Slides- - Calculus for Life Sciences MAT 1332 C Winter 2010 Jing Li Department of Mathematics and Statistics University of Ottawa March 8 2010 Jing

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Unformatted text preview: Calculus for Life Sciences MAT 1332 C Winter 2010 Jing Li Department of Mathematics and Statistics University of Ottawa March 8, 2010 Jing Li (UofO) MAT 1332 C March 8, 2010 1 / 39 Outline 1 Midterm 1 Grade Statistics 2 Feedback Questionaire 3 Linear Algebra I: Solving Linear Systems of Equations 4 Linear Algebra II: Vectors and Matrices Definition Operations Basic Matrix Operations Matrix-Vector Multiplication Matrix-Matrix Multiplication Jing Li (UofO) MAT 1332 C March 8, 2010 2 / 39 Midterm 1 Grade Statistics Table: Midterm 1 Grade Statistics Count: 169 Average: 18.8 Median: 19.5 Maximum: 29.5 Minimun: 2.0 Standard Deviation: 5.91 Jing Li (UofO) MAT 1332 C March 8, 2010 3 / 39 Midterm 1 Grade Statistics Midterm 1 Grade Statistics Jing Li (UofO) MAT 1332 C March 8, 2010 4 / 39 Feedback Questionaire Aspects that help learning Algorithms DGDs Help available outside class Examples in class Assignments Math help center Review sessions Jing Li (UofO) MAT 1332 C March 8, 2010 5 / 39 Feedback Questionaire Suggestions: Better English Better classroom Better blackboard presentation (notes ) Slow down (especially in the end of class) Practice midterms Better control of the class (too noisy) Better organization and better introduction More explanation Application in real lives DGDs should focus on similar problems for midterms and assignments. get class more involved in the lecture. More examples (difficult ones, close to tests and assignments, less parameters) Better TA picking do assignment questions in class more office hours Jing Li (UofO) MAT 1332 C March 8, 2010 6 / 39 Feedback Questionaire Changes that can be implemented get help from me, TA, help center. NOTEs (online) Better lecture presentation (organization, introduction, examples, explanation, application) Slow down speed Better control of the class (quite, get class more involved in lectures) Better questions in DGDs. (do hard assignment questions in DGDs) Jing Li (UofO) MAT 1332 C March 8, 2010 7 / 39 Linear Algebra I: Solving Linear Systems of Equations Reduced row-echelon form Definition leading entry , row-echelon form , and reduced row-echelon form The leading entry of a row in a matrix is the leftmost nonzero coefficient in that row. Jing Li (UofO) MAT 1332 C March 8, 2010 8 / 39 Linear Algebra I: Solving Linear Systems of Equations Reduced row-echelon form Definition leading entry , row-echelon form , and reduced row-echelon form The leading entry of a row in a matrix is the leftmost nonzero coefficient in that row. A matrix is in row-echelon form if the following three rules are true Jing Li (UofO) MAT 1332 C March 8, 2010 8 / 39 Linear Algebra I: Solving Linear Systems of Equations Reduced row-echelon form Definition leading entry , row-echelon form , and reduced row-echelon form The leading entry of a row in a matrix is the leftmost nonzero coefficient in that row....
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This note was uploaded on 03/19/2011 for the course MAT 1332 taught by Professor Munteanu during the Spring '07 term at University of Ottawa.

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Slides- - Calculus for Life Sciences MAT 1332 C Winter 2010 Jing Li Department of Mathematics and Statistics University of Ottawa March 8 2010 Jing

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