At the interface between biology, physics, and engineering, there is a wild frontier waiting to be explored. Over recent years, an increasing number of researchers with math or physics backgrounds have developed interests in biology-related topics. Concurrently, biological research is becoming more quantitative, and data driven. The world needs a new generation of biologists equipped with skills in mathematical modeling, data processing, and coding. The aim of this course is to introduce quantitative biology using a diverse range of phenomena related to signal and noise in biological systems as examples. You will learn some basic yet essential mathematical techniques and discover how these tools further our understanding of biology and biophysics. If you are a physics or math major interested in biology but haven't been trained in it, this course is perfect for you. If you are a biology or engineering major with basic knowledge in calculus and statistics, this course is also ideal. Join us and position yourself at the forefront of a transformative movement toward interdisciplinary research.
| Academic Units | 3 |
| Exam Schedule | Thu Apr 30 2026 00:00:00 GMT+0000 (Coordinated Universal Time) 09:00-11:30 |
| Grade Type | Letter Graded |
| Department Maintaining | PHY(SPS) |
| Prerequisites | |
| Mutually Exclusive | |
| Not Available to Programme | MACS, MAEO, MATH |
| Index | Type | Group | Day | Time | Venue | Remark |
|---|---|---|---|---|---|---|
| 70815 | LEC/STUDIO | LE | THU | 1130-1320 | MAS EC RM1 | |
| 70815 | TUT | T | TUE | 1130-1220 | MAS EC RM1 | Teaching Wk2-13 |
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1030
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1230
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PH3408
TUT | MAS EC RM1
Teaching Wk2-13
PH3408
LEC/STUDIO | MAS EC RM1
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