TECH3200 Artificial Intelligence and Machine Learning in IT

Your Task

Your first assessment requires you to apply the concepts learnt during the first four weeks of the subject, as well as researching the supplied references in this document.

Assessment Description

The slide deck is an individual PowerPoint presentation explaining some concepts learnt related to AI/ML. You are expected to research the supplied references and review workshop slides to develop a good understanding of the different types of ML algorithms and the applications, especially how they are going to support the business.

The learning outcomes you will demonstrate in performing this assessment includes:

Assessment Instructions PowerPoint Structure

You are required to create an individual slide deck with dot points and illustrations as per the following:

1. Slide 1: Cover page

   1. The title of the assessment, your name, student ID and date.

2. Slide 2 - 3 Industry 4.0

   1. Characteristics of industry 4.0
   2. How industry 4.0 differs from industry 3.0
   3. Reading:
      • Workshop 1

3. Slide 4 – 5 Fundamentals of AI and ML

   1. Briefly describe what AI and ML are respectively with an example for each
   2. The relationship between AI and ML
   3. Reading:
      • Workshop 2

4. Slide 6 – 10 Types of Machine Learning

   1. Supervised learning
      • What the common algorithms are
      • Provide an example of how supervised learning is being used in business
   2. Unsupervised learning
      • What the common algorithms are
      • Provide an example of how unsupervised learning is being used in business
   3. Major difference between Supervised learning and Unsupervised learning
   4. Reading:
      • Workshop 3 and 4
      • https://theappsolutions.com/blog/development/supervised-machine-learning/
      • https://theappsolutions.com/blog/development/unsupervised-machine-learning/
      • https://www.guru99.com/supervised-vs-unsupervised-learning.html

5. Slide 11 - 12 Python Libraries in Machine Learning

   1. Research and contrast three Python libraries that are used in Machine Learning
   2. Reading:
      • https://www.coursera.org/articles/python-machine-learning-library
      • https://www.springboard.com/blog/data-science/python-libraries-for-machine- learning/
      • https://www.spiceworks.com/tech/artificial-intelligence/articles/top-python- machine-learning-libraries/

6. Slide 13 Reference

   1. Add your references (at least 5) in this slide using any professional and consistent styling.

Submission Instructions

• Name your document “Assessment 1_[Student ID]”
• Save it as a PPT or PDF document format

Important Study Information

Academic Integrity and Conduct Policy

KBS values academic integrity. All students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Academic Integrity and Conduct Policy.

Please read the policy to learn the answers to these questions:

• What is academic integrity and misconduct?
• What are the penalties for academic misconduct?
• How can I appeal my grade?

Late submission of assignments (within the Assessment Policy)

Length Limits for Assessments

Penalties may be applied for assessment submissions that exceed prescribed limits.

Study Assistance

Students may seek study assistance from their local Academic Learning Advisor or refer to the resources on the Centre page. Further details can be accessed