Artificial Intelligence Planning

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7/10 stars
based on  5 reviews
Provided by:
Cost FREE
Start Date TBA

Course Details

Cost

FREE

Upcoming Schedule

  • TBA

Course Provider

Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4433 reviews

Course Description

The course aims to provide a foundation in artificial intelligence techniques for planning, with an overview of the wide spectrum of different problems and approaches, including their underlying theory and their applications.
Reviews 7/10 stars
5 Reviews for Artificial Intelligence Planning

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

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nml profile image
nml profile image
7/10 starsCompleted
  • 12 reviews
  • 12 completed
4 years, 5 months ago
Strange, but not bad course. There were 3 levels of completion. Awareness - which you can get from watching videos about basics of planning, and its usage in real world. This videos were really boring and, unfortunately, needed to complete higher levels of completions. Exam part of this was multiple choice test. Foundation - knowledge of using algorithms presented in lectures, like A*, planning in STRIPS etc. Lectures that weren't about awareness level were much more substantial and interesting, than others. Exam part for this part was not-multiple choice test, where you need to simulate some algorithms. Like stating what nodes would search A* algorithm in gives case. If you have experience on AI or just programming it shouldn't be too difficult too you. Performance - there were programming assignments in which you were to implement simple cases of algorithms mentioned in lecture. Language was free to choose. On one hand it is a good... Strange, but not bad course. There were 3 levels of completion. Awareness - which you can get from watching videos about basics of planning, and its usage in real world. This videos were really boring and, unfortunately, needed to complete higher levels of completions. Exam part of this was multiple choice test. Foundation - knowledge of using algorithms presented in lectures, like A*, planning in STRIPS etc. Lectures that weren't about awareness level were much more substantial and interesting, than others. Exam part for this part was not-multiple choice test, where you need to simulate some algorithms. Like stating what nodes would search A* algorithm in gives case. If you have experience on AI or just programming it shouldn't be too difficult too you. Performance - there were programming assignments in which you were to implement simple cases of algorithms mentioned in lecture. Language was free to choose. On one hand it is a good thing, on the other hand it limits possibilities of how to test whether you should get point. Sending code like in Scala course is rather out of question, so it took form of asking similar questions like in Foundation part, but which were too difficult to answer without using program. To complete each stage, you had to pass previous stage, which was frustrating when you wanted just to program things. Staff response on forum also could have been a bit quicker. I think that course would be better if there would be option for those who takes programming path to gain points on more advanced assignments instead of taking previous levels. And maybe there could be at least one part where you wouldn't have choice in programming language, but there would be grading similar to that in Scala course. Before taking Scala course I would give it 4 stars, but now I see that it could be done better.
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Kristina Šekrst profile image
Kristina Šekrst profile image
8/10 starsCompleted
  • 96 reviews
  • 96 completed
1 year, 11 months ago
This was a nice course, and I'm a bit sad this was its last iteration. It could be improved by adding more real-life examples of techniques mentioned, this kind of felt a bit too theoretical. There were three tracks, and this is great, so anybody could have find the level of engagement he wanted for the class. I'm giving it +1 star because they really tried to engage the students in different ways.
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Duncan Murray profile image
Duncan Murray profile image
7/10 starsCompleted
  • 25 reviews
  • 24 completed
4 years, 3 months ago
Very interesting topic and they do a reasonably good job of making interesting what is quite a maths/logic heavy course. I would recommend this if you are interested in AI, and it is great that they offer the multiple levels of completion - I like the idea of a certificate to show what level you 'worked' on the course. I completed this at an awareness level only (videos and quizs), but will be retaking it in Jan 2014 to do the assignments [the first time I did this I didn't have the time to do the programming assignments] To improve this course, it needs a better set of wiki pages containing the key topics from the videos.
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Equanimous Creativity profile image
Equanimous Creativity profile image
8/10 starsCompleted
  • 33 reviews
  • 32 completed
4 years, 5 months ago
Nice course on automatic planing, I wish that the course was longer and more detailed. They could have expended on all the variants of A* (D*, INA*, GAA*, LPA*,SMA*,Theta*) and covered planing with uncertainties in detail.
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Michal profile image
Michal profile image
4/10 starsDropped
  • 6 reviews
  • 5 completed
4 years, 6 months ago
Don't take my rating too serious, as I didn't take enough of the course, but here's my impression. I watched the first week of lectures, but found them rather dull, the lecturer was mostly reciting from the slides in a monotonous voice. I can see that the authors have put a lot of effort into the course and tried to get people involved using various ways (including tweets, achievments, creative challenges), but it didn't work for me, even though I'm interested in the topic. The course was competing for my time with two other I was taking simultaneously (and full time job and a life :-)) and the others were simply more interesting and rewarding.
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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.