学部・大学院区分
Undergraduate / Graduate
経・博前
時間割コード
Registration Code
2412101
科目名 【日本語】
Course Title
上級経営Ⅰ
科目名 【英語】
Course Title
Advanced Management Ⅰ
コースナンバリングコード
Course Numbering Code
ECOMA5111B
担当教員 【日本語】
Instracter's belongs
山口 景子 ○
担当教員 【英語】
Instracter's belongs
YAMAGUCHI Keiko ○
担当教員配属【日本語】
Instracter's belongs
大学院経済学研究科
担当教員配属【英語】
Instracter's belongs
Graduate School of Economics
単位数
Credits
2
開講期・開講時間帯
Term / Day / Period
春 火曜日 4時限
Spring Tue 4
授業形態
Course style
講義
Lecture


授業の目的 【日本語】
Goals of the Course(JPN)
この講義では,経営学分野で研究を遂行するために必要な基礎能力を育むことを目的としています。
社会科学分野の実証研究で注目を集めている因果推論を題材に,どのようにリサーチクエスチョンを立て,データを収集し,分析を行う必要があるかを学びます。
授業の目的 【英語】
Goals of the Course
This course aims to develop the basic skills necessary to conduct research in business administration and commerce. Students will learn how to formulate research questions, collect data, and conduct analysis using causal inference as the subject matter, which has received much attention in empirical research in social science.
到達目標 【日本語】
Objectives of the Course(JPN)
The goals of this course are the following:
・Students become able to understand the cutting-edge research design and statical methods to infer the causality behind the data.
・Students will be ready to plan their original research in the social science field based on the knowledge they earn in the class.
授業の内容や構成
Course Content / Plan
1 Introduction & Chapter assignment
2 Lecture: How to search for data in the library?
3 Chapter 01 to 03
4 Chapter 04 & 05
5 Chapter 06 to 09
6 Exercise #1
7 Chapter 10 to 12
8 Chapter 14
9 Chapter 15
10 Chapter 16 & 17
11 Exercise #2
12 Chapter 18 & 19
13 Chapter 20
14 Exercise #3
15 Chapter 21 & 22
履修条件・関連する科目
Course Prerequisites and Related Courses
There is no prerequisite for enrolling in this class. However, basic knowledge about mathematics, econometrics, and statistics is required to understand the contents provided in this class.
Students who skip the 1st class without prior approval by the instructor are NOT accepted.
成績評価の方法と基準
Course Evaluation Method and Criteria
Your final grade will be calculated according to the following process:
・Class attendance and contribution to the in-class discussion (30%)
・Presentation (30%)
・Assignments in the Exercise session (40%)

The requirements for passing the course are as follows:
・You can join in-class discussions with your original ideas.
・You can summarize the contents in the textbook precisely and illustrate them to the audience clearly.
・You can propose constructive ideas to develop their understanding of the experimental/research designs and analytical methods and make their research plans.

※ If you are absent from this class more than four times, you will get an "F" automatically.
教科書・参考書
Textbook/Reference Book
■ Textbook
Huntington-Klein, N. (2021). The Effect. Routledge

■ Reference
Cunningham, S. (2021). Causal Inference: The Mixtape. Yale University Press
課外学習等(授業時間外学習の指示)
Study Load(Self-directed Learning Outside Course Hours)
All participants are expected to spend enough time on the required readings, presentation preparations, take-home assignments, and other learning activities.
注意事項
Notice for Students
This course will be taught in English and Japanese.
授業開講形態等
Lecture format, etc.
対面授業科目(原則として対面のみ)
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
By appointment (Contact us by email or message on TACT).