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Mae Adam yn Athro Cyswllt yn y Chyfrifiadureg.
Mae Adam yn Athro Cyswllt yn y Chyfrifiadureg.
CSC325 is an introduction to Artificial Intelligence, focusing primarily on reasoning and problem solving as a search for a solution rather than on statistical techniques for classification. The course may cover topics from amongst: search techniques; knowledge representation and expert systems; planning; scheduling; qualitative reasoning; language processing with grammar rules; and meta-programming, as well as agents, multi-agent systems, and agent collaboration.
This module explores state-of-the-art methods and concepts to assist responsible design and development of technology with the aim of creating reliable and trusted systems. The content of this module will be delivered by expert lecturers and practitioners in the areas of trusted computation, bias and explainability in automated decision making and decision support, ethical considerations for AI, argumentation and negotiation, as well as formal methods, such as verification of critical systems.
This module provides the rationale and approaches to shaping system design with humans in mind. It gives an overview of the main topics in Human-Computer Interaction (HCI) and details a plethora of components including data structures and architectures that can be used in the construction of usable interactive systems. Students will be exposed to the fundamental concepts of HCI as well as learning by example from seminal research and state-of-the-art examples. Specific focus will be given to core human-centred approaches such as iterative design and running, analysing and interpreting data from user evaluations. Students will also be taught the basics of research methods for computer science, including how to construct research questions, critically analyse research papers, write literature reviews, perform presentations and write in a scientific manner.