| Category | Assignment | Subject | Business |
|---|---|---|---|
| University | Manchester Metropolitan University | Module Title | 5K7V0024 AI and Machine Learning: Business Application |
| Academic Year | 2025/26 |
|---|
For this assignment, you need to prepare several 10 up to 12 slides and make an individual oral presentation recording, which should include the following:
Explain what AI is, distinguishing between the main categories of machine learning, and giving examples of practical applications in each category.
Implement a simple classification machine learning algorithm.
Evaluate the possible benefits of potential machine learning approaches to solving a range of business problems, considering risk and ethics.
This is an individual assignment to be completed in the format of pre-recorded “oral presentation”. Students are required to prepare a number of 10 up to 12 PPT slides and make an individual oral presentation recording, to
- summarise the main categories of machine learning and AI techniques (1 to 2 slides)
- explore their typical business applications (1 to 2 slides), and
- describe in detail the implementation of relevant machine learning techniques to address a self-selected business case study (6 to 8 slides).
In the business case study, you, as a Business Analyst, should aim to develop a data analytics solution for a chosen opportunity to use machine learning and AI techniques to support business decision making. The presentation slides should cover the following main areas:
Define the scope and objective of the business case,
Describe the key data sources and data elements needed for the business case,
Describe in detail how appropriate machine learning and AI techniques can be applied to achieve the business objective,
Discuss the possible ways in which the machine learning models can be evaluated against the business objective,
Explain how the analytical results can be used to inform business decision making, and
Explore any ethical and legal considerations that may be relevant when considering the implementation of the data analytics solution.
Do You Need 5K7V0024 Assignment of This Question
Order Non Plagiarized AssignmentPlease refer to the Marking Rubric (below). This outlines how your work will be classified and what the determinants are for each band. The Marking Rubric is how your grades will be determined against the marking criteria. The institution utilises a step marking scheme where marks end in a 2, 5, or 8 accordingly.
|
Mark |
PGT Classification |
|
95-100% |
Distinction |
|
90% |
|
|
85% |
|
|
80% |
|
|
75% |
|
|
72% |
Marginal Distinction |
|
68% |
Merit |
|
65% |
|
|
62% |
|
|
58% |
|
|
55% |
|
|
52% |
Marginal pass |
|
48% |
Marginal Fail |
|
45% |
|
|
42% |
|
|
38% |
Fail |
|
35% |
|
|
32% |
|
|
28% |
|
|
25% |
|
|
22% |
|
|
18% |
|
|
15% |
|
|
12% |
|
|
8% |
|
|
5% |
|
|
2% |
|
|
0% |
Non Submission |
|
Assessment descriptor |
0-19% |
20-29% |
30-39% |
40-49% |
50-59% |
60-69% |
70-79% |
80-89% |
90-100% |
|
PLO1. Summarise the main categories of machine learning and AI techniques. (15%) |
No attempt has been made to summarise the main categories of machine learning and AI techniques. |
Severely inadequate attempt has been made to summarise the main categories of machine learning and AI techniques. |
Inadequate attempt has been made to summarise the main categories of machine learning and AI techniques. |
Relevant but limited use of information to summarise the main categories of machine learning and AI techniques. |
Good use of information to summarise the main categories of machine learning and AI techniques. |
Very good use of information to summarise the main categories of machine learning and AI techniques. |
Excellent use of information to summarise the main categories of machine learning and AI techniques. |
Outstanding use of information to summarise the main categories of machine learning and AI techniques. |
Exceptional use of information to summarise the main categories of machine learning and AI techniques. |
|
PLO2. Explore typical business applications of machine learning and AI. (15%) |
No attempt has been made to explore typical business applications of machine learning and AI. |
Severely inadequate attempt has been made to explore typical business applications of machine learning and AI. |
Inadequate attempt has been made to explore typical business applications of machine learning and AI. |
Relevant but limited use of information and evidence to explore typical business applications of machine learning and AI. |
Good use of information and evidence to explore typical business applications of machine learning and AI. |
Very good use of information and evidence to explore typical business applications of machine learning and AI. |
Excellent use of information and evidence to explore typical business applications of machine learning and AI. |
Outstanding use of information and evidence to explore typical business applications of machine learning and AI. |
Exceptional use of information and evidence to explore typical business applications of machine learning and AI. |
|
PLO3. Detail the implementation of relevant machine learning techniques to address a self-selected business analytics case. (50%) |
Your data analytics case study is profoundly inadequate. |
Your data analytics case study is severely inadequate. |
Your data analytics case study is inadequate. It demonstrates only a basic awareness of machine learning and AI techniques. |
Your data analytics case study demonstrates relevant but limited knowledge and skills on machine learning and AI techniques. |
Your data analytics case study demonstrates sufficient knowledge and skills on machine learning and AI techniques. |
Your data analytics case study is very good. It demonstrates strong knowledge and skills on machine learning and AI techniques. |
Your data analytics case study is excellent. It demonstrates very strong knowledge and skills on machine learning and AI techniques. |
Your data analytics case study is outstanding. It demonstrates a very high level of understanding, knowledge and skills on machine learning and AI techniques. |
Your data analytics case study is exceptional. It demonstrates very advanced knowledge and a very advanced ability to integrate the full range of machine learning and AI techniques. |
|
PLO4. Quality of content, structure, and presentation. (20%) |
Profoundly inadequate quality of content, structure, and presentation. |
Severely inadequate quality of content, structure, and presentation. |
Inadequate quality of content, structure, and presentation. |
Relatively low quality of content, structure, and presentation. |
Good quality of content, structure, and presentation. |
Very good quality of content, structure, and presentation. |
Excellent quality of content, structure, and presentation. |
Outstanding quality of content, structure, and presentation. |
Exceptional quality of content, structure, and presentation. |
Buy Answer of 5K7V0024 Assignment & Raise Your Grades
Pay & Buy Non Plagiarized AssignmentAre you in trouble finding solutions for the 5K7V0024 AI and Machine Learning: Business Application Assignment? Our online assignment help is here to assist you! We provide top-notch report writing service and dedicated business management assignment help tailored to your needs. Enjoy the peace of mind that comes with 100% human-written assignments, with no AI involvement, guaranteeing A+ results, on-time delivery, and plagiarism-free content. Enjoy affordable, high-quality services designed specifically for UK students aiming for academic excellence!
See the solution of this brief click on 5K7V0024 Assignment Sample
Let's Book Your Work with Our Expert and Get High-Quality Content
