Saga
University
Education Program for AI and Data science specialists(EPAD)

Subject Guide2024 Enrollment Students
Master Course

Science and Engineering
Advanced Health Science
Doctor Course

Science and Engineering

Contents

ACADEMIC CALENDER -------------------------------------------------------------------------------- 1
Class hours ------------------------------------------------------------------------------------------------------------- 1
Description of the Master Course andGuidance of course registration ----------------------------- 2
Course Registration and Requirements for the Degree ---------------------------------------------------------------- 2
Special Subjects -------------------------------------------------------------------------------------------------------------- 7
Core Subjects ----------------------------------------------------------------------------------------------------------------- 7
Outline of Core Subjects --------------------------------------------------------------------------------------------- 8Curriculum for the students of Data Science Course ------------------------------------------------------------------- 11
Outline of Major Subjects ------------------------------------------------------------------------------------------- 12Curriculum for the students of Computer Science and Information Technology Course ------------------------ 15
Outline of Major Subjects ------------------------------------------------------------------------------------------- 16Curriculum for the students of Energy and Mechanical Engineering Course ------------------------------------- 18
Outline of Major Subjects ------------------------------------------------------------------------------------------- 19
Curriculum for the students of Mechanical Systems Engineering Course ----------------------------------------- 21
Outline of Major Subjects ------------------------------------------------------------------------------------------- 22
Curriculum for the students of Electrical and Electronic Engineering ---------------------------------------------- 24
Outline of Major Subjects ------------------------------------------------------------------------------------------- 25
Curriculum for the students of Biomedical Engineering Course ----------------------------------------------------- 27
Outline of Major Subjects ------------------------------------------------------------------------------------------- 28

Description of the Doctor Course andGuidance of course registration ------------------------------- 30
Course registration and requirements for the degree
㹙 Outline of Subject 㹛
Course of Mathematical and Information Science ---------------------------------------------------------------------- 37
Course of Mechanical and Electrical Energy Engineering ------------------------------------------------------------ 37
Course of Biological and Material Engineering ------------------------------------------------------------------------- 37
Saga University Campus Map

ACADEMIC CALENDARSPRING SEMESTER
April 1, 2024

Spring Semester begins.

April 2, 2024

Entrance Ceremony (for Spring Enrollment Students)

April 3-8, 2024

Orientation (for Spring Enrollment Students)

April 9, 2024

Classes start.

July 29, 2024

Spring Semester Examination (until August 2)

August 6, 2024

Summer Vacation (until September 30)

September 30, 2024

End of the Spring Semester

AUTUMN SEMESTER
October 1, 2024

Autumn Semester begins.

October 1, 2024

Classes start.

October 4, 2024

Entrance Ceremony (for Autumn Enrollment Students)

December 25, 2024

Winter Vacation (until January 7)

February 5, 2025

Autumn Semester Examination (until February 12)

March 31, 2025

End of the Autumn Semester

Class hours
Period

Ϩ

ϩ

Ϫ

ϫ

Ϭ

Time

8:50㹼10:20

10:30㹼12:00

13:00㹼14:30

14:40㹼16:10

16:20㹼17:50

1

Master Course
Description of the Master Course and Guidance of course registration
Course registration and requirements for the degree(1) Philosophy of foundation
This special educational program has been established to provide talented engineers and researchers who areable to contribute Asian development and to achieve higher technological renovation in the fields of AI and
Data science through masters courses education. They are expected to play globally and actively as well. The
curriculum consists of Data Science Course, Computer Science and Information Technology Course, Energy
and Mechanical Engineering Course, Mechanical Systems Engineering Course, Electrical and Electronic
Engineering Course, Biomedical Engineering Course. Students are involved in one of these courses. This
program provides a comprehensive education for the students to gain extensive knowledge necessary to create
innovation on AI and Data science under the collaboration with Japanese and foreign students. Opportunities
to train and achieve actual communicating experience at overseas are also provided. All lectures are given in
English and thesis should be written in English. Completed students will be active globally in AI and Data
science fields as engineers for the development, management, research and so on.
The Graduate school of Science and Engineering and Graduate School of Advanced Health Sciences of Saga
University will make every effort necessary to achieve the goal.
(2) Research supervisor
The school selects one main advisory professor/associate professor and one vice-advisory professor/associate
professor for each student with reference to student's requests. Researching guidance will be given concerning
subject matter such as graduate research and compilation of graduate thesis.
Students will receive this guidance and start their graduate research from their first year of master course. Also,
the students will receive a course registration guidance by the main advisory professor.
(3) Requirements for the degree.
Requirements for completion of the master course.
z The period of course study should be equal to or more than two years.
z The number of credits earned should be equal to or more than 60 credits.
z To pass of final examinations and faculty evaluation of masters thesis.
z In certain cases, those students who show superior results they may be able to finish the masters course
in one year.
z Those students who meet the above necessary requirements will be conferred any one of Master of
Science and Master of Engineering.
(4) Subjects and credits
 Master course students are required to complete a minimum of 60 credits.

Minimum of credit

Special Subjects

Core Subjects

Major Subjects

TOTAL

6

12

42

60

࣭ Special subjects consist of Collaborating PBL(2 credits), Synthetic Seminar(2 credits) and Intensive
International seminar for Interning Study(2 credits) and all are compulsory.
ձ Collaborating PBL (compulsory): Students deal with problems or projects concerning AI and Data
science fields as task under collaborating with Japanese and foreign students. Appropriate adviser will
guide them considering the issue.
ղ Synthetic Seminar (compulsory): The purpose of this subject is to check the progress of research workand to give some advices for put it forward. His/her course will organize accordingly.
ճ Intensive International Seminar for Interning Study (compulsory): In principle, each student must
participate in an international partnership held in Saga University or in a country other than the student's
nationality. Instead of an international partnership, each student may participate in an intensive seminaror a summer school which is performed in English in a country other than the student's nationality.
մ Corporate Interning Study (elective/optional): It is technological interning study at corporation andresearch institute. Credits of this subject can be included in the number of credits of Major Subjects.
2

Students need to talk with his/her main advisory professor and Registrar Section for the Graduate Schoolin Student Center in advance.
յ Regional Collaborative Career Workshop (elective/optional): The aim of the workshop is to assist
international students to form the cultural and societal basis for their activities in job huntings in Japanand to some extent working for Japanese companies, including their future internships in Japanesecompanies. The workshop is provided in collaboration with companies in Saga prefecture and the Saga
prefectural government. The workshop is held as a year-round subject, starting in the autumn semester.
The credits (two) of the workshop are not counted to satisfy any partial requirement to obtain an
academic degree in EPAD.
ն Regional Collaborative Internship (elective/optional): This internship course aims to assist international
students who seriously want to work in Japan in the future to understand the working environment andworking in Japanese companies or organizations through practical work experience that utilizes generalskills including their characteristics of being international students. This work-based internship isprovided in collaboration with companies in Saga prefecture and the Saga prefectural government. This
internship course is a year-round course in which a one-week internship is held during the summer
break after prior orientation and guidance. To take this course, you should be a student who has taken
or is currently taking the " Regional Collaborative Career Workshop, which requires students to haveproficiency of Japanese for communication with people in companies, for example." The credit (one)of this internship course is not counted to satisfy any partial requirement to obtain an academic degree
in EPAD.
࣭ Student should earn at least 4credits on Core subjects of Data Science Course or Computer Science andInformation Technology Course. In addition, student belongs to Graduate School of Advanced Health
Science should earn at least 4credits on Core subjects of the Department that he/she belongs.
࣭ Credits of Core Subjects exceeding 12 credits can be transferred to the Major subjects.
࣭ More than 42 credits from Major Subjects, including Advanced studies I ~ IV of courses.
࣭ By instruction of your supervisor, 6 or less credits of subjects of the other course or other graduate schools
in Saga University can be regarded as the Major Subjects. In this case, students are required to apply for it
at Registrar Section for the Graduate School in Student Center at starting of the classes.
However, for Core subjects, it is not necessary to follow the procedure.
࣭ Japanese students should earn credit on Advanced English for Academic Study in major subjects.
(5) Registration of classes
Students are required to submit registration notices to Registrar Section for the Graduate School in Student
Center at starting of the new semester. Registration notices are available at Registrar Section for the Graduate
School in Student Center. Students are also required to register the lectures through the internet “Live
Campus”. Students earn credits by attending classes, passing examinations and/or submitting reports.

3⌮ᕤᏛ◊✲⛉ཬࡧඛ㐍೺ᗣ⛉Ꮫ◊✲⛉༤ኈ๓ᮇ࣭ಟኈㄢ⛬ AI࣭ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ㧗ᗘேᮦ⫱ᡂࣉࣟࢢ࣒ࣛ࡟࠾ࡅࡿᒚಟ᪉ἲཬࡧಟ஢せ௳࡟ࡘ࠸࡚
(1) ࣉࣟࢢ࣒ࣛࡢᴫせ࣭┠ⓗ࡟ࡘ࠸࡚ᮏᩍ⫱ࣉࣟࢢ࣒ࣛࡣ㸪࢔ࢪ࢔ㅖᅜࡢⓎᒎ࡜ඛ➃ⓗ⛉Ꮫᢏ⾡㛤Ⓨࡢᅜ㝿ⓗࢿࢵࢺ࣮࣡ࢡᵓ⠏࡟㈉⊩࡛ࡁࡿࢢ࣮ࣟࣂࣝேᮦࡢ⫱ᡂࢆ┠ᣦࡋ࡚㛤タࡋࡓ኱Ꮫ㝔༤ኈ๓ᮇ࣭ಟኈㄢ⛬ࡢࣉࣟࢢ࣒࡛ࣛ࠶ࡿࠋ
࣒࢝ࣜ࢟ࣗࣛࡣࢹ࣮ࢱࢧ࢖࢚ࣥࢫࢥ࣮ࢫ㸪▱⬟᝟ሗᕤᏛࢥ࣮ࢫ㸪ᶵᲔ࢚ࢿࣝࢠ࣮ᕤᏛࢥ࣮ࢫ㸪ᶵᲔࢩࢫࢸ࣒ᕤᏛࢥ࣮ࢫ㸪㟁Ẽ㟁ᏊᕤᏛࢥ࣮ࢫ㸪⏕య་ᕤᏛࢥ࣮ࢫ࡛ᵓᡂࡉࢀ࡚࠸ࡿࠋᏛ⏕ࡣ࠸ࡎࢀ࠿
ࡢࢥ࣮ࢫ࡟ᡤᒓࡍࡿࠋࡇࡢࣉࣟࢢ࣒࡛ࣛࡣ㸪ᣢ⥆ྍ⬟࡛㇏࠿࡞♫఍࡬࡜ࢩࣇࢺࡋ࡚ࡺࡃࡓࡵ࡟ᚲせ࡞ AI ࡸࢹ࣮ࢱࢧ࢖࢚ࣥࢫ࡟㛵ࡍࡿ⛉Ꮫᢏ⾡ࡢ࢖ࣀ࣮࣋ࢩࣙࣥ๰ฟࡢࡓࡵࡢ▱㆑ࢆ᪥ᮏேᏛ⏕࡜እᅜே␃Ꮫ⏕ࡀඹ࡟Ꮫࡧ◊㚼ࡍࡿࠋᅜእ࡛ࡢⱥㄒ࡟ࡼࡿࢥ࣑ࣗࢽࢣ࣮ࢩࣙࣥ⬟ຊࢆ㣴ᡂࡍࡿᶵ఍ࡶタࡅࡽࢀ࡚࠸ࡿࠋㅮ⩏ࡣࡍ࡭࡚ⱥㄒ࡛⾜ࢃࢀ㸪ಟኈㄽᩥࡶⱥㄒ࡛ࡢᇳ➹࡜࡞ࡿࠋಟ஢⪅ࡣ AI ࡸࢹ࣮ࢱࢧ࢖࢚ࣥࢫศ㔝ࡢᅜ㝿ⓗ௻ᴗ࡛㛤Ⓨ㸪⟶⌮㸪◊✲➼࡟ಀࡿ୰᰾ᢏ⾡⪅࡜ࡋ࡚ά㌍ࡍࡿࡇ࡜ࡀᮇᚅ
ࡉࢀࡿࠋ⌮ᕤᏛ◊✲⛉ཬࡧඛ㐍೺ᗣ⛉Ꮫ◊✲⛉ࡣ㸪ࡇࡢࢢ࣮ࣟࣂࣝ࡟ά㌍࡛ࡁࡿேᮦࡢ⫱ᡂࡢࡓࡵ࡟᭱ၿ
ࡢດຊࢆࡍࡿࠋ
(2) ᣦᑟᩍဨ࡟ࡘ࠸࡚
Ꮫ⏕ࡈ࡜࡟୺ᣦᑟᩍဨཬࡧ๪ᣦᑟᩍဨྛ 1 ྡࢆ㑅ฟࡍࡿࠋ◊✲ᣦᑟࡣ㸪ᙜヱࢥ࣮ࢫ࡟࠾ࡅࡿ◊✲ศ㔝࡟㛵ࡍࡿࢸ࣮࣐➼ࢆ㑅ᐃࡋ࡚⾜࠸㸪Ꮫ⏕ࡣ 1 ᖺḟ࠿ࡽ◊✲ᣦᑟࢆཷࡅࡿࠋࡲࡓ㸪ᒚಟᣦᑟࢆ୺
ᣦᑟᩍဨ࠿ࡽཷࡅࡿࠋ
(3) ಟ஢せ௳࡟ࡘ࠸࡚
࣭ᙜヱㄢ⛬࡟ 2 ᖺ௨ୖᅾᏛࡋ࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࠋ࣭60 ༢఩௨ୖࢆಟᚓࡋ࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࠋ࣭ᚲせ࡞◊✲ᣦᑟࢆཷࡅࡓୖ㸪ᙜヱㄢ⛬ࡢ┠ⓗ࡟ᛂࡌ㸪ಟኈㄽᩥཪࡣ≉ᐃࡢㄢ㢟࡟ࡘ࠸࡚ࡢ◊✲ࡢᡂᯝࡢᑂᰝཬࡧ᭱⤊ヨ㦂࡟ྜ᱁ࡋ࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࠋ
࣭ඃࢀࡓᴗ⦼ࢆ࠶ࡆࡓ⪅࡟ࡘ࠸࡚ࡣ㸪ᙜヱㄢ⛬࡟ 1 ᖺ௨ୖᅾᏛࡍࢀࡤ㊊ࡾࡿࡶࡢ࡜ࡍࡿࠋ
࣭Ꮫ఩ࡢ✀㢮ࡣ㸪ಟኈ㸦⌮Ꮫ㸧㸪ಟኈ㸦ᕤᏛ㸧࡜࡞ࡗ࡚࠸ࡿࠋ
(4) ᤵᴗ⛉┠ཬࡧ༢఩࡟ࡘ࠸࡚ ༤ኈ๓ᮇ࣭ಟኈㄢ⛬ࡢᏛ⏕ࡣ㸪ୗグ࡟ࡼࡾ 60 ༢఩௨ୖࢆಟᚓࡋ࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࠋ
ࣉࣟࢢ࣒ࣛ
ඹ㏻⛉┠

ࢥ࢔⛉┠

ᑓ㛛⛉┠

ྜィ

6

12

42

60

ᚲせ༢఩ᩘ

࣭ࣉࣟࢢ࣒ࣛඹ㏻⛉┠ࡣ㸪ඹᏛ PBL㸦2 ༢఩㸧㸪⥲ྜࢭ࣑ࢼ࣮㸦2 ༢఩㸧㸪ᅜ㝿࢖ࣥࢱ࣮ࣥ◊ಟ㸦2༢఩㸧ࢆᚲಟ࡜ࡍࡿࠋ
ձඹᏛ PBL㸦ᚲಟ㸧ࡣ㸪᪥ᮏேᏛ⏕࡜እᅜே␃Ꮫ⏕ࡀᑠࢢ࣮ࣝࣉࢆᙧᡂࡋ࡚ඹྠࡋ࡚ㄢ㢟4

