Fundamentals Of Data Science For Eess
AY2018/2019 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, ASEC, BCE, BCG, BEEC, BIE, BMS, BS, 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, 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, SOC, SSM |
| Not Available To All Programme With | Yr1, Yr2, (Admyr 2018-onwards) |
| Exam |
Available indexes
| Mon | Tue | Wed | Thu | Fri | ||
|---|---|---|---|---|---|---|
| 1300 | COMMON LEC (LE) 1300-1430 Tue N1.1-B2-1B Wk1-12, Teaching Wk13 | 79048 LAB (LA) 1300-1430 Tue N1.1-B2-1B Wk1-12, Teaching Wk13 | 79048 LAB (LA) 1300-1430 Thu N1.1-B2-1B | |||
| 1330 | ||||||
| 1400 | ||||||