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Artificial intelligence algorithms not only makes your cars safer and shopping easier but increasingly diagnose patients and help you to take the right decisions when caring the patients. The [course_title] illustrates a general overview of artificial intelligence and its applications to problems of medical diagnosis, therapy selection, and monitoring and learning from databases. You will also learn about machine learning, diagnostic reasoning, logic, logic programming, CSP and games, and language understanding.


This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


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Course Credit: MIT

Course Curriculum

Module 01
Chapter 1: Introduction 00:10:00
Chapter 2: Search 1 00:40:00
Chapter 2: Search 2 00:30:00
Chapter 2: Search 3 00:40:00
Chapter 3: CSP and Games 1 00:40:00
Chapter 3: CSP and Games 2 00:20:00
Chapter 4: Learning Introduction 01:00:00
Chapter 5: Machine Learning I 00:40:00
Chapter 6: Machine Learning II 00:50:00
Chapter 7: Machine Learning III 00:50:00
Module 02
Chapter 8: Machine Learning IV 01:00:00
Chapter 9: Logic I a 00:50:00
Chapter 9: Logic I b 01:00:00
Chapter 10: Logic II a 01:00:00
Chapter 10: Logic II b 01:00:00
Chapter 11: Logic Programming 00:40:00
Chapter 12: Language Understanding 1 01:00:00
Chapter 12: Language Understanding 2 00:30:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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