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Book of Modules Export
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Faculty:
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Faculty of Science and Engineering
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Department:
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Electronic & Computer Engineering
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Year:
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Semester:
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Graduate:
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Prerequisites:
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________________
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Module Code - Title:
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CE2002 - FOUNDATIONS OF CONVERSATIONAL AI DESIGN
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Year Last Offered:
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2020/1
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Hours Per Week
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Lecture
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Lab
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Tutorial
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Other
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Private
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Credits
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1
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0
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1
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0
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3
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3
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Grading Type:
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Prerequisite Modules:
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Rationale and Purpose of the Module:
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Conversational Artificial Intelligence is the software and processes by which speech is transformed into input for computers and smart devices.
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This module will provide students with a use case based approach to the Design of modern Conversational AI systems.
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Syllabus:
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Requirements analysis for systems that are based on Human Computer Spoken word interaction
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Conversation flow design. The fundamental components of a conversation tree. Branch and bound techniques.
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Use case based example CAI specification that classifies Agents, Intents, Entities, Contexts, Interactions, reasoning and responses in enterprise level Conversational AI, (CAI) ecosystems. Scripted versus CAI systems for Human Computer spoken word interaction.
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Students will build a functioning CAI system using an enterprise level design tool. Students will be required to implement a Conceive Design Implement Operate (CDIO) approach to the construction of their CAI system,
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Learning Outcomes:
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Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis)
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On successful completion of this module, students will be able to:
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Design a functional conversation narrative that can be successfully implemented in a Conversational AI (CAI) use case.
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Build a basic CAI application using an enterprise level design tool.
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Determine the individual component subsystems of a CAI design.
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Affective (Attitudes and Values)
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On successful completion of this module, students will be able to:
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