| 1 | <p>Understand what a multi-agent system (MAS) is and when they are useful</p> | <p>BSc(Hons) - Bachelor of Science (Honours) - Graduate Profile <p><strong style="color: rgb(73, 80, 87);">Knowledge and Practice</strong></p> </p> |
| 2 | <p>Read and critically evaluate technical papers</p> | <p>BSc(Hons) - Bachelor of Science (Honours) - Graduate Profile <p><strong style="color: rgb(73, 80, 87);">Knowledge and Practice</strong></p><p><strong style="color: rgb(73, 80, 87);">Critical Thinking</strong></p> </p> |
| 3 | <p>Explain important challenges of MAS such as coordination and cooperation</p> | <p>BSc(Hons) - Bachelor of Science (Honours) - Graduate Profile <p><strong style="color: rgb(73, 80, 87);">Knowledge and Practice</strong></p><p><strong style="color: rgb(73, 80, 87);">Solution-Seeking</strong></p><p><strong style="color: rgb(73, 80, 87);">Communication</strong></p> </p> |
| 4 | <p>Apply techniques from deep learning in the context of agent-based systems</p> | <p>BSc(Hons) - Bachelor of Science (Honours) - Graduate Profile <p><strong style="color: rgb(73, 80, 87);">Knowledge and Practice</strong></p><p><strong style="color: rgb(73, 80, 87);">Solution-Seeking</strong></p><p><strong style="color: rgb(73, 80, 87);">Collaboration</strong></p> </p> |
| 5 | <p>Paraphrase and summarise MAS scenarios using the language of game theory</p> | <p>BSc(Hons) - Bachelor of Science (Honours) - Graduate Profile <p><strong style="color: rgb(73, 80, 87);">Knowledge and Practice</strong></p><p><strong style="color: rgb(73, 80, 87);">Communication</strong></p> </p> |
| 6 | <p>Understand and critically evaluate current research papers in Agent Systems, Deep Learning and Heuristic Search</p> | <p>BSc(Hons) - Bachelor of Science (Honours) - Graduate Profile <p><strong style="color: rgb(73, 80, 87);">Knowledge and Practice</strong></p><p><strong style="color: rgb(73, 80, 87);">Communication</strong></p><p><strong style="color: rgb(73, 80, 87);">Collaboration</strong></p> </p> |
| 7 | <p>Understand and critically evaluate the tradeoffs involved in using current agent systems techniques to reduce the problem space sizes</p> | <p>BSc(Hons) - Bachelor of Science (Honours) - Graduate Profile <p><strong style="color: rgb(73, 80, 87);">Critical Thinking</strong></p><p><strong style="color: rgb(73, 80, 87);">Solution-Seeking</strong></p><p><strong style="color: rgb(73, 80, 87);">Ethics and Professionalism</strong></p> </p> |
| 8 | <p>Create domain-specific prototypes of agent-based systems</p> | <p>BSc(Hons) - Bachelor of Science (Honours) - Graduate Profile <p><strong style="color: rgb(73, 80, 87);">Knowledge and Practice</strong></p><p><strong style="color: rgb(73, 80, 87);">Solution-Seeking</strong></p><p><strong style="color: rgb(73, 80, 87);">Collaboration</strong></p> </p> |
| 9 | <p>Understand and critically evaluate the tradeoffs involved in creating agent, multi-agent, and mixed human agent systems</p> | <p>BSc(Hons) - Bachelor of Science (Honours) - Graduate Profile <p><strong style="color: rgb(73, 80, 87);">Knowledge and Practice</strong></p><p><strong style="color: rgb(73, 80, 87);">Critical Thinking</strong></p><p><strong style="color: rgb(73, 80, 87);">Communication</strong></p><p><strong style="color: rgb(73, 80, 87);">Ethics and Professionalism</strong></p> </p> |
| 10 | <p>Present problems in PDDL, a standard language for describing explicit symbolic planning problems</p> | <p>BSc(Hons) - Bachelor of Science (Honours) - Graduate Profile <p><strong style="color: rgb(73, 80, 87);">Knowledge and Practice</strong></p><p><strong style="color: rgb(73, 80, 87);">Communication</strong></p> </p> |