MATH260 Term 092 Dr Faisal Fairag Instructor Dr

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MATH-260 Term: 092 Dr. Faisal Fairag

MATH-260 Term: 092 Dr. Faisal Fairag

Instructor : Dr. Faisal Abdul-Karim Fairag ﻓﻴﺼﻞ ﻋﺒﺪ ﺍﻟﻜﺮﻳﻢ ﻓﻴﺮﻕ. ﺩ Office 5 -432

Instructor : Dr. Faisal Abdul-Karim Fairag ﻓﻴﺼﻞ ﻋﺒﺪ ﺍﻟﻜﺮﻳﻢ ﻓﻴﺮﻕ. ﺩ Office 5 -432 Phone: 860 -4463 Introduce yourself Your Name e-mail: ffairag@kfupm. edu. sa Home page: http: //faculty. kfupm. edu. sa/math/ffairag Math-260 Homepage : http: //faculty. kfupm. edu. sa/math/ffairag/math 260_092 Your Major

Write your name in Arabic

Write your name in Arabic

Differential Equation What is it ? Ex am pl es An equation containing derivatives

Differential Equation What is it ? Ex am pl es An equation containing derivatives is said to be a differential equation (DE) Dr. Faisal fairag

Linear Algebra What is it ? Matrices Ex am pl es Vector spaces Dr.

Linear Algebra What is it ? Matrices Ex am pl es Vector spaces Dr. Faisal fairag

Where it appear

Where it appear

ap pe ar W he re it Mechanical Eng. Dr. Faisal fairag

ap pe ar W he re it Mechanical Eng. Dr. Faisal fairag

ap pe ar W he re it Chemical Eng. Dr. Faisal fairag

ap pe ar W he re it Chemical Eng. Dr. Faisal fairag

ap pe ar W he re it Electrical Eng. Dr. Faisal fairag

ap pe ar W he re it Electrical Eng. Dr. Faisal fairag

ap pe ar W he re it Civil Eng. Dr. Faisal fairag

ap pe ar W he re it Civil Eng. Dr. Faisal fairag

ap pe ar W he re it Heat Transfer Dr. Faisal fairag

ap pe ar W he re it Heat Transfer Dr. Faisal fairag

ap pe ar W he re it Civil Eng. Dr. Faisal fairag

ap pe ar W he re it Civil Eng. Dr. Faisal fairag

ap pe ar it re W he Dr. Faisal fairag

ap pe ar it re W he Dr. Faisal fairag

Image Processing Data Compression Cryptography Graph Theory Genetics Numerical Analysis Applications of Linear Algebra

Image Processing Data Compression Cryptography Graph Theory Genetics Numerical Analysis Applications of Linear Algebra Least Square approximation Trafic Flow Electrical Circuits Genetics Economic Model

Part I: Linear Algebra Part. II: Differential Equations Part I: Linear Algebra Differential Equations

Part I: Linear Algebra Part. II: Differential Equations Part I: Linear Algebra Differential Equations 3. 4 Matrix Operations 3. 5 Inverse of Matrices Section 3. 6 Topic Determinants 3. 1 4. 1 Introduction to Linear The Vector Space. Systems R 3 3. 2 4. 2 Matrices Gaussian The and Vector Space Elimination Rn & Subspaces 3. 3 4. 3 Reduced Row-Echelon Matrices Linear Combination & Independence of Vectors 3. 3 4. 4 Reduced Row-Echelon Matrices Bases & Dimension for Vector Spaces 3. 4 4. 5 Matrix Operations Row and Column Spaces 3. 5 6. 1 Inverse of Matrices Introduction to Eigenvalues 3. 6 Determinants Exam -1 (Sund Mar 28) 6 pm B 54 ( 3. 1 - 4. 5 ) 4. 1 6. 2 The Vector Space R 3 of Matrices Diagonalization n & Subspaces 4. 2 6. 3 The Vector Space R Applications involving Powers of Matrices 4. 3 7. 5 Linear. Jordan Combination & Independence of Vectors form (pp 454 -457) 4. 4 7. 5 Bases. Jordan & Dimension Vector Spaces form (ppfor 454 -457) 4. 5 1. 1 Row and Column. Equations Spaces and Mathematical Models Differential 6. 1 1. 2 Introduction to Eigenvalues Integrals as General & Particular Solutions (page: 10 -11) Exam -1 (Sund Mar 28) 6 pm B 54 ( 3. 1 - 4. 5 ) 6. 2 Midterm Diagonalization of Matrices Midterm Vacation Separable Equations & Applications 6. 3 1. 4 Applications involving Powers of Matrices 1. 5 Linear First-Order Equations 7. 5 Jordan form (pp 454 -457) Exam (Sund May 2) 6 pm B 54 ( 6. 1 - 1. 5 ) 7. 5 Jordan form-2(pp 454 -457) Substitution Methods & Exact Equations 1. 1 1. 6 Differential Equations and Mathematical Models 2. 4 Euler's Method 1. 2 Integrals as General & Particular Solutions (page: 10 -11) 5. 1 Second-Order Linear Equations Midterm 5. 2 Vacation General Solutions of. Midterm Linear Equations 1. 4 5. 3 Separable Equations & Applications Homogeneous with Constant Coefficients 1. 5 5. 5 Linear. Method First-Order Equations Coefficients of Undetermined -2 (Sund May 2) 6 pm B 54 ( 6. 1 - 1. 5 ) 7. 1 Exam. First-Order Systems & Applications 1. 6 7. 2 Substitution Methods & Systems Exact Equations Matrices & Linear 2. 4 7. 3 Euler's Method The Eigenvalue Method for Linear Systems 5. 1 7. 5 Second-Order Linear Equations Multiple Eigenvalue Solutions 5. 2 7. 5 General Solutions of Linear Equations Multiple Eigenvalue Solutions (contd. ) 5. 3 Homogeneous Equations with Constant Coefficients

Computational Flavor: 250 computer generated graphics (MATLAB) Over 30 Computing Projects Numerical emphasis Problem

Computational Flavor: 250 computer generated graphics (MATLAB) Over 30 Computing Projects Numerical emphasis Problem Projects and website (here) Student Solutions Manual

Read & Read: Pencil & Paper: Dr. Faisal fairag

Read & Read: Pencil & Paper: Dr. Faisal fairag

How to read an example: Dr. Faisal fairag

How to read an example: Dr. Faisal fairag

Proposed Grading Policy Exam 1 : 200 Exam 2 : 200 Final : 350

Proposed Grading Policy Exam 1 : 200 Exam 2 : 200 Final : 350 Hw 60 Quizes : 170 Attendance: 20 Total = 1000 * DN grade: Immediately after 9 unexcused absences. *-5 for each unexcused absence * -2 for each unsubmitted homework. * Homework are due Monday *Important Note: No makeup exam ( see the date and time in the syllabus ) *Final exam is comprehensive. Dr. Faisal fairag

Form Group Dr. Faisal fairag

Form Group Dr. Faisal fairag

Expectations Show me that you are working hard Absent and late are indications of

Expectations Show me that you are working hard Absent and late are indications of lazy student ﻣﻦ ﻏﺸﻨﺎ ﻓﻠﻴﺲ ﻣﻨﺎ Dr. Faisal fairag

Dr. Faisal fairag

Dr. Faisal fairag