Despite a few minor drawbacks, including ambiguities in the Russian-English translation, relatively low instructor support and a small number of quiz questions whose "Correct" answers contradicted the course materials, I'm giving this course five stars because it succeeds in providing a technical introduction to the physical processes in nuclear reactors. It's not as polished Stanford CS229 Machine Learning, but no other Coursera offering teaches this fascinating and important subject.

Completing this course has given me confidence to consider academic studies in nuclear engineering, with a view to becoming an informed advocate for nuclear power as an ecological means of supplying a global human civilisation with massive aamounts of cheap base-load powers, and a material contributor to the transition away from fossil fuels. Before proceeding further, however, I'll definitely be reviewing my fundamentals skills in differential equations.

I would recommend future learners on the course consult the supplementary reading materials provided in the introductory video. "Introduction to Nuclear Engineering" by Lamarsh and Baratta (3rd Edition) was particularly helpful and is available online as a free pdf.

The course is a very technical and specific course. The important concepts in this course some of them can be used in other field, especially the current courses thought by Lund University on particle accelerator physics is now open. Some concepts in this course can be applied in high energy physics, condensed matter measurement and radiation biomedical physics, the concepts on nuclear reactor itself are also very interesting.

5*

An excellent overview of the physics of nuclear reactors with hands on calculations. This course is the real deal in terms of the math and principles of the nuclear engineering. Very recommended.

Best course to understand the working of the nuclear reactors.

EXCELLENT COURSE