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AY2022/2023 Semester 1
Learning Objective This course will introduce you to the statistical foundations of data science and information analytics for handling of massive databases. The course covers the statistical concepts required for big data analytics, and introduces you to statistical tests and statistical modeling. Content Importance of Statistics; Descriptive Statistics; Probability; Counting Techniques; Discrete Probability Distributions; Normal Distribution; Confidence Intervals; Hypotheses Testing for one Population; Hypotheses Testing for two Populations; Correlation and Linear Regression; Non-linear Regression; Application of Statistics to Data Analytics
| AUs | 3.0 AUs |
| Categories | CoreMinorsBDE |
| Mutually Exclusive With | CS4036 |
| Exam |
| Mon | Tue | Wed | Thu | Fri | |
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| 930 | |||||
| 1000 | |||||
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| 1730 | |||||
| 1800 |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 830 | 06062 TUT (T1) 0830-0920 Wed SCI-EXSR Wk2-13 | ||||
| 900 | |||||
| 930 | 06063 TUT (T2) 0930-1020 Wed SCI-EXSR Wk2-13 | ||||
| 1000 | |||||
| 1030 | 06064 TUT (T3) 1030-1120 Wed SCI-EXSR Wk2-13 | ||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
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| 1430 | COMMON LEC (LE) 1430-1550 Mon LF-LT | ||||
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| 1530 | |||||
| 1600 | |||||
| 1630 | COMMON LEC (LE) 1630-1820 Tue LF-LT | ||||
| 1700 | |||||
| 1730 | |||||
| 1800 |