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Information Science
KS Information Science Specialist Book / ★ The definitive textbook that anyone can learn without difficulty! ★ - The lecture that became the "first step" of data science education, which is a compulsory subject for all students, has finally become a book. ・ "Trust" and "Achievements" were adopted in "Mathematics, Data Science, AI Education Program Accreditation Program (Literacy Level Plus)" by the Ministry of Education, Culture, Sports, Science and Technology. [Main contents] Part 1 Data Science in Society 1 Positioning and Examples of Data Science in Society 11 Introduction to Data Science 12 Examples of Data Science in Language Education 13 Data Science and Social Science 14 Human-Computer Interaction 15 Clinical and Social Medicine and Data Science 15 From the perspective of Health Services Research 16 Data Science in Biological Science Research 17 Examples of Developmental Biology Research 17 Data Utilization for Improving Soccer 18 Data Science and Web19 Materials Informatics 110 Robotics and AI111 Urban Planning and Data Science 112 Business and Data Science Part 2 Data Science Introduction 2 Chapter 2 Data Science 2 Types and Collection 3 Pre-Processing Data 4 Managing data 5 Advanced data utilization and Big Data 6 Chapter 1 Qualitative Analysis 7 Analyzing two or more qualitative data 8 Analyzing two or more quantitative data 10 Analyzing time series 11 Chapter 2 Data Visualization 12 Actual Data Analysis 13 Artificial intelligence and Machine Learning 14 Data ethics and AI ethics [List of authors] Shingo 名畑目 / Hisahiro Naito / Yoichi Ochiai / Tagu 菜奈子 / Takeo Horie / Masao Nakayama / Oka 瑞起 / Yushin Iwasaki / Keitaro Sodeyama / Sho Sakaino / Sayaka Fujii / Yukihiko Okada / Hotaka Takizawa / Yuki Endo / Sachito Hirata Mitani Igarashi Fukuchi Tsugawa Akatsuki Aoto