㸦Problem㸧࠶ࡿ࠸ࡣࢸ࣮࣐㸦Project㸧࡟ྲྀࡾ⤌ࡴࠋㄢ㢟࠶ࡿ࠸ࡣࢸ࣮࣐࡟ᛂࡌ࡚㐺ษ࡞࢔ࢻࣂ࢖ࢨ࣮ᩍဨࡀ௜ࡁᣦᑟࡍࡿࠋ
ղ⥲ྜࢭ࣑ࢼ࣮㸦ᚲಟ㸧ࡣ㸪ಟኈ◊✲ࡢ㐍ᤖ≧ἣࢆⓎ⾲ࡍࡿᶵ఍࡛࠶ࡾ㸪ᡤᒓࡍࡿࢥ࣮ࢫࡀィ⏬࣭ᐇ᪋ࡍࡿࠋㄝ᫂࡜౑⏝ࡍࡿ㈨ᩱࡣࡍ࡭࡚ⱥㄒ࡛⾜࠺ࡇ࡜࡜࡞ࡿࠋ
ճᅜ㝿࢖ࣥࢱ࣮ࣥ◊ಟ㸦ᚲಟ㸧ࡣ㸪ᮏᏛࡀᏛ⏕ࡢᅜ⡠௨እࡢᅜ࡛㛤ദࡍࡿᅜ㝿ࣃ࣮ࢺࢼ࣮ࢩࢵ
ࣉ࡬ࡢཧຍࢆཎ๎࡜ࡍࡿࡀ㸪Ꮫ⏕ࡢᅜ⡠௨እࡢᅜ࡛ⱥㄒ࡛⾜ࢃࢀࡿ▷ᮇ㞟୰ࢭ࣑ࢼ࣮㸪ࢧ࣐࣮ࢫࢡ࣮ࣝࡶㄆࡵࡿࠋ
մ௻ᴗ࢖ࣥࢱ࣮ࣥ◊ಟ㸦㑅ᢥ㸧ࡣ㸪ᅜෆࡢ௻ᴗࡶࡋࡃࡣ◊✲ᶵ㛵࡛ࡢᢏ⾡◊ಟ࡛࠶ࡿࠋᮏ⛉┠ࡢ༢఩ࡣ㸪ಟ஢せ௳༢఩ᩘࡢ࠺ࡕࡢᑓ㛛⛉┠ࡢ༢఩ᩘ࡟ྵࡵࡿࡇ࡜ࡀ࡛ࡁࡿࠋᕼᮃ⪅ࡣ஦๓࡟ᣦᑟᩍဨ࡜ᩍົㄢ࡟┦ㄯࡍࡿࡇ࡜ࠋ
յᆅᇦ㐃ᦠ࢟ࣕࣜ࢔◊ಟ㸦㑅ᢥ㸧ࡣ㸪ᑗ᮶ࡢᑵ⫋άື㸪࢖ࣥࢱ࣮ࣥࢩࢵࣉࢆྵࡵࡓ᪥ᮏ࡛ࡢᑵ
ປ࡟㈨ࡍࡿ␃Ꮫ⏕ࡢᩥ໬ⓗ㸪♫఍ⓗᇶ┙ࡢᙧᡂࢆᨭ᥼ࡍࡿࡇ࡜ࢆ┠ⓗ࡜ࡍࡿࠋబ㈡┴ཬࡧ┴ෆࡢ௻ᴗ࡜༠ാࡋ࡚ᐇ᪋ࡉࢀࡿ◊ಟ࡛࠶ࡿࠋ◊ಟࡣ⛅Ꮫᮇ࡟㛤ጞࡋ㸪㏻ᖺ⛉┠࡜ࡋ࡚ᐇ᪋ࡉࢀࡿࠋEPAD ࡢಟ஢せ௳࡟ࡣྵࡲࢀ࡞࠸ࠋ
նᆅᇦ㐃ᦠ࢖ࣥࢱ࣮ࣥࢩࢵࣉ㸦㑅ᢥ㸧ࡣ㸪ᑗ᮶㸪᪥ᮏ࡛ࡢᑵປࢆ┿๢࡟ᮃࡴ␃Ꮫ⏕࡟㸪␃Ꮫ⏕࡛࠶ࡿ≉ᛶࡶά࠿ࡍᐇ㊶ⓗ࡞ỗ⏝ⓗ⬟ຊά⏝ᆺࡢᴗົయ㦂࡟ࡼࡗ࡚᪥ᮏࡢ௻ᴗࡸ⤌⧊࡟࠾ࡅࡿປാ⎔ቃࡸᑵປࡢ⌮ゎࢆᨭ᥼ࡍࡿࡇ࡜ࢆ┠ⓗ࡜ࡍࡿࠋబ㈡┴࠾ࡼࡧ┴ෆࡢ௻ᴗ࡜༠ാࡋ
࡚ᐇ᪋ࡉࢀࡿᴗົ㐙⾜ᆺ࢖ࣥࢱ࣮ࣥࢩࢵࣉ࡛࠶ࡿࠋ஦๓ࡢ࢚࢜ࣜࣥࢸ࣮ࢩࣙࣥ࡞ࡽࡧ࡟࢞࢖
ࢲࣥࢫࢆᐇ᪋ᚋ࡟㸪ኟᮇఇᴗᮇ㛫୰࡟࢖ࣥࢱ࣮ࣥࢩࢵࣉ㸦8 ᫬㛫5 ᪥㛫㸧ࡀᐇ᪋ࡉࢀࡿ㏻
ᖺ⛉┠࡛࠶ࡿࠋᮏᒚಟ࡟࠾࠸࡚ࡣ㸪ࠕᆅᇦ㐃ᦠ࢟ࣕࣜ࢔◊ಟࠖ㸦᪥ᮏㄒ⬟ຊ࡛ࡢࢥ࣑ࣗࢽࢣ࣮
ࢩࣙࣥຊࡀᚲ㡲㸧ࢆᒚಟࡋࡓᏛ⏕ࡶࡋࡃࡣᒚಟ୰ࡢᏛ⏕࡛࠶ࡿࡇ࡜ࡀᚲせ࡛࠶ࡿࠋEPAD ࡢಟ஢せ௳࡟ࡣྵࡲࢀ࡞࠸ࠋ
࣭ࢥ࢔⛉┠࡟ࡘ࠸࡚ࡣ㸪ࢹ࣮ࢱࢧ࢖࢚ࣥࢫࢥ࣮ࢫཪࡣ▱⬟᝟ሗᕤᏛࢥ࣮ࢫ࠿ࡽ 4 ༢఩௨ୖࢆಟᚓ
ࡋ࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࠋຍ࠼࡚㸪ඛ㐍೺ᗣ⛉Ꮫ◊✲⛉ࡢᏛ⏕ࡣ㸪ᡤᒓࡍࡿࢥ࣮ࢫ࠿ࡽ 4 ༢఩௨ୖࢆಟᚓࡋ࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࠋࡲࡓ㸪12 ༢఩ࢆ㉸࠼࡚ಟᚓࡋࡓ༢఩ࡣಟ஢せ௳༢఩ᩘࡢ࠺ࡕࡢᑓ
㛛⛉┠ࡢ༢఩ᩘ࡟ྵࡵࡿࡇ࡜ࡀ࡛ࡁࡿࠋ
࣭ᑓ㛛⛉┠ࡣ㸪ྛࢥ࣮ࢫࡢ≉ู◊✲Ϩ㹼ϫࢆྵࡵ㸪 42 ༢఩௨ୖࢆಟᚓࡋ࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࠋ
࣭୺ᣦᑟᩍဨࡀ◊✲ᣦᑟୖᚲせ࡜ㄆࡵࡓሙྜࡣ㸪௚ࢥ࣮ࢫࡢ⛉┠ཪࡣ௚◊✲⛉ࡢ⛉┠ࢆᒚಟࡍࡿ
ࡇ࡜ࡀ࡛ࡁࡿࠋಟᚓࡋࡓ༢఩ࡣ㸪6 ༢఩ࡲ࡛ಟ஢せ௳༢఩ᩘࡢ࠺ࡕࡢᑓ㛛⛉┠ࡢ༢఩ᩘ࡟ྵࡵ
ࡿࡇ࡜ࡀ࡛ࡁࡿࠋ ௚ࢥ࣮ࢫࡢᤵᴗ⛉┠ཪࡣ௚◊✲⛉ࡢ⛉┠ࢆᒚಟࡍࡿሙྜࡣ㸪⏦ㄳ᭩ࢆྛᏛᮇࡢᒚಟᡭ⥆ᮇ㛫ෆ࡟ᩍົㄢ⌮ᕤᏛ◊✲⛉ᩍົᢸᙜཪࡣඛ㐍೺ᗣ⛉Ꮫ◊✲⛉ᩍົᢸᙜ࡟ᥦฟࡋ࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࠋ
ࡓࡔࡋ㸪ࢥ࢔⛉┠࡟ࡘ࠸࡚ࡣ㸪ࡇࡢᡭ⥆ࡁࡣ୙せ࡜ࡍࡿࠋ࣭᪥ᮏேᏛ⏕ࡣ㸪Ꮫ⾡ⱥㄒ≉ㄽࢆᚲಟ࡜ࡋ㸪ಟ஢せ௳༢఩ᩘࡢ࠺ࡕࡢᑓ㛛⛉┠ࡢ༢఩ᩘ࡟ྵࡵࡿ
ࡶࡢ࡜ࡍࡿࠋ
(5) ᒚಟᡭ⥆ࡁ࡟ࡘ࠸࡚ ᤵᴗ⛉┠ࢆᒚಟࡋ㸪༢఩ࢆྲྀᚓࡍࡿࡓࡵ࡟ࡣ㸪ḟࡢᡭ⥆ࡁࢆ⤒࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࠋ
5 ᒚಟⓏ㘓ࡣ㸪ᒚಟᡭ⥆ᮇ㛫ෆ࡟ WEB ࡟ࡼࡾ⾜࠺ࡇ࡜ࠋᡭ⥆ࡁࡢ᪥⛬➼࡟ࡘ࠸࡚ࡣᥖ♧࡟ࡼࡾ☜ㄆࡍࡿࡇ࡜ࠋ ㅮ⩏࡟ฟᖍࡋ㸪ᐃᮇヨ㦂ࢆཷ㦂ࡋ㸪࠶ࡿ࠸ࡣ㸪࣏࣮ࣞࢺ➼ࢆᥦฟࡋ࡚ྜ᱁Ⅼ࡟㐩ࡍࢀࡤ㸪ᡤᐃࡢ༢఩ࡀ୚࠼ࡽࢀࡿࠋ

6

Special Subjects䠄䢈䢛䢗䡴䢚䢓䢍ඹ㏻⛉┠䠅SemesterCourseSubjects

All Courses

Teachers

Credits

24-䊠 24-䊡 25-䊠 25-䊡 26-䊠մCollaborating PBL(Compulsory)

ඹᏛPBL

մSynthetic Seminar(Compulsory)⥲ྜࢭ࣑ࢼ࣮

2

IntensiveմIntensive International Seminar forInterning Study(Compulsory)ᅜ㝿࢖ࣥࢱ࣮ࣥ◊ಟ

2

Intensive

Corporate Interning Study௻ᴗ䜲䞁䝍䞊䞁◊ಟ2

Regional Collaborative Career
Workshopᆅᇦ㐃ᦠ࢟ࣕࣜ࢔◊ಟ

H. Koga2

Regional Collaborative Internshipᆅᇦ㐃ᦠ࢖ࣥࢱ࣮ࣥࢩࢵࣉ

H. Koga

1

Teachers

Credits

TBD

2

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Core Subjects䠄ᑓ㛛㑅ᢥᚲಟ⛉┠䠅SemesterCourseData Science Course

Subjects(A) Advanced Mathematical Structure for᝟ሗᩘ⌮ᵓ㐀≉ㄽ
Information Science(A) Mathematical Analysis andᩘ⌮ゎᯒ≉ㄽ
Computation

Mechanical Systems
Engineering Course

M. Hirotomo

2䕿

T. Kimura

2

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‫ۑ‬

䕿

䕿

(A) Computational Scienceィ⟬⛉Ꮫ≉ㄽ

Y. Hieida

2

Mathematical Data Scienceࢹ࣮ࢱࢧ࢖࢚ࣥࢫᩘ⌮≉ㄽ

T. Minamoto

2

䕿

䕿

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(B) Advanced Study of Artificial
Intelligenceேᕤ▱⬟≉ㄽ

Y. Okazaki

2

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(B) Learning Algorithms

Ꮫ⩦࢔ࣝࢦࣜࢬ࣒≉ㄽ

N. Yamaguchi2‫ۑ‬᝟ሗྍど໬≉ㄽ

O. Fukuda2‫ۑ‬,7࢖ࣀ࣮࣋ࢩࣙࣥ≉ㄽ

T. Kakeshita

2(B) Advanced Computer Network᝟ሗࢿࢵࢺ࣮࣡ࢡ≉ㄽ

E. Hanada

2(B) Object Oriented Programming࢜ࣈࢪ࢙ࢡࢺᣦྥࣉࣟࢢ࣑ࣛࣥ
S. Tadakiࢢ≉ㄽ

2Advanced Thermal Energy Engineering⇕࢚ࢿࣝࢠ࣮ᕤᏛ≉ㄽ

A. Miyara

2

Advanced Heat Engine Technology࢚ࢿࣝࢠ࣮ᶵ㛵≉ㄽ

Y. Mitsutake

2

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Advanced Fluid Mechanics for Energyὶయ࢚ࢿࣝࢠ࣮ຊᏛ≉ㄽ

Y. Kinoue

2

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䕿

Advanced Roboticsࣟ࣎ࢵࢺᕤᏛ≉ㄽ

K. Sato2

Advanced Surface Engineering⾲㠃ᕤᏛ≉ㄽ

H. Hasegawa

2Advanced Computational Mechanicsィ⟬ຊᏛ≉ㄽ

Y. Tadano

2

Advanced Wireless Communication
Systems࣡࢖ࣖࣞࢫ㏻ಙࢩࢫࢸ࣒≉ㄽ

I. Toyoda2㐺ᛂࢩࢫࢸ࣒≉ㄽ

H. Itoh2䕿䕿ࣁ࣮ࢻ࢙࢘࢔࣭࢖ࣥࢱ࣮ࣇ࢙࣮
H. Fukumoto
ࢫᕤᏛ≉ㄽ

2

䕿

䕿

K. Muramatsu

2

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䕿

2

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Computer Science and (B) Information Visualization
Information Technology
Course(B) IT and Innovation

Energy and MechanicalEngineering Course

24-䊠 24-䊡 25-䊠 25-䊡 26-䊠Electrical and Electronic
Advanced Adaptive Systems Theory
Engineering Course
Advanced Hardware Interface
Engineering
Numerical Analysis in Biomedical
Engineering
Biomedical Engineering
Bioinformatics Programming
Course་ᕤᩘ್ゎᯒ≉ㄽࣂ࢖࢜࢖ࣥࣇ࢛࣐ࢸ࢕ࢡࢫ≉ㄽ H. Douzono

Neuro-Biological Information Processing ⬻⏕య᝟ሗᕤᏛ≉ㄽ㻌㻣

T. Sugi

2

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Outline of Core Subjects
Data Science Course< Advanced Mathematical Structure for Information Science > (᝟ሗᩘ⌮ᵓ㐀≉ㄽ)
Assoc. Prof. M. Hirotomo
This lecture introduces cryptograph and algebra. The main topics are mathematical structure and algebric principle
applied in cryptograph.
< Mathematical Analysis and Computation > (ᩘ⌮ゎᯒ≉ㄽ)
Assoc. Prof. T. Kimura
In this lecture, we will discuss about 1) some methods for numerical Analysis, 2) mathematical backgrounds ofnumerical computation, 3) mathematical and numerical validation of computational error.
< Computational Science > (ィ⟬⛉Ꮫ≉ㄽ)
Assoc. Prof. Y. Hieida
Birth-death processes are used as models of natural and social phenomena. This lecture treats how to simulate abirth-death process from the basics which contain mathematical background. The ability to write Python programs
and prior knowledge of probability (for example, the variance of the binomial distribution) are assumed.
< Mathematical Data Science > (ࢹ࣮ࢱࢧ࢖࢚ࣥࢫᩘ⌮≉ㄽ)Prof. T. Minamoto
This lecture introduces mathematical concepts concerning data and computer science and provides a basis forfurther study in data science. Topics covered are mathematical modeling, statistics, machine learning, etc. The
lecture describes connections between each of these mathematical concepts and modern data science applications.

