This unit is designed to give students an insight into a range of Artificial Intelligence (AI) techniques. AI is an emerging branch of Information and Communication Technology which has created an array of disruptions in multiple industries. The AI techniques leverage the computational power of machines to deal with complex tasks which normally require human intelligence. You will learn the two main streams of AI including Knowledge-Driven AI and Data-Driven AI as well as current advanced AI techniques which have been used by giant tech companies like Google, Amazon, IBM and Microsoft.
With the technologies discussed in the lecture, it brings together the state-of-the-art research and practical techniques in AI, providing students with the knowledge and capacity to conduct AI research and to develop AI applications. Students will have a chance to master advanced AI tools and APIs to explore and specialise his/her understanding, and also be required to use these technologies to develop a system for a AI application.
At the end of this unit, a student should understand the fundamental AI technologies and be able to provide design recommendations for a particular AI application.
|Unit name||Introduction to Artificial Intelligence|
|Faculty/School||College of Sciences and Engineering
School of Information and Communication Technology
|Discipline||Information & Communication Technology|
|Available as student elective?||Yes|
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Explain the fundamental concepts of Artificial Intelligence, its capabilities and limitations
Apply suitable AI techniques to solve theoretical and practical problems
Create AI applications using AI development tools
1 x 60 min lecture weekly, 1 x 120 min workshop weekly
AT1 - test (20%)
AT2 - test (20%)
AT3 - assignment (30%)
AT4 - 2-hour exam (30%)
|Timetable||View the lecture timetable | View the full unit timetable|
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