Introduction To Data Science Artificial Intelligence
AY2024/2025 Semester 1
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.
| AUs | 3.0 AUs |
| Categories | CoreBDE |
| Not Available To Programme | ACDA, AISC, BACF, BASA, CMED, CNEL, CNLM, COMP, ECDS, ELHS, ELPL, HSCN, HSLM, LMEL, LMPL, PHMS, PLCN, PLHS, SPPE |
| Not Available As BDE/UE To Programme | ACBS, ACC, ADM, ARED, BCE, BCG, BEEC, BIE, BMS, BS, BSB, BSPY, BUS, CBE, CBEC, CE, CEE, CEE 1, CEEC, CHEM, CHIN, CS, CSC, CSEC, CVEC, DSAI, ECMA, ECON, ECPP, ECPS, EEE, EEE 1, EEEC, EESS, ELAH, ELH, ENE, ENE 1, ENEC, ENG, ESPP, HIST, IEEC, IEM, LMS, MACS, MAEC, MAEO, MAT, MATH, ME 1, MS, MS(ITG), MS(NULL), MS-2ndMaj/Spec(MSB), MTEC, PHIL, PHY, PPGA, PSLM, PSMA, PSY, REP, SCED, SOC, SSM |
| Mutually Exclusive With | CE1015, CE1115, CE4073, CH0494, CV0003, CZ1015, CZ1016, CZ1115, CZ4073, SC1015 |
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