Computer Science and Information Technology Course< Advanced Study of Artificial Intelligence > (ேᕤ▱⬟≉ㄽ)
Prof. Y. Okazaki
From the perspective of problem solving, which is one of the important themes of artificial intelligence, we takeup important points in artificial intelligence research, give lectures on each theme, and conduct exercises based on
the contents..
< Learning Algorithms > (Ꮫ⩦࢔ࣝࢦࣜࢬ࣒≉ㄽ)
Assoc. Prof. N. Yamaguchi
In this lecture, we will learn several learning algorithms for AI. Especially, we will learn 1) introduction to AI, 2)
clustering, 3) pattern recognition, 4) reinforcement learning, and 5) search.
< Information Visualization > (᝟ሗྍど໬≉ㄽ)Prof. O. Fukuda
This subject explains various information visualization techniques and information visualization tools throughlectures and exercises for accurate and efficient information understanding and information transmission.
< IT and Innovation > (IT ࢖ࣀ࣮࣋ࢩࣙࣥ≉ㄽ)
Assoc. Prof. T. Kakeshita
Information technology is necessary for building a future society such as Society 5.0 and DX (Digital
Transformation). This lecture aims to expand students' perspectives through lectures on methodologies for creating
various services using IT. Students will learn methodologies for creating various services using IT; service
management techniques for continuously providing created services; competitive strategies for protecting thecreated services and establishing superiority over competitors.

8< Advanced Computer Network > (᝟ሗࢿࢵࢺ࣮࣡ࢡ≉ㄽ)Prof. E. Hanada
Today, we live in an "information network society," and information systems are the technological infrastructure.
The intentions of this lecture are as follows;
1) To foster an understanding of the various digital communication technologies used in information systems
2) To foster an attitude of self-motivated pursuit of specialized knowledge that should be known in managing
information networks.
< Object Oriented Programming > (࢜ࣈࢪ࢙ࢡࢺᣦྥࣉࣟࢢ࣑ࣛࣥࢢ≉ㄽ)Prof. S. Tadaki
Object-oriented programming is a programming scheme where data and their operations are combined as objects.
The OOP enables us to make programming have seamless connections to target models. Moreover the OOP
contributes effective programming processes through abstract programming and reusability of components.
This lecture explains the scheme of the OOP with realistic examples.

Energy and Mechanical Engineering Course< Advanced Thermal Energy Engineering > (⇕࢚ࢿࣝࢠ࣮ᕤᏛ≉ㄽ)Prof. A. Miyara
Finite difference method for heat transfer problems
࣭Conduction heat transfer
࣭Convection heat transfer< Advanced Heat Engine Technology > (࢚ࢿࣝࢠ࣮ᶵ㛵≉ㄽ)Prof. Y. Mitsutake
1) Engineering Thermodynamics
2) Heat Conduction Problems< Advanced Fluid Mechanics for Energy > (ὶయ࢚ࢿࣝࢠ࣮ຊᏛ≉ㄽ)Prof. Y. Kinoue
Basic theories of fluid dynamics and fluid mechanics are given in the lecture

Mechanical Systems Engineering Course< Advanced Robotics > (ࣟ࣎ࢵࢺᕤᏛ≉ㄽ)Prof. K. Sato

1) Kinematics of Robot2) Dynamics of Robot
3) Control methods of Robot< Advanced Surface Engineering > (⾲㠃ᕤᏛ≉ㄽ)Prof. H. Hasegawa

1) Material science, processing and design2) Surface science and treatment
3) Machine processing< Advanced Computational Mechanics > (ィ⟬ຊᏛ≉ㄽ)1) Mathematical foundation of computational mechanics
2) Nonlinear solid mechanics
3) Nonlinear finite element method

9Prof. Y. TadanoElectrical and Electronic Engineering Course< Advanced Wireless Communication Systems > (࣡࢖ࣖࣞࢫ㏻ಙࢩࢫࢸ࣒≉ㄽ)Prof. I. Toyoda
The main topics of this subject are as follows:
1) Introduction to wireless communication technologies
2) Fundamental technologies in wireless communications
3) Advanced technologies used in wireless LAN and FWA systems< Advanced Adaptive Systems Theory > (㐺ᛂࢩࢫࢸ࣒≉ㄽ)Prof. H. Itoh
In this class, we will learn several methods for making machines that can automatically learn how to behave inunknown environments. Especially, we will learn (1) reinforcement learning, (2) stochastic modeling, and (3)optimal control in partially observable domains.
< Advanced Hardware Interface Engineering > ࣁ࣮ࢻ࢙࢘࢔࣭࢖ࣥࢱ࣮ࣇ࢙࣮ࢫᕤᏛ≉ㄽ
Assoc. Prof. H. Fukumoto
In this lecture, we will learn the hardware interface for computer applications. Especially, we will learn about
computer architecture, Input/output interface standard, usage method, and usage example.

Biomedical Engineering Course< Numerical Analysis in Biomedical Engineering > (་ᕤᩘ್ゎᯒ≉ㄽ)Prof. K. Muramatsu
Various algorithms and techniques, such as methods of solving differential equations, nonlinear equations, large
scale linear equations, inverse problems, etc., on numerical analysis are lectured.
< Bioinformatics Programming > (ࣂ࢖࢜࢖ࣥࣇ࢛࣐ࢸ࢕ࢡࢫ≉ㄽ)
Assoc. Prof. H. Douzono
In this lecture, the bioinformatics is lectured including the basic life science, informatics, and programming forbioinformatics of sequence-alignment, hidden Markov model and neural networks using C language and Python.
< Neuro-Biological Information Processing > (⬻⏕య᝟ሗᕤᏛ≉ㄽ)Prof. T. Sugi
Information processing and numerical analysis for biomedical and/or neuro-biological signals are discussed. Focus
is to improve the knowledge on neurophysiological sciences and the skill for information processing of biomedical
data.

10

Curriculum for the students of Data Science Course㻌㻔䝕䞊䝍䝃䜲䜶䞁䝇䝁䞊䝇ᤵᴗ⛉┠䠅
Major Subjects
Subjects

Teachers

Semester
Credits 24-䊠 24-䊡 25-䊠 25-䊡 26-䊠(A) Theory of Applied Mathematics Iᛂ⏝ᩘᏛ≉ㄽϨ

K. Handa

2(A) Theory of Applied Mathematics IIᛂ⏝ᩘᏛ≉ㄽϩ

Y. Hibino

2(A) Advanced Mathematical Science Iᩘ⌮⛉Ꮫ≉ㄽϨ

Y. Hibino

2(A) Advanced Mathematical Science IIᩘ⌮⛉Ꮫ≉ㄽϩ

K. Handa

2(A) Advanced Numerical Analysis Iᩘ್ゎᯒ≉ㄽϨ

T. Kinoshita

2(A) Advanced Numerical Analysis IIᩘ್ゎᯒ≉ㄽϩ

T. Kinoshita

2

䕿

䕿

(A) Advanced topics in cryptography Iᬯྕ⌮ㄽ≉ㄽ㹇

A. Iwasaki

2

䕿

䕿

(A) Advanced topics in cryptography IIᬯྕ⌮ㄽ≉ㄽϩ

A. Iwasaki

2(B) Advanced Study of Machine LearningᶵᲔᏛ⩦≉ㄽ

Y. Ishimoto

2(B) Advanced Study of Machine Learning SystemᶵᲔᏛ⩦ࢩࢫࢸ࣒≉ㄽ

K. Nakayama

2(B) PBL on Cyber Physical Systemࢧ࢖ࣂ࣮ࣇ࢕ࢪ࢝ࣝࢩࢫࢸ࣒㛤
O. FukudaⓎ3%/(B) Advanced Lecture on Remote Sensors andRemote Sensingᐇୡ⏺ࢭࣥࢩࣥࢢ≉ㄽ

H. Okumura

2(B) Advanced Lecture on Modeling of RemotelySensed Dataᐇୡ⏺ࣔࢹࣜࣥࢢ≉ㄽ

H. Okumura

2(B) Requirements EngineeringせồᕤᏛ≉ㄽ

T. Kakeshita2䕿(B) Software Designࢯࣇࢺ࢙࢘࢔タィ≉ㄽ

M. Ohtsuki2䕿(B) Information System Security᝟ሗࢩࢫࢸ࣒ࢭ࢟ࣗࣜࢸ࢕≉ㄽ Hori, Hirotomo(B) Software Quality Assuranceࢯࣇࢺ࢙࢘࢔ရ㉁ಖド≉ㄽ

M. Ohtsuki

2

Data Science Internship Aࢹ࣮ࢱࢧ࢖࢚ࣥࢫ࢖ࣥࢱ࣮ࣥ
ࢩࢵࣉ$

T. Minamoto2

intensive

Data Science Internship Bࢹ࣮ࢱࢧ࢖࢚ࣥࢫ࢖ࣥࢱ࣮ࣥ
ࢩࢵࣉ%

T. Minamoto2

intensiveմAdvanced Study on Data Science I(Compulsory)ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ≉ู◊✲ϨMinamoto, Hirotomo,
Kimura, Hibino, Handa,
Okumura, Hanada,
Kakeshita, Yamaguchi,
Matsumae, Nakayama,
Fukuda, Kinoshita,Hori, Otani

5

մAdvanced Study on Data Science II(Compulsory)ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ≉ู◊✲ϩsame as above5մAdvanced Study on Data Science III(Compulsory)ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ≉ู◊✲Ϫsame as above

10մAdvanced Study on Data Science IV(Compulsory)ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ≉ู◊✲ϫsame as above

10

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2

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2

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㸨Master of Science: You need to earn "A" more than 4 credits in total of Core Subject and Major Subject.
㸨Master of Engineering: You need to earn "B" more than 4 credits in total of Core Subject and Major Subject.

Outline of Major subjects
Data Science Course< Theory of Applied Mathematics Ϩ > (ᛂ⏝ᩘᏛ≉ㄽⅠ)
Prof. K. Handa
Certain applications of mathematics will be explained.
< Theory of Applied Mathematics ϩ > (ᛂ⏝ᩘᏛ≉ㄽⅡ)
Assoc. Prof. Y. Hibino
Introduction to probability theory, especially the canonical representation of Gaussian processes.
< Advanced Mathematical Sciences Ϩ > (ᩘ⌮⛉Ꮫ≉ㄽⅠ)
Assoc. Prof. Y. Hibino
Quantum probability and its application to graph theory.
< Advanced Mathematical Sciences ϩ > (ᩘ⌮⛉Ꮫ≉ㄽⅡ)
Prof. K. Handa
Some topics on mathematical sciences will be discussed.
< Advanced Numerical Analysis Ϩ > (ᩘ್ゎᯒ≉ㄽⅠ)
Assoc. Prof. T. Kinoshita
In this lecture, the theory of finite element method, error analysis and its implementation will be explained.
< Advanced Numerical Analysis ϩ > (ᩘ್ゎᯒ≉ㄽⅡ)
Assoc. Prof. T. Kinoshita
In this lecture, the theory of numerical verification method and its applications will be explained.
< Advanced topics in cryptography Ϩ > (ᬯྕ⌮ㄽ≉ㄽⅠ)
Assoc. Prof. A. Iwasaki
Basic concept of cryptography and security proof in the field are explained.
< Advanced topics in cryptography ϩ > (ᬯྕ⌮ㄽ≉ㄽⅡ)
Assoc. Prof. A. Iwasaki
We introduce basic concept of cryptography and particularly focus on Multi-Party Computation.
< Advanced Study of Machine Learning > (ᶵᲔᏛ⩦≉ㄽ)Prof. Y. Ishimoto
This lecture course focuses on fundamental aspects of machine learning and provides its mathematical basis suchas probability and information theory, linear regression and classification problems. One of the goals is tounderstand such basis of neural networks.
< Advanced Study of Machine Learning System > (ᶵᲔᏛ⩦ࢩࢫࢸ࣒≉ㄽ)
Assoc. Prof. K. Nakayama
This class explains the fundamentals and the concepts of machine learning System.
< PBL on Cyber Physical System > (ࢧ࢖ࣂ࣮ࣇ࢕ࢪ࢝ࣝࢩࢫࢸ࣒㛤Ⓨ PBL)
Prof. O. Fukuda
In this Problem-Based Learning (PBL) class, we will discuss how to solve real-world problems based on cyberphysical system. The student groups aim to solve problems with under the supervisor's support.
< Advanced Lecture on Remote Sensors and Remote Sensing > (ᐇୡ⏺ࢭࣥࢩࣥࢢ≉ㄽ)Prof. H. Okumura
This class aims to learn about advanced sensors and sensing systems to obtain analog data from real world tocomputers and to learn how to handle these data effectively through contents of lectures, investigation research anddiscussion.
12

< Advanced Lecture on Modeling of Remotely Sensed Data > (ᐇୡ⏺ࣔࢹࣜࣥࢢ≉ㄽ)Prof. H. Okumura
This class aims to learn how to acquire various information from data and images obtained by remote sensing using
satellite sensors and to conduct analysis exercises using actual images and data.
< Requirements Engineering > (せồᕤᏛ≉ㄽ)
Assoc. Prof. T. Kakeshita
When building useful information systems, software engineers must analyze the needs of various stakeholders
regarding the system and plan those that satisfy them. In addition, techniques to create complete specifications, freeof ambiguities and inconsistencies, minimize the risks associated with information system development. In thiscourse, students will learn various techniques for planning, analyzing requirements, and developing specifications
for information systems.
< Software Design > (ࢯࣇࢺ࢙࢘࢔タィ≉ㄽ)Lect. M. Ohtsuki
In recent years, as social systems have become increasingly IT-oriented, various systems have been developed assoftware. The hardware and middleware that serve as the foundation for such systems have also developed, requiring
in-depth knowledge of these systems in their development. In this course, students will learn the basics of design
among the various knowledge and techniques required for such development in a practical manner using PBL
materials.
< Information System Security > (᝟ሗࢩࢫࢸ࣒ࢭ࢟ࣗࣜࢸ࢕≉ㄽ)Prof. Y. Hori, Assoc. Prof. M. Hirotomo
This lecture introduces basic and common matters required for the construction of secure information systems.
To recognize the importance of information security and information security technology, and to master the basic
technologies and related laws.
< Software Quality Assurance > (ࢯࣇࢺ࢙࢘࢔ရ㉁ಖド≉ㄽ)Lect. M. Ohtsuki
In today's world, where software is used in all aspects of society, including daily life, how to assure software quality
is an important issue. Software quality assurance has been addressed since the days of rocket orbit calculations in
the 1960s. In this lecture, you will learn what software quality assurance is and how to ensure quality. Then, we willlearn about various techniques to assure software quality, especially testing techniques.
< Data Science Internship A > (ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ࢖ࣥࢱ࣮ࣥࢩࢵࣉ A)
Prof. T. Minamoto
In collaboration with local governments and industries that utilize data science, the internship program provides thestudent with the opportunity to work in a day-to-day professional environment under the supervision of anexperienced professional and with the guidance of our course staff. This program also aims to foster positive
interaction between the student and experienced information management professionals in local governments,
institutions, businesses, and other agencies.
< Data Science Internship B > (ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ࢖ࣥࢱ࣮ࣥࢩࢵࣉ B)
Prof. T. Minamoto
In collaboration with local governments and industries that utilize data science, the internship program provides thestudent with the opportunity to work in a day-to-day professional environment under the supervision of anexperienced professional and with the guidance of our course staff. This program also aims to foster positive
interaction between the student and experienced information management professionals in local governments,
institutions, businesses, and other agencies.
< Advanced Study on Data Science Ϩ > (ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ≉ู◊✲Ϩ)Prof. T. Minamoto et al.
This study includes postgraduation research such as experiments, reading on research paper, and so on.

