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Stanford University School of Engineering's Free Online Class on Artificial Intelligence
Course description:
This course is 10 weeks long. The in-class version starts Tue, Sept 27. The online version begins Mon, Oct 10, 2011.
The course consists of:
- Approximately 20 lectures. Each lecture includes quizzes that we ask you to do, but which are not counted towards the final grade of this class. Instead, you can see the right answer to each quizz right after submitting your answers;
- Approximately 8 homework assignments. Those are just like our quizzes, and if you do well in the quizzes, you should do well in the assignments. However, we won't show you the correct answer only with a few days delay, to discourage cheating;
- One midterm and one final exam. These are like extended quizzes, covering all subject areas of the course discussed so far. The exams will also check your general knowledge about topics covered in the reading materials (the book).
The central objective is to teach basic methods in AI, and to convey enthusiasm for the field. AI has emerged as one of the most impactful disciplines in science and technology. Google, for example, is massively run on AI. Students passing this course should be proficient basic methods of AI, and have a broad overview of the field.
Instructors:
Professors Peter Novig and Sebastian Thrun took over CS221 from Professor Andrew Y. Ng in 2010. Peter Norvig is author of the celebrated textbook Artificial Intelligence: A Modern Approach. He is also Director of Research at Google. Thrun is well known for his work on robotics and self-driving cars (His team won the DARPA Grand Challenge). Thrun is research professor at Stanford and a Google Fellow. He is one of the youngest individuals ever elected into the National Academy of Engineering (at age 39)
Syllabus
Registration
Add'l classes offered online:
Introduction to Databases
Introduction to Machine Learning
Course description:
This course is 10 weeks long. The in-class version starts Tue, Sept 27. The online version begins Mon, Oct 10, 2011.
The course consists of:
- Approximately 20 lectures. Each lecture includes quizzes that we ask you to do, but which are not counted towards the final grade of this class. Instead, you can see the right answer to each quizz right after submitting your answers;
- Approximately 8 homework assignments. Those are just like our quizzes, and if you do well in the quizzes, you should do well in the assignments. However, we won't show you the correct answer only with a few days delay, to discourage cheating;
- One midterm and one final exam. These are like extended quizzes, covering all subject areas of the course discussed so far. The exams will also check your general knowledge about topics covered in the reading materials (the book).
The central objective is to teach basic methods in AI, and to convey enthusiasm for the field. AI has emerged as one of the most impactful disciplines in science and technology. Google, for example, is massively run on AI. Students passing this course should be proficient basic methods of AI, and have a broad overview of the field.
Instructors:
Professors Peter Novig and Sebastian Thrun took over CS221 from Professor Andrew Y. Ng in 2010. Peter Norvig is author of the celebrated textbook Artificial Intelligence: A Modern Approach. He is also Director of Research at Google. Thrun is well known for his work on robotics and self-driving cars (His team won the DARPA Grand Challenge). Thrun is research professor at Stanford and a Google Fellow. He is one of the youngest individuals ever elected into the National Academy of Engineering (at age 39)
Syllabus
Registration
Add'l classes offered online:
Introduction to Databases
Introduction to Machine Learning
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