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Claudio Felicioli

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  • 58 reviews
  • 58 completed
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Another Swiss EPFL course of exceptional quality! The teaching style is formal and rigorous, the course is a little fast-paced and topics complex but it is worth the effort. It starts with the usual cell membrane introduction, and continue with layers of complexity up to optogenetics! It's not declared, neither in the title nor in the course description, but in my opinion it seems that all the introductory sections are wisely oriented to lead students to be able to fully understand optogenetics. One of the best neuroscience introductory course, THE best MOOC about optogenetics.
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Alma Moon Novotny has done a superb accomplishment in making tough and sometime boring content accessible and fun, without avoiding the in depth study. The various sub-systems and single proteins are studied at low level and the most complex systems have been deconstructed and analyzed.
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Alma Moon Novotny has done a superb accomplishment in making tough and sometime boring content accessible and fun, without avoiding the in depth study. The various sub-systems and single proteins are studied at low level and the most complex systems have been deconstructed and analyzed.
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A very wide discussion of all the major topics of astrophysics. The content is solid and rewarding. Well taught. The only negative aspect is the presentation style: the professor appears in a small angle of the screen, filmed during a live class, slides based.. slides are full of inspiring figures, but this course is far from taking really advantage of the MOOCs potentialities.
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The content is lacking in details, sometime superficial and imprecise. The IDE targeted by the instructors is really awful. Said that, this is really THE best laboratory course ever. The final project is simply the best possible one and the fun factor plus the feeling of constant accomplishment pushes students to try to compensate for the missing information and to dedicate days, weeks, months building and testing advanced electronics. The course is quite hard for anyone that don't have experience in programming and for any student that don't have experience in digital and analog electronics. Not recommended if you have never been exposed to both programming and electronics.
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Professor Gibson is an excellent professor. She presents challenging material science topics with great detail, during well-organized lessons, with no avoiding of math. This frontal instruction course has been filmed during a live class. This is the first module of a full course that was once presented as a single MOOC, that probably experienced too much low completion rate (I had to remove it out of my program once too, due to an underestimation of the time effort it would require). Being able to follow every detail of the presented content can be challenging, dividing it into three modules makes it more doable, but you really need to complete all three modules to get a complete view of the subject.
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A great series of courses about communication systems. All the topics are discussed in details with an engineering point of view. There are two instructors, one presenting the theory and one presenting the labs. Labs require editing of matlab code; I usually don't like courses with matlab assignments, but, in this case, they help a lot, condensing the theory in real algorithms. In this course, part 1, the physical and link layers of communication systems are discussed. I have already followed great courses about this topic, both at university and online, but this is the first one where I have seen interference and equalizers explained so well.
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This course goal was to describe all the main systems of the human body, considering injuries and keeping a particular focus on stroke cases. Sadly, the result is a low-quality introduction to anatomy, without studying any topic with a level of detail suited for a serious university course.
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The course is great both in the culinary and in the scientific content. Great chefs present the various topics, with a final formal presentation of the physics that makes it possible. The course assignments require you to make culinary experiments and collect data. The main topics are heat transfer, diffusion, emulsion, gelification, Maillard reactions and fermentation. You will get better at cooking without feeling like a witch doctor anymore! It was unexpected and very effective how the only basic knowledge about Maillard reactions could improve even the most simple recipe.. my amatriciana sauce pasta will never be the same :)
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A good course about all most important topics about psychiatric drugs, from the physiological effects to the brain activity, up to treatment programs that include psychotherapy. Important topics like the importance of giving realistic expectations to patients and the process of development and approval of new drugs are discussed.
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From a formal and scientific point of view, this is not the best course you can take. You will see neither astrophysics math nor instruments engineering. Anyway, it's a good introduction to astronomy, well suited for learners without previous experience.
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A great introductory course to understand modern bioreactor-based manufactory process. There are historical references and insights, a light introduction to biomolecules, then the focus is put on the design and control of bioreactors; at the end, several techniques of purification are studied. Very interesting course, well structured.
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The course content cover several very different topics related to radiation: physics, reactor engineering, measurement instruments, environmental recovery, effect on human health. The level of detail and the quality of the different topics varies a lot. Apparently, every single course taught in English by Japanese instructors will be barely understandable without reading the subtitles, due to pronunciation problems; in this particular course this problem is finally addressed: all the videos are dubbed by very clear English, well done!
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Jason Hafner is really a great instructor, master of interleaving the most complex math concepts with funny breaks. The content is well structured and very deep, helping students to learn both low and high level concepts. The experiments are fun and memorable. Hafner is successful in exploiting the peculiarities of MOOCs technologies to improve the effectiveness of the learning experience.
