Keio University Syllabus and Timetable

INTRODUCTION TO PROBABILITY AND STATISTICS FOR LIBERAL ARTS

Lecturer(s)BANA, GERGELY I.
Credit(s)2
Academic Year/Semester2025 Fall
Day/PeriodFri.2
CampusMita
Class FormatFace-to-face classes (conducted mainly in-person)
Registration Number19696
Faculty/Graduate SchoolINTERNATIONAL CENTER
Year Level2, 3, 4
Grade TypeThis item will appear when you log in (Keio ID required).
Course DescriptionA course to aim to teach liberal arts students to understand the basic notions of probability theory and statistics, and to be able to comprehend the meaning of an elementary statistical analysis.
K-Number CIN-CO-00413-212-12
Course AdministratorFaculty/Graduate SchoolCININTERNATIONAL CENTER
Department/MajorCO
Main Course NumberLevel0Faculty-wide
Major Classification0Other Course
Minor Classification41International Center Course (Other) - Statistics
Subject Type3Elective subject
Supplemental Course InformationClass Classification2Lecture
Class Format1Face-to-face classes (conducted mainly in-person)
Language of Instruction2English
Academic Discipline12Analysis, applied mathematics, and related fields

Course Contents/Objectives/Teaching Method/Intended Learning Outcome

The aim of this course is to teach liberal arts students to understand the basic notions of probability theory and statistics, and to be able to comprehend the meaning of an elementary statistical analysis. While some mathematics is unavoidable to handle probabilities and statistics, our target is not to be able to carry out computations, rather to be able to comprehend simple analyses concerning randomness, subjective and objective probabilities, parameter estimation, confidence. After a short introduction of elementary probability theory, the most important discrete and continuous distributions, the law of large numbers and the central limit theorem, we discuss the basics of statistics, parameter estimation, confidence, and Bayesian statistics.

Active Learning MethodsDescription

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Preparatory Study

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Course Plan

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Method of Evaluation

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Textbooks

There are no prescribed textbooks.
Handouts are available for download from K-LMS.

Reference Books

Jay Devore: Probability and Statistics for Engineering and the Sciences (9th ed)
John Canning: Statistics for the Humanities
David Freedman, Robert Pisani, & Roger Purves: Statistics

Lecturer's Comments to Students

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Question/Comments

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