Series
AY 2004
Statistics Mathematical Principles
This course aims to facilitate students understanding of the basics of probability and statistics, stochastic processes, and signal processing through drills and processes, and in putting them into practice without difficulty. Despite mainly targeting third-year students, the course also accepts fourth-year students to participate. Through this course, students may learn subjects such as combination and probability, random variables and probability distributions, random walk, Brownian motion, Langevin equation, autocorrelation, noise, error, Fourier transformation, power spectrum, digital signal processing, etc. With regard to signal processing, the course will provide drills and practices by computer using the SPICE3 program.
Content List
Resources
Available
Available
#1 Combination and Probability (Lecture/Drills and Practice)
Lecturer | Kenichi Ishikawa
Resources
Available
Available
Resources
Available
Available
#2 Random Variables and Probability Distributions (Lecture/Drills and Practice)
Lecturer | Kenichi Ishikawa
Resources
Available
Available
Resources
Available
Available
#3 Representative Probability Distributions (Lecture/Drills and Practice)
Lecturer | Kenichi Ishikawa
Resources
Available
Available
Resources
Available
Available
#4 Random Walk and Gambler's Ruin Problem/Brownian Motion and Diffusion (Lecture)
Lecturer | Kenichi Ishikawa
Resources
Available
Available
Resources
Available
Available
#5 Random Walk and Gambler's Ruin Problem/Brownian Motion and Diffusion (Drills and Practice)
Lecturer | Kenichi Ishikawa
Resources
Available
Available
Resources
Available
Available
#6 Noise Theory (Lecture/Drills and Practice)
Lecturer | Kenichi Ishikawa
Resources
Available
Available