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1. Introduction
Welcome to CDS 130 - Computing for Scientists
This course fulfills GMU's General Education "Information Technology with Ethics" requirement.
In this course, students learn the fundamentals of the computational approach to scientific problem solving. No prior programming experience is required; an intuitive step-by-step approach is taken. Students:
- Learn how a computer works internally, including binary data representation and manipulation, and digital logic circuits;
- Learn basic programming concepts including assignment, conditional statements, iteration, arrays, and matrices;
- Use these programming concepts to develop simple simulations and represent algorithms using MATLAB;
- Develop and implement computational models that solve problems encountered frequently in scientific computing, such as image processing, pattern recognition, population dynamics, stochastic simulations, and numerical integration;
- Understand the importance and use of verification and validation;
- Understand several important concepts related to IT security and Ethics; and
- Use on-line scientific collaboration tools to work on group projects and contribute to class discussions.
2. Drop-in help sessions
From 1-5 pm. No appointment needed:
- Mon, May 07 2012 Johnson Center 234
3. Interested in Medical School?
- Thinking of applying to medical school? Then consider adding some computational & data sciences (CDS) classes to your schedule. You may even want to think about a CDS minor!
- Take a look at the following medical school applicant data from the American Association of Medical Colleges (current as of December 20, 2011). You'll discover that applicants with backgrounds in mathematics and the physical sciences topped the charts in both highest overall MCAT scores AND matriculant-to-applicant ratios:
- A background in CDS enhances your chances of success because CDS sits right at the intersection of mathematics, the physical sciences and computer science. So, CDS students obtain experience in all three fields, simultaneously!
- GMU's Computational & Data Sciences B.S. degree is the only one of its kind on the U.S. eastern seaboard. We feature vibrant, well-funded research in computational medicine. Our programs are outstanding preparation for those interested in medical school, graduate study in computational medicine, or combined MD/PhD programs such as those at: Johns Hopkins, the University of Maryland, Virginia Commonwealth University, the University of Virginia, or Virginia Tech's joint program with Wake Forest University.
- Data science is the wave of the future, and GMU's CDS B.S. degree is your gateway to that future: "GOOD with numbers? Fascinated by data? The sound you hear is opportunity knocking." (reference: latest New York Times article)
- If you're interested in learning more about how CDS expertise can unlock your future, then please contact Professor Kirk Borne (kborne@gmu.edu) or Professor Robert Weigel (rweigel@gmu.edu). They'll be happy to help you explore your options.
- Above data: source
- Above chart: source
4. Current Classes
5. Previous Classes
(For more about the content and layout of http://cds130.org/, see Devel.)
5.1. Fall, 2011
- Instructor: Zhang, CDS 130-001, TR, 10:30-11:45am, Innovation Hall 330
- Instructor: Marr, CDS 130-003 ,TR, 9:00-10:15am Innovation Hall 222
5.2. Summer, 2011
5.3. Spring, 2011
- Instructor: Weigel, CDS 130-001, TR 10:30:11:45, Innovation Hall 326
- Instructor: Sheng, CDS 130-002, MWF 10:30-11:20 Research I 302
