Holiday
EECS資電 104 T7T8R7
This course introduces the students to the theory of statistics. The course covers the following subjects: probability space, independence, conditional probability, random variables, mathematical expectations, probability density functions, multivariate, accumulated distribution functions. We will also lecture confidence intervals, statistical hypotheses testing, CRB, special distributions, sufficient statistics and Maximum likelihood approach. This course aims to build a solid foundation for engineering students to apply statistical tools and theory for engineering applications.
MON | TUE | WED | THU | FRI | |
08:00108:50 | |||||
09:00209:50 | |||||
10:10311:00 | |||||
11:10412:00 | |||||
12:10n13:00 | |||||
13:20514:10 | |||||
14:20615:10 | |||||
15:30716:20 | |||||
16:30817:20 | |||||
17:30918:20 | |||||
18:30a19:20 | |||||
19:30b20:20 | |||||
20:30c21:20 |
Average GPA 3.87
Std. Deviation 0.43
16週課程。接受電機系同學加簽至教最大容量。本學期增開課程,非常態開設。
電機系大學部3年級,電資院學士班大學部3年級優先,第3次選課起開放全校修習
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