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Introduction To Data Science Artificial Intelligence

Current offering — AY2025/2026 Semester 2

In this era of information, vast amounts of new data are produced every day from various fields including scientific research,healthcare, industry and service processes. Using data effectively and extracting meaningful insights from data can significantly improve efficiencies, cut costs and add more value to organizations. This course aims to provide you with an understanding of basic techniques for data analysis, machine learning and dimension reduction for big data, and expose you to hands-on computational tools that are fundamental for data science. Besides supervised and unsupervised learning,another fundamental technology of Artificial Intelligence - reinforcement learning will also be introduced,including Markov decision process and Q- learning. Suited for anyone from different backgrounds, this course will show you how you could apply various methods to data examples and case studies from both research and industrial sources in the Singapore context.

AUs3.0 AUs
Grade Type
PrerequisitePS0001, CZ1003 (Applicable to MACS), CZ1103 (Applicable to MACS)
Not Available To Programme
Not Available To All Programme With(Admyr 2011-2017)-Non Direct Entry, (Admyr 2011-2018)-Direct Entry
Not Available As BDE/UE To Programme
Not Available As Core To Programme
Not Available As PE To Programme
Mutually Exclusive WithCE1015, CE1115, CE4073, CH0494, CZ1015, CZ1016, CZ1115, CZ4073, SC1015
Not Offered As BDE
Not Offered As Unrestricted Elective
Exam

Total hours per week: 2 hrs

Available Indexes

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Other offerings

AY24/25
Semester 1Semester 2Sp. Term
AY23/24
Semester 1Semester 2Sp. Term
AY22/23
Semester 1Semester 2Sp. Term
AY21/22
Semester 1Semester 2Sp. Term
AY20/21
Semester 1Semester 2Sp. Term
AY19/20
Semester 1Semester 2Sp. Term

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