CMSC460 - Computational Methods

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Revision as of 12:25, 24 October 2016 by Alyssa (talk | contribs)

Course Information
Basic computational methods for interpolation, least squares, approximation, numerical quadrature, numerical solution of polynomial and transcendental equations, systems of linear equations and initial value problems for ordinary differential equations. Emphasis on methods and their computational properties rather than their analytic aspects. Intended primarily for students in the physical and engineering sciences.

Instructor Section Day & Time Location
Daisy Dahiya 0101 MWF 10:00AM - 10:50AM MTH 1308
Tobias von Petersdorff 0201 MWF 1:00PM - 1:50PM MTH 0303
Doron Levy 0301 TuTh 11:00AM - 12:15PM MTH B0427

Course Prerequisite(s)
Prerequisite: MATH240 and MATH241; and (CMSC106 or CMSC131); and permission of CMNS-Computer Science department. Or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program. Also offered as: AMSC460. Credit only granted for: AMSC460, AMSC466, CMSC460, or CMSC466.

Class Webpage
Spring 2016.

Hours Per Week


Languages Used


Recommended Prior Experience


Projects, Exams, or other Assessments


Misc Info

Doron Levy | 0301[edit]

Day & Time Location
TuTh 11:00AM - 12:15PM MTH B0427

Course Prerequisite(s)
Prerequisite: MATH240 and MATH241; and (CMSC106 or CMSC131); and permission of CMNS-Computer Science department. Or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program. Also offered as: AMSC460. Credit only granted for: AMSC460, AMSC466, CMSC460, or CMSC466.

Class Webpage
Spring 2016.

Hours Per Week
Depends on the level of preparation

Languages Used
MatLab

Recommended Prior Experience
Courses in calculus, linear algebra, ODEs (Which is not an official prerequisite)


Projects, Exams, or other Assessments
Typically I assign weekly homework, 2 midterm exams, and one final exam.


Misc Info