13< Advanced Study on Data Science ϩ > (ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ≉ู◊✲ϩ)Prof. T. Minamoto et al.
This study includes postgraduation research such as experiments, reading on research paper, writing on abstracts
and so on.
< Advanced Study on Data Science Ϫ > (ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ≉ู◊✲Ϫ)Prof. T. Minamoto et al.
This study includes postgraduation research such as interim presentation, experiments, reading on research paper,
writing on abstracts and so on.
< Advanced Study on Data Science ϫ > (ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ≉ู◊✲ϫ)Prof. T. Minamoto et al.
This study includes postgraduation research such as presentation outside the University, experiments, reading on
research paper, writing on abstracts and so on.

14Curriculum for the students of Computer Science and Information Technology Course㻔▱⬟᝟ሗᕤᏛ䝁䞊䝇ᤵᴗ⛉┠䠅
Major Subjects
Subjects

Teachers

Semester
Credits 24-䊠 24-䊡 25-䊠 25-䊡 26-䊠Advanced Study of Machine LearningᶵᲔᏛ⩦≉ㄽ

Y. Ishimoto

2

Advanced Study of Machine Learning
SystemᶵᲔᏛ⩦ࢩࢫࢸ࣒≉ㄽ

K. Nakayama

2

PBL on Cyber Physical Systemࢧ࢖ࣂ࣮ࣇ࢕ࢪ࢝ࣝࢩࢫ
ࢸ࣒㛤Ⓨ3%/

O. Fukuda

2

Advanced Lecture on Remote Sensors
and Remote Sensingᐇୡ⏺ࢭࣥࢩࣥࢢ≉ㄽ

H. Okumura

2

Advanced Lecture on Modeling of
Remotely Sensed Dataᐇୡ⏺ࣔࢹࣜࣥࢢ≉ㄽ

H. Okumura

2

Requirements EngineeringせồᕤᏛ≉ㄽ

T. Kakeshita

2䕿Software Designࢯࣇࢺ࢙࢘࢔タィ≉ㄽ

M. Ohtsuki

2䕿

Software Quality Assuranceࢯࣇࢺ࢙࢘࢔ရ㉁ಖド≉ㄽ M. Ohtsuki

2

Advanced Study of Operating Systems࣮࢜࣌ࣞࢸ࢕ࣥࢢࢩࢫࢸ࣒≉ㄽ

E. Hanada2䕿Advanced Network-based Systemࢿࢵࢺ࣮࣡ࢡᣦྥࢩࢫࢸ
࣒≉ㄽ

M. Otani2䕿Advanced Information Infrastructure
Systems᝟ሗᇶ┙ࢩࢫࢸ࣒Ꮫ≉ㄽ

Y. Hori2䕿Advanced Ubiquitous Information
Environmentࣘࣅ࢟ࢱࢫ᝟ሗ⎔ቃ≉ㄽ

M. Otani2‫ۑ‬Advanced Parallel and Distributed
Algorithms

୪ิศᩓ࢔ࣝࢦࣜࢬ࣒≉ㄽ

S. Matsumae

2

‫ۑ‬

‫ۑ‬

Modeling and Simulationsࣔࢹࣝ໬࡜ࢩ࣑࣮ࣗࣞ
ࢩࣙࣥ≉ㄽ

2

High Performance Computing㧗ᛶ⬟ィ⟬≉ㄽ

2

Information System Security᝟ሗࢩࢫࢸ࣒ࢭ࢟ࣗࣜ
ࢸ࢕≉ㄽ

‫ۑ‬

‫ۑ‬

մAdvanced Study on Computer Science▱⬟᝟ሗᕤᏛ≉ู◊✲Ϩ
and Information Technology I(Compulsory)

մAdvanced Study on Computer Science▱⬟᝟ሗᕤᏛ≉ู◊✲ϩ
and Information Technology II(Compulsory)
մAdvanced Study on Computer Science▱⬟᝟ሗᕤᏛ≉ู◊✲Ϫ
and Information Technology III(Compulsory)
մAdvanced Study on Computer Science▱⬟᝟ሗᕤᏛ≉ู◊✲ϫ
and Information Technology IV(Compulsory)㻌㻝㻡Hori, Hirotomo

2

Fukuda, Hanada, Okumura,
Tadaki,Minamoto,Kakeshita,Matsumae, Okazaki,
Hieida, Nakayama, Otani,
Ohtsuki, Kimura,
Hirotomo, Yamaguchi,
Hori

5same as above

5

same as above

10

same as above

10

䕿
䕿

䕿
䕿

䕿
䕿

䕿
䕿

䕿

䕿

䕿

‫ۑ‬

‫ۑ‬

‫ۑ‬

‫ۑ‬

‫ۑ‬

‫ۑ‬

‫ۑ‬

䕿

‫ۑ‬

‫ۑ‬

Outline of Major Subjects
Computer Science and Information Technology Course< Advanced Study of Machine Learning > (ᶵᲔᏛ⩦≉ㄽ)Prof. Y. Ishimoto
This lecture course focuses on fundamental aspects of machine learning and provides its mathematical basis suchas probability and information theory, linear regression and classification problems. One of the goals is tounderstand such basis of neural networks.
< Advanced Study of Machine Learning System > (ᶵᲔᏛ⩦ࢩࢫࢸ࣒≉ㄽ)
Assoc. Prof. K. Nakayama
This class explains the fundamentals and the concepts of machine learning System.
< PBL on Cyber Physical System > (ࢧ࢖ࣂ࣮ࣇ࢕ࢪ࢝ࣝࢩࢫࢸ࣒㛤Ⓨ PBL)
Prof. O. Fukuda
In this Problem-Based Learning (PBL) class, we will discuss how to solve real-world problems based on cyberphysical system technique. The student groups actively aim to solve problems with under the supervisor's support.
< Advanced Lecture on Remote Sensors and Remote Sensing > (ᐇୡ⏺ࢭࣥࢩࣥࢢ≉ㄽ)Prof. H. Okumura
This class aims to learn about advanced sensors and sensing systems to obtain analog data from real world tocomputers and to learn how to handle these data effectively through contents of lectures, investigation research anddiscussion.
< Advanced Lecture on Modeling of Remotely Sensed Data > (ᐇୡ⏺ࣔࢹࣜࣥࢢ≉ㄽ)Prof. H. Okumura
This class aims to learn how to acquire various information from data and images obtained by remote sensing using
satellite sensors and to conduct analysis exercises using actual images and data.
< Requirements Engineering > (せồᕤᏛ≉ㄽ)
Assoc. Prof. T. Kakeshita
When building useful information systems, software engineers must analyze the needs of various stakeholders
regarding the system and plan those that satisfy them. In addition, techniques to create complete specifications,
free of ambiguities and inconsistencies, minimize the risks associated with information system development. In
this course, students will learn various techniques for planning, analyzing requirements, and developing
specifications for information systems.
< Software Design > (ࢯࣇࢺ࢙࢘࢔タィ≉ㄽ)Lect. M. Ohtsuki
In recent years, as social systems have become increasingly IT-oriented, various systems have been developed assoftware. The hardware and middleware that serve as the foundation for such systems have also developed, requiring
in-depth knowledge of these systems in their development. In this course, students will learn the basics of design
among the various knowledge and techniques required for such development in a practical manner using PBL
materials.
< Software Quality Assurance > (ࢯࣇࢺ࢙࢘࢔ရ㉁ಖド≉ㄽ)Lect. M. Ohtsuki
In today's world, where software is used in all aspects of society, including daily life, how to assure software quality
is an important issue. Software quality assurance has been addressed since the days of rocket orbit calculations in
the 1960s. In this lecture, you will learn what software quality assurance is and how to ensure quality. Then, we willlearn about various techniques to assure software quality, especially testing techniques.

16

< Advanced Study of Operating Systems > (࣮࢜࣌ࣞࢸ࢕ࣥࢢࢩࢫࢸ࣒≉ㄽ)Prof. E. Hanada
Practical study of operating systems as a basic element of information systems; lectures on their structure andoperation and system programming (programming over system calls), using UNIX as an example.
< Advanced Network-based System > (ࢿࢵࢺ࣮࣡ࢡᣦྥࢩࢫࢸ࣒≉ㄽ)
Assoc. Prof. M. Otani
Use of internet-based information systems is advancing rapidly, and technology is advancing along with it. In thiscourse, the current state of information systems and next-generation communication technologies will be introduced,
while discussing future information systems.
< Advanced Information Infrastructure Systems > (᝟ሗᇶ┙ࢩࢫࢸ࣒Ꮫ≉ㄽ)Prof. Y. Hori
Information infrastructure systems are the foundations of the society in which we live. This lecture will focus on
the design and operation of information infrastructure systems based on an understanding of the basic concepts of
information infrastructure systems.
< Advanced Ubiquitous Information Environment > (ࣘࣅ࢟ࢱࢫ᝟ሗ⎔ቃ≉ㄽ)
Assoc. Prof. M. Otani
Ubiquitous computing refers to an environment in which computers are present everywhere in society and daily life
and information can be accessed anytime, anywhere without awareness. In this course, learn about the knowledge
and technologies required to structure a ubiquitous computing environment.
< Advanced Parallel and Distributed Algorithms > (୪ิศᩓ࢔ࣝࢦࣜࢬ࣒≉ㄽ)Prof. S. Matsumae
Fundamental algorithms and their properties are discussed along with learning about the basic models andarchitectures in parallel and distributed processing. Students are encouraged to deepen their understanding bysolving simple exercises.
< Modeling and Simulations > (ࣔࢹࣝ໬࡜ࢩ࣑࣮ࣗࣞࢩࣙࣥ≉ㄽ)Prof. S. Tadaki
Fundamental concepts of modeling and computer simulations are the main theme of this lecture. Fundamental
equations, phenomenological modeling and stochastic modeling are discussed in mainly physical phenomena.
And numerical methods of differential equations and visualization of results, relations between continuous anddiscrete models, fundamentals of stochastic processes are also discussed. Understanding modeling processes
enables us to understand fundamental processes and expect results.
< Information System Security > (᝟ሗࢩࢫࢸ࣒ࢭ࢟ࣗࣜࢸ࢕≉ㄽ)Prof. Y. Hori, Assoc. Prof. Hirotomo
This lecture introduces basic and common matters required for the construction of secure information systems.
To recognize the importance of information security and information security technology, and to master the basic
technologies and related laws.
< Advanced Study on Computer Science and Information Technology Ϩ - ϫ > (▱⬟᝟ሗᕤᏛ≉ู◊✲Ϩ㹼ϫ)Prof. E. Hanada etc.
The purposes of this series of lectures are cultivating fundamental research skills, such as reading academic papers
and developing codes. Skills for conducting research and communication are improved through discussion inseminars with mentors and colleagues.

17

Curriculum for the students of Energy and Mechanical Engineering Course㻔ᶵᲔ䜶䝛䝹䜼䞊ᕤᏛ䝁䞊䝇ᤵᴗ⛉┠䠅
Major Subjects
Subjects

Teachers

Semester
Credits 24-䊠 24-䊡 25-䊠 25-䊡 26-䊠Advanced Fluid EngineeringὶయᕤᏛ≉ㄽ

S. Matsuo

2

䕿

䕿

䕿

Advanced Thermodynamics⇕ຊᏛ≉ㄽ

K. Ishida

2

䕿

䕿

䕿

Advanced Mechanics of MaterialsᮦᩱຊᏛ≉ㄽ

N. Hattori

2

䕿

䕿

䕿

Advanced Dynamics of MachineryᶵᲔຊᏛ≉ㄽ

Advanced Mechanical Engineering PBLᶵᲔࢩࢫࢸ࣒ᕤᏛ3%/

S. Hagihara etc.

2

Advanced Instrument and Control
Engineering

ィ

ไᚚ≉ㄽ

K. Sato

2

䕿

䕿

䕿

Advanced Heat Transport Engineering⇕㍺㏦ᕤᏛ≉ㄽ

K. Kariya

2

䕿

䕿

䕿

Advanced Heat and Mass Transfer⇕≀㉁⛣ືᕤᏛ≉ㄽ

H. Arima

2

䕿

䕿

䕿

Advanced Fluid Energyὶయ࢚ࢿࣝࢠ࣮≉ㄽ

N. Shiomi

2䕿䕿Advanced Fluid System Engineeringὶືࢩࢫࢸ࣒ᕤᏛ≉ㄽ

T. Murakami

2

䕿

䕿

Advanced Ocean EngineeringᾏὒᕤᏛ≉ㄽ

T. Yasunaga

2

䕿

䕿

Advanced Offshore Wind Turbine
Engineeringὒୖ㢼㌴ᕤᏛ≉ㄽ

S. Yoshida

2

䕿

䕿

Advanced Energy Conversion

࢚ࢿࣝࢠ࣮ኚ᥮≉ㄽ

Y. Ikegami

2

䕿

䕿

䕿

Advanced Ocean Measurementᾏὒ⎔ቃ≉ㄽ

Y. Imai

2

䕿

䕿

䕿

䖩Advanced Study in Mechanical andEnergy Engineering I(Compulsory)

Ishida,Ikegami,Kinoue,Matsuo,Mitsutake,Miyara,IᶵᲔ࢚ࢿࣝࢠ࣮ᕤᏛ≉ู◊✲Ϩ
mai,Kariya,Shiomi,Murak
ami,Yoshida

5

䕿

䕿

䕿

ᶵᲔ࢚ࢿࣝࢠ࣮ᕤᏛ≉ู◊✲ϩ same as above5ᶵᲔ࢚ࢿࣝࢠ࣮ᕤᏛ≉ู◊✲Ϫ same as above

10ᶵᲔ࢚ࢿࣝࢠ࣮ᕤᏛ≉ู◊✲ϫ same as above

10䖩Advanced Study in Mechanical andEnergy Engineering II(Compulsory)
䖩Advanced Study in Mechanical andEnergy Engineering III(Compulsory)
䖩Advanced Study in Mechanical andEnergy Engineering IV(Compulsory)

2

㻌㻝㻤

䕿

䕿

䕿

䕿

䕿

䕿

䕿

䕿

䕿

Outline of Major subjects
Energy and Mechanical Engineering Course< Advanced Fluid Engineering > (ὶయᕤᏛ≉ㄽ)Prof. S. Matsuo
1) Fundamental Fluid Dynamics.
2) Shock Wave Phenomena.
3) Effective Utilization of Fluid Energy.
4) Application to Biomedical Fluid Engineering.
< Advanced Thermodynamics > (⇕ຊᏛ≉ㄽ)
Lect. K. Ishida
Lectures on advanced applications of thermodynamics to energy conversion and energy transfer processes.
< Advanced Mechanics of Materials > (ᮦᩱຊᏛ≉ㄽ)Prof. N. Hattori
1) Stresses in the elastic range
2) Fracture mechanics
3) Preventing mechanical failure.
< Advanced Dynamics of Machinery > (ᶵᲔຊᏛ≉ㄽ)1) Dynamics of Rigid Machines
2) Nonlinear Dynamics Analysis3) Linked Structure Dynamics Applications< Advanced Mechanical Engineering PBL > (ᶵᲔࢩࢫࢸ࣒ᕤᏛ PBL)
Prof. S. Hagihara etc.
1) Exercise for understanding of problems of companies
2) Exercise for finding solution of problems of companies< Advanced Instrument and Control Engineering > (ィไᚚ≉ㄽ)Prof. K. Sato

1) Classical Control Theory2) Modern Control Theory
3) Robust Control Theory< Advanced Heat Transport Engineering > (⇕㍺㏦ᕤᏛ≉ㄽ)
Assoc. Prof. K. Kariya
1) The first and second law of thermodynamics
2) Phase equilibrium
3) Analysis of heat engines< Advanced Heat and Mass Transfer > (⇕≀㉁⛣ືᕤᏛ≉ㄽ)
Assoc. Prof. H. Arima
1) Basic of Mass Transfer
2) Analysis of Fundamental Equation for Heat and Mass Transfer
3) Problem on Boundary Layers of Heat and Mass Transfer< Advanced Fluid Energy > (ὶయ࢚ࢿࣝࢠ࣮≉ㄽ)
Assoc. Prof. N. Shiomi1) Turbomachinery
2) Experimental Fluid Dynamics

19

< Advanced Fluid System Engineering > (ὶືࢩࢫࢸ࣒ᕤᏛ≉ㄽ)
Assoc. Prof. T. Murakami
1) Computational fluid dynamics
2) Finite element method for structure analysis3) Fluid Structure Interaction< Advanced Ocean Engineering > (ᾏὒᕤᏛ≉ㄽ)
Assoc. Prof. T. Yasunaga
1) Ocean Energy Systems
2) Engineering of Seawater Desalination< Advanced Offshore Wind Turbine Engineering > (ὒୖ㢼㌴ᕤᏛ≉ㄽ)Prof. S. Yoshida1) Modeling and analysis methods of wind turbines
2) Fundamental design procedures of wind turbines3) Social values of wind turbines< Advanced Energy Conversion > (࢚ࢿࣝࢠ࣮ኚ᥮≉ㄽ)Prof. Y. Ikegami
1) Optimization of Energy System
2) Ocean Thermal Energy Conversion
3) Exergy of Energy System< Advanced Ocean Measurement > (ᾏὒ⎔ቃ≉ㄽ)
Assoc. Prof. Y. Imai
< Advanced Study in Mechanical and Energy Engineering Ϩ > (ᶵᲔ࢚ࢿࣝࢠ࣮ᕤᏛ≉ู◊✲Ϩ)Prof. A. Miyara etc.
࣭Understand the background and significance of research.
࣭Learn knowledge necessary for conducting research and develop research basis.
< Advanced Study in Mechanical and Energy Engineering ϩ > (ᶵᲔ࢚ࢿࣝࢠ࣮ᕤᏛ≉ู◊✲ϩ)Prof. A. Miyara etc.
࣭Conduct experiment and/or theoretical analysis and/or numerical simulation.
࣭Consider obtained results and present to other students and teachers.
< Advanced Study in Mechanical and Energy Engineering Ϫ > (ᶵᲔ࢚ࢿࣝࢠ࣮ᕤᏛ≉ู◊✲Ϫ)Prof. A. Miyara etc.
࣭Review related literature and acquire broad understanding of research.
࣭Understand obtained results deeply by discussion with other students and teachers.
< Advanced Study in Mechanical and Energy Engineering ϫ > (ᶵᲔ࢚ࢿࣝࢠ࣮ᕤᏛ≉ู◊✲ϫ)Prof. A. Miyara etc.
࣭Develop original idea for study and summarize study results.
࣭Write Master thesis and give final presentation.

