Advanced Study of Mathematical Sciences I (FY2009)

New Discovery from Time Series (in Japanese)

CONTENTS
　This subject will be lectured by Japanese researchers and professors working in academic fields of complex phenomena, such as natural phenomena (solar wind, magnetic storm, aurora, earthquake, volcano, seismic sea wave, carbon dioxide), economical phenomena (stock market, gross domestic product, monetary supply, rapidity of circulation, marketing), engineering phenomena (sensors), vital phenomena (brain waves, creatinine) etc. They give instruction on research results achieved by the method to detect information in time series data accompanied by complex phenomena.
PLANS
　The purpose of this subject is to provide the cross-departmental lectures aiming the integration of humanities and sciences for graduate students. The Lectures in this subject will be given in omnibus style by top international researchers covering the latest topics.
Please click the following photograph to enlarge:
PROGRAM
Advanced Study of Mathematical Sciences I: "New Discovery from Time Series"
Project based analysis and research cluster course,
Inter Departmental Curriculum, Meiji University

Date: 17th-20th August 2009

Schedule/ Speaker/ Title:

Monday, 17th August 2009
【Information Extraction from Complex Time Series with Method of Experimental Mathematics (実験数学的手法による複雑系時系列からの情報抽出)】
9:00 - 10:30 Masaya MATSUURA (Ehime University)
　"(1) KM2O-ランジュヴァン方程式とは"
10:40 - 12:10 Masaya MATSUURA (Ehime University)
　"(2) 定常性の特徴付けと非線形情報空間"
13:30 - 15:00 Masaya MATSUURA (Ehime University)
　"(3) KM2Oランジュヴァン方程式論に基づく異常性の検出法"
15:10 - 16:40 Yasunori OKABE (Meiji University)
　"(4) ケプラーと KM 2O-ランジュヴァン方程式論"

Tuesday, 18th August 2009
【Information Extraction from Science and Technology, and Economical Time Series with Statistical Method (統計的手法による理工学・経済時系列からの情報抽出)】
9:00 - 10:30 Kazuyuki NAKAMURA (Meiji University)
　"(1) 理工学・経済現象の観察における時系列解析の役割"
10:40 - 12:10 Kazuyuki NAKAMURA (Meiji University)
　"(2) 経済データ・計測器データのトレンド・周期性"
13:30 - 15:00 Kazuyuki NAKAMURA (Meiji University)
　"(3) 株価変動解析と時変分散・時変スペクトル"
15:10 - 16:40 Kazuyuki NAKAMURA (Meiji University)
　"(4) 地盤変形・津波の解析と非線形・非ガウスモデリング"

Wednesday, 19th August 2009
【Information Extraction from Science and Technology, and Economical Time Series with Statistical Method (統計的手法による理工学・経済時系列からの情報抽出)】
9:00 - 10:30 Tomoyuki HIGUCHI (The Institute of Statistical Mathematics)
　"(5) スマート・センシングと時系列解析"
10:40 - 12:10 Tomoyuki HIGUCHI (The Institute of Statistical Mathematics)
　"(6) マイクロマーケティングと時系列モデリング"
【Knowledge Discovery from Data on Solar Terrestrial Science (太陽地球系科学におけるデータからの知識発見)】
13:30 - 15:00 Kiyohumi YUMOTO (Kyushu University)
　"(1) 太陽地球系データの特異性"
15:10 - 16:40 Kiyohumi YUMOTO (Kyushu University)
　"(2) 突発 (相転移 or 不安定) 現象の検出"

Friday, 20th August 2009
【Knowledge Discovery from Data on Seismic and Volcanic Phenomena (地震・火山現象におけるデータからの知識発見)】
9:00 - 10:30 Minoru TAKEO (The University of Tokyo)
"(1) 深部低周波地震波・微動，非線形な火山性微動の時系列解析 I"
10:40 - 12:10 Minoru TAKEO (The University of Tokyo)
"(2) 深部低周波地震波・微動，非線形な火山性微動の時系列解析 II"
【Information Extraction from Complex Time Series with Method of Experimental Mathematics (実験数学的手法による複雑系時系列からの情報抽出)】
13:30 - 15:00 Yasunori OKABE (Meiji University)
　"(5) 分離性の発見とその数学的構造"
PLACE
Seminar Room 19JK, 19th Floor, Liberty Tower, SURUGADAI Campus, Meiji University.
Please click here for the access map.
REMARKS
This subject is intended for Doctoral students, however, any students in master program are available to attend. Non-degree students and auditors from Meiji University and other universities are also welcome. Travel expenses may be subsidized for the students from afar. Please contact at gcoe＠mics.meiji.ac.jp in advance, if necessary.
All lectures will be given in JAPANESE.

Supported by:
Meiji University Global COE Program "Formation and Development of Mathematical Sciences Based on Modeling and Analysis"
Meiji Institute of Advanced Study of Mathematical Sciences (MIMS)

Contact address:
Academic Affairs of Graduate School, Meiji University
1-1 Kanda-Surugadai, Chiyoda-ku, Tokyo 101-8301
TEL: 03-3296-4368
E-mail: dai_in＠mics.meiji.ac.jp

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