As part of the course architecture redevelopment, the 3rd year DS project is a ?capstone? project running over 12 credit points, 6 points per semester. This is part 1 of that project, and is a data science version of FIT3161.

Introduction for course architecture programs. Effective semester 1, 2016

Reason for changes made on 15/06/2016: (1) Introducing into this unit a 2-hour seminar series over first six weeks to cover the core body of knowledge on Project management. (2) Collaborative teamwork is made an explicit ULO.

Fixed verbs in the learning outcomes.

01/07/2016: Admin - updating workload requirements to specify number of personal study hours as requested by UGPC 3/16.

21/09/2020 Admin: Update to include new assessment and teaching approach fields as per Handbook requirements.

19/07/2021 CE: Increase mark for Progress Report (Interview) from 0% to 5% to reflect importance of assessment (and accordingly reduce mark of Project Proposal with Literature Review from 50% to 45%).

Core in the BCS degree with Data Science specialisation, capstone research project (part 1).

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

1. recognize and execute the factors essential for successful management of systems development projects, including teamwork and interpersonal communication.
2. evaluate and select research methods and techniques of data preparation and analysis appropriate to a particular project, and practice these ethically and professionally;
3. search, access and analyse research literature as part of the process of developing solutions to problems;
4. operate effectively as a member of a development team;
5. communicate in written and oral form the proposed deliverables of a project and reflect upon their value and the likelihood of success;
6. develop, demonstrate and explain results of analysis, a software prototype or model.

0299

This unit provides practical experience in researching, designing, developing and evaluating 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 sting. 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 first part of a 12-credit point project sequence; the second part and exit point for the project is FIT3162.

Technological requirements

On-campus

Both Workshops and Problem-based Learning In certain weeks, students will look at some case studies to explore project management principles concepts in a workshop setting.

In-semester assessment: 100%

1. Journal Entries: - 10% - ULO: 1 , 2, 3, 4
2. Project Management Case Studies: - 10% - ULO: 1, 3
3. Project Management Quizzes: - 10% - ULO: 1, 3
4. Project Design: - 10% - ULO: 3, 5
5. Project Progress Report Interview : - 5% - ULO: 5, 6, 7
6. Project Proposal with Literature Review: - 45% - ULO: 2, 3, 4, 5, 6, 7
7. Presentation of Project Plan: - 10% - ULO: 6

Minimum total expected workload equals 144 hours over 12 weeks comprising:

(a.) Contact hours for on-campus students:

(b.) Additional requirements (all students):

FIT1043, FIT1049, FIT2004, FIT2086, FIT2094