- Teacher: Aabha Gupta
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.
- Teacher: Lakshmipraba Balaji
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) |
- Teacher: Dr. Vanita Daddi