ModsSC1015
Introduction To Data Science Artificial 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.
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 |
Exam | N/A |
Grade Type | N/A |
Maintaining Dept | N/A |
Prerequisites | |
Mutually Exclusive With | , , , CE4073, , CV0003, , CZ1016, , CZ4073, , IE0005, MA0218, , |
Not Available To Programme | N/A |
Not Available To All Programme With | (Admyr 2011-2020) |
Not available as Core for programmes | N/A |
Not Available as PE for programmes | N/A |
Not Available as BDE/UEs for programmes | N/A |
Not Offered To | N/A |
Total hours per week: 3 hrs
Available Indexes
Mon | Tue | Wed | Thu | Fri | |
---|---|---|---|---|---|
1030 | 10164 LAB (FEL1) 1030-1220 Mon HPL | ||||
1100 | |||||
1130 | |||||
1200 | |||||
1230 | |||||
1300 | |||||
1330 | |||||
1400 | |||||
1430 | |||||
1500 | |||||
1530 | COMMON LEC (SCL1) 1530-1620 Fri LT3 | ||||
1600 |
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