New: filter modules by day and time, student links, custom courses →
AY2022/2023 Semester 1
In today's era of Information, `Data' is the new driving force, provided we know how to extract relevant `Intelligence'. This course will start with the core principles of Data Science, and will equip you with the basic tool and techniques of data handling, exploratory data analysis, data visualization, data-based inference, and data-focussed communication. The course will also introduce you to the fundamentals of Artificial Intelligence - state space representation, uninformed search, and reinforcement learning. The course will motivate you to work closely with data and make data-driven decisions in your field of study. The course will also touch upon ethical issues in Data Science and Artificial Intelligence, and motivate you to explore the cutting-edge applications related to Big Data, Neural Networks and Deep Learning. Python will be the language of choice to introduce hands-on computational techniques.
| AUs | 3.0 AUs |
| Categories | CoreBDE |
| Not Available To Programme | CNEL, CNLM, ELHS, ELPL, HSCN, HSLM, LMEL, LMPL, PLCN, PLHS |
| Not Available As BDE/UE To Programme | ACBS, ACC, ADM, ARED, 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, EESS, ELAH, ELH, ENE, ENEC, ENG, ESPP, HIST, IEEC, IEM, LMS, MACS, MAEC, MAEO, MAT, MATH, MS, MS(ITG), MS(NULL), MS-2ndMaj/Spec(MSB), MTEC, PHIL, PHY, PPGA, PSLM, PSMA, PSY, REP, SCED, SOC, SSM |
| Mutually Exclusive With | CE1015, CE1115, CE4073, CH0494, CV0003, CZ1015, CZ1016, CZ1115, CZ4073, SC1015 |
| Exam |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
| Mon | Tue | Wed | Thu | Fri | ||||
|---|---|---|---|---|---|---|---|---|
| 830 | 23211 TUT (MA11) 0830-1020 Tue CAE LAB2 Wk2-13 | 23212 TUT (MA12) 0830-1020 Tue CAE LAB2 Wk2-13 | ||||||
| 900 | ||||||||
| 930 | COMMON LEC (LE) 0930-1020 Fri LT1A | |||||||
| 1000 | ||||||||
| 1030 | 23213 TUT (MA13) 1030-1220 Tue CAE LAB2 Wk2-13 | 23214 TUT (MA14) 1030-1220 Tue CAE LAB2 Wk2-13 | ||||||
| 1100 | ||||||||
| 1130 | ||||||||
| 1200 | ||||||||
| 1230 | ||||||||
| 1300 | ||||||||
| 1330 | 23201 TUT (MA1) 1330-1520 Mon CAE LAB2 Wk2-13 | 23202 TUT (MA2) 1330-1520 Mon CAE LAB2 Wk2-13 | 23203 TUT (MA3) 1330-1520 Mon CAE LAB2 Wk2-13 | 23207 TUT (MA7) 1330-1520 Tue CAE LAB2 Wk2-13 | 23209 TUT (MA9) 1330-1520 Wed CAE LAB2 Wk2-13 | |||
| 1400 | ||||||||
| 1430 | ||||||||
| 1500 | ||||||||
| 1530 | 23204 TUT (MA4) 1530-1720 Mon CAE LAB2 Wk2-13 | 23205 TUT (MA5) 1530-1720 Mon CAE LAB2 Wk2-13 | 23206 TUT (MA6) 1530-1720 Mon CAE LAB2 Wk2-13 | 23208 TUT (MA8) 1530-1720 Tue CAE LAB2 Wk2-13 | 23210 TUT (MA10) 1530-1720 Wed CAE LAB2 Wk2-13 | |||
| 1600 | ||||||||
| 1630 | ||||||||
| 1700 | ||||||||