20

Curriculum for the students of Mec䡄䡄anical Systems Engineering Course㻔ᶵᲔ䝅䝇䝔䝮ᕤᏛ䝁䞊䝇ᤵᴗ⛉┠䠅
Major Subjects
Subjects

Teachers

Semester
Credits 24-䊠 24-䊡 25-䊠 25-䊡 26-䊠Advanced Fluid EngineeringὶయᕤᏛ≉ㄽ

S. Matsuo

2

䕿

䕿

䕿

Advanced Thermodynamics⇕ຊᏛ≉ㄽ

K. Ishida

2

䕿

䕿

䕿

Advanced Mechanics of MaterialsᮦᩱຊᏛ≉ㄽ

N. Hattori

2

䕿

䕿

䕿

Advanced Dynamics of MachineryᶵᲔຊᏛ≉ㄽ

Advanced Mechanical Engineering PBLᶵᲔࢩࢫࢸ࣒ᕤᏛ3%/

S. Hagihara etc

2

Advanced Instrument and Control
Engineeringィ

K. Sato

2

䕿

䕿

䕿

Advanced Materials Science for Engineers ᶵᲔᮦᩱᏛ≉ㄽ

S. Morita

2

䕿

䕿

䕿

Advanced Precision Machine⢭ᐦᶵჾᕤᏛ≉ㄽ

B. Zhang

2

䕿

䕿

䕿

Advanced Lubrication Engineering₶⁥ᕤᏛ≉ㄽ

T. Mawatari

2

Advanced Applied Dynamicsᛂ⏝ຊᏛ≉ㄽ

Advanced Manufacturing Processes⏕⏘ຍᕤᏛ≉ㄽ

F. Ohshima

2

Advanced Solid MechanicsᅛయຊᏛ≉ㄽ

S. Hagihara

2

䕿

䕿

䕿

Advanced Strength of MaterialsᮦᩱᙉᗘᏛ≉ㄽ

S. Taketomi

2

䕿

䕿

䕿

䖩Advanced Study in Mechanical andSystem Engineering I(Compulsory)

Sato,Zhang,Hagihara,Hattori,Ohshima,Taketomi,TaᶵᲔࢩࢫࢸ࣒ᕤᏛ≉ู◊✲Ϩ
dano,Hasegawa,Mawatari,Morita

5

䕿

䕿

䕿

䖩Advanced Study in Mechanical andSystem Engineering II(Compulsory)ᶵᲔࢩࢫࢸ࣒ᕤᏛ≉ู◊✲ϩ same as above5䖩Advanced Study in Mechanical andSystem Engineering III(Compulsory)ᶵᲔࢩࢫࢸ࣒ᕤᏛ≉ู◊✲Ϫ same as above

10䖩Advanced Study in Mechanical andSystem Engineering IV(Compulsory)ᶵᲔࢩࢫࢸ࣒ᕤᏛ≉ู◊✲ϫ same as above

10

2

ไᚚ≉ㄽ

䕿

䕿

䕿

䕿

䕿

䕿

2

㻌㻞㻝

䕿

䕿

䕿

䕿

䕿

䕿

䕿

Outline of Major subjects
Mechanical Systems Engineering Course< Advanced Fluid Engineering > (ὶయᕤᏛ≉ㄽ)Prof. S. Matsuo
1) Fundamental Fluid Dynamics.
2) Shock Wave Phenomena.
3) Effective Utilization of Fluid Energy.
4) Application to Biomedical Fluid Engineering.
< Advanced Thermodynamics > (⇕ຊᏛ≉ㄽ)
Lect. K. Ishida
Lectures on advanced applications of thermodynamics to energy conversion and energy transfer processes.
< Advanced Mechanics of Materials > (ᮦᩱຊᏛ≉ㄽ)Prof. N. Hattori
1) Stresses in the elastic range
2) Fracture mechanics
3) Preventing mechanical failure.
< Advanced Dynamics of Machinery > (ᶵᲔຊᏛ≉ㄽ)1) Dynamics of Rigid Machines
2) Nonlinear Dynamics Analysis3) Linked Structure Dynamics Applications< Advanced Mechanical Engineering PBL > (ᶵᲔࢩࢫࢸ࣒ᕤᏛ PBL)
Prof. S. Hagihara etc.
1) Exercise for understanding of problems of companies
2) Exercise for finding solution of problems of companies< Advanced Instrument and Control Engineering > (ィไᚚ≉ㄽ)Prof. K. Sato

1) Classical Control Theory2) Modern Control Theory
3) Robust Control Theory< Advanced Materials Science for Engineers > (ᶵᲔᮦᩱᏛ≉ㄽ)1) Microstructural feature of materials2) Phase diagrams of ferrous and non-ferrous metallic materials3) Mechanical properties of industrial materials

Assoc. Prof. S. Morita< Advanced Precision Machine > (⢭ᐦᶵჾᕤᏛ≉ㄽ)Prof. B. Zhang

1) Principle of Ultra-Precision Machining
2) Developments in Ultra-Precision Machining
3) Machine Tools for Ultra-Precision Machining< Advanced Lubrication Engineering > (₶⁥ᕤᏛ≉ㄽ)1) Principle of Lubrication
2) Lubrication Regimes3) Mechanisms of Fluid Lubrication

22

Assoc. Prof. T. Mawatari< Advanced Applied Dynamics > (ᛂ⏝ຊᏛ≉ㄽ)The purpose of this subject is dynamical analyses of various phenomena in mechanical systems.
< Advanced Manufacturing Processes > (⏕⏘ຍᕤᏛ≉ㄽ)1) Principle of Machine Tools
2) Theory of Manufacturing Processes
3) Computer Graphics for Manufacturing Processes

Assoc. Prof. F. Ohshima< Advanced Solid Mechanics > (ᅛయຊᏛ≉ㄽ)Prof. S. Hagihara
1) Solid mechanics
2) Finite Element Method
3) Computational Mechanics of Solids< Advanced Strength of Materials > (ᮦᩱᙉᗘᏛ≉ㄽ)1) Strength of materials and kinds of failure2) Some fractographic studies and their mechanisms
3) Initiation and propagation of fatigue cracks4) Case studies and analysis of failure etc.

Assoc. Prof. S. Taketomi< Advanced Study in Mechanical and System Engineering Ϩ > (ᶵᲔࢩࢫࢸ࣒ᕤᏛ≉ู◊✲Ϩ)Prof. N. Hattori etc.
࣭Understand the background and significance of research.
࣭Learn knowledge necessary for conducting research and develop research basis.
< Advanced Study in Mechanical and System Engineering ϩ > (ᶵᲔࢩࢫࢸ࣒ᕤᏛ≉ู◊✲ϩ)Prof. N. Hattori etc.
࣭Conduct experiment and/or theoretical analysis and/or numerical simulation.
࣭Consider obtained results and present to other students and teachers.
< Advanced Study in Mechanical and System Engineering Ϫ > (ᶵᲔࢩࢫࢸ࣒ᕤᏛ≉ู◊✲Ϫ)Prof. N. Hattori etc.
࣭Review related literature and acquire broad understanding of research.
࣭Understand obtained results deeply by discussion with other students and teachers.
< Advanced Study in Mechanical and System Engineering ϫ > (ᶵᲔࢩࢫࢸ࣒ᕤᏛ≉ู◊✲ϫ)Prof. N. Hattori etc.
࣭Develop original idea for study and summarize study results.
࣭Write Master thesis and give final presentation.

23

Curriculum for the students of Electrical and Electronic Engineering Course㻔㟁Ẽ㟁ᏊᕤᏛ䝁䞊䝇ᤵᴗ⛉┠㻕
Major Subjects
Subjects

Teachers

Semester
Credits 24-䊠 24-䊡 25-䊠 25-䊡 26-䊠Advanced Information Electronics onMaterials≀㉁᝟ሗ࢚ࣞࢡࢺࣟࢽࢡࢫ≉ㄽ

Advanced Quantum Opto-electronics

ග㔞Ꮚ࢚ࣞࢡࢺࣟࢽࢡࢫ≉ㄽ

Q. Guo2

Advanced Integrated Circuit Process
Engineering㞟✚ᅇ㊰ࣉࣟࢭࢫᕤᏛ≉ㄽ

T. Tanaka

2

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Electronic System Design and Integration㟁Ꮚ᝟ሗࢩࢫࢸ࣒タィ≉ㄽTechnology

S. Sasaki

2

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Microwave Integrated Circuits

T. Ohishi

2

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Advanced Utilization of Synchrotron Light ࢩࣥࢡࣟࢺࣟࣥග฼⏝⛉Ꮫᢏ⾡ᕤᏛ≉ㄽ

K. Takahashi

2

Advanced Engineering of Computational
Intelligenceィ⟬ㄽⓗ▱⬟ᕤᏛ≉ㄽ

H. Wakuya

2

Graphical User Interfaceࢢࣛࣇ࢕࣭࣮࢝ࣝࣘࢨ࣭࢖ࣥࢱ࣮ࣇ࢙࣮
ࢫ≉ㄽ࣐࢖ࢡࣟἼ㞟✚ᅇ㊰≉ㄽ

2

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2

Advanced Processing Plasma Engineering ࣉࣟࢭࢫࣉࣛࢬ࣐ᕤᏛ≉ㄽ

Y. Ohtsu

2

Advanced Pulsed Power Engineeringࣃࣝࢫࣃ࣮࣡ᕤᏛ≉ㄽ

S. Ihara2䕿䕿Advanced Semiconductor Device
Engineering༙ᑟయࢹࣂ࢖ࢫᕤᏛ≉ㄽ

M. Kasu2䕿䕿

Microwave Circuit Design Engineering㧗࿘Ἴᅇ㊰タィ≉ㄽ

T. Tanaka2䕿䕿Advanced Data Analysis Engineeringࢹ࣮ࢱゎᯒᕤᏛ≉ㄽ

S. Hara2䕿䕿Advanced New & Saved Energy
Engineering᪂࣭┬࢚ࢿࣝࢠ࣮ᕤᏛ≉ㄽ

E. Nishiyama

2

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䕿

Advanced Electrical and Electronic
Engineering㟁Ẽ㟁ᏊᕤᏛ≉ㄽ

2

Education as Electrical and Electronic
Business-person㟁Ẽ㟁Ꮚᐇົ⪅ᩍ⫱≉ㄽ

2

մAdvanced Study in Electrical andElectronic Engineering I(Compulsory)
մAdvanced Study in Electrical andElectronic Engineering II(Compulsory)
մAdvanced Study in Electrical andElectronic Engineering III(Compulsory)
մAdvanced Study in Electrical andElectronic Engineering IV(Compulsory)㟁Ẽ㟁ᏊᕤᏛ≉ู◊✲Ϩ

Toyoda,Kasu,Ohishi,Ohtsu,Tanaka,Guo,Ihara,Hara,Wakuya,Sasaki,Tanaka,Itoh,Fukumoto,Nishiyama,Takahashi,
Saito, Misawa5㟁Ẽ㟁ᏊᕤᏛ≉ู◊✲ϩsame as above5㟁Ẽ㟁ᏊᕤᏛ≉ู◊✲Ϫsame as above10㟁Ẽ㟁ᏊᕤᏛ≉ู◊✲ϫsame as above

10

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Outline of Major subjects
Electrical and Electronic Engineering Course< Advanced Information Electronics on Materials > (≀㉁᝟ሗ࢚ࣞࢡࢺࣟࢽࢡࢫ≉ㄽ)In the electronics field, the knowledge about quantum theory becomes more and more important in order tounderstand the electron behavior from a microscopic standpoint. Namely, the knowledge about quantum theory is
required in order to understand not only the electrical and optical properties of semiconductor but also the principlesof new electronic and optical devices. The fundamental and systematical knowledge about quantum theory isgiven in this subject.
< Advanced Quantum Opto-electronics > (ග㔞Ꮚ࢚ࣞࢡࢺࣟࢽࢡࢫ≉ㄽ)Prof. Q. Guo
The aim of this course is to give fundamental knowledge on various physical processes of optoelectronic transition,in order to understand technologies for applications in light emitting diodes, detectors, and solar energy conversion
devices< Advanced Integrated Circuit Process Engineering > (㞟✚ᅇ㊰ࣉࣟࢭࢫᕤᏛ≉ㄽ)Prof. T. Tanaka
This subject starts with an introduction of physics and properties of semiconductors and fundamentals of pn-junction,
followed by a generic overview of MOSFET and bipolar transistor. Integrated circuit process technologies including
crystal growth, oxidation, thin film growth, thermal diffusion, ion implantation, lithography, and etching will be
introduced.
< Electronic System Design and Integration Technology > (㟁Ꮚ᝟ሗࢩࢫࢸ࣒タィ≉ㄽ)Assoc. Prof. S. Sasaki
The main topics of this subject are as follows:
1) Introduction to Packaging Technology for High-Speed Information equipment
2) Noise of the power supply line
3) Cross-talk Noise
4) Cooling technology5) IC package and packaging technology
6) Interconnection technology for high speed signal
7) Multi chip Module technology< Microwave Integrated Circuits > (࣐࢖ࢡࣟἼ㞟✚ᅇ㊰≉ㄽ)Prof. T. Ohishi
High frequency and high power amplifier used in microwave integrated circuits for radar and radio frequency
communication system is mainly lectured.
The topics of this lecture are as follows:
1. semiconductor devices for microwave integrated circuit
2. microwave integrated circuit components
3. high frequency power amplifier< Advanced Utilization of Synchrotron Light > (ࢩࣥࢡࣟࢺࣟࣥග฼⏝⛉Ꮫᢏ⾡ᕤᏛ≉ㄽ)Prof. K. Takahashi
Basic aspects on synchrotron light application, such as synchrotron light source, beamline, X-ray detection, ultrahigh-vacuum, and experimental methods will be reviewed, in order to understand the scientific and industrial
application of synchrotron light.
< Advanced Engineering of Computational Intelligence > (ィ⟬ㄽⓗ▱⬟ᕤᏛ≉ㄽ)Prof. H. Wakuya
Brain is one of the keywords of the 21st century. As an approach to investigate its mysterious functions, fundamental
knowledge on computational intelligence is discussed. Also, recent topics of neurocomputing technology,
biomedical engineering and welfare engineering are dealt with.
25

