Keio University Syllabus and Timetable

ADVANCED IMAGING SCIENCE AND TECHNOLOGY

Lecturer(s)AOKI, YOSHIMITSU
Credit(s)2
Academic Year/Semester2023 Spring
Day/PeriodMon.3
CampusYagami
Class FormatOnline classes (completely on-demand format)
Registration Number08002
Faculty/Graduate School[MASTER'S] SCIENCE AND TECHNOLOGY
Department/MajorINTEGRATED DESIGN ENGINEERING
Year Level1, 2
FieldMASTER'S PROGRAM: ELECTIVE COURSES OFFERED BY GRADUATE SCHOOL OF SCIENCE AND TECHNOLOGY(16)
MASTER'S PROGRAM: MAIN SPECIALIZED COURSES ELECTRONICS AND ELECTRICAL SYSTEMS ELECTIVE(16)
MASTER'S PROGRAM: SUBSIDIARY SPECIALIZED COURSES ELECTRONICS AND ELECTRICAL SYSTEMS(16)
RemarksCourses open to 4th year undergraduate students
Course DescriptionThis lecture aims at acquiring basic knowledge of image information engineering. The course also covers the historical development of image processing technology and the latest deep learning-based image processing research. The course does not limit itself to general image processing theories but actively discusses real-world applications and research cases.
K-Number GST-ID-67303-241-21
Course AdministratorFaculty/Graduate SchoolGSTSCIENCE AND TECHNOLOGY
Department/MajorIDINTEGRATED DESIGN ENGINEERING
Main Course NumberLevel6Master's level coursework
Major Classification7Master's Program Prescribed
Minor Classification30Electronics and Electrical Engineering
Subject Type3Elective subject
Supplemental Course InformationClass Classification2Lecture
Class Format4Online classes (completely on-demand format)
Language of Instruction1Japanese
Academic Discipline21Electrical and electronic engineering and related fields

Course Contents/Objectives/Teaching Method/Intended Learning Outcome

An introduction to the concepts and applications in image engineering, computer vision, and pattern recognition. Topics include basic techniques in these fields, and practical applications such as human sensing, ITS, and medical systems.

Course Plan

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Method of Evaluation

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Textbooks

Lecture materials(PDF files) are available on CanvasLMS.

Reference Books

None

Lecturer's Comments to Students

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