Semester.ly

Johns Hopkins University | EN.530.766

Numerical Methods

3.0

credits

Average Course Rating

(4.39)

Comprehensive introduction to the finite-difference method and associated numerical techniques for solving partial differential equations (PDEs) encountered in Engineering and Physics. Homework assignments and Project require substantial computer programming.

Fall 2014

(4.1)

Spring 2013

(4.68)

Fall 2014

Professor: Rajat Mittal

(4.1)

Students praised this course for giving students a broad overview of numerical methods and featuring an instructor who clearly explained concepts and problems. Students perceived various issues with the course. Some students found the homework was time consuming to complete and that it took too long to get feedback on assignments. Others thought that the grading was unfairly harsh on assignments. Suggestions to improve the course varied as wel . Some students thought the course would be improved if they were provided additional resources to support what they were learning in lectures. Some students requested that the instructor assign a textbook while others asked for an outline at the start of class so they would know the purpose of each lecture. Prospective students should know that students found that it was important to have a good background in programming languages such as Python and applications such as MATLAB.

Spring 2013

Professor: Rajat Mittal

(4.68)

The best aspect of the course was the professor whose detailed lessons helped to ensure al students understood the material. The supportive homework assignments were very useful and students thought that the class was well organized. The worst aspect of the course was the hefty homework assignments that were not always in line with material students had learned in class. The course would improve if there was a corresponding textbook for the class and if there were more lessons on programming, theories and paral el computing. Prospective students should have some background in 202

Lecture Sections

(01)

No location info
R. Mittal
16:30 - 17:45