Credit Weight: 0.5 Description: The first part of the course is an introduction to matrix algebra. Solutions of simultaneous equations. Gaussian elimination. Vector and matrix notation. Determinants. Linear independence. Eigenvectors and diagonalization.The second part of the course is an introduction to probability and statistics. Simple ways of analyzing data. Concept of probability. Discrete and continuous probability. Point and interval estimation. Significance tests. Regression and correlation analysis. Offering: 0-0; 3-1

Mathematics 2070 Applied Analysis II

Credit Weight: 0.5 Description: The first part of the course is an introduction to matrix algebra. Solutions of simultaneous equations. Gaussian elimination. Vector and matrix notation. Determinants. Linear independence. Eigenvectors and diagonalization.The second part of the course is an introduction to probability and statistics. Simple ways of analyzing data. Concept of probability. Discrete and continuous probability. Point and interval estimation. Significance tests. Regression and correlation analysis. Offering: 0-0; 3-1




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