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Historical snapshot: AY2020/2021 Semester 2 · View current offering
ModsMA0218AY2020/2021 Semester 2

Introduction To Data Science Artificial Intelligence

AY2020/2021 Semester 2

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.

AUs3.0 AUs
Categories
CoreBDE
Not Available As BDE/UE To ProgrammeACBS, 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 WithCE1015, CE1115, CE4073, CH0494, CV0003, CZ1015, CZ1016, CZ1115, CZ4073
Exam

Available indexes

MonTueWedThuFri
930

COMMON LEC (LE)

0930-1030 Fri

ONLINE

1000
1030
1100
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1300
1330

23024 TUT (MA1)

1330-1530 Mon

ONLINE

Wk2-13

23026 TUT (MA3)

1330-1530 Tue

ONLINE

Wk2-13

23028 TUT (MA5)

1330-1530 Wed

ONLINE

Wk2-13

23030 TUT (MA7)

1330-1530 Thu

ONLINE

Wk2-13

1400
1430
1500
1530

23025 TUT (MA2)

1530-1730 Mon

ONLINE

Wk2-13

23027 TUT (MA4)

1530-1730 Tue

ONLINE

Wk2-13

23029 TUT (MA6)

1530-1730 Wed

ONLINE

Wk2-13

23031 TUT (MA8)

1530-1730 Thu

ONLINE

Wk2-13

1600
1630
1700

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