Good explanation. But the problem is, the assignments given are way too advanced and the explanation given in the videos, is not clear enough and sufficient to solve the code given in the ipython notebooks.

Feeling it's hard for me because I only have CS background and know nothing about automatic control. The knowledge in slides is not so clear for a totally fresh man.

Suggest firstly get the introduction of robotics and automatic control then take this course.

This is one the best courses that you can find on coursera. This is an ambitious course that has been launched to compete with the udacity's Self driving cars course (atleast that's how I see it) . The instructors are veterans in the field and they some people from the industry (Zoox, Waymo.. etc) to show the big picture. The courses from week 1-3 gives the theoritical introduction about the hardware, software, architectural and safety requirements. Then from the week 4 you can get your hands dirty with application of physics, mathematics in python. ( I had a hard time here) But you'll it if you love learning. It's where all the domains converge from mechanics to programming. I know programming and I started learning the mathematical and physics concepts from other sources. But be informed that the explanation of mechanical concepts is very low as they assume that you posses them. So, if you don't have you will start learning them in parallel with the course.

If you are serious and if you are ready to take the mental work the take the course. It's worth the money and time. All it needs is your hardwork and attention.

First 3 weeks say about the history, the safety and what is actually a driving plan.

The other 3 weeks go really deep inside physics and mechanical engineering and many people find it hard to follow there, especially if they come from different backgrounds. I come from computer science.

In week 7, they explain the CARLA simulator and they have done a terrific job on that, kudos.

The thing is that through week 4-7, the quizzes and the assignments get really hard and many people say in the forums that find it hard and they needed to be more documented and guidelined, like the Deep Learning Specialization from Andrew Ng, from example.

The course has potential but I think there exists a problem right now when 20-30% of people pass quizzes on the first time. I hope that the team will take that into consideration and edit their resources.

​Great learning experience! I learned about longitudinal and lateral control algorithms, self driving car terminology. The best is the practical sessions in CARLA simulator, it gave me opportunity to apply what is being learned. It really gives much satisfaction and confidence about the topic. Yes, I am looking forward to take the next course. I would like to thank the lecturer and Coursera for giving me this great opportunity to be part of this good learning experience.

Great course! Made me even more interested in self driving vehicles! I'll definitely continue this specialization and topic in general, as cars and robotics itself :3

clear, easy to follow. I would say that needs to speed up a bit

Excellent first course in the specialization. It was everything I hoped it would be. Personally I would have appreciated if the videos have been longer and therefore going more into details. Currently they are more of a fast-paced walk-through. But this is compensated by providing reading materials for each of the the videos (some of which are either behind a paywall or the link is broken - so a cleanup would be a good idea). There is one programming assigment in week 4 to get you started and a final project in week 7. Trying to implement the material from the videos in the final project required me to go back to the slides and comprehend the concepts shown - exactly what I think makes a good programming exercise: not just filling in the blanks but really relatively small block of code that you need to develop on your own. If you ever get stuck the discussion forums should provide you with all the necessary pointers to resolve any issue. After getting the CARLA simulator working it was fascinating to see your code being used to accelerate/steer your car around a given race track. I definitely recommend this course for everyone interested in starting to build up knowledge in the self driving cars arena.

Pros: It's overall a very challenging courses. Presented the big picture of this exciting field. Lecture video is concise.

Cons: The material can be structured in a more intuitive way, maybe expand the lecture a little bit, and it'll be really helpful to give one or two simple concrete example every time a new concept or formula was introduced. For me, I need to search all the unfamiliar terms and formulas, and maybe work through a toy example or even write program or plot some data myself in order to understand the material and follow this course.

p.s. I don't have all the prerequisite to take this course (minimal exposure to robotics, can't remember much about physics, I do have machine learning experience, but it is not helpful for this intro course).

Fantastic course! It assumes participants have some background knowledge in control theory. The programming exercises are a bit difficult as there is a lack of documentation. However, passing them depends on getting intuition on tuning parameters, something essential in the real world. The course also includes research papers and publications in supplementary material. Going through this material is really helpful in gaining additional detailed knowledge about the concepts discussed in the lecture videos

Would definitely recommend this course to anyone trying to get into the AV field.

Great content for an Introduction, it has its challenges. I really liked the merge of different topics, such as physics, mechanics and control, as well as safety standards and architecture. It would be cool to see more interaction of participants in the forums. Some of the topics could be explained in more detail, this is part of the challenges to face. However, when accomplishing the practical assessments, you gain confidence on trying different approaches to solve them and not just "by the book"

This class puts emphasis on control model. It leaves lots of space in the final project for you to piece together things that may sound dry in the lectures. You need to figure out how to verify your model and logic in corner cases, and how to tune parameters. All these are indispensable and practical when applying theory to practice - an important skills in engineering. Overall a solid and well structured course. Highly recommended.

the materials are presented in a nice way. However, even though it's an introductory class, more programming assignments should be included. In my opinion this should be a more engineering-focused class rather than a theoretical class.

The best course to amass knowledge on the basics of self-driving cars.

Would recommend it for everyone who meets the pre-requisites of this course.

There is a steep learning curve for beginners, however if you take the time to learn and understand the content, you can succeed in this course.

Great course! Ilove it and enjoy all these learning and coding procedures.

Wow!. Thanks a lot to Coursera for offering. Too Good

amazing course, thanks for providing

There is no support for this class

The forums are almost useless and no teacher or staff ever answers anything on them

The lectures are pure fluff and hand-waving, no meat and no details

The projects are extremely difficult and there is no lessons to cover material needed for the projects

Would not recommend unless you want to basically learn on your own

Too much work BTW I did get 100%.

Terrible, total waste of time

exceptionally good course to get introduced to the subject - Self-Driving Cars, which is going to be the game changer of the decade. The course is useful for the people who are working in Automotive industry and/or from Electronics/Mechanical related background

the best of its kind course. The quizzes, CARLA simulator and the assignments were extraordinary. Very well outlined & was well paced as well.

Two minor feedback/improvement : 1) easy concepts you can speed-up, which you are already doing it, but for the tough concepts - just slow down a little with more explanations (2) connecting the concepts from the previous lesson to the next lesson and the overall summary could be briefed with a diagramatic representation (like e.g. mind-maps,etc... i have made one for myself :-) )

Kudos to University of Toronto, Professor Steven and Coursera . I am very happy to be - part of this great program/course. :-)

Why can't all other universities provide such a structured course for their students. This shattered my preconceptions about online courses. The course is as hard as, if not harder than a regular classroom based courses with added flexibility and revision. I hope the governments of countries (especially developing) could provide subsidies or even better, discounts from coursera itself for poor yet talented students there.

Final project submissions should not be copying final results in a file and submitting it. This way, people can copy final results from somewhere on the internet and pass the course without knowing if they really did the assignment or not. Like this people can not trust the certificate we earn. Generating these yaml files automatically in a grader or something similar is a better way in my opinion.

A great introductory course! It helped me to overview the very basic concepts of self-driving vehicle software architectures. Also, the programming assignments are very relevant and essential for making a vehicle moving in real life. CARLA, which the final assignment is related to, is also a recent simulator aiming for autonomous vehicle development.

Everything in this course is well arranged and as per the industry standards.

It was fun learning the controller design and implementing it in the final Assignment.

One issue though is there any place to get all the slides together for the future use it will be very helpful thank you.