< Graphical User Interface > (ࢢࣛࣇ࢕࣭࣮࢝ࣝࣘࢨ࣭࢖ࣥࢱ࣮ࣇ࢙࣮ࢫ≉ㄽ)First we will learn the fundamental programming for GUI using Xt Intrinsics in X Window System to grasp theconcept of the Toolkit programming. After learning Xt Intrinsics, we will use another GUI Toolkits such as Gtk+
and Qt to implement advanced applications with better user interface.
< Advanced Processing Plasma Engineering > (ࣉࣟࢭࢫࣉࣛࢬ࣐ᕤᏛ≉ㄽ)Prof. Y. Ohtsu
Fundamental characteristics are introduced for processing plasma engineering. Ionized gas production methods
such as DC, AC, RF and microwave discharges are lectured. The plasma applications are also explained.
< Advanced Pulsed Power Engineering > (ࣃࣝࢫࣃ࣮࣡ᕤᏛ≉ㄽ)
Assoc. Prof. S. Ihara
1) Fundamentals of energy storage and pulsed power generation.
2) Pulse forming networks, switching devices.
3) Applications of pulsed power technology.
< Advanced Semiconductor Device Engineering > (༙ᑟయࢹࣂ࢖ࢫᕤᏛ≉ㄽ)Prof. M. Kasu
In order to realize energy sustainable society, high-efficient power transistors are necessary. For the purpose,widegap semiconductors such as SiC, GaN, diamond are lectured.
< Microwave Circuit Design Engineering > (㧗࿘Ἴᅇ㊰タィ≉ㄽ)Assoc. Prof. T. Tanaka
In this lecture, first, students learn theory of transmission line and a method to use smith chart. Next, students learn
theory of high frequency active device and circuit by a standard schooling style.
< Advanced Data Analysis Engineering > (ࢹ࣮ࢱゎᯒᕤᏛ≉ㄽ)
Assoc. Prof. S. Hara
The structure and mechanism of photovoltaic systems are explained. Data analysis in photovoltaic power systems
is also discussed.
< Advanced New & Saved Energy Engineering > (᪂࣭┬࢚ࢿࣝࢠ࣮ᕤᏛ≉ㄽ)
Assoc. Prof. E. Nishiyama
1) Fundamentals of wireless energy transfer.
2) Wireless power transfer using Microwave.
3) Wireless power transfer via magnetic resonance coupling.
< Advanced Electrical and Electronic Engineering > (㟁Ẽ㟁ᏊᕤᏛ≉ㄽ)< Advanced as Electrical and Electronic Business-person > (㟁Ẽ㟁Ꮚᐇົ⪅ᩍ⫱≉ㄽ)< Advanced Study in Electrical and Electronic Engineering Ϩ > (㟁Ẽ㟁ᏊᕤᏛ≉ู◊✲Ϩ)Prof. Y. Ohtsu etc.
< Advanced Study in Electrical and Electronic Engineering ϩ > (㟁Ẽ㟁ᏊᕤᏛ≉ู◊✲ϩ)Prof. Y. Ohtsu etc.
< Advanced Study in Electrical and Electronic Engineering Ϫ > (㟁Ẽ㟁ᏊᕤᏛ≉ู◊✲Ϫ)Prof. Y. Ohtsu etc.
< Advanced Study in Electrical and Electronic Engineering ϫ > (㟁Ẽ㟁ᏊᕤᏛ≉ู◊✲ϫ)Prof. Y. Ohtsu etc.

26

Curriculum for the students of Biomedical Engineering Course㻌㻔⏕య་ᕤᏛ䝁䞊䝇ᤵᴗ⛉┠䠅
Major Subjects
Subjects

Teachers

Semester
Credits 24-䊠 24-䊡 25-䊠 25-䊡 26-䊠Biomedical Engineering Special Lecture I⏕య་ᕤᏛ≉ูㅮ⩏Ϩ

CourseɻTeachers

2

Biomedical Engineering Special Lecture 䊡⏕య་ᕤᏛ≉ูㅮ⩏ϩ

CourseɻTeachers2䕿Dynamics in Biomedical Engineering་ᕤຊᏛ≉ㄽ

T. I. Khan

2

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Bioroboticsࣂ࢖࢜ࣟ࣎ࢸ࢕ࢡࢫ≉ㄽ

K. Izumi

2

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Biomedical Sensing System Engineering་ᕤィ

A. Kimoto

2

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䕿

Statistics in Biomedical Engineering་ᕤ⤫ィᏛ≉ㄽ

K. Teramoto

2

䕿

䕿

䕿

Fluid Simulation in Biomedical Engineering་ᕤὶయࢩ࣑࣮ࣗࣞࢩࣙࣥ≉ㄽ

T. Sumi

2

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䕿

Biomedical System Control Engineering་ᕤࢩࢫࢸ࣒ไᚚ≉ㄽ

S. Goto2䕿䕿Signal Analysis in Biomedical Engineering་ᕤಙྕゎᯒ≉ㄽ

Y. Matsuda

2

䕿

䕿

Medical Device Design

་⒪ᶵჾタィᏛ≉ㄽ

T. Hashimoto

2

䕿

䕿

մAdvanced Study in Biomedical Engineering I(Compulsory)≉ู◊✲Ϩ

Course䚷Teachers5մAdvanced Study in Biomedical Engineering II≉ู◊✲ϩ(Compulsory)

Course䚷Teachers5մAdvanced Study in Biomedical Engineering III≉ู◊✲Ϫ(Compulsory)

Course䚷Teachers

10մAdvanced Study in Biomedical Engineering IV≉ู◊✲ϫ(Compulsory)

Course䚷Teachers

10

ᕤᏛ≉ㄽ

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Outline of Major subjects
Biomedical Engineering Course< Biomedical Engineering Special Lecture Ϩ > (⏕య་ᕤᏛ≉ูㅮ⩏Ϩ)
Course Teachers
All faculty members of Biomedical Engineering Course give lectures in their own fields on mechanical, electricaland electronic, and medical engineerings.
< Biomedical Engineering Special Lecture ϩ > (⏕య་ᕤᏛ≉ูㅮ⩏ϩ)
Course Teachers
There is a possibility that special seminar, etc. will be held. The details will be notified if this lecture will be offered.
< Dynamics in Biomedical Engineering > (་ᕤຊᏛ≉ㄽ)
Assoc. Prof. T. I. Khan
The content of the course includes the fundamentals of biomedical engineering dynamics related to the kinematics
of joints and links. Modeling of relative motion in multi-joint system concerning to the biomedical engineering
application includes to the course content as well.
< Biorobotics > (ࣂ࢖࢜ࣟ࣎ࢸ࢕ࢡࢫ≉ㄽ)
Assoc. Prof. K. Izumi
Robot dynamics and various biological methods of control, signal processing, and optimization are lectured.
< Biomedical Sensing System Engineering > (་ᕤィ ᕤᏛ≉ㄽ)
Assoc. Prof. A. Kimoto
Imaging techniques using X-ray and electrical impedance, and biomedical measurement using electrical, ultrasonic,
and optical sensors are lectured.
< Statistics in Biomedical Engineering > (་ᕤ⤫ィᏛ≉ㄽ)Prof. K. Teramoto

This class introduces the theory and practice of time series analysis, with an emphasis on practicalskills. Having completed this course, you will be able to model and forecast a time series as well as
read papers from the literature and start to do original research in time series analysis.
< Fluid Simulation in Biomedical Engineering > (་ᕤὶయࢩ࣑࣮ࣗࣞࢩࣙࣥ≉ㄽ)

Assoc. Prof. T. Sumi
Fundamental theory of computational fluid dynamics and its practical applications to biomedical engineering arelectured.
< Biomedical System Control Engineering > (་ᕤࢩࢫࢸ࣒ไᚚ≉ㄽ)Prof. S. Goto
In this class, system control, which plays an important role of biomedical engineering and welfare devices, isdiscussed.
< Biomedical Sensing System Engineering > (་ᕤಙྕゎᯒ≉ㄽ)
Assoc. Prof. Y. Matsuda
This class lectures on the signal analysis for biomedical engineering. Particularly, Kalman filter and related
mathematical foundation are provided.
< Medical Device Design > (་⒪ᶵჾタィᏛ≉ㄽ)                                  Assoc. Prof. T. Hashimoto
This lecture describes the knowledge of fluid engineering required for designing medical devices related to fluid.

28

< Advanced Study in Biomedical Engineering Ϩ > (≉ู◊✲Ϩ)
Course Teachers
To carry out their researches on biomedical engineering, students learn fundamental knowledge by investigating
related papers, decide their research topics, and make their research plans.
< Advanced Study in Biomedical Engineering ϩ > (≉ู◊✲ϩ)
Course Teachers
To establish their research methods, students carry out their researches by applying fundamental knowledge got in
Advanced Study in Biomedical Engineering I. Moreover, students analyze the obtained research results to makepreparation for their research presentations.
< Advanced Study in Biomedical Engineering Ϫ > (≉ู◊✲Ϫ)
Course Teachers
Students continue their researches by themselves. Moreover, students decide the topic of their master thesis.
< Advanced Study in Biomedical Engineering ϫ > (≉ู◊✲ϫ)
Course Teachers
Students continue to their researches by themselves. Moreover, students complete their master thesis and makemaster thesis defenses.

29Doctor Course
Description of the Doctor Course and Guidance of course registration
Course registration and requirements for the degree(1) Philosophy of foundation
This special educational program for Doctor Course has been established to produce talented
engineers and researchers who are able to contribute to Asian development and to achieve higher
technological innovation in the fields of AI and Data science. They are expected to play globally andactively. The curriculum consists of Mathematical and Information Science Course, Mechanical andElectrical Energy Engineering Course, Biological and Material Engineering Course. Students are
involved in one of these courses in the Department of Science and Engineering, and doing study andresearch related to any groups for major field. This program provides a comprehensive education forthe students to acquire extensive knowledge necessary to create innovative science and technology
for a sustainable and prosperous society. In order to cultivate academic knowledge and international
sense, the following opportunities are provided.
x Intensive International Seminar and lecture.
x Interning study at oversea universities.
x Interning study at corporations and research institutes.
x Support for presentation and discussion at international symposium or conference.
All lectures are given in English and thesis should be written in English. Completed students will be
globally active in AI and Data science fields as engineer for technological innovation, researcher inthink tank, administrative officer, and academic staff for higher education and so on.
(2) Research Supervisor
The school selects one advisory professor and two vice-advisory professors (associate professor) for
each student with reference to student’s requests. In the case that research work needs collaboration
with outside research agencies, outside researcher or professor can join additional member of viceadvisory staff. This advisory system enhances the research activity of students.
Students will receive this guidance and start their graduate research from their first year of doctor
course. Also, the students will receive a course registration guidance by the main advisory professor.
(3) Requirements for the degree
1) Requirements for completion of the doctor's degree
x The period of course study should be normally equal to or more than three years.
x The number of credits earned should be equal to or more than 7 credits.
x Follow proper research advice and guidelines and pass final examinations and facultyevaluation of doctor thesis.
* In certain cases, those students who show superior results in their research may be able to finish
the Doctor Course requirements in one year.
2) Those students who completed the Master course for one year are required to take Doctor
Course at least two years.
Thus, the total period of course studies are at least three years.
3) Those students who admitted to enroll Doctor course without Master Degree and required thatx The period of course study should be equal to or more than three years.
x The number of credits earned should be equal to or more than 7 credits.
x Follow proper research advice and guidelines and pass the final examinations and facultyevaluation of Doctor Thesis.
* In certain cases, those students who show superior results in their research may be able to finish
the Doctor Course requirements in one year.
Only those students who achieved superior results in their research are reduced the period ofcourse study.
Exceptional results in research are as same value as results which normally students take three
years (for that results).
30

(4) Degree
Degree titles are as follows;x Doctor of Philosophy in Sciencex Doctor of Philosophy in Engineering* The degree title, Science or Engineering, depends on the content of the doctoral dissertation.
The degree is conferred twice a year, on March and on September. Students are required to apply forthe faculty evaluation of the thesis to the Dean of Doctor course in the Graduate school.
x Only qualified students can apply Doctoral Degree. Qualifying examination will be conducted
before application.
x Degree conferred on march is required to apply from January 5 to 10
x and degree conferred on September is required to apply from June 21 to 30 both in same year.
The thesis are required as same value as thesis of international scientific journal with referee system
and/or domestic (Japan) journal of scientific society.
(5) Subjects and Credits
Doctor students are required to take 7 credits in total.

Minimum of credit

Special Subjects

Course Major
Subjects

TOTAL

6

1

7

For the purpose of attaining academic ideology, the Doctor course opens not only the lectures for
major subjects but also the special subjects for compulsory. Credits of Special Subjects are 2 andcredits of Course Major Subjects are 1.
Educational Affairs Office inform the date and time of lecture through bulletin board, however
students are required to keep in touch with their supervisors.
1) Special subjects (compulsory)
࣭Special Lecture on AI࣭DS with 2 credits in each.
The lecture is opened under the purpose to develop students not only to become specialist but
also to have interest in extensive field and knowledge, flexibility and synthetic consideration.
Theme will be announced at the beginning of semester when the class is offered.
࣭Synthetic Seminar on AI࣭DS with 2 credits
For the purpose of self-enlightenment and academically synthetic, students are required toreport their research and discuss with professors and other students. One seminar group isorganized approximately five students and some academic staffs.
࣭Intensive International Seminar for Interning Study with 2 credits
In principle, each student must participate in an international partnership held in Saga
University or in a country other than the student's nationality. Instead of an international
partnership, each student may participate in an intensive seminar or a summer school which is
performed in English in a country other than the student's nationality2) Special subjects (elective/optional)
࣭Corporate Interning Study with 2 credits
Students develop and cultivate their research ability and approaching a problem at active site
such as corporation or institute through special experiments relating with AI and Data sciencefields. It is aimed at developing student’s discussion ability, collecting information andanalyzing materials concerning one's research field and also to master the methodology out of
his/her major fields. Report from host-corporation or institute and student will be considered
for recognition. Credits of this subject can be included in the number of credits of Major
Subjects among the number of Requirements for completions credits. Students need to talkwith his/her main advisory professor and Registrar Section for the Graduate School in Student
Center in advance.
࣭Overseas Interning Study with 2 credits.
For the purpose of accelerating or expanding research work, research collaboration and lecture
at overseas universities or institutes through academic exchange agreement are also prepared.
In general, active term is from 3 months to half a year. An achievements and credits will beconsidered for recognition.
࣭Regional Collaborative Career Workshop with 2 credits.
The aim of the workshop is to assist international students to form the cultural and societal
31

basis for their activities in job hunting in Japan and to some extent working for Japanesecompanies, including their future internships in Japanese companies. The workshop isprovided in collaboration with companies in Saga prefecture and the Saga prefectural
government. The workshop is held as a year-round subject, starting in the autumn semester.
The credits (two) of the workshop are not counted to satisfy any partial requirement to obtainan academic degree in EPAD.
࣭Regional Collaborative Internship with 1 credits.
This internship course aims to assist international students who seriously want to work in Japanin the future to understand the working environment and working in Japanese companies ororganizations through practical work experience that utilizes general skills including theircharacteristics of being international students. This work-based internship is provided incollaboration with companies in Saga prefecture and the Saga prefectural government. This
internship course is a year-round course in which a one-week internship is held during thesummer break after prior orientation and guidance. To take this course, you should be a student
who has taken or is currently taking the " Regional Collaborative Career Workshop, which
requires students to have proficiency of Japanese for communication with people in companies,
for example." The credit (one) of this internship course is not counted to satisfy any partial
requirement to obtain an academic degree in EPAD.
3) Course Major Subjects with1 credit
Advanced lectures in the specific field are given by each specific professor.
(6) Registration of classes
Students are required to submit registration notices to Registrar Section for the Graduate Schoolin Student Center at the starting of the new semester. Registration notices are available at Registrar
Section for the Graduate School in Student Center. Students are also required to register thelectures through the internet “Live Campus”. Students earn credits by attending classes, passing
regular examinations and/or submitting reports.
(7) Graduate lectures at other universities
When Saga University admits that some lectures are beneficial, students can attend the lectures atoverseas universities and research institute.
These lectures are carried out based on universities mutual agreement. Rules are settled in anotherpart. Students are strongly recommended to take the lectures at overseas universities. If students
will get credits, these credits will be certified as Overseas Interning Study with 2 credits.

