Whilst a significant improvement on the dreadful first course in the specialisation, I found this course frustrating and poor in several key areas. Firstly, I am a Biomedical Informatician with several years hands-on experience and am looking to build up my skills in Systems Biology, and I hoped this specialisation would help with that. Based on the first two courses, it doesn't - at all.

Firstly, whilst the lecture videos are much better than in the first course, it really adds little to investigate lab procedures in such detail. An overview of how they work and a focus *on the data produced* and to how that are relevant to models based upon differential equations would have been excellent: this only happens in the final week! The instructor has never posted once in the discussion forums since the course began and there are issues reported with the quizzes which appear to not have been rectified - so the quality control is poor and I found for me personally, much of the material was irrelevant to my aims and objectives in taking the course.

Coursera really have missed an opportunity with this specialisation: the MIT Synthetic Biology course offered by edX is excellent, even though it requires a very high degree of background knowledge it doesn't shy away from the materials (it required too much Molecular Biology for me though it's an excellent course). "Experimental Methods in Systems Biology" *could* have been excellent - IF the material of the final week of lectures had been the majority of the coure. Very disappointing and, honestly, a waste of money in my honest opinion.

Excellent course with a wealth of information about system biology technologies

Great course,

Recommended if you are interest in new technologies

A good course for someone interested to work in the field of systems biology, and thanks to Icahn School of Medicine and Coursera for the same.

But the course could have been a bit more comprehensive with respect to cellular experiments and include coverage of experiments done outside the Mount Sinai lab as well, especially 'non-omic' experiments such as cell growth and viability assays or KD , KO or Over-Expression studies that can be really useful for building network models.

This course is definitely not for beginners and students must have previous lab experience (in my opinion). It is a great course to get your feet wet in new techniques that you have not performed yet.

A really nice course which I believe served its purpose. Maybe a pdf version of experimental protocols followed in the lab videos can be added in the reading section of the lab-based video or in optional reading. This will help students who are interested in knowing the specific protocols for the technique.

This a great course it helps a lot to get to know state of the art techniques and how to use them properly although the assigment questions of selecting the statements are quite confusing.

Excelente curso, en lo personal me dio más perspectivas para el trabajo con sistemas biológicos. Me gustaría que se profundizara más sobre el tema de redes metabólicas y análisis de datos.

Un excelente curso que da un panorama muy útil de las herramientas comúnmente empleadas para experimentos enfocados a la biología de sistemas

Loved this course. Prof. Birtwistle is really into teaching and liked the way he has organized this course. Thanks!

Awesome delivery and exam questions are very practical....I enjoyed the 8weeks here

I relly enjoy and learn so much with that course! I recommend :)

excellent overview of experimental methods in systems biology

Good lecture to know experimental method in lab

excellent!!!!

tanks...

A very good course.

it was so useful

Very useful. :)

its very good.

ain't better!

Loved it! :D

Excelente

The course is mainly focused on description of the technologies used in system biology. Mechanisms of these experiments may not be very clear which makes this course seems like an introduction to the experiments. Also the quizzes are too long with enormous words, sometimes it's like a game of finding differences. I hope the quizzes be more focused on principals and calculation, which will make it more clearer.

Finally, the teacher and all staff have made a lot of efforts to build this nice course! Thank you so much!

The course provides up to date understanding of new technologies. The examples are carefully analyzed and explained. The course is very helpful for those who want to follow lab-based research. However, learners must be aware that the amount of knowledge you take in for each lesson is very large, you might need to watch the lesson over and over again to actually understand deeply.

Very nice and thorough course. Information is explained clearly in lectures but some parts like data analysis may require a longer period to understand and process for people without sufficient background. Lab-based ones are helpful. Quizzes and exams are pretty challenging. I found the case studies in exams really practical and interesting!