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MA 402

Mathematics of Scientific Computing

Overview of the mathematical principles and challenges of the most important methods of scientific computing

Topics: floating point arithmetic, Monte Carlo methods, Fourier Analysis, Singular Value Decomposition, Regression and classification trees, Clustering


  • available online, see syllabus and slides

Final grade: determined by projects during the semester (60%), quizzes (20%) and a final exam (1:00-4:00, Wed., December 13, 20%). The students are welcome to think about the projects in group. Redaction and submission can also be done in groups (of 1, 2 or 3 students). The members of the group share the grade. Typesetting is encouraged but not required. Late submissions will be not accepted. The exams are individual and closed book.

Time and place: MW 1:30-2:45, 2225 SAS Hall.

Contact info: Pierre A. Gremaud, Dept. of Math., NCSU, Raleigh, NC 27695-8205, phone: 919-515-3085, email:

Full syllabus