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CISECollege of Information Science and Engineering MENU Japanese English Message from the Dean Features Our advantages Students desired Overseas IT Training and Internships Global IT Human Resources Certification System DUT-RU International School of Information Science and Engineering Course introduction Information Systems Science and Engineering Course (ISSE) System Architect Course Security and Networks Course Social System Design Course Physical Computing Course Media Technology Course Artificial and Natural Intelligence Course Opportunities What students can learn Curriculum Aims of Human Resource Development Qualifications and Careers Faculty Members Admissions and Tuition Access and Campus Map Inquiries For Current Students [Japanese-medium]Artificial and Natural Intelligence Course Learning from brain functions to realize intelligent systems as artificial intelligence Learning the organic relation between natural intelligence and artificial intelligence Students will systematically learn comprehensive knowledge and skills for data analysis, mathematical modeling and simulation, based on the data obtained by measurement of natural and social phenomena. Achievements enable students to understand the target systems through obtaining real data and extracting information, and to realize intelligent systems by information technology. What students can learn01 Students can understand the brain functions through measurement Students will learn physiological and anatomical knowledge of the brain, as the basis for human intelligence information systems, and understand the brain functions through measurement by conducting sensory and perception experiments. In addition, students will learn theoretical frameworks for comprehending the mechanisms of brain functions from an information processing perspective and enhance their understanding of engineering applications. Physiological Engineering Students will learn physiological and anatomical knowledge of the sensory system and acquire the measurement analysis methods. Color Science Students will learn methods and principles for handling color, which is a psychophysical quantity, from a quantitative and engineering perspective. Psychophysics Students will learn the basics of psychophysics, which is a system for studying perception and sense. Brain Function in Data Processing Students will learn about the structure and function of the brain, which is a representative example of an intelligent information processing system. What students can learn02 Students can realize intelligent systems by information technology In order to make computers learn as the human naturally does by interacting with the environment, we need to understand learning algorithms. Students will acquire basic knowledge of underlying technologies for machine learning and pattern recognition, and deepen their understanding through target problems and case studies. Machine Learning Students will learn the basic techniques indispensable for statistical machine learning and statistical pattern recognition. Kansei Engineering Students will learn basic and applicable skills for handling human sensitivity (kansei) in engineering, such as methods for evaluating sensitivity and building design models. What students can learn03 Students can model and simulate the real world Students will learn methods to model the basic underlying principles in various natural and social phenomena in the real world, and learn mathematical and algorithmic frameworks for the optimization. Students will study how to formalize and model the target problems for computer simulation, solve the problem by and on computers, and deepen their understanding through programming exercises. Simulation Engineering Students will learn about computer simulation, which is a problem-solving method using computers. Mathematical Optimization Students will learn how to model real-world targets and use computers to perform optimization. Faculty members of this course KITANO Katsunori SHINODA Hiroyuki Ruck THAWONMAS NISHIKAWA Ikuko TSUBO Yasuhiro TOHSATO Yukako KASHIHARA Koji TANIGUCHI Akira SONODA Kohei NEXTWhat students can learn LET'S SHARE --> Menu Top Page Message from the Dean Features Our advantages Students desired Overseas IT Training and Internships Global IT Human Resources Certification System DUT-RU International School of Information Science and Engineering Course introduction Information Systems Science and Engineering Course (ISSE) System Architect Course Security and Networks Course Social System Design Course Physical Computing Course Media Technology Course Artificial and Natural Intelligence Course Opportunities What students can learn Curriculum Aims of Human Resource Development Qualifications and Careers Faculty Members Admissions and Tuition Access and Campus Map Inquiries External review College of Information Science and Engineering Site Policy Privacy Policy © Ritsumeikan Univ. All rights reserved. -->