大学院演習IIB

博士前期課程理工学研究科 - 理工学専攻

MSCT3754

コース情報

担当教員: 矢入郁子

単位数: 1

年度: 2024

学期: 秋学期

曜限: 金3

形式: 対面授業

レベル: 600

アクティブラーニング: あり

他学部履修: 不可

評価方法

出席状況

50%

授業参加

50%

詳細情報

概要

This lecture will be done interactively using yairilab.net domain online server. You will learn how to perform statistical analysis and statistical machine learning methods. This lecture is equivalent to the subject of “Cultivating specialized skills with combined knowledge” in the curriculum policy of the master's program at the Graduate School of Science and Engineering.

目標

The goal is to acquire skills to correctly plan, conduct, and analyze results in each research. This lecture corresponds to the Diploma Policy 2 of the master's program at the Graduate School of Science and Engineering. Students will acquire the expertise to be at the forefront in science and engineering and related fields, as well as the ability to develop new technologies and develop new fields.

授業外の学習

Take this lesson as an opportunity to deepen your knowledge and thoughts and increase your ability to execute. Thinking about the application of these technologies in your own research in some way every day, all of them are preparation and review of this class. As a guideline, a minimum of 1.5 hours of preparation / review is required.

所要時間: 190分

スケジュール

Master's Thesis Research and Statistics
Examples of statistical applications in information and communication systems research
An overview of statistics that ICT researchers should learn
Introduction to experimental design
Applying experimental design to your research
Introduction to multivariate analysis
Applying multivariate analysis to your research, basic
Applying multivariate analysis to your research, advanced
Applying multivariate analysis to your research, professional
Introduction to statistical hypothesis testing
Applying statistical hypothesis testing to your research
Introduction to statistical machine learning
Applying statistical machine learning to your research, basics
Applying statistical machine learning to your research, advanced

教科書

All materials are prepared and provided to all students.

参考書

書籍情報はありません。