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AY2019/2020 Semester 2
The course will focus on fundamental processes for scientific modelling, inference and data-science and their application in earth and environmental system science. The class will cover (1) basic concepts and tools in data science, (2) brief review of statics, (3) goals and principles of scientific modeling, (4) model development, (5) model calibration and selection, (6) sensitivity analysis, (7) model evaluation, (8) model predictions, (9) results visualization and communication.
| AUs | 3.0 AUs |
| Categories | CoreBDE |
| Not Available To Programme | ACBS, ACC, ADM, AERO, ARED, ASEC, BCE, BCG, BEEC, BIE, BMS, BS, BSB, BSPY, BUS, CBE, CBEC, CE, CEE, CEEC, CHEM, CHIN, CS, CSC, CSEC, CVEC, DSAI, ECMA, ECON, ECPP, ECPS, EEE, EEEC, ELAH, ELH, ENE, ENEC, ENG, HIST, IEEC, IEM, LMS, MACS, MAEC, MAEO, MAT, MATH, ME(DES), ME(NULL), ME(RMS), MEEC(DES), MEEC(NULL), MEEC(RMS), MS, MS-2ndMaj/Spec(MSB), MTEC, PHIL, PHY, PPGA, PSLM, PSY, SCED, SOC, SSM |
| Not Available To All Programme With | Yr1, Yr2 |
| Exam |
| Mon | Tue | Wed | Thu | Fri | ||
|---|---|---|---|---|---|---|
| 1130 | COMMON LEC (LE) 1130-1300 Wed N1.1-B2-1C Wk1-12 | 79061 LAB (LA) 1130-1300 Fri N1.1-B2-1C , Wk13 | 79061 LAB (LA) 1130-1300 Fri N1.1-B2-1C Wk13 | |||
| 1200 | ||||||
| 1230 | ||||||
