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Historical snapshot — AY2024/2025 Semester 2 · View current offering →
ModsMS0003AY2024/2025 Semester 2

Introduction To Data Science Artificial Intelligence

AY2024/2025 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 in Materials Science 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
CategoriesCore
Mutually Exclusive WithCE1015, CE1115, CE4073, CH0494, CV0003, CZ1015, CZ1016, CZ1115, CZ4073, SC1015
Exam

Available Indexes

MonTueWedThuFri
1330

COMMON LEC (LE)

1330-1420 Mon

ONLINE, LT3

Wk3, Teaching Wk1,2,4-13

COMMON LEC (LE)

1330-1420 Mon

ONLINE, LT3

Wk3, Teaching Wk1,2,4-13

1400
1430
1500
1530
1600
1630

15111 TUT (T1)

1630-1820 Mon

LHN-LT, ONLINE

Wk1,2,4-13, Teaching Wk3

15111 TUT (T1)

1630-1820 Mon

LHN-LT, ONLINE

Wk1,2,4-13, Teaching Wk3

15112 TUT (T2)

1630-1820 Wed

LHN-LT, ONLINE

Wk1,2,4-13, Teaching Wk3

15112 TUT (T2)

1630-1820 Wed

LHN-LT, ONLINE

Wk1,2,4-13, Teaching Wk3

1700
1730
1800