CSCI 2150-2150L Introduction to Computational Science

Course Syllabus, Spring 2010



INSTRUCTOR: Dr. Thiab R. Taha, e-mail: thiab@cs.uga.edu

OFFICE: Boyd Graduate Studies Research Center, Room 545

OFFICE HOURS: T, Th: 11:00 - 11:50 AM or by an appointment

PREREQUISITE: Math 1113 or Permission of Department

LECTURES: Tu, Th 09:30A-10:45A, Room C130, Life Science.

Labs: 12:20P-02:15P F or 02:30P-04:25P W, Room 0201, Boyd, GSRC

TOPICS COVERED:

    This course is computationally oriented. Topics include:
  1. Introduction to Scientific computing.
  2. Introduction to Matlab and other available software packages for numerical simulations.
  3. Number systems and computer arithmetic.
  4. Solution of linear systems of equations.
  5. Differentiation and integration.
  6. Root finding.
  7. Interpolation and curve fitting

COURSE OBJECTIVES : This course is designed for students in Science and Engineering. It will offer students a basic but solid background in numerical simulation for solving scientific problems. Students will learn to use MATLAB and/or other available symbolic and numerical computation software throughout the course. The course will cover essentially the main topics mentiond above.

HOMEWORK: Will be assigned and collected in lectures and/or in the Lab. No late homeworks will be accepted.

GRADING:

  • Homeworks and Labs 25%
  • Exam1 20%
  • Exam2 20%
  • Final Exam 35%
  • MAKE UP TESTS: No make up tests.

    Unexcused test absences result in a score of zero for the missing test. Excused absences require extenuating circumstances and advance notice; the missing grade will be replaced by the Final Exam grade.

    All adjustments to any grade must be made within 3 days of the work being returned in class. Absolutely no adjustments and no late work will be accepted after the last class period.

    Note: The course syllabus provides a general plan for the course; deviations may be necessary.

    ACADEMIC HONESTY: All students are responsible for maintaining the highest standards of honesty and integrity in every phase of their academic careers. The penalties for academic dishonesty are severe and ignorance is not an acceptable defense. The Department Policy applies: see overleaf.

    (OVER)