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More like art than science, it's hard to evaluate the content of an Entrepreneurship course. The views presented are quite well accepted general principles but not much more than this. The course content and the cases of study (interesting interviews to young entrepreneurs) mostly represent a very specific way of thinking (customer interviews, social value, starting with small highly characterized niche markets), omitting any valuable confrontation with different ways of planning and running startups. Even with all my critics to the content, I like this course a lot: the videos are fast and nice, the teaching style is good, the interviews are very informative.
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Very unconventional course: the focus is not put on any of the various mathematical ideas discussed, but is about the learning process itself and about the correct state of mind to keep. Several concepts are intriguing and useful: this course is valuable for a lifelong learner. The presentation sometimes is a little boring and slow: professor Starbird like to keep every student on-track. The puzzles are really fun.
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David Cox and his staff are very motivated and inspiring, the forums are full of interesting discussions and the staff is very active responding to student questions. Videos are truly great. Probably by design, the formal level is not very high compared to an in-class course and several topics have been simplified, but the content is good for an introductory level course. The custom platform used for this MOOC is nice and cool, but not clean and functional as the standard edX platform. Content warning: videos of human cadaver dissection, instructive but not necessary to complete the coursework.
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I have taken the 2013/2014 version of this course. This course presentation was quite boring. On the other hand, the content is useful and of good quality. It analyzes in depth a lot of different topics essential for anyone planning to start a business. The most memorable part of the course is the detailed case study of Gutenberg commercial introduction of the printing press, with details about metallurgy, labor policy and historical enterprises.
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Adam Van Arsdale has put in this long MOOCs a remarkable effort in making it the most complete and, therefore, the less introductory as possible. Attending this course you will learn about human origins and evolution (and about paleoanthropology itself) from different points of view of different disciplines. Be prepared to study for months teeth and skulls :) At the end, you will gain the unusual, probably useless, skill to immediately recognized human bones structures and classify them based on their evolutionary age of development. Very interestingly cases of the first evidence of several human social behavior are discussed.
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A nice hands-on simple introduction to parallel computing using Apache Spark, with a focus on the machine learning problems. Several different cases of distribution of big matrix computation are explained in details. The coding labs are well structured and you will learn how to code from scratch algorithms like distributed principal components analysis.
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The course cover the most basic features of HTML5. It's very exciting to have the opportunity to attend a course from W3C itself. In my opinion, the pace is not too much slow for the more experienced students and not too much fast for the web-illiterates. Sadly the instructor, when discussing every different topic, put an excessive focus to the less useful aspect of all, accessibility. Knowing that there is a way to make every single component accessible to screen-readers and how to design very limited layout just to address several kinds of cognitive disabilities and similar use cases is pointless for most of HTML5 interfaces.
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A good introduction to the many aspects of environmental science. The course doesn't focus with extreme details in any particular topic but has a very good balance on lots of them, a feature usually not seen in other MOOCs of similar topics. It's the first environmental science course I have seen that give enough attention to the very interesting role of soil in land ecosystems.
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The very basic concepts for controls of Dynamic systems are clearly explained, but nothing more. This short course is good for a first-time introduction only. Lots of examples are presented and well analysed. There is a lack of final evaluation materials, with only a handful of very elementary multiple choice questions for grading.
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Very comprehensive study of the graphene technology. Synthesis techniques and quality characterization techniques used by academics and by industry are described in details. All most relevant applications are introduced, with a focus on optoelectronics. The instructor then presents an advanced theoretical analysis of the material properties using the reciprocal lattice techniques; this last part of the course is very valuable but has advanced prerequisites, the first 2/3 of the course are with medium-low prerequisites.
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This course covers a very wide range of food-related topics from a lot of different points of view. Slaughterhouses, politics, future technologies, industrial food system, organic agriculture, justice, hunger&malnutrition and lots more. I would have loved more scientific and economical content, but the main focus is philosophy. If you like philosophers mindset you will love this course.. personally I have felt several times the urge to punch the (very good) instructors in the face :p but I would like to recommend it anyway.
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Very little content; this course is only a brief introduction without any advanced engineering or material science topic covered. On the other hand, the instructor is very good at presenting and the video are nicely structured and well curated. If you are searching for something really introductory, it's a good course.
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Follow this very rewarding course and you will be able to build your own toy robot, for real. This is a laboratory-based course that teach the basics of interfacing all possible analog system to a microcontroller. There is probably too much little microcontroller coding content, but the focus is put on the interfaces. The final project is to build a fully controlled robot, with wheels, photoreceptors, buzzer, microphone and all the components you will be able to add to your own design :)
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It's fun and awesome. Both the professors are very good on themselves, but their combined effort is something of unutterable greatness. The topics are inspiringly presented, in depth, using the support of lots of ad hoc simulations. The mystery part by Paul is a masterpiece of interactive sci-fi where YOU are the scientist. The complete ANU Astrophysics series is a must for any student with any kind of scientific interest. Do this course, really.
