of the course. Specific details might vary from year to year, and will be communicated during the course. Materials will be shared as the course progresses. 0. Introduction to information: why information science, bird’s-eye view of the course, group projects, introduction to information basics 1. Computer software 101: Software (Rich text editor), scripts (Shell), programming (Python), math (R), plots (Gnuplot), editing (Latex) 2. Representations of information: Relations, sets, graphs, data structures, language, symbols and meaning 3. Algorithms: Finite state automata, Turing machines, algorithms, programming strategies, computational complexity 4. Human-machine interfaces: User interfaces, encodings, keyboards, screens, virtual and augmented reality, robotics 5. What is information: Information, coding theory, Shannon entropy, mutual information, cryptography 6. How to make a robot: Electronics, memory storage, processors, embodiment, unconventional computing, robot society 7. Artificial intelligence: Machine learning, Turing test, human-level AI, evolutionary computation, neural networks 8. Information technology and society: Technology impact on society, intellectual property, privacy and security, scientific method, epidemic models, e-democracy, AI and information ethics 9. Artificial life: Synthetic biology, artificial consciousness, cellular automata, artificial chemistry, physics of intelligence, futurism 10. Wrap-up: synthesis, Q&A, information in one’s life, education, and career
授業の方法
This course consists of interactive lectures, practical assignments, a group project, a final essay and a final oral examination. Due to the current situation, lectures will be held online.
成績評価方法
The evaluation is based on students' active participation in lectures, weekly assignments, a group project presentation, and a final project. The final project will be evaluated via a final essay and an oral examination, towards the end of the course.
履修上の注意
The access to a computer is required for this course. Please please prepare your ECCS account if needed.
実務経験と授業科目の関連性
Olaf Witkowski has academic experience in information science and the technology industry. He is also a member of the board of directors of the International Society for Artificial Life, a scientist at the Earth-Life Science Institute on the origins of life, and founded a research institute called Cross Labs, connected to the fundamental principles of intelligence and their applications for the AI industry.