COSC2960: Applications of AI –

Assignment Task

Course Learning Outcomes Assessed

This assessment supports the following learning outcomes:

1. Identify, analyse, and solve real-world STEM problems using AI approaches, algorithms, and applications.??

2. Explain the foundations, applications, limitations, and future directions of Artificial Intelligence (AI) in Science, Technology, Engineering & Mathematics (STEM).

3. Communicate accurately and collaborate effectively using a variety of tools and techniques specific to the fields of AI and STEM.

Study notes:
To identify and solve real-world STEM problems using AI approaches, it is important to first identify the problem and gather data relevant to the problem. This may involve collecting and cleaning data, selecting appropriate algorithms and models based on the nature of the problem, and implementing and evaluating the results of the AI approach.

In order to explain the foundations, applications, limitations, and future directions of AI in STEM, it is necessary to have a strong understanding of the underlying concepts and technologies that make up AI, as well as the various fields in which AI is being applied. This may involve studying the history and development of AI, learning about different types of AI algorithms and approaches, and exploring the current and potential future uses of AI in various STEM fields.

To communicate accurately and collaborate effectively using tools and techniques specific to AI and STEM, it is important to be proficient in using a range of tools and technologies, such as programming languages and software packages commonly used in AI and STEM. It is also important to be able to effectively communicate technical concepts and ideas to a range of audiences, and to work effectively in a team setting. This may involve using a variety of communication tools and techniques, such as written reports, presentations, and online collaboration platforms.
Assessment Task

The organisation at which you are employed is keen to use Artificial Intelligence to improve an area of work. This area of work might be related to processes, products, or services. However, your organisation is not fully across the range of applications that are currently being used and how these applications are being used to solve problems, or add value to services, processes, or products. Having this knowledge would help it understand how best AI can be used to positively influence its business. To address this gap in knowledge, executive leadership has requested for information on existing applications of AI, how they have helped to solve key challenges in related disciplines and a summary of their limitations.

As a deliverable, your manager has requested a 2,000-word review written for a non-specialist audience that responds to the following question: How is Artificial Intelligence used to solve key challenges in one of the following disciplines:

1. Food Technology and Nutrition

2. Psychology

3. Biomedical Science or Applied Science, in general.

4. Chiropractic or Health Science, in general.

5. Osteopathy or Health Science, in general.

6. Information Technology

7. Engineering

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