FIT3164 - Data science project 2 - 2018

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Information Technology

Chief examiner(s)

Dr Christoph Bergmeir

Unit guides

Offered

Clayton

  • Second semester 2018 (On-campus)

Prerequisites

FIT3163

Prohibitions

FIT3144Not offered in 2018

Synopsis

This unit provides practical experience in researching, designing, developing and testing a non-trivial data science project. Projects involve whole or part of the data science process (visualisation, analysis, algorithms, etc.) but can also be software-based, or they may involve investigation of theory. Projects if software-based should cover analysis through design to implementation and testing. Comprehensive written documentation on the project is required. Students are assigned in groups to a project supervisor. There are no lectures in this unit, although students will be expected to attend regular meetings with their project supervisor. The unit is the second part of a 12-credit point project sequence; the first part and entry point for the project is FIT3163.

Outcomes

On completion of this unit, students should be able to:

  1. evaluate and select research methods and techniques of data preparation and analysis appropriate to a particular project;
  2. search, access, and analyse research literature as part of the process of developing solutions to problems;
  3. work effectively in collaborative teams;
  4. develop and test a substantial piece of software or perform a substantial analysis of data using software;
  5. explain and reflect upon the purpose, operation, success and value of the developed project in writing and orally;
  6. write a report explaining methodology, outlining their contributions and the contributions of others, and documenting the developed project from appropriate perspectives, for instance that of a user, researcher or developer.

Assessment

In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

  1. Contact hours for on-campus students:
    • 2-hour project meeting and peer-learning session per week in a lab environment.
    • 2-hour guest lectures and peer presentations in seminars.
  2. Additional requirements (all students):
    • A minimum of 8 hours of personal study in order to complete the research and implementation of the project.

See also Unit timetable information