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Engineering Mathematics II


Engineering Mathematics II
EG 1201 SH
                                                                                   Total: 4   hour /week
Year:        I                                                             Lecture: 3 hours/week 
Semester:  II                                                         Tutorial: 1 hours/week
                                                                                                                Practical:  hours/week          Lab:  hours/week
Course Description: 
This subject consists of five units related to vectors; algebra; calculus; geometry; and statistics necessary to develop mathematical background helpful for the understanding and practicing the related engineering works.
Course Objectives: 
After the completion of this course, students will be able to: 
1.         Explain the concepts of vectors in plain and vectors in space and apply them in the field of the related engineering area
2.         Explain the concepts of the complex numbers, linear inequalities and programming apply them in the field of the related engineering area.
3.         Explain the concepts of determinants and matrices and apply them in the field of the related engineering area
4.         Explain the concepts of determinants and matrices and apply them in the field of the related engineering area
5.         Explain the concepts of applications of derivatives and areas of curves and apply them in the field of the related engineering:
6.         Explain the concepts of coordinates in space and planes and apply them in the field of the related engineering area
7.         Explain the concepts of statistics and apply them in the field of the related engineering area.
Course Contents:
Unit 1.      Vectors:                                                                                 [9]
1.1.         Vectors in plane, addition and subtraction. 
1.2.         Composition and decomposition of vectors.         
1.3.         Vectors in space. 
1.4.         The unit vectors i, j, k 
1.5.         Product of two vectors- dot product,  cross product,  1.6.         Simple applications.


Unit 2.
Algebra: 
2.1. Complex number in the from A+ ib.  Algebra of complex numbers. 
       Polar representation of complex numbers.
2.2.         De Moivre’s theorem and its applications 
2.3.         Linear inequalities and their graphs.
       System of linear inequalities in two variables,
       System of linear inequalities in two variables,
       Linear programming: Problems involving two variables under given linear constraints
2.4.      Determinants and matrices, Algebra of matrices,
       Properties of determinants,
       Ad joint and inverse of matrices. 
       Solution of linear equations using cramers’ rule 
       Row equivalent matrices
       Idea of polynomial equations
[15]
Unit 3.
Calculus: 
3.1.      Applications of derivatives- 
                Tangents and normal to a curve taking slope as derivative 
                Maxima and minima of a function 
                Derivative as rate of change
3.2       Areas under curves:
                Use of definite integral as limit of a sum to find areas under curves Areas of closed curves and Areas between curves.
3.3      Antiderivatives:
                Curve tracing, maxima and minima
                Rieman sums & integral
                Application of fundamental theorem
[9]
Unit 4.
Geometry: 
4.1.      Coordinates in space, 4.2.      Coordinates in planes.

[6]
Unit 5.
Statistics: 
5.1.      Statistics:
       Introduction to statistics
       Measures of Central Tendency
       Measures of Dispersion
       Moments, Skew ness and Kurtosis
       Correlation and Regression 
[6] 
                      5.2.      Probability:
       Concept of Probability
       Concept of conditioned probability
       Concept of independent and dependent events
       Concept of mutually exclusive events 

References:
1.     A Textbook on Engineering mathematics (for Diploma in Engineering) part II, Bhim Prasad kafle, Makalu Publicartion House, Dillibazar, Kathmandu
2.     A Text book of Statistics – B.C. Bajracharya
3.     Elementary Statistics – H. C. Saxena
4.     Statistical Methods – Mrigendralal Singh
5.     Engineering Mathematics I, Hari Nandan Nath, Parishowar Acharya, Vudhyarthi Publisher and distributors, Bhotahity, Kathmandu
6.     References to be selected by the related lecturer(s) from among the texts available in the   market that meet the content needs of this subject.
7.     The related institute may develop its own textbook and approve from the related authority so as to have a prescribed textbook of this subject

          

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