Not offered in the current semester · Last offered AY2019/2020 Semester 1
This course aims to equip students with data science skills. In biology, data is growing exponentially, thanks to advancements in "-omics" platforms. You need to understand how to leverage on this modern technological landscape to maximize your effectiveness as a biologist. You will learn database concepts, use R programming to solve problems, understand research design and statistical analysis as an inexact 'art', and appreciate data visualization as a crucial component in understanding and communicating research findings.
| AUs | 3.0 AUs |
| Grade Type | |
| Prerequisite | BS1008 |
| 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 | |
| Not Offered As BDE | |
| Not Offered As Unrestricted Elective | |
| Exam |
Total hours per week: 3 hrs
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
Other offerings
AY18/19