This
course will prepare students for advanced research by examining how to plan,
conduct and report on empirical investigations with an emphasis on data science
within an application domain (e.g., NLP, Finance, Healthcare, Agriculture, and
Telecommunications). It will also introduce students to practical but
scientific research work, and to encourage independent academic and/or
commercial research among students. The overall outcome is to develop novel solutions to data science-related
problems and communicate the findings (concepts, designs and techniques)
effectively and professionally in accordance with NUST requirements.
Students have to submit three (3) Progress Reports during the year of Thesis, using the link provided.
Due dates are: 17 April, 17 July and 13 November for Report No1, No2 and No3 respectively.
- Lecturer: Dr. Richard Maliwatu
- Lecturer: Prof Hippolyte Muyingi