ANALYTICS PROJECT 1

BUS5PR1

2020

Credit points: 15

Subject outline

This subject expatiates knowledge and skills acquired in the course hitherto, by focusing on a real-world, hands-on, industry-focused project that requires students to apply, experiment, create and evaluate an end-to-end analytics solution that addresses complex end-user requirements for data-driven decision-making. Students will learn an agile scrum-based approach that use Jupyter Notebooks, Google Collaboratory, and Python libraries for developing analytics techniques based on machine learning, deep learning and natural language processing algorithms. Professional and interpersonal communication skills required to present an analytics start-up pitch, data-driven insights, analytics teamwork practice and project management updates to an industry based audience will be discussed, demonstrated and assessed. Ethics of artificial intelligence and analytics, data and ICT governance, security management, and related human factors which are equally important to a successful analytics project with positive social impact will be formulated and evaluated in this subject.




SchoolLa Trobe Business School

Credit points15

Subject Co-ordinatorDaswin De Silva

Available to Study Abroad StudentsNo

Subject year levelYear Level 5 - Masters

Exchange StudentsNo

Subject particulars

Subject rules

Prerequisites BUS5PA and BUS5VA and BUS5AP or subject to coordinators approval

Co-requisites BUS5CA

Incompatible subjectsN/A

Equivalent subjectsN/A

Special conditionsN/A

Graduate capabilities & intended learning outcomes

01. Compose, prepare, communicate as well as interpret a comprehensive analytics proposal for complex problems in industrial settings.

Activities:
Lectures, workshops and assignments
Related graduate capabilities and elements:
Literacies and Communication Skills (Writing,Speaking)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Personal and Professional Skills (Ethical behaviour,Study and Learning Skills)
Discipline -Specific Knowledge and Skills (Discipline-Specific Knowledge and Skills)

02. Identify, compare, develop and apply analytics techniques based on artificial intelligence, machine learning, deep learning and natural language processing algorithms using state-of-the-art technology platforms for agile solution formulations and comparison

Activities:
Lectures, workshops and assignments
Related graduate capabilities and elements:
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Personal and Professional Skills (Ethical behaviour,Study and Learning Skills)
Discipline -Specific Knowledge and Skills (Discipline-Specific Knowledge and Skills)

03. Demonstrate a practical knowledge of ethics in artificial intelligence and data analytics, data and ICT governance, security management, and related human factors.

Activities:
Lectures, workshops and assignments
Related graduate capabilities and elements:
Literacies and Communication Skills (Writing,Speaking)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Personal and Professional Skills (Ethical behaviour,Study and Learning Skills)
Personal and Professional Skills (Ethical behaviour,Study and Learning Skills)
Discipline -Specific Knowledge and Skills (Discipline-Specific Knowledge and Skills)

04. Develop an ethical and professional mindset towards engagement, interaction and teamwork with industry-focused stakeholders, teaching staff, fellow student as well as datasets, algorithms and insights.

Activities:
Lectures, workshops and assignments
Related graduate capabilities and elements:
Literacies and Communication Skills (Writing,Speaking)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Discipline -Specific Knowledge and Skills (Discipline-Specific Knowledge and Skills)

Subject options

Select to view your study options…

Start date between: and    Key dates

City Campus, 2020, Semester 2, Night

Overview

Online enrolmentYes

Maximum enrolment size120

Enrolment information better class management Merit based quota. By order of application to the Subject Coordinator.

Subject Instance Co-ordinatorDaswin De Silva

Class requirements

Lecture/Workshop Week: 31 - 43
One 3.0 hours lecture/workshop per week on weekdays at night from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementComments% ILO*
Presentation of analytics project proposal1500 words equivalency task30 01
Critical evaluation of findings and insights2500 words equivalency task40 01, 02, 04
Final presentation and report of analytics project at analytics project competition1500 words equivalency task30 02, 03, 04

City Campus, 2020, Semester 1, Night

Overview

Online enrolmentYes

Maximum enrolment size120

Enrolment information better class management Merit based quota. By order of application to the Subject Coordinator.

Subject Instance Co-ordinatorDaswin De Silva

Class requirements

Lecture/Workshop Week: 10 - 22
One 3.0 hours lecture/workshop per week on weekdays at night from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementComments% ILO*
Presentation of analytics project proposal1500 words equivalency task30 01
Critical evaluation of findings and insights2500 words equivalency task40 01, 02, 04
Final presentation and report of analytics project at analytics project competition1500 words equivalency task30 02, 03, 04