Course title
協働分野セミナーⅠ   [Interdisciplinary Seminar Ⅰ]
Course category	courses for doctoral programs	Requirement		Credit	1
Department		Year	～	Semester	1st
Course type	1st	Course code	1811002
Instructor(s)
香取 浩子, 伊藤 輝将   [KATORI Hiroko, ITO Terumasa]
Facility affiliation	Faculty of Engineering	Office		Email address

Course description

The course is aimed at enhancing core competency in the doctoral dissertation research field and at enabling students to explain the purpose and significance of their research in relation to current research trend. Students attend tutorial under a triplet research supervision scheme: one academic principal supervisor and two co-supervisors. In addition, the course trains students in each aspect of research, namely, comprehension, analysis, and implementation, which require a higher level of competency, through discussions with supervisors. The course helps students acquire consensus-building skills and the capacity to adapt to diverse value systems and environments, while leveraging new ideas, knowledge, and information obtained through meaningful academic exchanges with researchers not only in their specialized fields but also from other disciplines, into the design of their doctoral dissertation research. Interdisciplinary Seminars consist of the three parts noted below: 1. Tutorial under Triplet Research Supervision Scheme Students take seminars tutorially by academic principal supervisor. While holding regular seminars with an academic principal supervisor, students attend seminars provided by co-supervisor or laboratory work. Students are expected to actively engage in discussions with the co-supervisors and research laboratory members and in communicating their own experience, analytical approach, and ideas. 2. Workshop Discussions with the principal supervisor and the two co-supervisors will be held to help students clarify the academic contributions of their research, narrow down their research themes, and improve their doctoral dissertation research plans in consideration of opinions of faculty members in other disciplines. 3. Academic Literacy provided by the three universities (TUFS, UEC and TUAT) The lecture trains students that enable to acquire the basic skills on scientific writing, presentation and literacy on modern technology at the university level. At the end of the course, students will prepare to write a report regarding their research concept for the collaborative humanities and sciences colloquium as part of the "Advanced Practicum in Sustainability Research I" Course. Remote videoconference systems or other media may be used as necessary. ---------- - Academic Literacy Seminar provided by TUFS (online) Subject: English Discussion Training Class Instructor: SUZUKI, Steven Taro Summary and goals of the course: The course is designed to improve presentation skills in academic and professional contexts. In order to achieve this goal, higher-level intellectual skills will be developed and improved through engaging in, and performing various tasks and discussions. A natural by- product will be students improving their analytical, rhetorical, and critical thinking skills. These skills are abstract and difficult to measure; however, they are important in terms of being able to collaborate and cooperate effectively with colleagues, superiors, subordinates, and clients in future professions. Overview of the course: Students will focus on learning important skills for presenting at professional conferences, and also how to adroitly handle Q&A sessions. A short presentation will be conducted by each student in every class. The presentations will start on a basic level, and will increase in analytical and rhetorical difficulty as the course progresses. The course will conclude with a basic full length presentation with a Q&A session performed by each student. ---- - Academic Literacy Seminar provided by TUAT (online: Google Classroom: Class code lc4uo7j) Subject: Basic Statistics Instructor: CHITOSE, Atsushi Summary and goals of the course: The objectives of this course are i) to acquire basic skills of statistical analysis and correct knowledge in dealing with statistics; and ii) to know how to perform basic statistical tests and interpret their results using the Excel worksheets. Overview of the course: This course will be provided online on Thursday evening in May and June. In each class, students will be given the instruction regarding a special topic by the instructor, followed by the practice for statistical analysis using “Function” and/or “Analysis ToolPak” of Excel. Note: Please prepare your own PC, in which Microsoft Excel has been installed. ---- - Academic Literacy Seminar provided by UEC (online or hybrid) 1. Subject: AI (Artificial Intelligence) Venue: Hybrid Instructor: HASHIYAMA, Tomonori Overview of the course: Introduction and some practice in Machine Learning and Artificial Intelligence Note: Bring your own PC when switching to face-to-face classes 2. Subject: GIS (Geographic Information Systems) Instructor: YAMAMOTO, Kayoko (UEC) Overview of the course: Learn the basic techniques of GIS referring textbook edited by the GIS Association of Japan. (http://www.kokon.co.jp/book/b313385.html) Note: Bring your own PC when switching to face-to-face classes Contact：

