1.      Understanding Fabrication Techniques

2.      Gain experience operating machinery such as CNC machines and 3D printers.

3.      Identify different materials used in fabrication

4.      Plan and execute fabrication projects from concept to completion, including design, material selection, fabrication, and finishing.


Applied Computational Mathematics-I (Semiconductor)_page-0003-imageonline.co-merged.jpgApplied Computational Mathematics-I (Semiconductor)_page-0003-imageonline.co-merged.jpg

ESC1001 - Applied Computational Mathematics-I

Teaching Scheme

Credits

Examination Scheme

TH: 03 Hrs/Week

04

TH: 100 Marks

(ISE – 20 Marks

SBE – 30 Marks

ESE – 50 Marks)

TUT: 01 Hrs/Week

 

TUT: 25 Marks

Total Hrs: 36

 

Total Marks:125


Prerequisites: Matrices and Determinants, Differentiation and Integration, Differential Equation

Course Objectives:

1)      To develop mathematical and computational skills

2)      To enhance analytical and logical thinking power of students and deploy these skills effectively in their disciplines.

3)      To equip the students with concepts and techniques in Matrices and Differential Calculus.

4)      To enable the students to apply concepts and techniques in Ordinary & Partial differentiation.

 Course Outcomes: (CO1-CO5 for 5 Modules)

After successful completion of the course, students will be able to:

CO1: Solve system of linear equations by using the concept of Rank of the matrix

CO2: Find Eigen Values and Eigen Vectors of the matrix

CO3:  Solve and apply the knowledge of ordinary differential equation of first order and first degree

CO4: Deal with derivative of functions of several variables

CO5:  Apply partial differentiation to calculate Errors, Approximations and Extreme values

Module – I                                           Linear Algebra-I                                                 (07 Hrs)

Module– II                                         Linear Algebra-II                                                 (07 Hrs)

Module – III      Ordinary Differential Equations & its Applications                         (08 Hrs)

Module – IV   Differentiation of Functions of Several Variables (Partial Diff.)       (07 Hrs)

Module – V                      Applications of Partial Differentiation                             (07 Hrs)