Welcome to the course! Meetings and communication: AC meetings

Slides:



Advertisements
Similar presentations
4.1 Introduction to Matrices
Advertisements

Applied Informatics Štefan BEREŽNÝ
Section 4.2 – Multiplying Matrices Day 2
3_3 An Useful Overview of Matrix Algebra
Maths for Computer Graphics
ICS 6N Computational Linear Algebra
Matrix Operations. Matrix Notation Example Equality of Matrices.
Psychology 202b Advanced Psychological Statistics, II January 18, 2011.
Review of Matrix Algebra
Part 3 Chapter 8 Linear Algebraic Equations and Matrices PowerPoints organized by Dr. Michael R. Gustafson II, Duke University All images copyright © The.
Chapter 2 Systems of Linear Equations and Matrices Section 2.4 Multiplication of Matrices.
4.2 Operations with Matrices Scalar multiplication.
1.3 Matrices and Matrix Operations.
MathematicalMarketing Slide 1.1 Linear Algebra Welcome to MAR 6658 Course Title Quantitative Methods in Marketing IV: Psychometric and Econometric Techniques.
ECON 1150 Matrix Operations Special Matrices
Presentation on Matrices and some special matrices In partial fulfillment of the subject Vector calculus and linear algebra ( ) Submitted by: Agarwal.
CHAPTER 2 MATRIX. CHAPTER OUTLINE 2.1 Introduction 2.2 Types of Matrices 2.3 Determinants 2.4 The Inverse of a Square Matrix 2.5 Types of Solutions to.
Review of Matrices Or A Fast Introduction.
Chapter 4 Matrices By: Matt Raimondi.
Matrices This chapter is not covered By the Textbook 1.
1.3 Matrices and Matrix Operations. Definition A matrix is a rectangular array of numbers. The numbers in the array are called the entries in the matrix.
Company LOGO Chapter 1: Matrix, Determinant, System of linear equations Module 1: Matrix Natural Science Department Example 1: The following rectangular.
Linear Algebra 1.Basic concepts 2.Matrix operations.
Linear algebra: matrix Eigen-value Problems Eng. Hassan S. Migdadi Part 1.
Fundamentals of Engineering Analysis
Meeting 18 Matrix Operations. Matrix If A is an m x n matrix - that is, a matrix with m rows and n columns – then the scalar entry in the i th row and.
Slide Copyright © 2009 Pearson Education, Inc. 7.3 Matrices.
Matrices: Simplifying Algebraic Expressions Combining Like Terms & Distributive Property.
MATRIX: A rectangular arrangement of numbers in rows and columns. The ORDER of a matrix is the number of the rows and columns. The ENTRIES are the numbers.
Distance Learning-Math 095 Course Orientation Dr. E. Fitt Bucks County Community College Click to advance the Slides.
Unit 3 Matrix Arithmetic IT Disicipline ITD 1111 Discrete Mathematics & Statistics STDTLP 1 Unit 3 Matrix Arithmetic.
Section 9-1 An Introduction to Matrices Objective: To perform scalar multiplication on a matrix. To solve matrices for variables. To solve problems using.
Algebra Matrix Operations. Definition Matrix-A rectangular arrangement of numbers in rows and columns Dimensions- number of rows then columns Entries-
Do Now: Perform the indicated operation. 1.). Algebra II Elements 11.1: Matrix Operations HW: HW: p.590 (16-36 even, 37, 44, 46)
Matrix Algebra Definitions Operations Matrix algebra is a means of making calculations upon arrays of numbers (or data). Most data sets are matrix-type.
Matrices, Vectors, Determinants.
A rectangular array of numeric or algebraic quantities subject to mathematical operations. The regular formation of elements into columns and rows.
An Introduction to Matrix Algebra Math 2240 Appalachian State University Dr. Ginn.
Linear Algebra by Dr. Shorouk Ossama.
Matrices.
College Algebra Chapter 6 Matrices and Determinants and Applications
MTH108 Business Math I Lecture 20.
MAT 322: LINEAR ALGEBRA.
Matrices and Vector Concepts
Linear Algebraic Equations and Matrices
MATRICES.
Chapter 4 Systems of Linear Equations; Matrices
Matrix Operations Free powerpoints at
Linear Algebra Lecture 2.
Lecture 2 Matrices Lat Time - Course Overview
Chapter 7 Matrix Mathematics
Welcome to the course! Meetings and communication: AC meetings
Matrix Operations.
Matrix Operations Free powerpoints at
Linear Algebraic Equations and Matrices
Linear independence and matrix rank
Matrix Multiplication
Matrix Operations.
L5 matrix.
Section 7.4 Matrix Algebra.
7.3 Matrices.
Lecture 11 Matrices and Linear Algebra with MATLAB
Engineering Analysis (EELE 3301)
Matrices and Matrix Operations
RECORD. RECORD COLLABORATE: Discuss: Is the statement below correct? Try a 2x2 example.
1.8 Matrices.
1.8 Matrices.
3.5 Perform Basic Matrix Operations Algebra II.
Matrices and Determinants
Presentation transcript:

