General Information (Catalog listing)
Prerequisite: CALC2 or 01:640:136 or 138.
Systems of linear equations, Gaussian elimination, matrices and determinants, vectors in two- and three-dimensional Euclidean space, vector spaces, introduction to eigenvalues and eigenvectors. Possible additional topics: systems of linear inequalities and systems of differential equations.
Vectors in n-space, systems of linear equations, Gaussian elimination, span and linear independence of a set of vectors, matrix algebra, determinants, subspaces of n-space, basis and dimension, eigenvalues and eigenvectors, diagonalization of a matrix, geometry of vectors, projections, orthogonal sets of vectors, symmetric matrices, and applications.
Textbook: For current textbook please refer to our Master Textbook List page
The details of the syllabus and the timing of the midterm exams will vary from section to section. Each section of Math 250 has its own midterm exams and final exam. The final exam times are determined from the class meeting times. The room of the final exam may or may not be the usual lecture room! See the Final Exam schedule or the Math Department main website for updated details about final exams, when this information is available.
Course materials for all sections of Math 250
Course materials for Math 250C1, C2, etc.---the MATLAB sections
- Click here to access the webpage for the 250C (MATLAB) sections, where the MATLAB assignments can be found.
Suggested examination review materials for all sections of Math 250
- Suggested review problems for First Midterm Exam: problems brief solutions
- Suggested review problems for Second Midterm Exam: problems brief solutions
- Suggested review problems for Final Exam: problems brief solutions
Students are expected to follow the Rutgers Standards of Academic Integrity on the assignments, quizzes and exams in the course.
Another Resource for MATLAB
(Note: for the MATLAB Assignments for the MATLAB Sections C1, C2, etc, please refer to the Math 250C webpage instead)
- Matlab Tutorial (from MIT)