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What you'll be able to do (official learning outcomes)
describe what data mining is and how data mining can be employed and applied to solve real problems
recognise wither a data mining solution is feasible alternative for a specific problem
apply basic statistical to evaluate the results of data mining models
develop a comprehensive understanding of how several data mining techniques can be applied to solve problems; and
identify the common designs and structures of warehouse systems
Course contents
Fundamentals of data mining, Data Mining Functionalities, Classification of Data Mining systems, Data Mining Task Primitives, Integration of a Data Mining System with a Database or a Data Warehouse System, Information retrieval, machine learning, optimisation, microeconomics, algorithms, mathematical formulas, computer programs, analytic…
Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study ITH 505.