Requisites: AND Pre-requisite: Industry implementation of equivalent algorithms and data structures. Learning involving programming of non-trivial algorithms and data structures. AND Pre-requisite: [Module SET08122] Algorithms and Data Structures

The module is partly based on the first three sections of “Artificial Intelligence: A Modern Approach” (3rdedition) by Russelland Norvig. The indicative content from the book is as follows:Introduction: What is AI? History of AI and the state of the art.Agents : An introduction to agents, their behaviors and structureSearching: Problem solving by searching, heuristics, local search and optimisation and adversarialsearchConstraint satisfaction problems: defining and solving CSPsLogic: Propositional logic, first-order logic, knowledge representationIn addition to this the module will feature introductions to other AI techniques including neural networks,machine learning and nature inspired methods.

Upon completion of this module you will be able to

LO1: Critically reflect on how AI concepts can underpin problem solving tasks.

LO2: Apply the fundamental concepts and origins of artificial intelligence to solve example problems.

LO3: Choose, compare and implement AI based solutions to problem solving tasks making use of appropriate software tools and libraries.

LO4: Solve example problems using AI techniques.

LO5: Evaluate the effectiveness and appropriateness of specific AI techniques for specific applications.