Syllabus

SubjectPROBABILITY [DS1](GIGA/GG/GI)

Class Information

Faculty/Graduate School
POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES
Course Registration Number
47428
Subject Sort
B3102
Title
PROBABILITY
Field
Fundamental Subjects - Subjects of Data Science - Data Science 1
Unit
2 Unit
Year/Semester
2023 Fall
K-Number
FPE-CO-03013-212-12
Year/Semester
2023 Fall
Day of Week・Period
Tue 3rd
Lecturer Name
Atsushi Kanazawa
Class Format
Face-to-face
Language
English
Location
Other
Class Style
*Please click here for more information on the correspondence between 'Class Style' and ’Active Learning Methods’.
Lecture
GIGA Certificate
Applied

Detail

Course Summary

This is an introduction to the mathematical theory of probability. We begin with basics of set theory, mathematical logic and combinatorics, based on which we develop probability theory. After introducing the concept of probability, we cover basic topics of probability theory: conditional probability, independency, Bayes' theorem, random variables, probability distributions, expectation, variation, central limit theorem.