Semester.ly

Johns Hopkins University | EN.550.391

Dynamical Systems

4.0

credits

Average Course Rating

(4.32)

Mathematical concepts and methods for describing and analyzing linear and nonlinear systems that evolve over time. Topics include boundedness, stability of fixed points and attractors, feedback, optimality, Liapounov functions, bifurcation, chaos, and catastrophes. Examples drawn from population growth, economic behavior, physical and engineering systems. The main mathematical tools are linear algebra and basic differential equations.

Fall 2012

(4.36)

Fall 2013

(4.17)

Fall 2014

(4.43)

Fall 2012

Professor: Gregory Eyink

(4.36)

Students said that the material was interesting and the professor was a good lecturer. However, he got behind and had to rush to cover al of the lessons. Additional y, the discussion sections were converted to extra lectures in order to cover everything. Students suggested that the professor should go over content sooner so they have more time to complete the homework assignments. The course is challenging, but worthwhile if you need these math skil s. Students should have a good background in calculus and differential equations before taking this course.

Fall 2013

Professor: Gregory Eyink

(4.17)

15 Students liked learning about the R programming language and felt that many of the things they learned were practical and useful. Many students noted that the professor seemed disorganized, and that the quizzes were difficult and did not reflect the content covered in the homework assignments. Students suggested reorganizing the lectures to provide more details about the information being taught, as well as providing outside resource they could use to help them study. Students also wanted the homework problems and the quizzes to cover the same materials. Prospective students should be prepared to study and learn the materials on their own time using the textbook as reference. They should do the homework assignments sooner rather than later and would benefit from knowing statistics before taking this course.

Fall 2014

Professor: Wayne Hacker

(4.43)

Students most appreciated the real world applicability of this course’s content. They also praised the effective teaching of the professor. Many students disliked the course’s heavy workload. Students thought the course could have benefitted from additional guidance and examples for the projects. They also thought it was most important for potential participants in this course to know that some knowledge of programming with MATLAB would be especially useful for this class.