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Johns Hopkins University | EN.550.692

Matrix Analysis and Linear Algebra

4.0

credits

Average Course Rating

(4.48)

A second course in linear algebra with emphasis on topics useful in analysis, economics, statistics, control theory, and numerical analysis. Review of linear algebra, decomposition and factorization theorems, positive definite matrices, norms and convergence, eigenvalue location theorems, variational methods, positive and nonnegative matrices, generalized inverses.

Fall 2012

(4.46)

Fall 2013

(4.43)

Fall 2014

(4.56)

Fall 2012

Professor: Youngmi Hur

(4.46)

Students said the professor is a good lecturer and explained the theorems well. The material is relevant to many other fields of research. The downsides were that homework was very time-consuming and the solutions were not posted. Students suggested posting homework solutions or other solved problems for study purposes. The course covers a broad range of topics and the workload is heavy. Students would greatly benefit by having some background in linear algebra before taking this course.

Fall 2013

Professor: Youngmi Hur

(4.43)

Students praised the engaging instructor who was able to effectively convey ideas during lectures. Issues with the course varied. Some students wish the course met fewer times a week but for longer periods of time so that students could spend more time working on material in class. Other students disliked that the instructor’s lectures closely mirrored the textbook, which led some students to say they could have skipped class. Suggestions for improvement included a desire to increase the duration of classes as well as a desire by students for additional time to complete exams. Prospective students should have a background in proofs and linear algebra, and be willing to commit a fair chunk of time to completing the homework assignments.

Fall 2014

Professor: Donniell Fishkind

(4.56)

Students praised this course for presenting challenging and useful concepts in matrices. Perceived issues with the course were few; however, one student found that the exams weren’t that chal enging. Suggestions for improvement varied; for example, one student wanted the exams and homework to be more chal enging while another student wanted the class size reduced. Prospective students should know that students thought the course was focused on matrix concepts and that having a background in linear algebra was helpful. 18