Semester.ly

Johns Hopkins University | EN.570.210

Computation/Math Modeling

3.0

credits

Average Course Rating

(3.1)

An introduction to the use of computers in developing mathematical models. A structured approach to problem definition, solution, and presentation using spreadsheets and mathematical software. Modeling topics include elementary data analysis and model fitting, numerical modeling, dimensional analysis, optimization, simulation, temporal and spatial models. Recommended Course Background: AS.110.108 or equivalent.

Spring 2013

(3.13)

Spring 2014

(2.43)

Spring 2015

(3.74)

Spring 2013

Professor: Peter Wilcock

(3.13)

The best aspects of this course included the workshops, useful and applicable material, as well as the opportunity for students to learn Excel as a practical tool. A few students felt the lectures were not relatable to the course content. Students also felt the homework was too long and excessively tedious. Suggestions included providing students with more time to work on problem sets and devoting more class time to learning code. Prospective students should know that this is a work-intensive class.

Spring 2014

Professor: Peter Wilcock

(2.43)

The best aspects of this course included the applicability of the material (VBA and Excel), and the instructor’s sense of humor. The worst aspects of this course were the homework which was unclear and not related to the lecture, the disorganization of the course, and the overall poor instruction. Some students did not learn what they had come to the class to learn, namely coding with VBA. Suggestions for improving the course include a more organized schedule, homework related to the lecture, and a curriculum which includes VBA instruction. Prospective students should have some programming knowledge prior to this class. This class is not recommended by the students.

Spring 2015

Professor: Allison Reilly

(3.74)

The best aspects of this course included the effective teaching methods of the instructor, the significant amount of time spent on coding, and the accessibility of the TA’s and professor. Students felt that the workload was heavy and homework assignments were long and unclear. Suggestions for improvement included having more coding examples within lecture, decreasing the amount of assignments, and having either a final project or a final exam instead of both. Prospective students should be familiar with calculus and linear algebra. Prospective students are encouraged to seek help as soon as needed and to use the textbook as a resource.