CS 370 - Intro. to Scientific Computing
Fall Semester 2003, Section 30775TextBook: Scientific Computing - An Introductory Survey
by Michael T. Heath (2nd Ed., McGraw Hill).Prerequisites: Students must have successfully completed CS140 (Data Structures) and M241 (Calculus III) and M251 (Matrix Algebra I) ( click here for descriptions of M241 and M251 from the Undergraduate Catalog). Students who have not completed CS140, M241, and M251 prior to the first day of class, will be dropped from the roll. This course is required for the Computer Engineering BS degree and is an elective for the Computer Science BS degree.
Grades: Points are awarded throughout the term for laboratory and homework assignments (25%), two in-class exams (50%), and the final exam (25%). Percentages denote only an estimate of the portion of final grade attributed to each item, and the point distribution is subject to change. This course is conducted according to departmental policy which is observed by all professors and graduate teaching assistants who participate in it. Please note that under no circumstances will cheating be tolerated. Enrolled students must submit a signed honor pledge statement before submitting any work for grading.
Deadlines: There will be no make-up exams or labs throughout the semester. All homework/worksheet assignments are due on the specified dates. Late homework will not be accepted - no exceptions!
Week(s) Topic = completed
1 Scientific Computing Intro. 2-3 Systems of Linear Equations 4-5 Linear Least Squares 6-7 Nonlinear Equations 8-9 Optimization 10 Interpolation 11-12 Integration and Differentiation 13-14 IVPs and ODEs 15-16 PDEs