BUS7028 Fundamentals of Man made Intelligence Project 2026 | Arden University QUALITY ASSURANCE DOCUMENT QA40 – MODULE

BUS7028 Fundamentals of Man made Intelligence Project 2026 | Arden University

QUALITY ASSURANCE DOCUMENT QA40 – MODULE SPECIFICATION

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1. Module Title Fundamentals of Man made Intelligence
2. Module Code BUS7028
3. Module Leader Dr. Feng Jiao
4. Stage 7
5. Credits 20
6. Pre-requisite Module(s) None
7. Arena Station Enterprise
8. Campus/Situation All BL centres, DL
9. Mode of Transport DL, BL, APP
10. Birth Date 30/10/21

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11. Module Targets Introduction In on the present time’s dynamic industry atmosphere, Man made Intelligence (AI) is revolutionising how firms just and put choices. This module is customized for senior managers, focusing on non-technical aspects of AI to permit informed resolution-making and strategic planning. It will duvet the moral exercise of AI, its functions in industry, and the device in which AI integrates with cloud-based entirely mostly solutions.PurposeThe goal of this module is to present senior managers with a basic working out of AI. Alongside conserving its strategic functions in industry, this is in a position to perhaps furthermore emphasise the importance of ethical concerns and the integration of AI with cloud applied sciences to force innovation and efficiency.
12. Reference factors This MDF became compiled per the QAA Enterprise and Management Masters’ Benchmark Observation 2023 (class 1 level), the QAA Quality Code (2018), FHEQ L7 and the standards space by the PSRBs detailed in piece 13.
13. Legitimate, Statutory & Regulatory Our bodies (PSRB) Outline acclaim for knowledgeable accreditation has been secured from:• Chartered Management Institute (CMI)• Chartered Institute of Logistics & Transport (MSc Offer Chain Management)• Association of Mission Management (MSc Mission Management)• Mission Management Institute (MSc Mission Management)• Chartered Institute of Advertising and marketing and marketing (MSc Strategic Advertising and marketing and marketing)• The Institute of Management (ILM)

Module Learning and Teaching knowledge

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14. Module Learning Outcomes
15. Learning and Teaching Targets
The module LOs will be completed by strategy of:1. Belief the basics of AI and making exercise of them by strategy of the usage of case analysis, excellent workout routines, instrument appraisal and reflection (LO 1, 2, 3, 4, 5)2. Assessing and evaluating the impact of challenges associated with AI operations utilizing case analysis, subject planning and community workout routines (LO2, 3,4)3. Exploring mountainous information devices and AI utilizing case analysis and instrument solutions (LO3, 4)4. Designing acceptable mission solutions to meet the challenges of the contemporary organisational atmosphere including AI and mountainous information analytics services (LO3, 4)5. Analysis of versatile cloud storage fashions with dynamic scaling by technique of emergent traits (LO2, 4, 5).
16. Module Enlighten material
The module covers the following subject areas:• Man made Intelligence fundamentals    • Historical previous and evolution of AI    • Forms of AI    • Figuring out AI opportunities and exercise cases    • AI Capabilities in Enterprise    • Recordsdata Management for AI    • AI Implementation Recommendations    • Practicing and pattern for AI abilities    • Managing cultural shifts due to AI integration    • Chance Management in AI• Ethics of Man made Intelligence• Recordsdata, databases and analytics• Mountainous Recordsdata storage and administration• Cloud computing fundamentals, frameworks and functions• Alternatives structure and X-as-a-service    • AI integration ethics, risks, mitigation and sustainability targets
17. Learning Activities

The module will be delivered by strategy of a series on on-line activities conducted by the tutor. These will also consist of:

  • on-line discussions, webinars and workout routines
  • industry simulation
  • instrument e-based entirely mostly workout routines and reflections
  • community based entirely mostly workout routines and stare assessments
  • case witness analysis and reflection, including application to the student’s atmosphere
  • stare to notion instructing and learning
Long-established formative feedback will be equipped in the center of the module in the class (BL supply) and in on-line sessions (DL supply). Formative feedback will furthermore be equipped in dialogue forums, on-line workout routines and community activities.
Particular Formative Feedback
There’ll be one piece of particular particular person evaluate. Particular formative evaluate opportunities will furthermore be equipped with regards to the summative evaluate. The tutor will discover about an overview draft shared by strategy of a link and present detailed developmental feedback no longer lower than 2 weeks sooner than summative submission.
Formative Analysis for College of Management and Management academic programmes
utilizing this module per CIM, ILM requirements will have the following formative job:
College students will be ready to compose one-A4 page draft notion of their project- Presentation & Poster for tutor feedback in week 6 or earlier if agreed by the tutor.
Formative Analysis for Apprenticeship college students
Apprenticeship college students will be ready to publish a work in progress draft to the lecturer for a overview for enchancment at some stage in week 6.

Module Analysis (Summative assessments simplest.)

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18. Module Analysis

Analysis Kind Weighting % Swish Grade or Pass/Fail Learning Outcomes Assessed

Ingredient 1: PR Diagnostic Multimedia Presentation (Project 1–2)

(Person with speaker notes (Max 1000 phrases for speaker notes))

30% FG LO 1,2,5 (Wk10)

Ingredient 2: PSTR

Person “Work Product-Poster” (Project 3 – Project 4) (1000 phrases)

70% FG LO 3,4,5 (Wk10)

Analysis Description

Ingredient 1: Person job, Presentation, maximum 1000 phrases, 30% Each and every Student will produce a PowerPoint file, identical to a 7-minute presentation, utilizing text, audio, photos, animations, or video including speaker notes. The presentation will also simply level-headed specify a strategic organisational subject which will also be solved by making exercise of a cloud-based entirely mostly AI transformation in an organisation of quite loads of or exercise a tutor equipped case witness (30%, maximum 1,000 phrases).Apprentice college students must exercise their very have organisation on this piece.To substantiate basically the most fascinating doable outcome, it is miles crucial for the student to desire an organisation that they are conversant in or have a enthusiastic ardour in. It will permit them to present a presentation that is every insightful and informative, highlighting basically the predominant strategic organisational disorders faced by the organisation.

Ingredient 2: Person job, Poster, maximum 1000 phrases, 70% College students will also simply level-headed replicate upon their presentation to personally draft a poster conserving a change notion that exercise AI based entirely mostly cloud resolution relevant to an organisation of the student’s different (for apprenticeship college students- their very have office). (1000 phrases).The notion equipped in the poster must simultaneously be academically credible and furthermore standalone as a viable organisational work product. College students will be expected to device upon relevant academic theories and fashions, ideas of AI including ethics and sustainability targets; further replicate upon their experiences in the industry simulations (if feeble) and overview the usage of relevant skills and instrument. Add further rows for assessments that consist of more than one parts Acceptable to multipart assessments simplest To scuttle this module, college students are required to accomplish a impress of fifty% (PGT).

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