This course aims to equip you with (1) the foundational knowledge in statistics and statistical tools that are commonly employed in environmental sciences; (2) the ability to think numerically about data in environmental sciences and the world around you; (3) the proficiency in coding and executing statistical analyses in R. The course is a core module for ASE students specializing in ecology or society. It is designed for students of environmental science and those with little to no mathematics or statistics background. Concepts and skills taught in the module are generalizable, and especially useful in the data age we are now living in. The course will help to prepare you to conduct undergraduate research in environmental sciences (e.g., URECA, FYP), and more importantly, equip you with the ability and confidence to think and interact meaningfully with data around you in everyday life.
| Academic Units | 3 |
| Exam Schedule | Not Applicable |
| Grade Type | Letter Graded |
| Department Maintaining | EESS(ASE) |
| Prerequisites | MH1802 OR MH1800 OR MH1801 OR MH1100 OR MH1101 OR CY1201 OR CY1202 OR CY1601 OR CY1602 |
| Mutually Exclusive |
| Index | Type | Group | Day | Time | Venue | Remark |
|---|---|---|---|---|---|---|
| 79222 | LEC/STUDIO | LE | TUE | 0930-1120 | N1.1-B2-1C | |
| 79222 | TUT | T | TUE | 1330-1420 | LHS-TR+47 |
0930
1030
1130
1230
1330
1430
1530
1630
1730
ES2305
LEC/STUDIO | N1.1-B2-1C
ES2305
TUT | LHS-TR+47
We would encourage you to review with the following template.
AY Taken: ...
Assessment (Optional): ...
Topics (Optional): ...
Lecturer (Optional): ...
TA (Optional): ...
Review: ...
Final Grade (Optional): ...