Theory Course Outline OBE Linear Algebra PDF

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Department of

Mechanical Engineering Course Outline MATH-2103 LINEAR ALGEBRA (3 Credit Hours) Pre-Requisite: Calculus and Analytical Geometry Instructor: Engr. Muhammad Zahid Office: Mechanical Engineering Department, KFUEIT Email: [email protected] Office Hours:10:30am - 12:30 pm

Course Introduction This is a course related to mathematics. So, after successful completion of this course students will be able to solve mathematical problems with their knowledge and somehow know how to solve it using software(s). Course Contents Algebra of linear transformations and matrices. determinants, rank, systems of equations, vector spaces, orthogonal transformations, linear dependence, linear Independence and bases, eigenvalues and eigenvectors, characteristic equations, Inner product space and quadratic forms.

Mapping of CLOs and PLOs Course Learning Outcomes PLOs

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CLO Assessment Mechanism

Assessment tools Quizzes / Assignments Mid semester Exam Final Exam

CLO_1 CLO_2 Overall Grading Policy Assessment Items Percentage Sessional (Quizzes + Assignments + ppts) 20% Midterm Exam 30% Final Exam

50%

Text and Reference Books

CLO_3 -

Text books: • Elementary Linear Algebra by Howard Anton • Linear Algebra and its Applications by Gibert Strang Reference books: • David C Lay_ Steven R Lay_ Judi J McDonald - Linear Algebra and Its Applications Pearson (2020) Administrative Instructions ▪ ▪ ▪

According to institute policy, 75% attendance is mandatory to appear in the final examination. Assignments and report must be submitted as per announced format and within due date. For queries, kindly follow the office hours in order to avoid any inconvenience. Lecture Breakdown Week 01

Introduction of vectors and matrices

Week 02

Determinant, rank, systems of equations

Week 03

Different methods to solve matrices

Week 04

Vector spaces

Week 05

Orthogonal transformations

Week 06

linear dependence, linear Independence and bases,

Week 07

linear dependence, linear Independence and bases,

Week 08

eigenvalues and eigenvectors, characteristic equations

Week 09

eigenvalues and eigenvectors, characteristic equations

Week 10

Inner product space and quadratic forms

Week 11

Inner product space and quadratic forms

Week 12

Linear algebra using Python / MATLAB

Week 13

Linear algebra using Python / MATLAB

Week 14

Linear algebra using Python / MATLAB

Week 15

Linear algebra using Python / MATLAB

Week 16

Linear algebra using Python / MATLAB...