学部・大学院区分
Undergraduate / Graduate
経済学部
時間割コード
Registration Code
0410103
科目区分
Course Category
Basic Specialized Courses
科目名 【日本語】
Course Title
専門基礎演習Ⅲ(E)
科目名 【英語】
Course Title
Introductory Seminar III (E)
コースナンバリングコード
Course Numbering Code
担当教員 【日本語】
Instructor
岡島 広子 ○
担当教員 【英語】
Instructor
OKAJIMA Hiroko ○
担当教員所属【日本語】
instructor's belongs
担当教員所属【英語】
instructor's belongs
単位数
Credits
2
配当年次
dividend Yearly
2年
2
開講期・開講時間帯
Term / Day / Period
秋 木曜日 2時限
Fall Thu 2
対象学年(非表示)
Year
授業形態
Course style
演習
Seminar


授業の目的 【日本語】
Goals of the Course(JPN)
授業の目的 【英語】
Goals of the Course
This course aims that students will be exposed to tools that are useful for conducting academic research. Specifically, students will learn research writing techniques by reading a textbook and Python (a programming language) through hands-on exercises.
到達目標 【日本語】
Objectives of the Course(JPN)
At the end of the course, all students will be able to:
1. Demonstrate an understanding of the structure of research writing.
2. Read and present academic papers.
3. Demonstrate an understanding of simple Python codes.
授業の内容や構成
Course Content / Plan
1. Introduction
2. Research presentation 1: research interests + Python: installation
3. Textbook presentation 1: p.9-27 + Python: unit 1
4. Textbook presentation 2: p. 33-44 + Python: unit 2
5. Textbook presentation 3: p.45-56 + Python: unit 3
6. Textbook presentation 4: p. 59-67 + Python: unit 4
7. Textbook presentation 5: p.67-85 + Python: unit 5
8. Textbook presentation 6: p. 85-97 + Python: review
9. Textbook presentation 7: p.99-107 + Python: unit 6
10. Textbook presentation 8: p. 108-132 + Python: unit 7
11. Textbook presentation 9: p. 133-159 + Python: unit 8
12. Textbook presentation 10: p. 160-176 + Python: unit 9
13. Research presentation 2 part 1: anchor paper + Python: unit 10
14. Research presentation 2 part 2: anchor paper + Python: review
15. Closing session
履修条件・関連する科目
Course Prerequisites and Related Courses
None
成績評価の方法と基準
Course Evaluation Method and Criteria
1. Presentations (30%): Presentations will be graded using a grading rubric provided in class.
2. Discussant (10%): One student will be assigned as a discussant to each presentation to lead a discussion. The discussant's performance will be graded using a grading rubric provided in class.
3. Assignment (30%): There will be about 10 homework assignments using Python. Each homework has a due date. Late submission will be accepted with a penalty of a 10% deduction per day (24-hour period).
4. Class participation (15%): Students who actively participate in discussions and in-class exercises will receive points for class participation.
5. Class attendance (15%): If a student anticipates an excused absence, he/she must notify the instructor in person or by emails to be excused. A proof (e.g., a doctor's note) is not required for the first absence but is required for the second and subsequent absences to be excused.
教科書・参考書
Textbook/Reference Book
Chaubey, Varanya. The little book of research writing : the structural challenge of communicating knowledge + a method to meet it. Charleston: CreateSpace Independent Publishing Platform, 2018, Print. ISBN-10‏: ‎1974673162, ISBN-13:‎ 978-1974673162.
課外学習等(授業時間外学習の指示)
Study Load(Self-directed Learning Outside Course Hours)
Students are expected to review course materials taught in each class. Previewing of course materials is not required.
注意事項
Notice for Students
授業開講形態等
Lecture format, etc.
If the educational activity level is 1 or less, face-to-face lessons will be held in principle. However, for students who do not wish to take face-to-face lessons, it will be conduct "face-to-face / ICT-based remote classes (two-way or simultaneous on-demand)". ICT-based remote classes will be conduct by NUCT etc. When conducting an on-demand lesson, students should use the NUCT feature "Messages" to ask teachers questions and exchange opinions about lessons between students.
* If the class format changes after registration (after this notification), we will notify you on the NUCT class site.
遠隔授業(オンデマンド型)で行う場合の追加措置
Additional measures for remote class (on-demand class)
質問への対応方法
Office hour