Frankfurt am Main, Hessen, Germany
    • Favorite Topics: Biology & Life Sciences, Computer Science, Education, Energy & Earth Sciences, Engineering, Mathematics, Medicine, Physics, Statistic & Data Analysis
    • Age: 38
    • Gender: Male

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Recent reviews
Course Name
Nanotechnology and Nanosensors, Part1

Technion-Israel Institute of Technology

A great introduction to the nano world. It is more than intermediate but you get a great insight.   A pluspoint is given to the realy ingenious concept of mutial student validation and the final homework  
Introduction to Programming with MATLAB

Vanderbilt University

I took this course to refresh my programmimg skills, and for this reason, the course was great. It is not sophisticated and is relatively easy to learn the material without much background.   I would recommend this course for people who starts programming matlab
Computational Methods for Data Analysis

University of Washington

The course offers a good overview of mathematical approaches for data analysis. It balances well between the theory (mostly white board) and the practice (Matlab Programming). During programming part, professor gives some explanations on the white board, and both, the Matlab view and the board are well readable (You see two screens, one bigger than the other and there is a possibility to switch between them) ,however there are some problems with subtitles, because they are overlapped. One of the best things I appreciate is, that one does not have these tight deadlines for the quizzes (as usual). It gives you a great possibility, to enter the course later, or to watch some more lessons first.   __________________________________________________ __________________________________________________
Discrete Inference and Learning in Artificial Vision

École Centrale Paris

For me, it was an informative course. The course provides a knowledge base of image information using energy minimization algorithms. It gives an overview through state of the art and some innovative techniques to manipulate image information. This was for me definitely a benefit.   Unfortunately, the course has a strong math touch, and if one does not understand it firstly, on gets not much possibility to get it afterwards (not much blue prints, if at all). Furthermore, the Learning aspect of the course did fall short. There are some inconsistencies and graphical problems, but overall, it was well informative!  
Computational Neuroscience

University of Washington

Well-structured and informative course. The course provides the knowledge base of neural and neuronal information processing as well as learning concepts. Furthermore, the course gives a brief overview of statistic methods, distributions... to handle with signals. This was for me definitely a benefit. I really enjoyed the course. The course grade is based on your performance in homework quizzes only (there will be no exams in this course).  Mostly they are multiple-choice form. Some of the quizzes use MATLAB to compute some signals. Sometimes they could be difficult, but they are surprisingly good comparable to lectures (what is not the case by many other courses). A further advantage lies in another home quizzes feature: As soon as you submit a correct answer, you get a "blue-print" solution, in order to see, whether you think correct or not. Since quizzes are multiple choice and you get up to 10 attempts, you are able to find out the right answer. P.S.: It has to be mentioned that the course gives a brief introduction to MATLAB. Furthermore, it is possible to get a cost free MATLAB student version for the course time. It is a great opportunity to learn this powerful tool.
Neuronal Dynamics - Computational Neuroscience of Single Neurons

École Polytechnique Fédérale de Lausanne

I just started this course, but I would like to post one important information about it. It is slightly overloaded with maths equations (solving differential equations etc). You can feel, that Professor has an math-physical background. Although it is obvious, that the professor has a deep knowledge and although I started to learn very enthusiastic and motivated, for some reasons my motivation decreased even after a short period of time. I guess its because of inconsistency of lectures and homework exercises. Furthermore, there are some difficulties to solve homework exercises and  to enter right answers because of both ambiguity and contextuality. Sometimes, it was nearly impossible  within the homework exercises to enter the right equations. One week later, one gets the "blue-print" solution for this homework exercises where one can see, that the equations were right, but formatted in another way. I studied physics and In a bizarre way I felt reminded of some lectures during my study, because of the same mistakes. Nevertheless It is obvious, that it is a big challenge for homework exercises to question mathematical equations instead of multiple-choise query, but there are some other mooc's regarding this topic, where these problems are solved in a better way   Some positive Feedback: The lecture framework have been made very well. There are multiple choice questions after some lectures (not graded), which are great to see, if you got the information. There are "blue-print" solution for this homework exercises, but it could be better, if there could be some explanations.