32⌮ᕤᏛ◊✲⛉༤ኈᚋᮇㄢ⛬ $,࣭ࢹ࣮ࢱࢧ࢖࢚ࣥࢫ㧗ᗘேᮦ⫱ᡂࣉࣟࢢ࣒ࣛ࡟࠾ࡅࡿᒚಟ᪉ἲཬࡧಟ஢せ௳࡟ࡘ࠸࡚  ࣉࣟࢢ࣒ࣛࡢᴫせ࣭┠ⓗ࡟ࡘ࠸࡚
ᮏᩍ⫱ࣉࣟࢢ࣒ࣛࡣ㸪࢔ࢪ࢔ㅖᅜࡢⓎᒎ࡜ඛ➃ⓗ⛉Ꮫᢏ⾡㛤Ⓨࡢᅜ㝿ⓗࢿࢵࢺ࣮࣡ࢡᵓ⠏࡟㈉⊩࡛ࡁࡿࢢ࣮ࣟࣂࣝேᮦࡢ⫱ᡂࢆ┠ᣦࡋ࡚㛤タࡋࡓ኱Ꮫ㝔༤ኈᚋᮇㄢ⛬ࡢࣉࣟࢢ࣒࡛ࣛ࠶ࡿࠋ࢝
࣒ࣜ࢟ࣗࣛࡣᩘ⌮࣭᝟ሗࢧ࢖࢚ࣥࢫࢥ࣮ࢫ㸪ᶵᲔ࣭㟁Ẽ࢚ࢿࣝࢠ࣮ᕤᏛࢥ࣮ࢫ㸪ࣂ࢖࣭࣐࢜ࢸࣜ
࢔࢚ࣝࣥࢪࢽ࢔ࣜࣥࢢࢥ࣮ࢫ࡛ᵓᡂࡉࢀ࡚࠸ࡿࠋᏛ⏕ࡣ⌮ᕤᏛᑓᨷෆ࡟タ⨨ࡉࢀࡓࡇࢀࡽࡢ 3 ࡘࡢࢥ࣮ࢫࡢఱࢀ࠿࡟ᡤᒓࡋ㸪ࢥ࣮ࢫ࡟ಀࡿෆᐜࢆ୰ᚰ࡟Ꮫࡧ◊✲ࡍࡿࠋࡇࡢࣉࣟࢢ࣒࡛ࣛࡣ㸪ᣢ⥆ྍ⬟࡛㇏࠿࡞♫఍࡬࡜ࢩࣇࢺࡋ࡚ࡺࡃࡓࡵ࡟ᚲせ࡞ AI ࡸࢹ࣮ࢱࢧ࢖࢚ࣥ࡟㛵ࡍࡿ⛉Ꮫᢏ⾡ࡢ࢖ࣀ࣮࣋ࢩࣙࣥ๰ฟࡢࡓࡵࡢ▱㆑ࢆᏛࡪ࡜࡜ࡶ࡟ᐇ㊶ຊࢆ㌟࡟ࡘࡅࡿࠋᑓ㛛▱㆑ࢆࡉࡽ࡟῝ࡵᅜ㝿ឤぬࢆᾰ㣴ࡍࡿࡓࡵ࡟㸪ḟࡢࡼ࠺࡞ᶵ఍ࢆタࡅ࡚࠸ࡿࠋ
࣭㞟୰ㅮ⩏ᙧᘧ࡛㛤ദࡍࡿᅜ㝿ࢭ࣑ࢼ࣮ࡸᅜ㝿ඹྠㅮ⩏࣭ᅜእࡢ༠ᐃᰯ࡛ࡢ୰㛗ᮇ◊ಟ࣭ᅜෆ௻ᴗࡸ◊✲ᶵ㛵࡛ࡢ◊ಟ࣭ᅜ㝿఍㆟ࡸᅜ㝿ࢩ࣏ࣥࢪ࣒࡛࢘ࡢㅮ₇ࡸウㄽ࡬ཧຍዡບ࡜ᨭ᥼
ㅮ⩏ࡣࡍ࡭࡚ⱥㄒ࡛⾜ࢃࢀ㸪༤ኈㄽᩥࡶⱥㄒ࡛ࡢᇳ➹࡜࡞ࡿࠋಟ஢⪅ࡣ AI ࡸࢹ࣮ࢱࢧ࢖࢚ࣥࢫ
ศ㔝ࡢᅜ㝿ⓗ௻ᴗ࡛࢖ࣀ࣮࣋ࢩࣙࣥᢏ⾡⪅㸪ࢩࣥࢡࢱࣥࢡ◊✲ဨ㸪⾜ᨻᐁ㸪㧗➼ᩍ⫱⪅➼࡜ࡋ࡚ά㌍ࡍࡿࡇ࡜ࡀᮇᚅࡉࢀࡿࠋ  ᣦᑟᩍဨ࡟ࡘ࠸࡚
Ꮫ⏕ࡢᕼᮃࡍࡿ◊✲ㄢ㢟࡟ᛂࡌ࡚㸪Ꮫ⏕ࡢᡤᒓࡍࡿࢥ࣮ࢫࡢ༤ኈᚋᮇㄢ⛬୺ᣦᑟᢸᙜᩍဨࡢ୰࠿ࡽ  ྡࡢ୺ᣦᑟᩍဨࢆ㑅௵ࡋ㸪ࡇࢀ࡟  ྡࡢ๪ᣦᑟᩍဨࢆຍ࠼ࡿࡇ࡜࡟ࡼࡗ࡚ᣦᑟయไࢆ⤌⧊ࡍࡿࠋ๪ᣦᑟᩍဨ࡟ࡘ࠸࡚ࡣ㸪௚ࡢࢥ࣮ࢫࡢᩍဨ㸦ᮏ◊✲⛉༤ኈᚋᮇㄢ⛬ᢸᙜᩍဨ࡟㝈ࡿࠋ㸧ࢆ㑅ࡪࡇ࡜ࡶ࡛ࡁࡿࠋࡲࡓ㸪ඹྠ◊✲ࢆ⾜࠺ᅜෆእࡢ኱Ꮫᩍဨ㸭◊✲ᶵ㛵◊✲ဨࢆ๪ᣦᑟᩍဨ࡜ࡋ࡚
ຍ࠼ࡿࡇ࡜ࡀ࡛ࡁࡿࠋᏛ⏕ࡣ  ᖺḟ࠿ࡽ◊✲ᣦᑟࢆཷࡅࡿࠋࡲࡓ㸪ᒚಟᣦᑟࢆ୺ᣦᑟᩍဨ࠿ࡽཷࡅࡿࠋ  ಟ஢せ௳࡟ࡘ࠸࡚ 㸧༤ኈ๓ᮇ㸦ಟኈ㸧ㄢ⛬࡟  ᖺ㛫௨ୖᅾᏛࡋ࡚๓ᮇㄢ⛬ࢆಟ஢ࡋࡓ⪅࡟ࡘ࠸࡚ࡣ㸪ᶆ‽࡛  ᖺ௨ୖᚋᮇㄢ⛬࡟ᅾᏛࡋ㸪ᚋᮇㄢ⛬ᡤᐃࡢ  ༢఩ࢆᒚಟࡋ㸪ᚲせ࡞◊✲ᣦᑟࢆཷࡅ㸪༤ኈㄽᩥࡢᑂ
ᰝ࡟ྜ᱁ࡋ㸪᭱⤊ヨ㦂࡟ྜ᱁ࡋ࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࠋࡓࡔࡋ㸪ඃ⚽࡞◊✲ᴗ⦼ࢆ࠶ࡆࡓ⪅ࡣ㸪 ᖺ௨ୖᅾᏛࡍࢀࡤࡼ࠸ࠋ
㸧๓ᮇ㸦ಟኈ㸧ㄢ⛬ࢆ  ᖺ࡛ಟ஢ࡋࡓሙྜ࡟ࡣ㸪ඃ⚽࡞◊✲ᴗ⦼ࢆ࠶ࡆࡓ⪅࡛ࡶ㸪ᚋᮇㄢ⛬࡟ࡣ ᖺ௨ୖᅾᏛࡋ࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࠋࡘࡲࡾ㸪๓ᚋᮇ࠶ࢃࡏ࡚᭱▷࡛ࡶ  ᖺ௨ୖࡢᅾᏛᮇ㛫ࡀᚲせ࡜࠸࠺ࡇ࡜࡟࡞ࡿࠋ
㸧኱Ꮫ㝔࡟࠾࠸࡚ಟኈࡢᏛ఩ࢆ᭷ࡍࡿ⪅࡜ྠ➼௨ୖࡢᏛຊࡀ࠶ࡿ࡜ㄆࡵࡽࢀ࡚㸪ᚋᮇㄢ⛬࡟ධᏛࡋࡓ⪅࡟ࡘ࠸࡚ࡣ㸪㸧࡜ྠᵝ㸪ᶆ‽࡛  ᖺ௨ୖᅾᏛࡋ㸪ᚋᮇㄢ⛬ᡤᐃࡢ  ༢఩ࢆᒚಟࡋ㸪ᚲせ33࡞◊✲ᣦᑟࢆཷࡅ㸪Ꮫ఩ㄽᩥᑂᰝ࡜᭱⤊ヨ㦂࡟ྜ᱁ࡋ࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࠋࡓࡔࡋ㸪ඃ⚽࡞◊✲ᴗ⦼ࢆ࠶ࡆࡓ⪅ࡣ㸪 ᖺ௨ୖᅾᏛࡍࢀࡤࡼ࠸ࠋ  Ꮫ఩࡟ࡘ࠸࡚
Ꮫ఩ࡢ✀㢮ࡣ㸪༤ኈ㸦ᕤᏛ㸧㸪༤ኈ㸦⌮Ꮫ㸧࡛࠶ࡿࠋ⌧≧࡛ࡣ㸪༤ኈ㸦ᕤᏛ㸧㸪༤ኈ㸦⌮Ꮫ㸧ࡣ◊✲ࡢෆᐜ࡟ࡼࡿ࡜ࡋ࡚࠸ࡿࠋ
Ꮫ఩ࡢᤵ୚ࡣ㸪ᖺ  ᅇ㸦 ᭶࡜  ᭶㸧⾜࠺ࠋ༤ኈㄽᩥࡢᑂᰝࢆ⏦ㄳࡍࡿ࡟ࡣ㸪ᣦᑟᩍဨ࡜ࡢ༑
ศ࡞ᡴࡕྜࢃࡏࡢᚋ㸪Ꮫ఩⏦ㄳ㈨᱁ㄆᐃ㸦༤ኈㄽᩥࡢෆᐜࡀ⏦ㄳࡍࡿ࡟㊊ࡿ㈨᱁ࢆ᭷ࡍࡿ࠿ྰ࠿
ࡢㄆᐃ㸧ࢆཷࡅ࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࠋ
Ꮫ఩⏦ㄳ㈨᱁ㄆᐃࢆཷࡅࡓ⪅ࡣ㸪ḟࡢᮇ㛫ෆ࡟Ꮫ఩⏦ㄳ᭩ࢆᩍົㄢ࡟ᥦฟࡍࡿࡇ࡜ࠋ‫ ۑ‬᭶࡟Ꮫ఩ࡢᤵ୚ࢆཷࡅࡼ࠺࡜ࡍࡿ⪅ ྠᖺࡢ  ᭶  ᪥࠿ࡽ  ᭶  ᪥ࡲ࡛‫ ۑ‬᭶࡟Ꮫ఩ࡢᤵ୚ࢆཷࡅࡼ࠺࡜ࡍࡿ⪅ ྠᖺࡢ  ᭶  ᪥࠿ࡽ  ᭶  ᪥ࡲ࡛༤ኈㄽᩥࡣ㸪ᑂᰝไᗘࡢ࠶ࡿᅜ㝿ⓗᏛ⾡㞧ㄅⱝࡋࡃࡣᅜෆእࡢᏛ఍ㄅ➼࡟ᥖ㍕ࡉࢀࡿỈ‽࡛࠶ࡿࡇ࡜ࡀせồࡉࢀࡿࠋ  ᤵᴗ⛉┠ཬࡧ༢఩࡟ࡘ࠸࡚
༤ኈᚋᮇㄢ⛬ࡢᏛ⏕ࡣ㸪ୗグ࡟ࡼࡾ  ༢఩௨ୖࢆಟᚓࡋ࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࠋ
ࣉࣟࢢ࣒ࣛඹ㏻⛉┠

