- 7 reviews
- 6 completed
Before taking this course, I had some notions about SQL, which were covered by this course in one week. The least I can say is that this course is dense. As it covers a large variety of subjects that are related to databases, the workload is significant (at least 4 to 5 h per week). In my opinion, what makes this MOOC the best I have taken so far is the quality of the tests: quizzes inside the lectures, randomly generated quizzes at the end of most subjects (around 1 per week) and open exercises that are evaluated with specific engines (for DTD, relational algebra, SQL, XPath/XQuery and XSLT). Additionally, the exercises contain non-trivial challenges. Those tests help to identify and to fix effectively some misunderstandings.
The course interested me at first for the concepts I could have used in my teaching practice. I was also interested in having some new element about the controversy about violence and video games (I thought of this as a possible drawback of what we learn through video games). I dropped after the first two weeks as I felt the content was biased towards the interest of the instructor's research. It seemed to me that the objective of the course was to present the opinions and beliefs of the instructors rather than to show the state of the art of the current scientific knowledge (none of the drawbacks of video games was mentioned as if it is the ultimate educational tool). Moreover, the "commercial" style of some of the videos did not help me lower my doubts about the content quality and accuracy. The materials were undoubtedly well designed but I preferred to concentrate on other courses such as "Epidemics - the Dynamics of Infectious Diseases" that is also well produced (the content of this last course seemed to me quite accurate as far as I could check). In terms of similar courses on the topic of education, I would suggest "How to Learn Math", which address an crucial issue in education.
This course addresses a broad range of themes and the instructors managed to give general introduction to each topic while providing some highlights on some specific research they conducted. The quantity of materials that must be read may be discouraging (interleaving those materials with some quick introduction videos could have helped) and I did not complete the course as I did not participate to the essays.
Excellent course covering writing style and the publication process. The peer- review system for the dissertations is still imperfect, but this does not prevent the course from achieving its goals. This course is particularly useful when starting a master or a PhD thesis, but I am sure anyone could benefit from it as well.
Although the pedagogical objectives are quite limited and the course is not demanding in terms of workload, the materials are certainly well-produced and the concepts are well presented. Each video is extremely clean and there are also "games" to visualize the concepts.
I took this MOOC as a natural follow-up to the "HRP258 Statistics in Medicine" from Kristin Sainani. This course focuses on a specific class of medical studies: randomized clinical trials. It may be inaccessible without prior knowledge about statistics and other types of medical studies. The content and the presentation were comparable to other MOOCs. I only wish the load was heavier (it took me around one hour per week to complete it). My main concern is that the tests were too easy. It is even possible to get perfect scores to some quizzes without following the lectures. Adding exercises in which realistic non-trivial studies need to be analysed would be great.
Taking this course help to think more carefully about arguments, their construction, their potential flaws and what make them valid. The progression of the course is smooth and there are many quizzes that help to integrate the concepts. The humor brought by the instructors to the course is really welcomed. The main drawback of the course is probably that each exercise is too much focused on a single specific concept and there is no exercise that involves complete real-life example requiring a deep analysis and mobilizing all the concepts covered by the course.