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AY2023/2024 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 | |||||
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| 1800 |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 830 | 06055 TUT (T1) 0830-0920 Wed SCI-EXSR | ||||
| 900 | |||||
| 930 | 06056 TUT (T2) 0930-1020 Wed SCI-EXSR | ||||
| 1000 | |||||
| 1030 | 06057 TUT (T3) 1030-1120 Wed SCI-EXSR | ||||
| 1100 | |||||
| 1130 | |||||
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| 1630 | COMMON LEC (LE) 1630-1750 Mon LF-LT | COMMON LEC (LE) 1630-1750 Tue LF-LT | |||
| 1700 | |||||
| 1730 |