AI for Project Managers

AI for Project Managers provides an opportunity for students to understand the significance of the role of Artificial Intelligence in projects.  The module would enable students to learn about, and practice, key activities such as planning, visualising and analysing project data effectively.

The module begins by introducing students to the latest developments in AI, emphasising its prevalence within the project context.  Key AI concepts will be reviewed, a selection of AI tools and relevant plug-ins will be demonstrated.  Students will be taught how to integrate AI in every stage of the project life cycle from Initiation to project Closure. Throughout the module students will consider how AI can be used for knowledge extraction, task automation, scenario analysis, performance analytics, predictive analysis, resource allocation, workflow optimisation, adaptive/dynamic scheduling, cost optimisation and communication.  Students will learn processes and strategies for effective data structuring and prompt engineering. Moreover, students will be introduced to the various aspects surrounding the use of AI tools in an ethical and compliant manner.

Finally, the module will review the challenges and limitations of using AI tools for project management, preparing students with the capabilities and level of awareness they need to navigate the project management graduate market successfully.

At the end of this module the student will be able to:

• Understand AI concepts in the context of project management.
• Integrate AI in every stage of the project life cycle from Initiation to project closure.
• Leverage prompt engineering to boost project productivity.
• Ethically use AI tools for a range of tasks such as workflow optimisation, predictive analysis, extraction and visualisation of project data to make informed decisions.

This is an SCQF Level 11 module and upon successful completion, participants will be awarded 20 credits.

To view the module descriptor, please visit Programme Specifications and Module Descriptors 

 

Delivery

This module will be delivered at the Paisley campus.  Timetable to be confirmed.

 

Course presenter

This module will be delivered by Dr Mohammad Alselek.

 

Funding

This course may be available on a fully funded basis to some delegates.  Further details, including regarding eligibility, are available under Funding Support.

If you have any questions, please contact us at cpd@uws.ac.uk. 

 

NOTE: This is a university module and upon approval of your application, you will be invited to register and then supported to complete enrolment. To enrol on the university system, the first step involves security set-up using the Microsoft Authenticator app; you will need to ensure that you have a compatible smartphone.

Further enrolment information is available at the Student Information Portal.

To access this module via the CPD route, individuals should be ordinarily resident in Scotland.