Venue Parking

You will be able to validate your parking at the venue when you arrive.  Please visit the DSET Reception Desk in the Expo Hall on the Ground Floor Concourse to do this.

Free spaces are limited and subject to availability.

Pay & Display car parking is available at the venue but cannot be guaranteed.

Spaces can be booked in advance at www.yourparkingspace.co.uk

Disabled parking is also available.

To avoid fines, please check your vehicle for the Bristol Clean Air Zone charge:

https://www.bristol.gov.uk/residents/streets-travel/bristols-caz/charges-and-vehicle-checker

Morning Session: Foundations of M&S

• Introduction to Analysis, Modelling, and Simulation (AMS): Overview and importance in Defence.

• Definitions, standards, and roles of M&S in decision-making, training, and analysis.

Afternoon Session: Ethical and Regulatory Framework

• Discussion on ethical, legal, and compliance aspects in M&S.

• Workshop on the development and application of standards in M&S projects.

Speakers: Steve Yates _Simulation and Training Capability Lead @ QinetiQ & Wim Huiskamp_ Scientific Advisor at NATO Modelling and Simulation Group (NMSG)

Morning Session: Research Methodologies and Experimental Design

• Deep dive into AMS research methodologies, data collection, and analysis.

• Principles and importance of experimental design in M&S.

Afternoon Session: AI and Digital Twins in M&S

• Introduction to emerging technologies: AI and Digital Twins.

• Practical exercises on Applying statistical analysis and integrating AI in M&S for Defence applications.

Speakers: Dr. Tjeerd Olde Sheper & Marryam Chaudhry_ CEO - XR 2 LEAD (AI/ML, Digital Twins, AR/VR, Predictive Maintenance)

Morning Session: Systems Approach in M&S

• Understanding the systems approach in modelling: Applicability and benefits. Group discussion on the challenges and limitations of the systems approach. 

• Security 

Afternoon Session: Developing AI Models and Digital Twins

• Workshop on the design and development of AI models and Digital Twins for Defence applications.

• Hands-on session using simulation software to create basic models.

Speakers: Professor Fabio Cuzzolin & Taja Hillier_Director of Data Intelligence @ Mission Decisions Limited

Morning Session: Overview of Simulation Technologies

• Comprehensive overview of live, constructive, and virtual simulation technologies.

• Group discussion on selecting the appropriate simulation technology for various Defence scenarios.

Afternoon Session: Hands-on Simulation Exercises

• Participants engage in simulation exercises tailored to Defence applications.

• Feedback and review session on the exercises, discussing implementation challenges and solutions.

Speakers: Dr. Inna Skarga-Bandurova & Hannah Smith @MOD | Training, Simulation, Synthetic Environments

Morning Session: The Future of M&S in Defence

• Discussions on emerging trends and technologies in M&S.

• Exploration of the potential future impact of M&S on Defence strategies and operations.

Afternoon Session: Recap, Discussion, and Feedback

• Recap of key concepts covered throughout the course.

• Open discussion forum for participants to share insights, ask questions, and provide feedback on the course.

• Presentation of certificates for CPD participants and closure of the module.

Speakers: Karl Kjelstrup-Johnson & Alan Roan Managing Director @ Cervus Defence 

Problem Definition: Task set which requires participants to develop a response 

Weekly Online delivery Supervision Sessions: 

• Flipped classroom format weekly touch base with assigned supervisor. Potential to run as group work. 

• The participants will have access to an online platform which will provide suitable material such as lectures, literature, tasks and collaborative forums offering a peer-to-peer learning environment, and the ability to communicate between participants and with academic supervisors and industry mentors. 

• Participants will be required to respond to tasks directly on the platform allowing for continued assessment and progress analysis offering clear visibility into the performance of each participant at key junctures through the course.

Final Presentation:  The participant will be required to present to a panel of academic supervisors and industry mentors who will assess performance against learning outcomes and provide feedback to the participant.

Final Report: The participant will be required to complete and submit a final report. This will be a record of all work completed and responses to final presentation feedback including recommendations for future work.

Knowledge and Skills Learning Outcomes Assessed

Knowledge Learning Outcomes:

1. Foundational AMS Concepts: Understand fundamental AMS roles, concepts, and applications across various domains, adaptable to specific theme requirements.

2. Methodology Selection and Adaptation: Learn to select and apply qualitative and quantitative AMS techniques, including AI and machine learning, tailored to theme-specific problems.

3. Systems Approach Flexibility: Acquire knowledge on the flexibility of systems approaches in AMS, understanding their benefits, limitations, and integration into broader methodological designs.

4. Simulation Technology Integration: Understand the integration of live, constructive, and virtual simulation technologies in AMS, tailored to specific theme needs.

5. Sustainability and Long-term Impact Consideration: Comprehension of the long-term impacts and sustainability considerations in AMS, especially in terms of environmental, social, and economic factors.

Skills Learning Outcomes:

1. Demonstration of AMS Utility: Ability to articulate the relevance and utility of AMS in theme-specific problem-solving.

2. Conceptual Modeling and Interpretation: Develop and interpret conceptual models for AMS, ensuring relevance to theme-specific problems and stakeholder needs.

3. Application of Systems Thinking: Apply systems thinking in AMS, recognizing system boundaries, stakeholders, and context tailored to thematic needs.

4. Effective AMS Communication: Communicate AMS concepts and findings clearly, adapting to different stakeholder groups and theme-specific contexts.

5. Sustainable AMS Solution Development: Ability to develop AMS solutions with a focus on sustainability, considering long-term impacts and promoting environmental, social, and economic well-being.