DHA Suffa University Karachi
Department of Basic Sciences
                    Linear Algebra and Ordinary Differential Equations
                                        BS-2303
TEACHER’S CONTACT DETAILS (To be filled in by instructor)
Instructor    Muhammad Ashhad Shahid
Room No       FF-130 (Main campus,DSU)
Office Hours  Friday (Whole day)
Email         9mashhad@gmail.com, ashhad.shahid@dsu.edu.pk
Telephone     Ext# 169
COURSE BASICS
Credit Hours     3
Course Code      BS-2303
Lecture(s)       No. of Lec(s) per Week        3      Duration                    50 minutes
Lab (per
                 No. of Lec(s) per Week       N/A     Duration                         -
week)
Tutorial (per
                 No. of Lec(s) per Week        0      Duration                         -
week)
COURSE DISTRIBUTION
Core          Yes
Elective      No
Class         CE-sem2, ME-2A/2B
Semester      2nd
COURSE DISCRIPTION
This course is based primarily on Linear Algebra and Differential Equations. This is an exciting course which
focuses on real world problems solving. Later this course will also discuss the applications of Ordinary
Differential Equations (ODEs) and Linear Algebra with problems in engineering
COURSE OBJECTIVES
        This is an introductory course of the Linear Algebra and Differential equations (DE) which includes
        an in-depth coverage of methods of solving system of linear equations and vectors spaces and
  1.
        linear combination of vectors, differential equations and mathematical modelling with
        differential equations for real word problems
                                                                                                  Page 1 of 3
COURSE LEARNING OUTCOMES
                                                                                       Taxonomy
S. No.                         CLO Statement                              Domain                      PLO
                                                                                         Level
         Illustrate how to solve a system of linear equations that
  1.                                                                     Cognitive          2           1
         appears in different engineering applications
         Solve first and second order differential equations and
  2.     partial differential equations using the concepts developed     Cognitive          3           1
         in the course
         Apply the concepts of ordinary derivatives and partial
  3.                                                                     Cognitive          3           1
         derivatives for modelling of physical systems
GRADING BREAKUP AND POLICY
Quizzes                  10%
Mid-Semester Exam        30%
Project/ Assignments and 10%
Class participation
Final Examination        50%
EXAMINATION DETAILS
                               Yes/No:                  Yes
Mid-Semester Exam              Duration:                120 minutes
                               Exam specifications:     Closed book, closed notes, calculators allowed
                               Yes/No:                  Yes
Final Exam                     Duration:                180 minutes
                               Exam specifications:     Closed book, closed notes, calculators allowed
COURSE PREREQUISITE(S)
BS-1301 Calculus & Analytical Geometry
WEEKLY COURSE OUTLINE
  Session                                          Session Topic
  Week 1    Matrices, special types, elementary row operations, echelon, reduced echelon form, rank
   (1-3)    of matrix, simultaneous linear equations, and homogeneous system of linear equations
            A combinatorial approach to determinants, properties, minors and cofactors, evaluating
 Week 2-3
            determinants by row reduction method. Inverse using cofactors, Cramer’s rule, vector in 2-
   (4-9)
            space and 3-space , norm, arithmetic, dot product, projection, cross product
  Week 4
            Gaussian elimination & Gauss Jordan methods.
  (10-12)
  Week 5    Lines and planes in 3-Space. Euclidean vector space, inner product, norm, distance, angle,
  (13-15)   linear transformations Rn, to Rm, properties of linear transformation
 Week 6-7   General vector spaces, inner product, norm, distance, angle, linear combinations,
  (16-21)   basis and dimension, row space, column space and null Space
 Week 8-9   Inner product space, angle and orthogonally in inner product space. orthogonal bases,
  (22-27)   Gram-Schmidt process, QR-decomposition
  Week 9    MID-SEMESTER EXAMINATION
 Week 10       Classification, formation, family of Curves, first order differential equations (DE) including
 (28-30)       variable-separable form, homogeneous / non-homogeneous DE
Week 11-12
               Exact / non-exact form
 (31-36)
                                                                                                  Page 2 of 3
  Week 13
              Linear and Bernoulli’s DE, Orthogonal trajectories.
  (37-39)
  Week14
              Linear homogeneous / non-homogeneous Higher ODEs with Constant Coefficient
  (40-42)
  Week 15
              Method of undetermined coefficients, Variation of parameter
  (43-45)
  Week 16     Solution of partial differential equations through direct method and method of separation
  (46-48)     of variable
              FINAL EXAMINATION
TEXTBOOK(S)/SUPPLEMENTARY READINGS
Reference Books:
 S. No.                 Book Title                   Author Name        Edition           Publisher
   1.    Advanced Engineering Mathematics            Erwin Kryszig    9th Edition        John Wiley
   2.    Elementary Linear Algebra                     Howard
                                                                      10th edition       John Wiley
                                                        Anton
         Differential Equations with Boundary        Dennis G Zill
  3.     Value Problems                                and M.R        9th edition       Brooks/Cole
                                                        Cullen
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