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Thomas Sarlandie

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  • 4 reviews
  • 4 completed
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Good introduction to Game Theory. Many interesting principles very well explained. Loved some of the more advanced proofs. Left me wanting for more (there is a follow-up course).
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This was by far the hardest class I took on Coursera but it felt so good to be challenged like this again! I have a background in Computer Sciences and some amateur electronics experience (including an amateur radio extra license). I wanted to get some theory to strengthen my understanding of electric signals, radio waves, etc. It exceeded my expectations. Professor Don Johnson excels at explaining those complicated concepts and he slowly walked us from basic trigonometry to signal propagation with a glimpse of maxwell equations. I had several ha-ha moments in this class. I am afraid I will quickly forget some of the maths without practice but I know many concepts will stay. Amongst my favorites moments: * Demonstrating why impedance works and now knowing why it can only work for sine-shaped signals * Superposition principle: first used to simplify analysis of circuits with two sources and then later applying it to radio signals (because Maxwell equations are linear ;) * Finally understanding how a Fourier transform works and really grasping it through lots of exercises on the subject * Why we now have digital everywhere and why it is replacing analog transmissions * Understanding why a Software-Defined-Radio needs an I/Q (inphase+quadrature) output of the signal And so much more ... I highly recommend it but be warned, you will be challenged, you will have to seriously brush up your maths, and it will remain challenging all the way through the 12 weeks. I think I easily spent 10 hours a week on this course after week 3. I have only one critic: the grading system really did not work that well for maths equations. The formulas are often very complicated and can be expressed in different forms. Sometimes you would have the right answer but it would not be accepted because the grader expected something different. The forums helped a lot but I really hope this improves for the next session. One final advice: use the textbook. I only started looking at it at week 4 or 5 and I should have started earlier. Thank you so much professor!
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Excellent course on data analysis. I loved how Jeff taught us not just the tools but a methodology to look at data and think about what we are trying to do. After taking this class, I have a much better understanding of how "big data" works and I feel ready to process large amount of data (hint: look at kaggle.com for projects ideas!) I have a strong background in CS but statistics was never my strong point. Jeff managed to introduce key concepts and stay away from deep maths, the balance was perfect for me. The written assignments were really challenging and really forced me get deep into what we had learnt. Plan to have 6-8 hours available to do them (at least...). The peer review system worked really well in that class and so did the forums.
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Good introduction to the R programming language although a bit too "formal" by times. The exercises got me quickly up to speed too. I am a professional developer with background in several languages and it felt very easy. It was not boring though because the lectures are quite short and get to the point quickly. I had never played with R and I think it was really useful to prepare for the Data Analytics course. Suggestions: * More exercises to entertain and challenge the viewers (maybe some more optional challenges would have been fun) * Give more examples that relate to data analysis - This is what I was looking for and I had to wait for "data analysis" to start really crunching data.