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Historical snapshot: AY2018/2019 Semester 2 · View current offering
ModsES0002AY2018/2019 Semester 2

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.

AUs3.0 AUs
Categories
CoreBDE
Not Available To ProgrammeACBS, 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 WithYr1, Yr2, (Admyr 2018-onwards)
Exam

Available indexes

MonTueWedThuFri
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

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