It is vital to acquire knowledge and skills in statistics and probability in various fields related to electrical engineering and information communication engineering. By combining lectures and exercises, the course enables students to understand and learn the fundamentals of mean, variance, characteristic function, etc. in the first part (probability) and those of unbiased estimation, maximum likelihood estimation, hypothesis testing, etc. in the second part (statistics).
The ability to derive statistically significant information will be very useful in the real world.
Students will be able to learn how to analyze data in various fields related to electrical engineering and information communication engineering by using probablistic methods and statistical techniques. The course provides specific examples in engineering, which will give a deeper understanding. Many practical exercises and exams will enable students to acquire knowledge effectively.
Corresponding educational goals are:
(1) Specialist skills Fundamental specialist skills
(6) Firm fundamental specialist skills on electrical and electronic engineering, including areas such as electromagnetism, circuits, linear systems, and applied mathematics
Probability, Mean, Variance, Maximum likelihood estimation, Hypothesis testing
|Intercultural skills||Communication skills||Specialist skills||Critical thinking skills||Practical and/or problem-solving skills|
To cultivate practical ability, students are given many exercise problems, which are related to a previous class and a class on the day.
|Course schedule||Required learning|
|Class 1||Permutations||Understand the Permutations|
|Class 2||Conditional probability||Calculate conditional probability.|
|Class 3||Mean and variance||Calculate mean and variance|
|Class 4||Characteristic function||Understand characteristic function|
|Class 5||Random variable and distribution I||Understand random variable and distribution|
|Class 6||Random variable and distribution II||Understand random variable and distribution|
|Class 7||Random variable and distribution III||Understand random variable and distribution|
|Class 8||Test level of understanding with exercise problems||Test level of understanding for classes 1–7|
|Class 9||Review of the first part of the course||Review the first part (probability) and understand the introduction to the second part (statistics)|
|Class 10||Statistical estimation||Calculate several types of means|
|Class 11||Unbiased estimation||Understand unbiased estimation|
|Class 12||Maximum likelihood estimation||Learn how to perform maximum likelihood estimation|
|Class 13||Hypothesis testing||Learn applications of hypothesis testing|
|Class 14||Stochastic process I||Perform regression analysis calculation|
|Class 15||Stochastic process II||Calculate correlation coefficient|
Watanabe, Sumio, Noboru, Murata, Probability and statistics: a bridge to information science, Corona-sha; ISBN: 9784339060775 (in Japanese)
Ogura, Hisanao, stochastic process for physics and engineering, Corona-sha; ISBN: 9784339004229, 9784339004236 (in Japanese)
Shibata, Fumiaki, Probability and statistics, Iwanami-shoten; ISBN: 9784000079778 (in Japanese)
Baba, Noriyuki, Kuchii, Shigeru, Campus seminar: statistics, mathema-shuppan, ISBN: 9784907165314 (in Japanese)
Students' knowledge of probability and statistical, and their ability to apply them to problems will be assessed.
Midterm exam 40%, final exam 40%, exercise problems 20%.
Students must have successfully completed both Calculus I and Calculus II.
Contact by e-mail in advance.