ISO8009 : Artificial Intelligence in Modern Organisation (Inactive)
- Inactive for Year: 2025/26
- Module Leader(s): Dr Davit Marikyan
- Owning School: Newcastle University Business School
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 1 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
| European Credit Transfer System | |
Aims
This module is designed to provide students with an in-depth understanding of the implications that the adoption and acceptance of artificial intelligence (AI) can have and their significant impact on the business world. The module's objective is to offer students with a foundational understanding of AI in the business sector, emphasising the ethical and societal dimensions of AI implementation. It aims to provide insights into how AI can reshape strategies, business models and operations, enhance decision-making, and drive innovation. The course will also explore the interactions between AI and human workers, the governance of AI, and the anticipation of future technological trends. Such a comprehensive and holistic approach will help student better prepare for ever-evolving AI landscape.
Outline Of Syllabus
The module will cover topics such as:
• Introduction to Artificial Intelligence in Business
• Ethical and Societal Implications of AI Adoption/Acceptance
• AI Strategy and Business Model Innovation
• AI Applications in Business Operations
• AI in Marketing and Customer Experience
• AI-driven Innovation and Product Development
• Human-AI Collaboration and Workforce Transformation
• AI Governance and Responsible Innovation
• Future Trends and Emerging Technologies
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Guided Independent Study | Assessment preparation and completion | 1 | 21:00 | 21:00 | N/A |
| Scheduled Learning And Teaching Activities | Lecture | 9 | 2:00 | 18:00 | Lectures |
| Scheduled Learning And Teaching Activities | Small group teaching | 1 | 1:00 | 1:00 | Assessment clinics / formative feedback |
| Guided Independent Study | Independent study | 1 | 60:00 | 60:00 | N/A |
| Total | 100:00 |
Teaching Rationale And Relationship
The lectures will focus on developing student knowledge in the topics discussed. These will be complemented by
relevant case studies and guest talks. Students will be expected to carry out directed reading and independent
studies where appropriate.
Assessment Methods
The format of resits will be determined by the Board of Examiners
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Essay | 1 | M | 100 | 2000-word essay |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Essay | 1 | M | Knowledge and application skills assessment - Feedback on resources, presentation and plan to support the key arguments will be provided throughout the module and during dedicated sessions |
Assessment Rationale And Relationship
The essay will assess the students’ grasp of AI adoption and acceptance challenges and opportunities in a business case study of their choice. Students will need to undertake the necessary background research to identify the latest key articles related to their topics, synthesise them and present their arguments accordingly. Formative feedback will be given throughout the module.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- ISO8009's Timetable