Welcome to the course! Meetings and communication: AC meetings AC Class meetings Tuesday, 3:45-5:00 pm PT AC Office hours Monday, 3:30-4:30 pm PT Email kanarsky@stanford.edu Any time

Introduction (mine): MS Applied Math (Moscow State University, Russia) 1993 PhD Mathematics, MS Computer Science (Emory University, Atlanta) 2000 Taught Mathematics and Statistics in community colleges (Ohlone, DVC) Tutored various EPGY courses since 2011 Last three years: teaching university-level math courses at SPCS

Introduction (yours): Name Your grade level at school (in the pod) Where do you live? (on the map) Answer a question: if you happen to have few hours of free time, what would you do? (in the pod)

Pass/Fail could use parent proctoring Assessments: Two exams (midterm and final). No other assignments are to be submitted. Proctoring: Pass/Fail could use parent proctoring Letter Grade independent proctoring ( a teacher/counselor at school etc.) you receive a letter grade only when both exams are independently proctored you may switch a “letter grade” to a “non-letter grade” Proctor registration: you will register your proctor through the website (information will be provided) proctor will download/upload the exam through the proctor’s page Grading: The grading scale is: A: 86-100 A-: 83-85 B+: 80-82 B: 76-79 B-: 73-75 C+: 70-72 C: 65-69 C-: 60-64 NP: <60 The Pass/Fail scale: CR: 60-100 NP: <60 The course grade is the average of scores obtained on two exams.

What should you be ready for? To do a lot of independent work from the start! To allocate several hours per week for studying What should you expect? My prompt response to your messages on any issues (administrative or subject-related). My extensive feedback to your exam solutions. What should I expect from you? Your desire to learn and advance! Communicating with me for help when needed! I ask to be specific in your email: - indicate your course and your full name (and preferred name if there is one) - if asking about a problem from the textbook or a lecture, include the image of the problem or retype it

Weekly work: Listen to the lectures lagunita.stanford.edu Do online exercises course lectures/”Downloads” Read corresponding sections of the textbook Linear Algebra, by Bronson Do offline exercises download from “Downloads”

A matrix: Definition, notation a p × n matrix Give notation, define the size, and address elements. Which are square? Example:

Example:

Matrix operations : Addition properties of matrix addition Exercises:

Matrix operations: Scalar multiplication properties of scalar multiplication

Matrix operations : Multiplication Example: Each entry of AB is the product of a row and a column:

Understanding notation:

Practicing notation: For matrices A∈ 100 x 90 and B ∈ 90 x 80 set up the formula for the element of C=AB in the position (20,30).

Exercises: properties of matrix multiplication

Example: Exchanging rows

Multiplying a matrix by a column: two ways multiplying a row at a time multiplying a column at a time a combination of the three columns of A

Multiplying matrices: yet two more ways Row and Column Partitioning in row vectors in column vectors

Multiplying matrices: using row partitioning first row of C=AB row i of AB is the product of a row i of A times B (“a row by a matrix”)

Multiplying matrices: using column partitioning first column of C=AB column j of AB is the product of A and the column j of B (“a matrix by a column”)

Example: partitioning Questions:

COLLABORATE: Discuss: Is the statement below correct? Try a 2x2 example.

Matrix operations : Transposition properties of matrix transposition

Example: Matrix equations

Powers of Matrices: Must A be a square matrix? k times

Special Matrices: symmetric matrix skew-symmetric matrix diagonal matrix