Introduction to Scientific Computing
Spring 2012
Course Content
This course introduces concepts and techniques for creating computational solutions to problems in engineering and science. The essentials of computer programming are developed using the C and Matlab languages, with the goal of enabling the student to use the computer effectively in subsequent courses. Programming topics include problem decomposition, control structures, recursion, arrays and other data structures, file I/O, graphics, and code libraries. Applications will be drawn from numerical solution of ordinary differential equations, root finding, matrix operations, regression, searching and sorting, simulation, and data analysis. Good programming style and computational efficiency are emphasized. Although no previous programming experience is assumed, a significant time commitment is required.
Students planning to pursue the engineering sciences major are advised to take ENGINEERING SCIENCES 20. Students considering the computer science major or majors modified with computer science should take COMPUTER SCIENCE 5.
Instructor
Petra Taylor
Room 111, MacLean
603-646-0116
Petra.B.Taylor@Dartmouth.edu
Office Hours
Monday, Wednesday: 12:30-2:30pm and by appointment
Room 111, MacLean
Classes
There will be three classes per week: Monday, Wednesday, and Friday from 11:15am to 12:20pm (11 hour). The x-hour is on Thursday from 12:00 to 12:50pm.
Text
Reading is from
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Bronson, "A First Book of ANSI C, 4th ed." |
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Attaway, "Matlab: A Practical Introduction to Programming and Problem Solving." |
References
On reserve in Feldberg Library:
Prerequisite
MATHEMATICS 3 and prior or concurrent enrollment in MATHEMATICS 8.
Homework
In this course you will learn to write computer programs in C and Matlab. Because you will be learning a new language, it is important that you practice the language frequently. To this end there will be daily computer programming excercises in addition to longer homework problems.
Blackboard
More information about this course can be found at the ENGS 20 Blackboard site. You can login to Blackboard using your DND username and password. If you have registered for ENGS 20, you will see a link for ENGS.020.01-SP12 in your "My Courses" list.







