0.1 At2 mapping

Week1

Activities for Week 1: Complete UTS:Open course

AT2
Week1

Problem identification

AT2-C1
Week1

Opportunities for innovation

AT2-C2
Week1

When things go wrong in data science projects

AT2-C4
Week1

Accessing, finding, and researching for resources

C4-5
Week1

AT2: Briefing

AT2
Week2

Individual activity: Writing in Data Science padlet

C4-5
Week2

AT1: Read: Building your argument

C4-5
Week2

AT1: Individual Activity: Building your argument (part 1)

C4-5
Week2

AT1: Individual Activity: Building your argument

C4-5
Week2

AT1: Individual Activity: Supporting your claims

C4-5
Week2

AT1: Individual Activity + Peer Discussion: Putting it together

C4-5
Week2

AT2: Briefing

AT2
Week3

What is innovation?

AT2-C4
Week3

A brief history of data as thing

AT2-C4
Week3

The human face of data

AT2-C1;AT2-C4
Week3

Innovation, improvement, and creativity

AT2-C4
Week3

Read: Data collection shapes and is shaped by us

AT2-C1;AT2-C4
Week3

AT2: Professional tools of Data Science - RStudio

C4-5
Week4

Read: Data literacy and decision making

AT2-C2
Week4

Individual activity: Data literacy: A cautionary tale

AT2-C2
Week4

Read and individual activity: Data stories

AT2-C2
Week4

Read: A statistics refresher

AT2-C2
Week4

Individual activity: What's your story: Using R matching exercise

AT2-C2
Week4

Individual activity: Correlations

AT2-C2
Week4

Read: Statistical problems

AT2-C2
Week4

Read: Error and accuracy

AT2-C2
Week4

Individual activity: New tools! Text mining in sheets

AT2-C2
Week4

Professional tools: Statistical analyses

AT2-C2
Week5

Assessment 2 Part A url

AT2
Week5

AT2 Data Audit

AT2-C1
Week5

Mystery box: Pre-work, session, and followup tasks

AT2
Week6

AT2: Using the template

C4-5
Week6

AT2: Basic [paragraph] structure for AT2

C4-5
Week6

AT2: Process, peer review, and FAQ

C4-5
Week6

AT2: Exemplars

C4-5
Week6

AT2: Writing about and with data: Visualisations

C4-5
Week6

AT2: Common errors

C4-5
Week6

AT2: Data story telling

AT2-C2
Week6

AT2: Re-mix me

AT2-C2
Week6

Re-mix me task

AT2-C2
Week6

AT2: Professional Tools: Data visualisation

AT2-C2
Week7

AT1: Creating a Medium account

C4-5
Week7

Ethics and Data Science

AT2-C3
Week7

Read, Watch, and Discuss: The Ethics of Counting

AT2-C3
Week7

Data Ethics Examples

AT2-C3
Week7

Individual Activity: AT2 and the Data Ethics Canvas

AT2-C3
Week7

Professional Tools: Data Ethics and the ODI Canvas

AT2-C3
Week8

Watch: Open Data

AT2-C1
Week8

Open Data, Data Linkage, and Data Gaps

AT2-C1
Week8

Read: Data Hygiene

AT2-C1
Week8

Read and Watch: Handling Missing Data

AT2-C1
Week8

Professional Tools: Individual Activity: Handling Messy Data

AT2-C1
Week9

Assessment 2 Part B: Quantified Self Project: stories and accounts discovered in data relationships

AT2
Week9

AT2b Peer review

AT2
Week9

Responsible, Accountable, and Explainable AI

AT2-C3
Week9

The ethicalOS: What are the consequences of your data?

AT2-C3
Week9

Professional Tools: The Ethical OS, and Explainable AI

AT2-C3
Week10

Your Questions on legal and ethical issues (submit at least 1 here before class)

AT2-C3
Week10

Ethics and the law

AT2-C3
Week10

Watch and Individual Activity: Innovation and Regulation

AT2-C3
Week10

Watch: Understanding Privacy and the Law

AT2-C3
Week10

Watch and Individual Activity: A History of Privacy and Innovation

AT2-C3
Week11

Watch and Individual Activity: Australian Legislation and Recent Australian context

AT2-C3
Week11

Read and Quiz: The Australian Privacy Principles

AT2-C3
Week11

Watch: Privacy and international innovation

AT2-C3
Week11

Individual Activity: Data Breaches

AT2-C3
Week11

Privacy by Design

AT2-C3
Week11

Read and Watch: Privacy; Deidentification is enough right?

AT2-C3
Week11

Read and Quiz: Identifiable, De-identified, Re-identifiable, and Non-identifiable, data

AT2-C3
Week11

It's not just about privacy, but privacy may protect in some cases

AT2-C3
Week11

Watch: Explainable AI and Legal Context

AT2-C3
Week11

AT2: How will you protect your data?

AT2-C3
Week12

Thought Experiments: The Trolley Problem

AT2-C3
Week12

Dilemmas

AT2-C3
Week12

Ethics and privacy in AT2

AT2-C3
Week12

Beyond DSI

AT2-C4
Week12

Being in a Data Science Team

AT2-C4
Week12

What is TRACK?

AT2-C4
Week12

Data Science Competencies

AT2-C4
Week12

Data Science Roles

AT2-C4
Week12

Before Class: What are your current skills and career goals

AT2-C4
Week12

Data Science Competencies: Self Assessment

AT2-C4
Week12

During Class: Using TRACK-Learner

AT2-C4
WeekNA

REVIEW Assessment 2 Part C: Quantified Self Project: stories and accounts discovered in data relationships

AT2