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A great course covering the details of computation, both from electronics and from a more theoretical point of view. The assignments are usually more challenging than other similar MOOCs and probably are the best part of the course: for example, in the finite state machines section, you will program directly a Turing machine simulation.
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Short introductory level quantum mechanics, with a focus on molecular identification. The content is very limited, with lots of omissions and simplifications. One of the problems is the instructor spoken English really hard to follow for a non-native without reading the transcripts.
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More an art than a science, it's hard to evaluate the content of an Entrepreneurship course. The ideas presented are quite well accepted general principles but not much more than this. The course content and the cases of study (interesting interviews to entrepreneurs) mostly represent a very specific way of thinking (customer interviews, social value, starting with small highly characterized niche markets) but, like in the previous course, they are omitting a valuable confrontation with different ways of planning and running startups. Even with all my critics to the content, I like and recommend this course a lot: the videos are fast and nice, the teaching style is good, the interviews are informative.
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The instructor is an astronaut (Jeffrey Hoffman) and is a great thing for a course like this one. Not only rocket science, the main topics are systems engineering, life support systems and human zero-gravity physiology. Several problems solved by technologies deployed in the International Space Station are studied. There is probably a little too much ego from the instructor, but the quality of the course content makes one to easily forgive it.
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Jason Hafner is really a great instructor, master of interleaving the most complex math concepts with funny breaks. The content is well structured and very deep, helping students to learn both low and high level concepts. The experiments are fun and memorable. Hafner is successful in exploiting the peculiarities of MOOCs technologies to improve the effectiveness of the learning experience.
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This very rewarding course is more similar to a PhD course than to a simple university one, or, at least, it is of higher quality. Like usual for EPFL courses, the teaching style is extremely formal and rigorous and the mathematical prerequisite are pretty high. I almost fell asleep in a few lessons, but the effort is worth the effort.
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Very broad discussion of climate change science, with a strong focus on numerical simulation models. The instructor teaching style is based on classical blackboard filling frontal instruction, which is not the best option for MOOCs.. but at least a lot of lab activities require students to directly access the real simulation softwares used by climate change academics.
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An astrobiology course that, while focusing on the problems related to habitability of exoplanets, explore in depth astronomy techniques, introduce astrophysics problems, and gives at least some basics of biology, making it introductory level and suitable to students previously unexposed to the topic. Both content and instructors are good and would have deserved an higher review score, but the content (expecially the advanced topics) is too much based on text documents :(
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This is not a course, it is a collection of conference talks, in this case from International Solid-State Circuits Conference (ISSCC). Have you ever attended a scientific conference and really wished to be able to freeze the currently presented talk just for a few minutes, to obtain additional background of some key topic of it, essential to be able to understand the talk? This course solve exactly this problem :) I would like to see more MOOCs (MOOConferences) like this in the future! If you are looking for a course teaching electronics/circuits don't take this course, it's only a collection of 11 slightly related and extremely focused research talks.
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More introductory than intermediate level. There is not a lot to learn, but the quality of the content is good. One of the best activity proposed in this course is the reading of historical scientific papers: it's very nice to read about topics like, for example, the discovery of alpha helixes and beta sheets with the eyes of the scientists who introduced them, exploring not only the conclusions of their works, but methods too.
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Not only high quality scientific content, but the notions you will learn are useful for your own health. Sander Kersten is a pleasant and very good instructor that fully take advantage of the peculiarities of MOOCs' way of teaching. In a few months after having taken this course I have lost 12 Kg of surplus fat, not by strictly following a diet but only thanks to the higher awareness about food composition: you will not look at your food with the same eyes :)
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Great course, very fun. Both board and computer games are covered. There is theoretical content of high quality, but the best of the course is the laboratory activity, focused on prototyping and testing. A lot of interesting interviews with games related startups. To complete the activity it is possible to follow only the boardgame or only the computergame path in the labs, but making them both is twice the fun :)
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Second course of a series. David Cox and the staff have improved the experience, better videos, better organization. The instructor skilled and passionate, the videos are great, the artistic content is very nicely merged to the science. Probably by design, the formal level is not very high and several topics have been simplified, but the content is good for an introductory level course. The custom platform used for the mooc is nice and cool, but not clean and functional as the standard edX platform.
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It's fun and awesome. Both the professors are very good on themselves, but their combined effort is something of unutterable greatness. The topics are inspiringly presented, in depth, using the support of lots of ad hoc simulations. The mystery part by Paul is a masterpiece of interactive sci-fi where YOU are the scientist. The complete ANU Astrophysics series is a must for any student with any kind of scientific interest. Do this course, really.
