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
| Academic Units | 3 |
| Exam Schedule | Wed Dec 03 2025 00:00:00 GMT+0000 (Coordinated Universal Time) 09:00-11:00 |
| Grade Type | Letter Graded |
| Department Maintaining | CS |
| Mutually Exclusive |
| Index | Type | Group | Day | Time | Venue | Remark |
|---|---|---|---|---|---|---|
| - | LEC/STUDIO | LE | MON | 1630-1750 | LF-LT | |
| LEC/STUDIO | LE | TUE | 1630-1750 | LF-LT |
0930
1030
1130
1230
1330
1430
1530
1630
1730
CS2400
LEC/STUDIO | LF-LT
CS2400
LEC/STUDIO | LF-LT
CS2400
06059
TUT | SCI-EXSR
Teaching Wk2-13
CS2400
06060
TUT | SCI-EXSR
Teaching Wk2-13
CS2400
06061
TUT | SCI-EXSR
Teaching Wk2-13
We would encourage you to review with the following template.
AY Taken: ...
Assessment (Optional): ...
Topics (Optional): ...
Lecturer (Optional): ...
TA (Optional): ...
Review: ...
Final Grade (Optional): ...