|Instructor||David Ferry, Homepage|
|Course Web Site||http://cs.slu.edu/~dferry/courses/csci1060/|
|Course meeting times||Monday, Wednesday, & Friday from 12:00 - 12:50, McDonnell Douglas Hall Rm. 1066|
||Feb 22nd, Mar 31st, in class
||May 12th, 12:00PM - 1:50PM
|Office hours||By appointment (email), feel free to stop by (schedule)|
Computing allows scientists and engineers to quantify and analyze problems to a terrific degree. The particulars of how computers are used will vary from field to field and problem to problem, but the process of computer programming is similar for everybody. This is because computers are ultimately machines that are incapable of original thought or imagination. Using one effectively requires a solid understanding of what a computer is and is not capable of, and then the mental plasticity to transform the real-world problem into a computer model that (hopefully) bears some significance to the original problem that must be solved. The goal of this course is to teach students this process of solving real-world scientific and engineering problems via computer programming.
Learning Outcomes- At the end of this course, students should be able to:
Catalog Description: Elementary computer programming concepts with an emphasis on problem solving and applications to scientific and engineering applications. Topics include data acquisition and analysis, simulation and scientific visualization.
This course owes a debt of gratitude to Prof. Michael Goldwasser, who designed the original course material and format.
Required course textbook: MATLAB An Introduction with Applications, 5th Ed by Amos Gilat, Wiley, 2015
(book's website - supplementary videos, example problems, and errata)
There will be approximately 10 assignments for this course and a course project. These are a mix of written and programming assignments whose purpose is to apply course concepts.
Assignments submitted on time will be given full credit. Assignments submitted up to 24 hours late will be given a ten percent penalty. Assignments submitted between 24 hours and 48 hours late will be given a twenty percent penalty. Assignments submitted after 48 hours late will not be given credit, except in the case of extenuating circumstances pre-approved by the instructor.
A tentative course schedule is below. Note that this schedule may change over the course of the semester. When changes occur, students will be given enough advance notice so that readings and other preparation may be accommodated.
|Jan 16-Jan 20||Mon||No Class: Martin Luther King Day|
|Wed||Introduction, Course Overview||Syllabus (this website)|
Overview of MATLAB
Scalars, operators, and precedence
|Gilat Ch. 1|
|Jan 23-Jan 27||Mon||Vectors in MATLAB||Gilat Ch. 2||Homework #1 Assigned|
|Wed||Two-Dimensional Arrays in MATLAB|
|Fri||Vectorized Operations||Gilat Ch. 3.1 - 3.6||Homework #1 Due|
|Jan 30-Feb 3||Mon||Plotting Data||Gilat Ch. 5.1 - 5.4||Homework #2 Assigned|
|Wed||Case Study: Rolling Pairs of Dice||Gilat Ch. 5.8|
|Fri||Control Structures||Gilat Ch. 6.1 - 6.6||
Homework #2 Due
Saturday Feb. 4th
|Feb 6-Feb 10||Mon||
Case Study: The Motion of a Ball
|Homework #3 Assigned|
Case Study: Approximate Motion of a Ball
|Fri||Control Structures: Stock Market Analysis||Homework #3 Due|
|Feb 13-Feb 17||Mon||Basic Input and Output Commands||Gilat Ch. 4||Homework #4 Assigned|
|Wed||More Stock Market Analysis|
|Fri||Functions||Gilat Ch. 7|
|Feb 20-Feb 24||Mon|
|Wed||First Exam (includes material through Feb 15)|
|Fri||Case Study: Record Rainfall||Homework #4 Due|
|Feb 27-Mar 3||Mon||
Use of subfunctions
Case Study: Stock Market Analysis solution set
Case Study: the gambler
|Homework #5 Assigned|
The gambler simulation and random walks
|Mar 6-Mar 10||Mon||Iterative Solvers|
|Wed||More on Iterative Solvers||Assignment #5 Due|
|Mar 13-Mar 17||Mon||No Class: Spring Break|
|Mar 20-Mar 24||Mon||File I/O||Gilat Ch. 4.3-4.4|
|Wed||Case Study: DNA to RNA Transcription||Homework #6 Assigned|
|Fri||Case Study: Encryption|
|Mar 27-Mar 31||Mon||Cell Arrays, Structures|
|Wed||Exam review programs: approxPi.m, argDemo.m, convertASCII.m, myAverage.m||Homework #6 Due|
|Fri||Second Exam (download result.txt, warpeace.txt, and pickRPS.p)|
|Apr 3-Apr 7||Mon||Basic sound processing in MATLAB||
Project Proposal Assigned
Homework #8 Assigned
|Fri||Project Proposal Due|
|Apr 10-Apr 14||Mon||Traversing Mazes|
|Fri||No Class: Good Friday|
|Apr 17-Apr 21||Mon||No Class: Easter Monday|
Homework #8 Due
Homework #9 Assigned
|Apr 24-Apr 28||Mon|
|Fri||Finding components of an image||Homework #9 Due|
|May 1-May 5||Mon||An Introduction to C++ Programming|
|May 8||Mon||Project Presentations|
|May 12th||Fri||Project Presentations (12:00PM-1:50PM) Presentation and Project Submission Guidelines|
Your grade will be determined as follows:
|Midterm Exams||15% each|
Grading is done on a straight scale (uncurved). The following scores are guaranteed. The grading scale may be curved upwards (in your favor) at the discretion of the instructor.
The majority of this course is centered around using MATLAB, an industry standard software for scientific and engineering computing. You can access this software in at least the following ways:
Computer labs: The computers in McDonnell Hall should all have access to MATLAB.
Departmental server: You can use MATLAB from most personal machines by connecting to the Computer Science department server called Hopper. When you are enrolled in this course you should automatically be emailed login credentials. (If not, contact Dennis Thomas.) You can then login by:
You can install MATLAB on your personal machine and use it via SLU's license via the instructions here. (I have not tried this- contact SLU IT for support. Report back to class!)
You can purchase a MATLAB student license for use on your personal machine directly from Mathworks here for $99. (There is a cheaper option, but if you are planning on going this route it is worthwhile to get the full package, as your other classes are likely to need the full software suite.)
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