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This course is difficult to rate: in my personal experience, it was the worst experience at all in the MOOCs I have signed in. The instructor is too much young to be reasonably near to having a suitable professor-level of experience in the topic. The content is embarrassingly lacking and mixed with young funky media nonsense. Any scientific course should teach not only bare information, but scientific way of thinking, and this course actually try to degrade your way of thinking! On the other hand, even if my personal experience was terrible (I'm not able to explain myself why I didn't dropped it, usually in bad courses I drop after a pair of weeks), there is something to note. I think the problem with this MOOC is that the target audience is late-primary or early-secondary education stage. It should be clearly stated in the description. The problem is not the quality of the course itself: it is very intelligently designed to be funny and to keep the attention high. I genuinely hated the way Claire O'Connell conducted the teaching, but she is really a very gifted communicator, and probably she is terrific in teaching to a different target. Probably I would have loved it when I was 9-13 years old, I'm really sorry for the bad review.
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Jason Hafner is really a great instructor, master of interleaving the most complex math concepts with funny breaks. The content is well structured and very deep, helping students to learn both low and high level concepts. The experiments are fun and memorable. Hafner is successful in exploiting the peculiarities of MOOCs technologies to improve the effectiveness of the learning experience.
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Not only macroscopic anatomy notions: the systems are deconstructed to sub-components up to cellular level. Cells, tissues, cartilage, bones, joints, muscle, nerves and vessels are analyzed in depth, expecially for the upper and lower limbs, using archetypal clinical cases to organize the course. Content warning: videos of human cadaver dissection, instructive but not necessary to complete the coursework.
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It's fun and awesome. Both the professors are very good on themselves, but their combined effort is something of unutterable greatness. The topics are inspiringly presented, in depth, using the support of lots of ad hoc simulations. The mystery part by Paul is a masterpiece of interactive sci-fi where YOU are the scientist. The complete ANU Astrophysics series is a must for any student with any kind of scientific interest. Do this course, really.
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A quite complete introduction to all the main imaging techniques: simple X-ray, CT, ultrasounds, MRI and PET. For each of them are presented the scientific principles, the technology, the cases of use, examples and the basics of images interpretation. Very accessible and well taught by several different instructors.
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It's fun and awesome. Both the professors are very good on themselves, but their combined effort is something of unutterable greatness. The topics are inspiringly presented, in depth, using the support of lots of ad hoc simulations. The mystery part by Paul is a masterpiece of interactive sci-fi where YOU are the scientist. The complete ANU Astrophysics series is a must for any student with any kind of scientific interest. Do this course, really.
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Elemental algebraic structures and algorithms are presented with a very strong focus on computation and time/space optimization. The content is very solid and interesting per se but, sadly, the lecture style is boring, the chosen programming environment is cumbersome and the assignments are only a little more than grinding.
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With a strong focus to the pre/proto-industrial era and to slavery systems, this course give a very useful lens to study the nature of capitalism. Great content, well structured and presented by two very good teachers.
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Very formal discussion about the mathematics required for movement planning and control of any configuration of robotic actuators. The content is good, but the format of the lessons is very boring: essentially a classical blackboard filling frontal instruction course has been filmed during a live class and the only editing has been the split in (too much big) video chunks.
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Good course and skilled instructor. The concept discussed are very interesting, the only problem are the homeworks, not always well designed.
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Walter Lewin is a great, passionate, instructor. The course content is of very high quality and the experiments are truly mind boggling. I followed it on EdX (now removed due to a censorship policy) but the course content is the same.
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High quality content. The instructor put most of the focus on the scientific methods of experiment planning and result analysis. At first, the time spent on experiment planning could seem a little boring and out of topic, but, when considering the social implications of Behavioural Economics, not only it makes perfect sense, but it's an essential tool required to distinguish between experimental evidences and biased opinions, and to evaluate if an experiment conclusion is strong or weak.
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I have been positively surprised by the great quality of this course. The instructor has been able, in a very short course, to discuss all the main topics of computer graphics in depth and with a good level of formalism. The final project (a ray tracer from scratch) was great: it's remarkable that the instructor has been able to cover all the requirements, from algebra up to programming techniques, to give students all the tools needed for successfully complete it.
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Not really a course about SaaS: it's more focused on ruby on rails and on agile development. The content is not of low quality, but the pace is too much slow, it's too much out of topic, and the presentation a little boring :( Probably in the part 2 it would focus more on SaaS, but I decided to skip the follow up
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Very high quality content. The instructor has worked hard to present the course in a fun way, but in my case the result has not been great :(
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Walter Lewin is a great, passionate, instructor. The course content is of very high quality and the experiments are truly mind boggling. I followed it on EdX (now removed due to a censorship policy) but the course content is the same.