- 9 reviews
- 8 completed
Very general overview of the subject. Comparable to wikipedia article. Focuses on PMBOK, which is not very popular in Europe. It gives some additional reading material and structurizes some basic concepts, so that is not all bad. Expeted little bit more material to be covered, but the open2study platform proved to work very well.
Videos and quizzes were very good. Quizzes were somewhat easy. As you could take them few times, i maxed them all without much thinking. I obtained a lot of useful materials ansd sample codes, started using git in everyday work, so it had positive influence on my life. But the course lacks some more ambitious project to engage listener little bit more, in my opinion.
A follow-up on 6.00.1x which is a general intro to python. Here some more useful problems are tackled like clasification, plotting using matpotlib, random walks. Very god lectures and very god execices.
A very good course introducing R as a statistic tool and spreadsheet solvers as an optimization platform. Gives perspective on how much insight you can get from numbers crunching. The course is focused on practical side, sometimes I felt that too little was said about R syntax. Maybe one more week of introduction would be usefull, but mayby it would get boring. Or maybe the R syntax is just little bit random and differs from library to library and that made me somewhat confused.
Course about some problems of developing countries organized by people who introduce the randomized trials to policy testing. The course gives detailed examples of few such randomized trials from different fields of social development area. Up to some point it is very interesting, later I got little bit bored and waited for some generalizations for general policymaking, but probably I shouldnt expect that.
Very interesting subject. The pressure is really on the science more then on story telling or political action. Some fluency in mathematics (integrals) is required. Gives some insight on how the climate works, but it there is very little material for dowloading (apart from IPCC reports), so it is best to take notes during lectures.
A very interesting subject, presented by competent people, but after 70% of material I had still the feeling that it is an introduction to the course not the course itself. A lot of philosophical questions, very little real tools Some presented tools seem very usefull, but there is no exercices. The only task for students is writing esseys. No follow-up test for repeating, no case studies, not much at all.
Some basics of programming. Ideas and problems not very original, but presented in interesting way with corresponding examples. I knew some of the material from my university, but still had fun with lectures. Made with care. Great exercices.
Very good way of learning how different, everyfay situations can be mathematically presented and solved. Presented models are rather simple and basic, mostly from economy, decision making, behavioural (there is no physics or machine learning) and it is great. The lecturer is fun and enjoyable to listen