## Introduction to Scientific Computing

### Spring 2013

### 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 Tuesday from 12:00 to 1:00pm.

### Text

Reading is from

Bronson, "A First Book of ANSI C, 4th ed." | |

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 exercises in addition to longer homework problems.

### Canvas

This course is participating in Dartmouth's spring term Learning Management System pilot program. We will be testing out a system called Canvas.

More information about this course can be found at the ENGS 20 Canvas site. Log into Canvas with your regular Dartmouth username and password at dartmouth.instructure.com.