Section outline

  • Module Lecturer

    Hello everyone, my name is Dr. Murugananthan (Dr. Muru for short!) and I am the lecturer responsible for Data Management.  Please feel free to contact me via Ms Teams or email, I am also available for 1-2-1 consultation (Please refer to the iConsult system).   Should you have any queries or questions please reach out, best of luck with the module!


    • Students must
      Mark as done
      Module Synopsis

      This module will provide the learner with an overview of the importance of data in the growing field of data science and analytics. The learner will study both the established methods and technologies used and also investigate new and emerging ones. Emphasis will be placed on the data mining models in context of organizational data, various data types & exploratory, data preprocessing measures & techniques, data warehousing & data governance. This module corresponds to CT051-3-M-DM, therefore please refer to the non-ODL MD if any changes to the module are needed.

      Course Learning Outcomes

      CLO1: Evaluate the various data types, data storage systems and associated techniques for indexing and retrieving data. (C6, PLO7)

      CLO2: Design feature engineering techniques to transform transactional data into meaningful inputs in order to create a predictive model. (A5, PLO6)

      CLO3: Propose a suitable approach to designing a data warehouse to store and process large datasets. (A3, PLO5)