Computing for Scientists
Dr. Jie Zhang
Home (Last Modified: Aug. 26, 2010)
Syllabus (print version in PDF)
Description: This is a newly approved course (April, 2010) for science majors at GMU and fulfills the General Education Information Technology requirement. In this course, students will learn how to use computers to solve practical scientific problems. Topics will include creating effective scientific presentations, analysis of experimental data, on-line literature, data/information ethics, scientific modeling, and communication/collaboration tools. Beyond just introducing computing tools, this course will equip students with the knowledge and confidence they need to make productive use of future hardware and software both as students and throughout their career
Software Tools: Excel, Matlab
Homework: There will be a weekly homework. Homework will be multiple choice and short answer. The grading scheme for short answer questions is 0/1/2, where 2 = substantial understanding of concepts and/or correct answer and at most one grammatical error; 1 = an understanding of underlying concepts, with some gaps and/or almost correct answer and at most two grammatical errors; 0 = little or no understanding of concepts and/or incorrect answer. Answers should be 1-5 sentences in length.
Project: There will be one comprehensive project throughout the semester. The project will consist of multiple phases, each of which has its own requirement and due date.
Exams: There will be one midterm and one final exam.
Grading: Homework (25%), Project (20%), Midterm (25%), Final Exam (25%), Class Participation (5%)
Text Book: None - no suitable textbook exists for this course. On-line notes and web-based content will be used to supplement the lectures and in-class assignments.Honor Code: As in any class, you are allowed to study with other students. However, tests and homework assignments must be completed on your own unless stated specifically in the assignment guidelines. In some assignments, you will be directed toward on-line sources for papers, data and code. If these data, code, or papers are used for a project, then you MUST cite where it came from. Specifically, you may not copy any text, computer code, image, data or any other material from the Internet or any other source and represent it as your own. Any material that is taken in whole or in part from any other source (including web-pages) that is not properly cited will be treated as a violation of Mason's academic honor code and will be submitted to the honor committee for adjudication, as will other violations of the honor code.