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Historical snapshot: AY2025/2026 Semester 2 · View current offering
ModsES0002AY2025/2026 Semester 2

Fundamentals Of Data Science For Eess

AY2025/2026 Semester 2

The goal of this class is to develop a working knowledge of data science and its use in earth systems research and practice. The course is split evenly between key concepts / theory and practical experience writing code and analyzing outputs. Some introductory knowledge of statistics is assumed, and some familiarity with programming is helpful but not required.

AUs3.0 AUs
Categories
CoreBDE
Not Available To ProgrammeACBS, ACC, ADM, AERO, AISC, ARED, ASEC, BACF, BASA, BCE, BCG, BEEC, BIE, BMS, BS, BSB, BSPY, BUS, CBE, CBEC, CE, CEE, CEE 1, CEEC, CHEM, CHIN, CMED, CNEL, CNLM, COMP, CS, CSC, CSEC, CVEC, DSAI, ECMA, ECON, ECPP, ECPS, EEE, EEE 1, EEEC, ELAH, ELH, ELHS, ELPL, ENE, ENE 1, ENEC, ENG, HIST, HSCN, HSLM, IEEC, IEM, LMEL, LMPL, LMS, MACS, MAEC, MAEO, MAT, MATH, ME 1, ME(DES), ME(IMS), ME(NULL), ME(RMS), MEEC(DES), MEEC(IMS), MEEC(NULL), MEEC(RMS), MS, MS-2ndMaj/Spec(MSB), MTEC, PESC, PHIL, PHY, PLCN, PLHS, PPGA, PSLM, PSMA, PSY, REP, ROBO, SCED, SOC, SPPE, SSM
Not Available To All Programme WithYr1, Yr2
Exam

Available indexes

MonTueWedThuFri
930

COMMON LEC (LE)

0930-1050 Tue

N1.1-B2-1B

79201 TUT (T)

0930-1050 Wed

N1.1-B2-1B

1000
1030

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