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第1回
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Descriptive Statistics
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Learn about representative values and scatter.
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第2回
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DescriptiveStatistics
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Learn about correlations, linkages, and cross tabulation tables.
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第3回
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Probability
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Learn about probability distribution, normal distribution, binomial distribution, and standardization of data.
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第4回
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Estimated Statistics
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Learning about estimators.
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第5回
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Interval Estimation
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Learn about interval estimation.
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第6回
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Test of the Difference of Proportions
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Learning the χ2 Test
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第7回
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Test of the Mean Difference
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Learn about t-tests
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第8回
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Bayesian Statistics
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Learn about Bayesian statics.
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第9回
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Introduction to Machine Learning
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Learn about orting and algorithms, cloud services and big data, types of machine learning.
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第10回
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Supervised Machine Learning
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Learn about regression analysis (single regression, multiple regression, polynomial regression)
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第11回
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Supervised Machine Learning
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Learn about classification (logistic regression, KNN, SVM, decision trees, random forests)
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第12回
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Supervised Machine Learning
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Learn about classification (logistic regression, KNN, SVM, decision trees, random forests)
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第13回
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Unsupervised Machine Learning
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Learn about clustering and principal component analysis
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第14回
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Unsupervised Machine Learning
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Learn about clustering and principal component analysis
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第15回
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Supervised Machine Learning
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Learn about neural networks and convolutional neural networks
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第16回
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Supervised Machine Learning
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Learn about neural networks and convolutional neural networks
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※AL（アクティブ・ラーニング）欄に関する注
・授業全体で、AL（アクティブ・ラーニング）が占める時間の割合を、それぞれの項目ごとに示しています。
・A〜Dのアルファベットは、以下の学修形態を指しています。
【A：グループワーク】、【B：ディスカッション・ディベート】、【C：フィールドワーク（実験・実習、演習を含む）】、【D：プレゼンテーション】
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