This unit is a duplicate unit of FIT5149. The ITIxxxx units have been created for the Monash Indonesia offering of the Master of Data Science due to the different teaching mode.

On successful completion of this unit, you should be able to:

1. analyse data sets with a range of statistical, graphical and machine-learning tools;
2. evaluate the limitations, appropriateness and benefits of data analytics methods for given tasks;
3. design solutions to real world problems with data analytics techniques;
4. assess the results of an analysis;
5. communicate the results of an analysis for both specific and broad audiences.

020307

This unit aims to provide students with the necessary analytical and data modeling skills for the roles of a data scientist or business analyst. Students will be introduced to established and contemporary Machine Learning techniques for data analysis and presentation using widely available analysis software. They will look at a number of characteristic problems/data sets and analyze them with appropriate machine learning and statistical algorithms. Those algorithms include regression, classification, clustering and so on. The unit focuses on understanding the analytical problems, machine learning models, and the basic modeling theory. Students will need to interpret the results and the suitability of the algorithms.

On-campus

Examination (2 hours and 10 minutes): 50%, In-semester assessment: 50%

Minimum total expected workload equals 144 hours per semester comprising:

1. Contact hours for on-campus students:
   • Two hours/week lectures.
   • Two hours/week tutorials.
2. Additional requirements:
   • A minimum of 8 hours per week of personal study for completing lab/tutorial activities, assignments, private study and revision, and for online students, participating in discussions.

FIT

ITI5197