Expected Learning

Upon completion of this course, the students will be able to: - enhance core competency in their doctoral dissertation research field. - explain the purpose and significance of their research in relation to current research trends. - refine their doctoral research by accelerating each aspect of research, namely, comprehension, analysis and implementation, through discussions with the assistant supervisors. - acquire consensus-building skills and the capacity to adapt to diverse value systems and environments. - leverage new ideas, knowledge, and information obtained through meaningful academic exchanges with researchers not only in their specialized fields but also from other disciplines, into the design of their doctoral dissertation research.

Course schedule

1. Tutorial under Triplet Research Supervision Scheme Students will hold group reading and discussion of important previous research in their specialized fields and other related fields to enhance their competency. In particular, students are expected to deepen their understanding of the various problems that arise during the conduct of their research/experiment as well as of the countermeasures to those problems while incorporating the results of discussions in the seminars into their daily laboratory work and/or research activities. 2. Workshop The workshop is held after lecture of Foundations of Sustainability Research A or B (scheduled on Saturday evening). Students report and hold Q&As on their doctoral dissertation research concepts. Possible dates for the workshop will be April 16th, May 7th, May 14th, and June 4th. Students will make a decision to give a presentation after consulting with academic principal supervisor. 3. Academic Literacy provided by the three universities (TUFS, UEC and TUAT) - Academic Literacy Seminar provided by TUFS (online) Subject: English Discussion Training Class Instructor: SUZUKI, Steven Taro (TUFS) Schedule: (17:40-19:10) 1) Tuesday April 12 Discussion Skill Training in English 1 2) Tuesday April 26 Discussion Skill Training in English 2 3) Tuesday May 17 Discussion Skill Training in English 3 4) Tuesday June 7 Discussion Skill Training in English 4 5) Tuesday June 21 Discussion Skill Training in English 5 6) Tuesday July 5 Discussion Skill Training in English 6 - Academic Literacy Seminar provided by TUAT (online: Google Classroom: Class code lc4uo7j) Subject: Basic Statistics Instructor: CHITOSE, Atsushi (TUAT) Schedule: (17:40-19:10) 1) Thursday May 12 Descriptive Statistics 1) Univariate case 2) Thursday May 19 Descriptive Statistics 2) Bivariate case 3) Thursday May 26 Inferential Statistics 1) Statistical distribution, t-test 4) Thursday June 2 Inferential Statistics 2) Hypothesis testing (t-test, F-test) 5) Thursday June 9 Inferential Statistics 3) Hypothesis testing among groups (ANOVA) 6) Thursday June 16 Inferential Statistics 4) Regression Analysis (OLS) - Academic Literacy Seminar provided by UEC (online or hybrid) 1. Subject: AI (Artificial Intelligence) Venue: Hybrid Instructor: HASHIYAMA, Tomonori Schedule: TBD 2. Subject: GIS (Geographic Information Systems) Instructor: YAMAMOTO, Kayoko (UEC) Schedule: (18:00-19:30) 1) Monday July 4 2) Wednesday July 6 3) Friday July 8

Prerequisites

You are recommended to prepare for, and review, the classes spending the standard amount of time as specified by the University for each class.

Required Text(s) and Materials

To be decided upon discussion with students at the start of the class.

References

To be distributed and introduced in each class.

Assessment/Grading

Participation and contribution 100%

Message from instructor(s)

Course keywords

Office hours

Remarks 1

Remarks 2

Related URL

Lecture Language

English

Language Subject

Last update

4/20/2022 2:06:40 PM