| Course title | |||||
| 農学基礎ゼミ [Basic Seminar of Agricultural Science] | |||||
| Course category | Liberal Arts and Fundamental Studies | Requirement | Credit | 2 | |
| Department | Year | 1～ | Semester | 1st | |
| Course type | 1st | Course code | 01fy100221 | ||
| Instructor(s) | |||||
| 高栁 正夫 [TAKAYANAGI Masao] | |||||
| Facility affiliation | United Graduate School Agricultural Science | Office | Email address | ||
| Course description |
|
This course aims to develop minds for knowledge creation and autonomous learning, and is designed as an introductory course for the Liberal Arts and Fundamental Studies. Students will experience different styles of lectures and classes depending on the contents. It consists of two parts. Part I : Common Introductory Program In this program that is common to all first-year students, students will learn about our university and think how they would pursue their academic life here. The university history and TUAT principals are described as well as our research activities, with the aim of encouraging students to engage in university study and to understanding the importance of designing their individual university life. Part II : Faculty-Specific Program [Optical Measurement and Data Science] The subject of this course is spectroscopy, a typical optical measurement method. Recently, spectroscopy has been combined with data science techniques to obtain an extraordinary amount of detailed information compared to conventional methods. After a minimum of basic lecture, all students will be asked to research, present, and discuss relevant issues. Students will be exposed to the latest trends of this field, and at the same time learn the basics of communication and presentation. |
| Expected Learning |
|
1) To understand the autonomous learning in the University, and be able to design individual's academic life at University from broad perspectives. 2) To be able to give a crap about "Optical Measurement and Data Science". To be able to research, present, and discuss a given topic related to "Optical Measurement and Data Science." Competency Development： Initiative and Autonomy, Leadership and Facilitation, Knowledge Creation, Presentation Skills, Mission-Oriented Research and Problem Solving, Academic Ethics |
| Course schedule |
|
Part I : Common Introductory Program 1. About the University (I) Brief history of the University. Talks from the President, the Dean of the Faculty of Agriculture, and the Dean of the Faculty of Engineering. 2. About the University (II) Talks from the Heads of the Departments. 3. Studying at the University (lecture 1) Identity development and academic life: Challenges experienced in adolescence. (lecture 2) Differences between studying at high school and studying at university. Designing your academic life at the University from broad perspectives, with a systematic approach in mind in taking lectures and studying abroad. 4. Our Initiative for Society (lecture 1) Global warming and emission of greenhouse gas. Our effort in reducing CO2 emission. (lecture 2) TUAT Plastic 5R Campus-Reduce, Reuse, Recycle, Renewable, Research. Our teaching and research activities in finding the solutions and educating future generations. (lecture 3) Novel Coronavirus Infection: A challenge from 未来疫学(R) (Mirai Ekigaku, literally Future Pathology) 5. Research ethics Code of conduct for research integrity, and scientific misconducts. Falsification, fabrication, and plagiarism are discussed. Part II : Faculty-Specific Program 6. Introduction, Schedule, Background 7. Short lecture on spectroscopy 8. Discussion of applications of spectroscopy 9. Short lecture on data science for spectroscopy 10. Discussion on application of data science to spectroscopy 11. How to prepare for presentation 12. Presentation and discussion 13. Presentation and discussion 14. Presentation and discussion 15. Summary and reflection |
| Prerequisites |
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Part I : In addition to 10 hours you spend in the class, you are recommended to review the classes spending the standard amount of time as specified by the University for each class, to plan out the courses to take and design how you would pursue your academic activities ahead. Part II : In addition to class time, students should use study time equivalent to the standard number of hours at the university to conduct research, prepare presentations, and reflect on their work. |
| Required Text(s) and Materials |
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Part I : Handouts and exercise materials are provided during the class Part II : Handouts and exercise materials are provided during the class |
| References |
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Part I : ・アカデミック・スキルズ 大学生のための知的技法入門 （慶應義塾大学出版会） 佐藤望(編著)、湯川武、横山千晶、近藤明彦 ・思考を鍛える大学の学び入門ー論理的な考え方・書き方からキャリアデザインまで（慶應義塾大学出版会）井下千以子 Part II : None |
| Assessment/Grading |
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Part I (25%)： Marks are given based on worksheets collected at the end of each class. The key point in evaluation is how one's own thoughts and perspectives are described in own words. Part II (75%)：Participation in classes 70%, presentations at presentations 30% |
| Message from instructor(s) |
| Part II: This course is a chance for you to learn the basic methods for study and research at University. Please participate actively, not just natively. |
| Course keywords |
| Part I : Questioning mind, Autonomous learning, Research integrity Part II : Spectroscopy, Light, Multivariate analysis, AI |
| Office hours |
| Part I : It will be announced during the class. Part II : 12:30-14:30 on every Tuesday |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 1/17/2022 11:28:33 PM |