Course title
V14603002
Probability and Statistics

 nakatsu tomonori Click to show questionnaire result at 2019
Course description
Lectures on basics of Probability and Statistics
Purpose of class
Learn basics of Probability and Statistics
Goals and objectives
  1. Lean basics of probability such as random variable, expectation, variance so on.
  2. Lean how to compute the expectation and variance.
  3. Lean basics of statistics.
Language
Japanese
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Discrete probability space and examples Review of lectures 180minutes
2. Conditional probability and Bayes' theorem Review of lectures 180minutes
3. Discrete random variable and probability law, binomial distribution, geometric distribution, Poisson distribution Review of lectures 180minutes
4. Expectation and variance of discrete random variables Review of lectures 180minutes
5. Probability space, random variable Review of lectures 180minutes
6. Normal distribution, Uniform distribution, Exponential distribution Review of lectures 180minutes
7. Mid-term exam and its review Review of lectures 270minutes
8. Law of large numbers, Central limit theorem Review of lectures 180minutes
9. Basics of statistics Review of lectures 180minutes
10. Sampling distribution, Chi-square distribution Review of lectures 180minutes
11. F-distribution, t-distribution Review of lectures 180minutes
12. Unbiased estimator, Efficient estimator, Maximum likelihood estimator Review of lectures 180minutes
13. Interval estimation Review of lectures 180minutes
14. Final exam and its review Review of lectures 270minutes
Total. - - 2700minutes
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Mid-term exam Final exam Total.
1. 20% 10% 30%
2. 30% 10% 40%
3. 30% 30%
Total. 50% 50% -
Evaluation method and criteria
Mid-term exam and Final exam (Depending on the situation, reports will be added to the evaluation)
Textbooks and reference materials
The following would be helpful:
「確率・統計入門」小針晛宏著、岩波書店
Prerequisites
Nothing special
Office hours and How to contact professors for questions
  • e-mail
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
Active-learning course
More than one class is interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicatable
Applicatable Nakatsu worked at a financial institute for 4 years.
Education related SDGs:the Sustainable Development Goals
  • 4.QUALITY EDUCATION
  • 8.DECENT WORK AND ECONOMIC GROWTH
  • 16.PEACE, JUSTICE AND STRONG INSTITUTIONS
Last modified : Sat Jun 20 04:17:37 JST 2020