TSMC台積120 R7R8R9
This course surveys basic statistical concepts with realistic applications in Economics and Econometrics. This course focuses on the ideas of correctly extracting information from data analyses, which forms the ba<x>ses of Econometrics and Machine Learning. As students get better at data-analytic thinking they will develop intuition as to how and where to apply creativity and domain knowledge. Topics are as follows. (i) What is statistical inference and the usual mis-interpretations of statistical analyses? (ii) The way to let data speak? –Hypothesis Testing. (iii) The way to discover potential relations. –Foundations of Regression. (iv) The way to clarify causal relations. –Causal Analysis. (v) The way to generalize from observed data. –Foundations of Machine Learning.
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08:00108:50 | |||||
09:00209:50 | |||||
10:10311:00 | |||||
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12:10n13:00 | |||||
13:20514:10 | |||||
14:20615:10 | |||||
15:30716:20 | |||||
16:30817:20 | |||||
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18:30a19:20 | |||||
19:30b20:20 | |||||
20:30c21:20 |
【上學期原修統計學一ECON216101(余朝恩老師)同學選課優先,第3次選課起開放】
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