{"id":11,"title":"Numerical Methods","credit_hour":"4","lecture_hour":"60","outcome":"<!DOCTYPE html>\r\n<html>\r\n<head>\r\n<\/head>\r\n<body>\r\n<ul>\r\n<li>Analyze the sources of errors in mathematical operations on the computer.<\/li>\r\n<li>Recognize major numerical methods and their merits and pitfalls.<\/li>\r\n<li>Calculate the computational cost of a range of numerical methods.<\/li>\r\n<li>Select and use software tools, based on their numerical methods, for a range of problems.<\/li>\r\n<li>Estimate the accuracy in approximated numerical solutions.<\/li>\r\n<\/ul>\r\n<\/body>\r\n<\/html>","description":"<!DOCTYPE html>\r\n<html>\r\n<head>\r\n<\/head>\r\n<body>\r\n<p>An introduction to modern numerical approximation techniques. Topics include floating point computation, accuracy and errors, solutions of single variable equations, interpolation, polynomial approximation, numerical differentiation and integration, methods for solving single variable equations, systems of linear equations, first order differential equations and initial value problems. MATLAB will be used in the lab class to solve problem sets.<\/p>\r\n<\/body>\r\n<\/html>","books":"<!DOCTYPE html>\r\n<html>\r\n<head>\r\n<\/head>\r\n<body>\r\n<ol>\r\n<li><a href=\"https:\/\/www.amazon.com\/Numerical-Methods-Engineers-Scientists-Second\/dp\/0824704436\" target=\"_blank\"><em>Numerical Methods for Engineers and Scientists<\/em> by Joe D. Hoffman and Steven Frankel<\/a><\/li>\r\n<li><a href=\"https:\/\/www.amazon.com\/Numerical-Methods-Using-Matlab-4th\/dp\/0130652482\" target=\"_blank\"><em>Numerical Methods Using Matlab<\/em> by John H. Mathews and Kurtis K. Fink<\/a><\/li>\r\n<\/ol>\r\n<\/body>\r\n<\/html>","created_at":"2016-08-03 20:10:04","updated_at":"2016-10-18 05:04:02"} Details | Department of Computer Science and Engineering, IUB

CSE 317 + Lab: Numerical Methods

Offered Under: B.Sc. in Computer Science & Engineering (CSE)

Description

An introduction to modern numerical approximation techniques. Topics include floating point computation, accuracy and errors, solutions of single variable equations, interpolation, polynomial approximation, numerical differentiation and integration, methods for solving single variable equations, systems of linear equations, first order differential equations and initial value problems. MATLAB will be used in the lab class to solve problem sets.

Prerequisites:

MAT 104 : Calculus and Analytical Geometry

MAT 212 : Probability & Statistics for Science and Engineering

CSE 211 + Lab : Algorithms

Course Type	Major
Credit Hour	4
Lecture Hour	60

Expected Outcome(s):

Analyze the sources of errors in mathematical operations on the computer.
Recognize major numerical methods and their merits and pitfalls.
Calculate the computational cost of a range of numerical methods.
Select and use software tools, based on their numerical methods, for a range of problems.
Estimate the accuracy in approximated numerical solutions.

Suggested Books:

Grading Policy:

Biweekly Quiz, One Midterm Exam, One Final Exam

Letter Grade	Marks	Grade Point
A	90 - 100	4.00
A-	85 - 89	3.70
B+	80 - 84	3.30
B	75 - 79	3.00
B-	70 - 74	2.70
C+	65 - 69	2.30
C	60 - 64	2.00
C-	55 - 59	1.70
D+	50 - 54	1.30
D	45 - 49	1.00
F	00 - 44	0.00