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Unit Code and Title ICT500 Emerging Technologies

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Added on: 2024-11-23 22:00:16
Order Code: SA Student Neeraj IT Computer Science Assignment(7_23_35071_387)
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Unit Outline

Unit Code and Title ICT500 Emerging Technologies

Course(s) Master of Business

Credit Points 6 Credit Points

Duration 12 Weeks

AQF Level 9

Student Workload Students should expect to spend approximately 120 hours on learning activities across the study period. This includes time spent attending scheduled classes, undertaking individual study and completing assessments.

Mode of Delivery Face-to-face

Pre-Requisites Nil

Name of Unit Coordinator Mel Razmjoo

Contact Information Email: mel@pia.edu.au

Consultation: Refer to your Moodle unit page for your lecturers consultation time.

Unit Description

This unit provides students with an overview of the latest technological developments and their potential impact on society. The course covers a wide range of topics, including artificial intelligence, blockchain technology, augmented and virtual reality, the Internet of Things, and quantum computing. This unit of study will help students learn how new technologies are aligned and implemented within organisations to remain competitive.

Using insights from case studies and real-life examples, students will be able to analyse problems and challenges relating to technological change and design solutions. students will have a solid understanding of the latest technological developments and their potential impact on society. They will be able to critically evaluate new technologies and make informed decisions about their use. This course is ideal for students interested in technology and its impact on society, as well as professionals in the technology industry who want to stay up-to-date with the latest developments.

Unit Learning Outcomes (ULOs)

On successful completion of this unit, students will be able to:

ULO1 Overview of emerging technologies in the ICT field

ULO2 Understanding the impact of emerging technologies on industries and society.

ULO3Analysis of current trends and prospects in emerging technologies

ULO4 Analyse the ethical and legal implications of emerging technologies in business and society.

ULO5 presented innovative thinking and entrepreneurial skills in leveraging emerging technologies for business advancement.

Learning and Teaching Approach

Learning and teaching in this unit apply the Institutes model of providing transformational learning experiences that are student-centred, collaborative, active, reflective, and applied. Key themes embedded into the resources, challenges and assessments are ethical practice, sustainability, evidence-based decision making and real-world applications. Completion of the learning activities for each topic will give students the discipline knowledge and skills required to complete the assessments.

Successful completion of all assessments demonstrates that the unit learning outcomes have been achieved. Additional support to further enhance students academic skills is available from the Academic Enhancement team.

Expectations of Students

You are expected to:

Prepare for scheduled classes by completing assigned activities.

Attend all scheduled classes.

Actively participate in all class activities.

Seek clarification and advice from teaching staff as needed.

Submit assessments on time.

Review and reflect on feedback on assessments and seek clarification about feedback where needed; and

Notify the lecturer if you are unable to attend a class.

Schedule of Learning and Teaching Activities

Topic Number Topic Content

1 Introduction emerging technologies

Emerging technologies in

Artificial intelligence (AI) Introduction to Emerging Technologies

Overview of IT Governance

Overview of Data Governance

Overview of Information Governance

2 Emerging technologies in

Immersive technologies such

as augmented reality (AR),

virtual reality (VR), and

mixed reality (MR). Introduction to Immersive Technologies

Foundations of Augmented Reality (AR)

Foundations of virtual reality

Foundations of mixed reality

3 Emerging Technologies in

Robotics and machine learning Introduction to Robotics

Robot Vision and Image Processing

Robot Ethics and Social Implications

Robot Applications in Industry and Beyond

4 Emerging technologies in 3D

printing & additive manufacturing in the industry Introduction to 3D Printing and Additive Manufacturing

Applications of 3D Printing in Industries

Advances and Emerging Trends in 3D Printing

5 Personal, legal, ethical and social issues. Protecting information.

Privacy and protecting personal information.

Privacy and Data Protection in the Digital Age

Ethical Considerations in Emerging Technologies

Social Impact of Emerging Technologies

6 Emerging technologies

in 5G network Introduction to 5G Networks

Internet of Things (IoT) and 5G

5G Network Security

5G Applications and Use Cases

7 Emerging technologies in IOT (Internet of Things) What is IOT

Evolution of IoT

the key characteristics of IOT

Benefits of IOT

Applications of IoT

8 Emerging Technologies in

Blockchain About Blockchain?

Background of Blockchain.

How does it work?

The Architecture.

Pillars of Blockchain.

characteristics of Blockchain.

Types of Blockchain.

Blockchain Applications.

9 Emerging technologies in

Transport systems such as

Driverless cars Introducing an intelligent transportation system

Understanding vehicle sensing system

Understanding the Future of Transportation

10 Emerging technologies in

health, medicine & biometrics Discussing the importance of healthcare IG

Presenting the concept of mHealth

Overview of AI in Healthcare

Overview of telemedicine

Use of biometrics technologies

11 Emerging technologies in speech recognition & smart speakers Introduction to Speech Recognition

Natural Language Processing (NLP) in Speech Recognition

Evaluation and Performance Metrics for Speech Recognition

Smart Speakers and Voice Assistants

Privacy and Security in Speech Recognition

12 The Future of the Workforce Automation and Robotics in the Workplace

Artificial Intelligence (AI) and Machine Learning in the Workforce

Internet of Things (IoT) and Connected Workplaces

Future Workforce Dynamics and Organizational Adaptation

Assessment Information

Assessment Task Weighting Due Length/ Duration Learning Outcome(s)

Assessment 1: Workshop Activities 30% Weeks 2-11 ULO-1 ULO-2 ULO-3 ULO-4

Assessment 2: Group Assignment

20% report

10%recorded video of the presentation 20%

10% Week 7 1500

words ULO-1 ULO-2

Assessment 3: Individual

Assignment (40%)

30% report and 10% recorded video of the presentation 30%

10% Week 12 2500

words ULO-1 ULO-2 ULO-3 ULO-4

*Detailed information relating to each assessment in the Assessment Block on Moodle.

Grading

Each assessment and the final mark for the unit will be determined as follows:

Mark Grade

0% - 49% Fail

50% - 64% Pass

65% - 74% Credit

75% - 84% Distinction

85% and above High Distinction

Requirements to Pass a Unit

To pass the unit, you must:

Attempt all assessments;

Achieve a minimum of 50% of overall marks; and

Achieve a minimum of 50% of marks in invigilated assessments

Resources

Texts:

Reddy, N 2019, Introduction toCyber Forensics,Practical Cyber Forensics, Apress L. P, United States, pp. 128.

You can refer to topic resources on your Moodle unit page.

Academic Misconduct

Ethical conduct and academic integrity and honesty are fundamental to the mission of PIA and academic misconduct will not be tolerated by the Institute. It is the responsibility of every student to make sure that they understand what constitutes academic misconduct and to refrain from engaging in it. Please refer to the Institutes Academic Integrity and Misconduct Policy for further details.

Changes to Unit Outlines

This Unit Outline may be updated and amended from time to time. Any changes will be notified to students through the Online Learning System (Moodle) for the unit.

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