CSCI 1060 - Scientific Programming

Spring 2018

1. Course Description
2. Acknowledgements
3. Prerequisites
4. Assignments
5. Course Schedule
6. Textbooks and Other Resources
7. Grading
8. Links
9. Academic Honesty
10. Academic Support
11. Disability Services
12. Title IX Statement

Course Description

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 (or more generally- computer-aided problem solving) is similar for everybody. Computers are 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:

• Solve word problems with a computer
• Write a program to solve a parameterized problem (i.e. solve a class of word problems)
• Simulate simple physical situations deterministically and stochastically
• Use computer data to support the selection of a solution out of several competing alternatives
• Use functions to divide a program into small, easy to read and maintain pieces of code
• Use appropriate control structures (if-else statements, for loops, while loops, etc.) to achieve a desired result and structure code

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.

Acknowledgements

This course owes a debt of gratitude to Prof. Michael Goldwasser, from whom I took the original course material and format.

Prerequisites

• Calculus I or concurrent enrollment in same

Textbook

Recommended course textbook: MATLAB An Introduction with Applications by Amos Gilat, Published by Wiley

Note: The textbook is recommended for your benefit as a supplementary resource but is not required. Any recent edition of the book is suitable.

(book's website - supplementary videos, example problems, and errata)

Assignments

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.

Course Schedule

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.

Grading

Your grade will be determined as follows:

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.

• 93% guarantees an A
• 90% guarantees an A-
• 87% guarantees a B+
• 83% guarantees a B
• 80% guarantees a B-
• 77% guarantees a C+
• 73% guarantees a C
• 70% guarantees a C-
• 60% guarantees a D

Links / Resources

MATLAB

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:

• You can install MATLAB on your personal machine and use it via SLU's license via the instructions here.

• 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:

  1. Download and install the free software NoMachine
  2. Manually create a new connection. The connection protocol is SSH over port 22. The server/hostname you to connect to is "hopper.slu.edu"
  3. Click to connect- the first time you will have to accept the server's SSH key.
  4. Find "Terminal" or "XTerm" in the applications menu. In the terminal type "matlab" and press enter.
  5. Note- please LOG OUT of Hopper when you are done using it. DO NOT just hit the red X at the top of the NoMachine window. This second method will not actually close your virtual desktop- it will continue to run and consume department resources, making the system admin very upset! (He will probably close your desktop for you as well.) Individually you won't cause a big problem, but a hundred idle desktop sessions can cause noticeable problems for other users.

Great reads that deal with computing in an engineering context:

• Skunk Works: A Personal Memoir of My Years at Lockheed by Ben Rich - Discusses (among other things) how computers helped the F117 stealth fighter achieve a stealthy radar cross section the size of a 3mm ball bearing.

• Failure Is Not an Option: Misson Control From Mercury to Apollo 13 and Beyond by Gene Kranz - Discusses (among other things) the evolution of the computer command and control technology from the early Redstone rocket program through the Apollo program. Includes a great discussion of the infamous 1201 and 1202 program alarms that ocurred in the Apollo Guidance Computer during the Apollo 11 lunar descent phase.

• What Really Happened on Mars? by Mike Jones and a follow up first person account by Mars Pathfinder software team lead Glenn Reeves of NASA's Jet Propulsion Laboratory. Both discuss the cause and resolution of a computer failure that threatened the wildly successful Mars Pathfinder mission. Relatively technical.

Academic Honesty

Academic integrity is honest, truthful and responsible conduct in all academic endeavors. The mission of Saint Louis University is "the pursuit of truth for the greater glory of God and for the service of humanity." Accordingly, all acts of falsehood demean and compromise the corporate endeavors of teaching, research, health care, and community service via which SLU embodies its mission. The University strives to prepare students for lives of personal and professional integrity, and therefore regards all breaches of academic integrity as matters of serious concern.

The governing University-level Academic Integrity Policy was adopted in Spring 2015, and can be accessed on the Provost's Office website here. The College of Arts and Sciences policies on academic honesty can be found here.

If you are ever in doubt whether a particular action is a violation of academic honesty, please ask first!

Academic Support

In recognition that people learn in a variety of ways and that learning is influenced by multiple factors (e.g., prior experience, study skills, learning disability), resources to support student success are available on campus. The Student Success Center assists students with academic and career related services, is located in the Busch Student Center (Suite, 331) and the School of Nursing (Suite, 114). Students can visit www.slu.edu/success to learn more about:

• Course-level support (e.g., faculty member, departmental resources, etc.) by asking your course instructor.
• University-level support (e.g., tutoring services, university writing services, disability services, academic coaching, career services, and/or facets of curriculum planning).

Disability Services

Students with a documented disability who wish to request academic accommodations must contact Disability Services to discuss accommodation requests and eligibility requirements. Once successfully registered, the student also must notify the course instructor that they wish to access accommodations in the course.

Please contact Disability Services, located within the Student Success Center, at Disability_services@slu.edu or 314.977.3484 to schedule an appointment. Confidentiality will be observed in all inquiries. Once approved, information about the student’s eligibility for academic accommodations will be shared with course instructors via email from Disability Services and viewed within Banner via the instructor’s course roster.

Note: Students who do not have a documented disability but who think they may have one are encouraged to contact to Disability Services.

Title IX Statement

Saint Louis University and its faculty are committed to supporting our students and seeking an environment that is free of bias, discrimination, and harassment. If you have encountered any form of sexual misconduct (e.g. sexual assault, sexual harassment, stalking, domestic or dating violence), we encourage you to report this to the University. If you speak with a faculty member about an incident of misconduct, that faculty member must notify SLU’s Title IX coordinator, Anna R. Kratky (DuBourg Hall, room 36; akratky@slu.edu; 314-977-3886) and share the basic facts of your experience with her. The Title IX coordinator will then be available to assist you in understanding all of your options and in connecting you with all possible resources on and off campus.

If you wish to speak with a confidential source, you may contact the counselors at the University Counseling Center at 314-977-TALK. To view SLU’s sexual misconduct policy and for resources, please visit the following web addresses: http://www.slu.edu/general-counsel-home/office-of-institutional-equity-and-diversity/sexual-misconduct-policy www.slu.edu/here4you