| Academic Year |
2024Year |
School/Graduate School |
Graduate School of Humanities and Social Sciences (Master's Course) Division of Humanities and Social Sciences Economics Program |
| Lecture Code |
WMEZ1202 |
Subject Classification |
Specialized Education |
| Subject Name |
経済学プログラム特別演習II |
Subject Name
（Katakana） |
ケイザイガクプログラムトクベツエンシュウII |
Subject Name in
English |
Special Seminar on Economics Program |
| Instructor |
ONO SADAYUKI |
Instructor
(Katakana) |
オノ サダユキ |
| Campus |
Higashi-Senda |
Semester/Term |
1st-Year, Second Semester, Second Semester |
| Days, Periods, and Classrooms |
(2nd) Inte：Higashi-Senda Seminar Rm 9 |
| Lesson Style |
Seminar |
Lesson Style
(More Details) |
|
| Online, seminar, discussion, presentation |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
J
:
Japanese |
| Course Level |
6
:
Graduate Advanced
|
| Course Area（Area） |
24
:
Social Sciences |
| Course Area（Discipline） |
03
:
Economics |
| Eligible Students |
|
| Keywords |
|
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Class Objectives
/Class Outline |
The objective of this course is to master the basic idea of statistics and the method of data management for empirical research. For this purpose, this course practices a PC programming software such as Matlab. |
| Class Schedule |
Statistical items in (1) to (9) below are presented and discussed.
You will also learn how to program using Matlab in (11) to (14) below.
(1) Introduction to statistics
(2) Sample distribution
(3) Probability and probability distribution
(4) Uniform and normal distributions
(5) Statistical significance and mean estimates
(6) t distribution and chi-square distribution
(7) Hypothesis testing
(8) Correlation analysis
(9) Regression analysis
(10) Exam on Statistics
(11) The basics of working with Matlab
(12) Matrix computation by Matlab
(13) Managing data with Matlab
(14) Computation of maxima and minima by Matlab and implementation of regressive analyses
(15) Exam on Matlab |
Text/Reference
Books,etc. |
Reference
For Statistics,
• はじめての統計学; by 鳥居泰彦
For MATLAB programming,
• MATLABプログラミング入門; by 上坂吉則
|
PC or AV used in
Class,etc. |
|
| (More Details) |
|
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
Review is important to master PC software and programming. |
| Requirements |
The enrollment of this course is restricted to students whose thesis is under my supervision. |
| Grading Method |
Grade is determined by the test of statistical knowledge and the test that confirm the level of Matlab acquisition. The contribution of each test to the grade is 50%.
|
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
|
| Other |
You will be informed of the opening time of this course during the class of Special Topics. |
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. |