学部・大学院区分
Undergraduate / Graduate
経済学部
時間割コード
Registration Code
0410102
科目区分
Course Category
Basic Specialized Courses
科目名 【日本語】
Course Title
専門基礎演習Ⅱ(E)
科目名 【英語】
Course Title
Introductory Seminar II (E)
コースナンバリングコード
Course Numbering Code
担当教員 【日本語】
Instructor
MARTIN RODRIGUEZ Maria ○
担当教員 【英語】
Instructor
MARTIN RODRIGUEZ Maria ○
担当教員所属【日本語】
instructor's belongs
Graduate School of Economics
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
1年
1
開講期・開講時間帯
Term / Day / Period
春 月曜日 2時限
Spring Mon 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 to expose students to the most standard mathematical tools currently used in intermediate economic analysis.
到達目標 【日本語】
Objectives of the Course(JPN)
授業の内容や構成
Course Content / Plan
1 (April 11) Chapter 6: Comparative statics and the concept of derivative.
2 (April 18) Chapter 7 (7.1 – 7.3): Rules of differentiation.
3 (April 25) Chapter 7 (7.4 – 7.6): Partial differentiation and applications.
4 (May 2) Chapter 8 (8.1 – 8.4): Differentials and total derivatives.
5 (May 9) Chapter 8 (8.5 – 8.6): Derivatives of implicit functions and applications.
6 (May 16) Summary and partial evaluation 1.
7 (May 23) Chapter 9: Optimization.
8 (May 30) Chapter 11 (11.1 – 11.4): First and second order conditions, and quadratic forms.
9 (June 6) Chapter 11 (11.5 – 11.6): Concavity and convexity, and applications.
10 (June 13) Summary and partial evaluation 2.
11 (June 20) Chapter 12 (12.1 – 12.4): Optimization with equality constraints.
12 (June 27) Chapter 12 (12.5 – 12.7): Quasiconcavity/quasiconvexity, homogeneous functions.
13 (July 4) Chapter 13 (13.1 – 13.2): Non-linear programming and Kuhn-Tucker conditions.
14 (July 11) Chapter 13 (13.4 – 13.6): Sufficiency theorems in non-linear programming and the Envelope theorem.
15 (July 25) FINAL SUMMARY AND FINAL EVALUATION.
履修条件・関連する科目
Course Prerequisites and Related Courses
While there are no prerequisites, students must be familiar with the content covered in the chapters 2, 3, 4 and 5 of the textbook.
成績評価の方法と基準
Course Evaluation Method and Criteria
2 partial evaluations (25% each) and a final evaluation (50%). Getting a total average above 60% is necessary to pass the course.
教科書・参考書
Textbook/Reference Book
Chiang, A. and Wainwright, K. “Fundamental Methods of Mathematical Economics” McGraw-Hill Education, 4th edition.
課外学習等(授業時間外学習の指示)
Study Load(Self-directed Learning Outside Course Hours)
Course materials will be distributed via NUSS.
Students must read the corresponding chapter in advance to prepare the notes that they will hand in every week, and watch the corresponding videos.
注意事項
Notice for Students
The course withdrawal system is NOT used.
It is not possible to pass the course if you are absent four times or more.
授業開講形態等
Lecture format, etc.
The lectures will be used to answer students’ questions based on the materials they have read and watched.
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