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.
| AUs | 3.0 AUs |
| Grade Type | |
| Prerequisite | MH1802, MH1800, MH1801, MH1100, MH1101, CY1201, CY1202, CY1601, CY1602 |
| Not Available To Programme | |
| Not Available To All Programme With | |
| Not Available As BDE/UE To Programme | |
| Not Available As Core To Programme | |
| Not Available As PE To Programme | |
| Mutually Exclusive With | BS1008, MH3511 |
| Not Offered As BDE | |
| Not Offered As Unrestricted Elective | Yes |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | COMMON LEC (LE) 0930-1120 Tue N1.1-B2-1C | ||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | 79222 TUT (T) 1330-1420 Tue LHS-TR+47 | ||||
| 1400 |