University of Mumbai Syllabus For Semester 3 (SE Second Year) Computer Programming and Numerical Methods: Knowing the Syllabus is very important for the students of Semester 3 (SE Second Year). Shaalaa has also provided a list of topics that every student needs to understand.
The University of Mumbai Semester 3 (SE Second Year) Computer Programming and Numerical Methods syllabus for the academic year 2021-2022 is based on the Board's guidelines. Students should read the Semester 3 (SE Second Year) Computer Programming and Numerical Methods Syllabus to learn about the subject's subjects and subtopics.
Students will discover the unit names, chapters under each unit, and subtopics under each chapter in the University of Mumbai Semester 3 (SE Second Year) Computer Programming and Numerical Methods Syllabus pdf 2021-2022. They will also receive a complete practical syllabus for Semester 3 (SE Second Year) Computer Programming and Numerical Methods in addition to this.
University of Mumbai Semester 3 (SE Second Year) Computer Programming and Numerical Methods Revised Syllabus
University of Mumbai Semester 3 (SE Second Year) Computer Programming and Numerical Methods and their Unit wise marks distribution
University of Mumbai Semester 3 (SE Second Year) Computer Programming and Numerical Methods Course Structure 2021-2022 With Marking Scheme
| # | Unit/Topic | Marks |
|---|---|---|
| 100 | Scilab | |
| 200 | Algebraic and Transcendental Equations | |
| 300 | Linear Equations | |
| 400 | Ordinary Differential Equations | |
| 500 | Partial Differential Equations | |
| 600 | Difference Equations | |
| Total | - |
Syllabus
- Introduction to Scilab
- Handling vectors and matrices in Scilab
- Program control using For , While and Do loops
- Decision making with If and Case structures
- Solution of algebraic and transcendental equations
- RegulaFalsi Method
- Successive substitution
- Secant Method
- Newtons Method one and two simultaneous equations
- Systems of linear equations
- Gauss-Seidel Method
- Gauss-Jordan Method
- Eulers explicit and implicit methods
- Runge-Kutta second and fourth order methods
- Adams-Bashforth formulas
- Method of lines
- Crank-Nicholson method
- Laplace equation
- Iterative methods
- Parabolic equations
- Bender-Schmidt method