ࢥ࣮ࢫᑓ㛛⛉┠

ྜィ

6

1

7

ᚲせ༢఩ᩘ

 ᮏ◊✲⛉ࡢᩍ⫱⌮ᛕࢆᐇ⌧ࡍࡿࡓࡵ࡟㸪ࢥ࣮ࢫᑓ㛛⛉┠ࡢ࡯࠿࡟㸪$,࣭'6 ≉ูㅮ⩏㸪$,࣭'6 ⥲ྜࢭ࣑ࢼ࣮㸪ᅜ㝿࢖ࣥࢱ࣮ࣥ◊ಟ㸪௻ᴗ࢖ࣥࢱ࣮ࣥ◊ಟ㸪㛗ᮇ࢖ࣥࢱ࣮ࣥ◊ಟ㸪ᆅᇦ㐃ᦠ࢟ࣕࣜ࢔◊ಟࡀ㛤ㅮࡉࢀࡿࠋᏛ⏕ࡣࢥ࣮ࢫᑓ㛛⛉┠࠿ࡽ  ༢఩㸪$,࣭'6 ≉ูㅮ⩏㸦 ༢఩㸧㸪$,࣭'6 ⥲ྜࢭ࣑ࢼ࣮㸦 ༢఩㸧࠾ࡼࡧᅜ㝿࢖ࣥࢱ࣮ࣥ◊ಟ㸦 ༢఩㸧ࡢྜィ  ༢఩ࢆᒚಟࡋ࡞ࡅࢀࡤ࡞ࡽ࡞
࠸ࠋ㸧ࣉࣟࢢ࣒ࣛඹ㏻⛉┠㸦ᚲಟ㸧
࣭$,࣭'6 ≉ูㅮ⩏㸦 ༢఩㸧ᚲಟ
 $, ࡸࢹ࣮ࢱࢧ࢖࢚ࣥࢫศ㔝ࡢㅖၥ㢟ࢆ୰ᚰ࡟㸪ᑓ㛛⬟ຊ࡜࡜ࡶ࡟ᖜᗈ࠸㡿ᇦ࡟㛵ࡍࡿ㛵ᚰࡸ▱㆑㸪ᰂ㌾࡞㐺ᛂ⬟ຊ㸪⥲ྜⓗᛮ⪃⬟ຊࢆ⫱࡚ࡿࡓࡵࡢᩍ⫱ࢆ⾜࠺ࠋᑓ㛛ศ㔝࠾ࡼࡧ࿘㎶ࡲࡓࡣ␗ศ㔝ࡢᩍဨࡀ༠ാࡋ࡚ᐇ᪋ࡍࡿࠋ
࣭$,࣭'6 ⥲ྜࢭ࣑ࢼ࣮㸦 ༢఩㸧ᚲಟ ཷㅮ⏕ࡀᮏேࡢ◊✲ศ㔝ࢆ୰ᚰ࡟Ⓨ⾲࣭ウ㆟ࢆ⾜࠸㸪⮬ᕫၨⓎຊ࠾ࡼࡧᏛ㝿ⓗ⥲ྜ⬟ຊࢆ㣴࠺ࠋࢭ࣑ࢼ࣮ࡢ  ࢢ࣮ࣝࣉࡣ  ྡ⛬ᗘࡢᏛ⏕࡜ᑓ㛛ศ㔝࡜࿘㎶ศ㔝ࡢᩍဨᩘྡ⛬ᗘ࡛ᵓᡂࡉࢀ
ࡿࠋ࣭ᅜ㝿࢖ࣥࢱ࣮ࣥ◊ಟ㸦 ༢఩㸧ᚲಟ  ᅜ㝿࢖ࣥࢱ࣮ࣥ◊ಟ㸦ᚲಟ㸧ࡣ㸪ᮏᏛࡀᏛ⏕ࡢᅜ⡠௨እࡢᅜ࡛㛤ദࡍࡿᅜ㝿ࣃ࣮ࢺࢼ࣮ࢩࢵ
ࣉ࡬ࡢཧຍࢆཎ๎࡜ࡍࡿࡀ㸪Ꮫ⏕ࡢᅜ⡠௨እࡢᅜ࡛ⱥㄒ࡛⾜ࢃࢀࡿ▷ᮇ㞟୰ࢭ࣑ࢼ࣮㸪ࢧ࣐࣮ࢫࢡ࣮ࣝࡶㄆࡵࡿࠋ
34 㸧ࣉࣟࢢ࣒ࣛඹ㏻⛉┠㸦㑅ᢥ㸧࣭௻ᴗ࢖ࣥࢱ࣮ࣥ◊ಟ㸦 ༢఩㸧   $, ࡸࢹ࣮ࢱࢧ࢖࢚ࣥࢫศ㔝࡟࠾ࡅࡿ࢖ࣀ࣮࣋ࢩࣙࣥᢏ⾡ࡢᐇ⏝໬ࡢ⌧ሙ࡛࠶ࡿ௻ᴗࡢᢏ⾡ࢭࢡࢩࣙࣥ࠶ࡿ࠸ࡣ◊✲ᶵ㛵࡛㸪୰ᮇ㛫ࡢ࢖ࣥࢱ࣮ࣥ◊ಟࢆ⾜࠺ࡇ࡜࡛◊✲㛤Ⓨࡢྲྀ⤌ࡳࡢᐇ㝿ࢆぢ⪺㸪ᐇ⩦ࡋ◊✲⬟ຊࡢၨⓎ࡜ከᵝ࡞ษࡾཱྀ࡟ࡘ࠸࡚ࡢ◊㚼ࢆ⾜࠺ࠋཷධࢀᶵ㛵࡜ཷㅮ⪅ࡢ◊ಟ࣏࣮ࣞࢺ࡟ࡼࡾ༢఩ࢆㄆᐃࡍࡿࠋᮏ⛉┠ࡢ༢఩ࡣ㸪ಟ஢せ௳༢఩ᩘࡢ࠺ࡕࡢࢥ࣮ࢫᑓ㛛⛉┠ࡢ༢఩ᩘ࡟ྵࡵࡿࡇ࡜ࡀ࡛ࡁࡿࠋᕼᮃ⪅ࡣ஦๓࡟ᣦᑟᩍဨ࡜ᩍົㄢ࡟┦ㄯࡍࡿࡇ࡜ࠋ
࣭㛗ᮇ࢖ࣥࢱ࣮ࣥ◊ಟ㸦 ༢఩㸧   ཷㅮ⏕ࡀ㛵୚ࡍࡿ◊✲ศ㔝࡟࠾࠸࡚㸪◊✲ࡢ㉁ࢆ㧗ࡵࡿࡇ࡜࡜㐍ᤖᒎ㛤ࢆಁࡍࡇ࡜ࢆ┠ⓗ࡜ࡋ࡚㛗ᮇ㸦 ࢣ᭶࠿ࡽ  ࢣ᭶⛬ᗘ㸧࡟Ώࡾᅜእࡢ஺ὶ༠ᐃᰯ࡛ඹྠ◊✲࡟ཧຍࡍࡿࠋᴗ⦼➼࡟ࡘ࠸࡚ࡣ㸪㛗ᮇ࢖ࣥࢱ࣮ࣥ◊ಟ㸦 ༢఩㸧࡜ࡋ࡚ㄆᐃࡍࡿࠋ㛗ᮇ࢖ࣥࢱ࣮ࣥ◊ಟ㸦 ༢఩㸧ࢆಟᚓࡋࡓሙྜࡣ㸪ᅜ㝿࢖ࣥࢱ࣮ࣥ◊ಟ㸦 ༢఩㸧ࡢಟᚓࢆ୙せ࡜ࡍࡿࠋ
ᮇ㛫୰࡟ㅮ⩏༢఩ࢆಟᚓࡋࡓሙྜࡣ㸪ㅮ⩏᫬㛫ᩘ㸪ෆᐜ➼ࢆᑂ㆟ࡢୖ㸪ࢥ࣮ࢫᑓ㛛⛉┠ࢆᒚಟࡋࡓࡶࡢ࡜ࡋ࡚ㄆᐃࡍࡿࠋ
࣭ᆅᇦ㐃ᦠ࢟ࣕࣜ࢔◊ಟ㸦 ༢఩㸧   ᮏ◊ಟࡢ┠ⓗࡣ㸪ᑗ᮶ࡢᑵ⫋άື㸪࢖ࣥࢱ࣮ࣥࢩࢵࣉࢆྵࡵࡓ᪥ᮏ࡛ࡢᑵປ࡟㈨ࡍࡿ␃Ꮫ⏕ࡢᩥ໬ⓗ㸪♫఍ⓗᇶ┙ࡢᙧᡂࢆᨭ᥼ࡍࡿࡇ࡜࡛࠶ࡿࠋబ㈡┴ཬࡧ┴ෆࡢ௻ᴗ࡜༠ാࡋ࡚ᐇ᪋ࡉ
ࢀࡿ◊ಟ࡛࠶ࡿࠋ◊ಟࡣ⛅Ꮫᮇ࡟㛤ጞࡋ㸪㏻ᖺ⛉┠࡜ࡋ࡚ᐇ᪋ࡉࢀࡿࠋ(3$' ࡢಟ஢せ௳࡟ࡣྵࡲࢀ࡞࠸ࠋ ࣭ᆅᇦ㐃ᦠ࢖ࣥࢱ࣮ࣥࢩࢵࣉ㸦 ༢఩㸧   ᑗ᮶㸪᪥ᮏ࡛ࡢᑵປࢆ┿๢࡟ᮃࡴ␃Ꮫ⏕࡟㸪␃Ꮫ⏕࡛࠶ࡿ≉ᛶࡶά࠿ࡍᐇ㊶ⓗ࡞ỗ⏝ⓗ⬟ຊά⏝ᆺࡢᴗົయ㦂࡟ࡼࡗ࡚᪥ᮏࡢ௻ᴗࡸ⤌⧊࡟࠾ࡅࡿປാ⎔ቃࡸᑵປࡢ⌮ゎࢆᨭ᥼ࡍࡿࡇ࡜
ࢆ┠ⓗ࡜ࡍࡿࠋబ㈡┴࠾ࡼࡧ┴ෆࡢ௻ᴗ࡜༠ാࡋ࡚ᐇ᪋ࡉࢀࡿᴗົ㐙⾜ᆺ࢖ࣥࢱ࣮ࣥࢩࢵࣉ࡛
࠶ࡿࠋ஦๓ࡢ࢚࢜ࣜࣥࢸ࣮ࢩࣙࣥ࡞ࡽࡧ࡟࢞࢖ࢲࣥࢫࢆᐇ᪋ᚋ࡟㸪ኟᮇఇᴗᮇ㛫୰࡟࢖ࣥࢱ࣮
ࣥࢩࢵࣉ㸦 ᫬㛫 ᪥㛫㸧ࡀᐇ᪋ࡉࢀࡿ㏻ᖺ⛉┠࡛࠶ࡿࠋᮏᒚಟ࡟࠾࠸࡚ࡣ㸪ࠕᆅᇦ㐃ᦠ࢟ࣕ
ࣜ࢔◊ಟࠖ㸦᪥ᮏㄒ⬟ຊ࡛ࡢࢥ࣑ࣗࢽࢣ࣮ࢩࣙࣥຊࡀᚲ㡲㸧ࢆᒚಟࡋࡓᏛ⏕ࡶࡋࡃࡣᒚಟ୰ࡢᏛ
⏕࡛࠶ࡿࡇ࡜ࡀᚲせ࡛࠶ࡿࠋ(3$' ࡢಟ஢せ௳࡟ࡣྵࡲࢀ࡞࠸ࠋ
㸧ࢥ࣮ࢫᑓ㛛⛉┠㸦 ༢఩㸧㑅ᢥᚲಟ   ྛࢥ࣮ࢫᩍဨࡀ⾜࠺㧗ᗘࡢᑓ㛛ⓗෆᐜࢆᣢࡘ⛉┠࡛࠶ࡿࠋᚲࡎᡤᒓࢥ࣮ࢫࡢࢥ࣮ࢫᑓ㛛⛉┠ ༢఩ࢆಟᚓࡋ࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࠋ  ᒚಟᡭ⥆ࡁ࡟ࡘ࠸࡚ ᤵᴗ⛉┠ࢆᒚಟࡋ㸪༢఩ࢆྲྀᚓࡍࡿࡓࡵ࡟ࡣ㸪ḟࡢᡭ⥆ࡁࢆ⤒࡞ࡅࢀࡤ࡞ࡽ࡞࠸ࠋ
 ᒚಟⓏ㘓ࡣ㸪ᒚಟᡭ⥆ᮇ㛫ෆ࡟ᩍົㄢ⌮ᕤᏛ◊✲⛉ᩍົᢸᙜ❆ཱྀཪࡣ㸪:(% ࡼࡾ⾜࠺ࡇ࡜ࠋ ㅮ⩏࡟ฟᖍࡋ㸪ᐃᮇヨ㦂ࢆཷ㦂ࡋ㸪࠶ࡿ࠸ࡣ㸪࣏࣮ࣞࢺ➼ࢆᥦฟࡋ࡚ྜ᱁Ⅼ࡟㐩ࡍࢀࡤ㸪ᡤᐃࡢ༢఩ࡀ୚࠼ࡽࢀࡿࠋ  ௚ࡢ኱Ꮫ㝔➼࡛◊✲ᣦᑟ㸪ㅮ⩏ࢆཷࡅࡿࡇ࡜࡟ࡘ࠸࡚
35ᩍ⫱ୖ᭷┈࡜ㄆࡵࢀࡤ㸪௚ࡢ኱Ꮫ㝔㸪◊✲ᡤ㸦እᅜࡢ኱Ꮫ㝔㸪◊✲ᡤࢆྵࡴࠋ
㸧࡛㸪≉ᐃࡢㄢ㢟࡟ࡘࡁ㸪◊✲ᣦᑟࢆཷࡅࡓࡾ㸪ㅮ⩏ࢆཷㅮࡋࡓࡾࡍࡿࡇ࡜ࡀ࡛ࡁࡿࠋࡇࢀࡣ㸪኱Ꮫ㝔㛫ࡢ༠㆟࡟
ᇶ࡙࠸࡚ᐇ᪋ࡉࢀࡿࠋᐇ᪋࡟ࡘ࠸࡚ࡢつ๎ࡣู࡟ᐃࡵࡽࢀࡿࠋ

36

Outline of subjects
Course of
Science

MathematicalandInformation<Advanced Mathematical and Information Science> ᩘ⌮࣭᝟ሗࢧ࢖࢚ࣥࢫ≉ㄽ㸧
In this course, the faculty members will lecture advanced expertise and skills in mathematics,
information science, information engineering, and data science in the omnibus style. The purpose ofthis course is to get in touch with the specialized knowledge of the peripheral fields of mathematicaland information science. The goal of this course is to acquire the essential qualifications for yourdoctoral research.

Course of Mechanical and Electrical Energy
Engineering<Advanced Mechanical and Electrical Energy Engineering> ᶵᲔ࣭㟁Ẽ࢚ࢿࣝࢠ࣮ᕤᏛ≉ㄽ㸧
Advanced specialized knowledge and technology in the fields of mechanical engineering, electricaland electronic engineering related to industrial technologies ranging from energy creation to energy
utilization, including energy conversion, transportation, and storage will be lectured in omnibus form.

Course of Biological and Material Engineering<Advanced Biomaterial Systems> ⏕య≀㉁ࢩࢫࢸ࣒Ꮫ≉ㄽ㸧Based on materials science, materials engineering, electrical engineering, and mechanics, advanced
and specialized knowledge and techniques of functional materials, such as bio-, optical, andelectrical/magnetic-related materials and nanomaterials, or the interaction between organisms andsystems will be lectured in omnibus form.

37

38

⌮ᕤᏛ㒊 8 ྕ㤋

㸳ྕ㤋໭Ჷ

⌮ᕤ㸲ྕ㤋

࠿ࡉࡉࡂ
࣮࣍ࣝ

Kasasagi Hall㸳ྕ㤋༡Ჷ

Faculty of Science & Engineering㹎⌮ᕤᏛ㒊㸵ྕ㤋⌮ᕤ6 ྕ㤋DC Ჷ⌮ᕤᏛ㒊 9 ྕ㤋㹎㎰Ꮫ㒊 4 ྕ㤋

Engineering

ᅗ᭩㤋

㝃 ᒓ

ࢫ࣏࣮ࢶ
ࢭࣥࢱ࣮

ಖ೺⟶⌮
ࢭࣥࢱ࣮

ࣉ࣮ࣝ

య⫱㤋

஦ົᒁ

㸲⤒
ྕ῭
㤋Ꮫ
㒊

⤒῭㸱ྕ㤋

⨾⾡㤋Ꮫ⏕ࢭࣥࢱ࣮㸦Student Center㸧㸧⤒῭Ꮫ㒊㸯ྕ㤋

኱ Ꮫ
఍ 㤋

University Hallⱁ⾡ᆅᇦࢹࢨ࢖ࣥᏛ㒊㸯ྕ㤋

Faculty of Art & Regional Design㹎ᩍ⫱Ꮫ㒊㸰ྕ㤋ᩍ㣴ᩍ⫱㸰ྕ㤋ⱁ⾡ᆅᇦࢹࢨ࢖ࣥᏛ㒊㸱ྕ㤋

Faculty of Art & Regional Designⱁ⾡ᆅᇦࢹࢨ࢖ࣥᏛ㒊㸰ྕ㤋⥲ྜ◊✲㸯ྕ㤋㹎ᩍ⫱Ꮫ㒊㸱ྕ㤋

Faculty of Educationᩍ⫱Ꮫ㒊㸯ྕ㤋኱ㅮ⩏ᐊᩍ⫱Ꮫ㒊㸳ྕ㤋ᩍ㣴ᩍ⫱㸯ྕ㤋Center for General Education

Faculty of Economics㹎ṇ 㛛Main Entrance➨㸯Ᏺ⾨ᐊInternational Student Center
Health Care Center

Administration Bureau

University Library

➨㸰Ᏺ⾨ᐊ

㹎

⥲ྜ᝟ሗᇶ┙
ࢭࣥࢱ࣮Computer andNetwork Centerᅜ㐨  ྕ5RXWH

⌮ᕤᏛ㒊㸱ྕ㤋⌮ᕤᏛ㒊㸰ྕ㤋

Faculty of Science &⌮ᕤᏛ㒊 1 ྕ㤋(༡Ჷ)኱Ꮫ㝔Ჷ ⌮ᕤᏛ㒊 1 ྕ㤋(୰Ჷ)

Faculty of Science & Engineering⌮ᕤᏛ㒊 1 ྕ㤋(໭Ჷ)

Faculty of Agriculture㎰Ꮫ㒊1 ྕ㤋(༡Ჷ)

㎰Ꮫ㒊1ྕ㤋(୰Ჷ)

Faculty of Agriculture㎰Ꮫ㒊1 ྕ㤋(໭Ჷ)

Saga U niversity Campus Map⏘Ꮫ஺ὶࣉࣛࢨ

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