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
大学院経済学研究科
担当教員所属【英語】
instructor's belongs
Graduate School of Economics
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 火曜日 ４時限
Fall Tue 4
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. Each class consists of two parts. In the first part, students will learn Python (a programming language) through hands-on exercises. In the second part, students will learn how to analyze business cases through discussions and group work.
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. Critically analyze business stragegies.
2. Integrate ideas from various business and economics disciplines.
3. Demonstrate an understanding of basic Python codes.
4. Use simple web scraping with Python
授業の内容や構成
Course Content / Plan
Week 1: Course orientation, job hunting workshop*
Week 2: Python Unit 1, Business case 1
Week 3: Python Unit 2, Business case 1
Week 4: Python Unit 3, Business case 1
Week 5: Python Unit 4, Business case 2
Week 6: Python Unit 5, Business case 2
Week 7: Python Unit 6, Business case 2
Week 8: Python Unit 7, Business case 3
Week 9: Python Unit 8, Business case 3
Week 10: Python Unit 9, Business case 3
Week 11: Python Unit 10, Business case 4
Week 12: Python Unit 11, Business case 4
Week 13: Python Unit 12, Business case 4
Week 14: Python Unit 13
Week 15: Closing session
* The exact data will be announced later.
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. Discussion & Participation 60%
3. Assignment 30%
4. Attendance 10%

The following is the grading schema. Students must score at least 60 (C-) to pass this course.

Score Grade
95～100 A+
80～94.99 A
70 – 79.99 B
65 – 69.99 C
60 – 64.99 C-
0 – 59.99 F
教科書・参考書
Textbook/Reference Book
None
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.
注意事項
Notice for Students
Students must bring their computers to every class to use Python. Smartphones and tablets cannot be used for this purpose.
授業開講形態等
Lecture format, etc.
In principle, face-to-face lessons only.
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
Students will be notified about weekly office hours during the class orientation. To get help outside of office hours, contact the instructor: okajima@soec.nagoya-u.ac.jp