New: see the walk between your classes on the timetable

Historical snapshot: AY2024/2025 Semester 2 · View current offering
ModsCB0494AY2024/2025 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 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
Core
Mutually Exclusive WithCE1115, CH0494, CZ1115, SC1015
Exam

Available indexes

MonTueWedThuFri
830

55096 TUT (C24)

0830-1020 Fri

CBE-CL2, ONLINE

Wk1,2,4-13, Teaching Wk3

900
930

55093 TUT (C21)

0930-1120 Mon

CBE-CL2, ONLINE

Wk1,2,4-13, Teaching Wk3

55094 TUT (C22)

0930-1120 Tue

CBE-CL2, ONLINE

Wk1,2,4-13, Teaching Wk3

55088 TUT (B22)

0930-1120 Wed

CBE-CL2, ONLINE

Wk1,2,4-13, Teaching Wk3

55091 TUT (CBE1)

0930-1120 Thu

CBE-CL2, ONLINE

Wk1,2,4-13, Teaching Wk3

55092 TUT (CBE1)

0930-1120 Thu

CBE-CL2, ONLINE

Wk1,2,4-13, Teaching Wk3

1000
1030

55090 TUT (B24)

1030-1220 Fri

CBE-CL2, ONLINE

Wk1,2,4-13, Teaching Wk3

1100
1130

55087 TUT (B21)

1130-1320 Mon

CBE-CL2, ONLINE

Wk1,2,4-13, Teaching Wk3

55095 TUT (C23)

1130-1320 Tue

CBE-CL2, ONLINE

Wk1,2,4-13, Teaching Wk3

55089 TUT (B23)

1130-1320 Thu

CBE-CL2, ONLINE

Wk1,2,4-13, Teaching Wk3

1200
1230
1300

Found something wrong?

NTUMods is built and maintained by one person, so a short note goes a long way. Pick what fits, add the details, and I will look at it.

I'll use this to follow up with you.

Attaches your saved timetables and settings to help debug the issue. On by default, turn off to exclude it.

Developer? Open an issue or PR.