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.
| Academic Units | 3 |
| Exam Schedule | Not Applicable |
| Grade Type | Letter Graded |
| Department Maintaining | EESS(ASE) |
| Prerequisites | ES2001 & MH1800 OR ES2001 & MH1802 OR CY1601 & ES2001 OR CY1602 & ES2001 |
| Not Available to Programme | ACBS, 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, PHIL, PHY, PLCN, PLHS, PPGA, PSLM, PSMA, PSY, REP, SCED, SOC, SPPE, SSM |
| Not Available to All Programme | Yr1, Yr2 |
| Index | Type | Group | Day | Time | Venue | Remark |
|---|
0930
1030
1130
1230
1330
1430
1530
1630
1730
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