Durham Learn
Part Two
INTRODUCTION TO Artificial Intelligence
Embark on a fascinating exploration of Artificial Intelligence (AI), a transformative force that reshapes how we live, work, and solve complex problems. This section offers an introduction to AI, demystifying its concepts, technologies, and real-world applications. Designed for those new to the field as well as those looking to deepen their understanding, we cover the foundational elements that make AI one of the most exciting and rapidly evolving areas of study and innovation today.
Artificial Intelligence seeks to create machines capable of intelligent behaviour, from understanding natural language to recognising patterns and making decisions. Through this introductory module, you will gain insights into the history of AI, its development, and its future potential to augment human capabilities across various domains, including healthcare, automation, and beyond.
You will delve into different branches of AI, including machine learning, deep learning, robotics, and natural language processing. We will explore how key algorithms enable machines to learn from data, adapt to new situations, and perform tasks traditionally requiring human intelligence. By understanding the principles and ethical considerations of AI, you'll be better equipped to harness its power responsibly and creatively.
This introduction aims to ignite your curiosity and provide the tools to navigate the complexities of artificial intelligence. As AI continues to advance, the knowledge and skills acquired here will prepare you for the exciting challenges and opportunities that lie ahead in the AI-driven future.
Timetable
Monday 11 Mar 24 | Tuesday 12 Mar 24 | Wednesday 13 Mar 24 | Thursday 14 Mar 24 | Friday 15 Mar 24 | Saturday 16 Mar 24 | |
Asynchronous: Self paced learning facilitated by following the supplied course materials and reading. | 17:30 (IST) 12:00 (GMT) Release of online learning resources for PartTwo. ________________
Milestone 3: Key objectives review | Self paced study | Milestone 4: Key objectives review
Self paced study | Self paced study | Milestone 5: Key objectives review
Self paced study | |
Synchronous: These are the tutor led live sessions. Use the provided Zoom links to join. | 15:00 - 16:30 (IST) 09:30 - 11:00 (GMT)
Workshop 2: Data Science
Zoom (D) classroom link in Part One
| 18:00 - 18:30 (IST) 12:30 - 13:00 (GMT)
Optional drop-in session
Zoom (E) classroom link below | 15:00 - 16:30 (IST) 09:30 - 11:00 (GMT)
Workshop 3: Artificial Intelligence
Zoom (F) classroom link below
Session Presentation (video) Session Discussion (video) | 15:00 - 16:30 (IST) 09:30 - 11:00 (GMT)
Workshop 4: Artificial Intelligence
Zoom (G) classroom link below
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Evaluation / Assessment | Evaluation |
Start your Part two learning
Learning Resources
Click the button below to begin the self-paced learning for Part Two.
ZOOM CLASSROOM LINKS
Zoom (E)
Topic: Optional support drop-in session
Attendance: Optional
Time: Mar 12, 2024 6:00pm (IST) 12:30pm (GMT)
Join Zoom Meeting
https://durhamuniversity.zoom.us/j/97905547288?pwd=WnlLclRtelBhMzZlZFFJVXduNmJadz09
Meeting ID: 979 0554 7288
Passcode: ------
Zoom (F)
Topic: Workshop 3: Artificial Intelligence
Attendance: Required
Time: Mar 13, 2024 3:00pm (IST) 9:30am (GMT)
Join Zoom Meeting
https://durhamuniversity.zoom.us/j/93096854475?pwd=Sy8yTEowcUtQWUZsV3ovY3gwYW8xdz09
Meeting ID: 930 9685 4475
Passcode: ------
Workshop 3 video recording: Workshop 3 Presentation
Workshop 3 video recording: Workshop 3 Discussions
Zoom (G)
Topic: Workshop 4: Artificial Intelligence
Attendance: Required
Time: Mar 15, 2024 3:00pm (IST) 9:30am (GMT)
Join Zoom Meeting
https://durhamuniversity.zoom.us/j/99251506842?pwd=MTlIc3NvTHpYTzREN1lBZm9URXRLZz09
Meeting ID: 992 5150 6842
Passcode: ------
Workshop 4 video recording: Workshop 4 Presentation
