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教員名 : Bishnu Kumar Adhikary
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授業科目名
Thesis Seminar 2
(英語名)
Thesis Seminar 2
科目区分
専門教育科目
-
対象学生
国際商経学部
学年
4年
ナンバリングコード
KCCBG4MCA3
単位数
2.00単位
ナンバリングコードは授業科目を管理する部局、学科、教養専門の別を表します。詳細は右上の?から別途マニュアルをダウンロードしてご確認ください。
授業の形態
演習 (Seminar)
開講時期
2026年度後期
(Fall semester)
担当教員
Bishnu Kumar Adhikary、Bishnu Kumar Adhikary
所属
School of Economics and Management
授業での使用言語
英語
Not available
関連するSDGs目標
目標1/目標2/目標3/目標4
オフィスアワー・場所
10:00-17:00
Room A317 (Research Building 1) School of Economics and Management 連絡先
By appointment (adhikarykobejp@gmail.com)
対応するディプロマ・ポリシー(DP)・教職課程の学修目標
二重丸は最も関連するDP番号を、丸は関連するDPを示します。
学部DP
1◎/3◎/4◎
研究科DP
ー
全学DP
ー
教職課程の学修目標
目標1:磨き続ける力/目標2:教え、寄り添う力
講義目的・到達目標
This course is a continuation of Thesis Seminar I. This course is designed to acquaint students with the theoretical and quantitative skills and knowledge needed to develop and address a research problem. The students will develop critical core competencies and skills needed to carry out enquiries, such as identifying research gaps, defining research questions and objectives, reviewing existing literature, outlining hypotheses, designing research methods that incorporate secondary and primary data collection techniques, sampling and analysis methods, and effective reporting of results. A practical demonstration of time series, cross-sectional, and panel data analysis using E-views and Stata will be given.
授業のサブタイトル・キーワード
Subtitle
Application of data in real life Keywords Data, research methods, time series, panel, econometric models, Stata 講義内容・授業計画
1: Research definition, types, and finding an exciting topic (research gap).
2: Research questions, objectives, and value addition. 3: Scientific literature review and justification of research questions with hypotheses. 4: Identifying variables and constructs- preparing a conceptual model 5: Quantitative versus qualitative approach 6: Sampling and data collections- primary versus secondary sources of data 7: Econometric modeling 8: Assignment presentation by students 9: Qualitative research- questionnaire design, interview, and content analysis 10: Quantitative research -time series analysis with advanced models 11: Quantitative research - cross-sectional analysis with clustering 12: Quantitative research- panel analysis with fixed effect models and GMM 13: Use of the ARDL model in Stata 14: Assignment presentation by students 15: Final paper 対面・遠隔の別
対面
実施方法及び遠隔上限適用対象の別
• In-person classes only
• Not subject to the cap on distance-education credits 生成AIの利用
完全に禁止
生成AI注意点
The use of generative AIis completely forbidden
教科書
Introductory Econometrics, 7e, 2019, Jeffrey M. Wooldridge, 826 pages, South-Western Pub, ISBN: 978-1337558860
Basic Econometrics, 5e, Damodar N. Gujarati, and Dawn C. Porter, 2008, McGraw-Hill Education, ISBN: 978-0073375779 参考文献
Zikmund, Babin, Carr, and Griffin (2013). Business Research Methods, Ninth Edition, South-Western Publishing, ISBN: 978-1-111-82694-9
Using Econometrics- A Practical Guide, 7e, A H. Studenmund, Pearson, 2016. ISBN: 978-0134182742 事前・事後学習(予習・復習)の内容・時間の目安
This is an advanced course in business research. The primary objectives of this course are to help students understand the research process and to enable them to carry out research individually in a systematic manner. Students must attend every class on time and actively participate in classroom discussions. The instructor will provide all necessary reading materials and PowerPoint slides. Students must study for 4 hours weekly to do well on the exam. Students should spend at least 60 hours outside the classroom to achieve good grades in this course.
アクティブ・ラーニングの内容
Teaching methods are mainly based on lectures and practical demonstrations using E-views and Stata. PowerPoint slides will be given to the students before each lecture so they can make the necessary preparations for the forthcoming classes. The instructor will first discuss the concepts and rationales behind each topic to increase students' theoretical knowledge. Then the instructor will solve several problems in class using statistical software. Afterward, students must solve the prescribed exercises and problems at home and discuss their solutions in class. Then the instructor will address all critical issues so students can rectify their mistakes.
成績評価の基準・方法
Class contributions 20%
Presentation and assignment 30% Final paper 50% 課題・試験結果の開示方法
In the classroom
履修上の注意・履修要件
Must have strong motivation to carry out research. This class will be offered on campus in person. However, some classes may be offered online via Zoom.
実践的教育
Not avialable
備考
英語版と日本語版との間に内容の相違が生じた場合は、日本語版を優先するものとします。
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