Introduction to Computational Science Tools
Prof. Lyle N. Long, EMail: LNL
Most of the lectures will given by members of the Research Computing and Cyberinfrastructure (RCC) Group or the Emerging Technologies Group which are divisions of Information Technology Services at Penn State University. Class e-mail for general queries: firstname.lastname@example.org. This is a required course for the Graduate Minor in Computational Science. (see also the Spring Course).
Upon the successful conclusion of this colloquium students should have an increased awareness of computing, software, networking, and visualization resources available at Penn State, and the necessary skills to use appropriate hardware and software for problems within their respective disciplines. Successful students will obtain the necessary skills to make informed decisions regarding how to proceed computationally when they need to tackle a class or research project that can benefit from such techniques, as well as information needed for follow-up investigation of specific techniques or resources that may be applicable in their future work.
Outline and Objectives:
And the end of each of the major sections of talks, there will be a roughly 10-15 min. quiz at the beginning of class where you will demonstrate some mastery of the previous week's topic. The course grade will be entirely based on these quizzes. You will be able to miss at most one of these.
There will be no exams as part of this colloquium.
Class attendance is mandatory. Due to the rotation of presenters and topics throughout the semester, much of the information presented in class may not be available elsewhere or at alternate times. Quizzes or assignments missed due to unscheduled absence or leaving a class early cannot be made up. If you know that you will need to miss an upcoming class please contact the class coordinator via e-mail (email@example.com) or telephone (814 865-5333) at least one-week prior to the class in question to determine whether alternate arrangements can be made for that session.
In the event of inclement weather you may check to see if classes are canceled by examining various Penn State resources such as the Penn State Portal (http://portal.psu.edu) or PSU Live ( http://live.psu.edu).
Academic Integrity Statement
All submitted work must be your own and not copied in whole or in part from another student or textbook. In addition, all material that is not your own (ideas or words) in papers must be properly cited. If you are not sure how to cite material in your paper, see your instructor. It is your responsibility to avoid plagiarism. Failure to comply with this rule could result in a failing grade and disciplinary procedures.
Penn State University's Definition and Expections: Academic integrity is the pursuit of scholarly activity in an open, honest and responsible manner. Academic integrity is a basic guiding principle for all academic activity at Penn State, and all members of the University community are expected to act in accordance with this principle. Consistent with this expectation, the University's Code of Conduct states that all students should act with personal integrity, respect other students' dignity, rights and property, and help create and maintain an environment in which all can succeed through the fruits of their efforts. Academic integrity includes a commitment not to engage in or tolerate acts of falsification, misrepresentation or deception. Such acts of dishonesty violate the fundamental ethical principles of the University community and compromise the worth of work completed by others.
Last modified: Thursday, 30-Apr-2009 12:05:45 EDT