| 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) | |||||
| 近江 正陽 [OMI Masaharu] | |||||
| Facility affiliation | Faculty of Agriculture | Office | afjgxte/L1151 | 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 Statistics are defined as "quantitatively grasping collective phenomena. Determining matters to be investigated for a certain group and quantitatively expressing the characteristics and trends of the group." In other words, it means expressing the amount of various events and phenomena numerically and the numerical data itself. Statistical data is collected from a wide variety of levels such as national, local governments, municipalities, private companies and their organizations, and some important data is the basis for policies and legislation. The purpose of this lecture is to find statistical data of events and phenomena that students are interested in and to read and understand their changes and transitions. |
| 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) Based on statistical data, you can quantitatively grasp the characteristics and trends of the group. Presentation of grasped contents is possible. 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 What are statistics and statistical data? 7 Search for statistical data you are interested in (search for statistical data on the Internet) 8 Create a diagram from a list of numbers 9 Read the changes and trends in the data from the created diagram and consider the cause 10-12 Search and consider statistical data that is the basis of the cause considered from data changes and trends 13 Create presentation materials and scenarios 14-15 Presentation |
| 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 : Make sure that you can log in to the university's net as you will be searching statistics published on the Internet. |
| Required Text(s) and Materials |
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Part I : Handouts and exercise materials are provided during the class Part II : |
| 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 : |
| 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: Statistics are important social data that is the basis of policies and laws. It is also cited as the social background for various studies, and the ability to read such data is important. I hope that you will understand the handling of statistics even a little in this lecture. |
| Course keywords |
| Part I : Questioning mind, Autonomous learning, Research integrity Part II :Statistics, search, social background |
| Office hours |
| Part I : It will be announced during the class. Part II :After the lecture is over |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 2/18/2021 11:49:54 AM |