Weekly outline
2 January - 8 January
Course Placement
Introductory Computational Physics is a core course offered to second year students of B.Tech Hons. ICT (Minor in Computational Science) program. It is a pre-requisite for course on Modeling and Simulation.
Course format
- 3 hours lecture per week (Monday, Wednesday and Friday).
- 3 hours lab per week. LAB 207. (Software : MATLAB)
Course content
This is a calculus based introductory computational physics course aimed to develop insight into solving problems using Newton's laws of motion and basics principles of mechanics. Course focuses on topics such as fundamental concepts of classical mechanics, oscillations, dynamics of system of particles and rigid bodies, Lagrangian and Hamiltonian Dynamics, Rotational Motion and Rigid Bodies.
Approach to be followed:
problem→theory→model→Compuational implementation (MATLAB)→ assessment and analysis
Text Books
Classical Dynamics of Particles and Systems, 5th edition, S. T. Thornton and J. B. Marion, Cengage Learning, 2012.
Classical Mechanics, 3rd Edition, H. Goldstein, C. Poole, and J. Safko, Pearson India, 2011.
Any MATLAB book.
Assessment method/ Grading
Theoretical/Exam: Two mid-semester examinations and a final examination: 70% (15+25+30)
Lab207: Lab Assignment/ report submission: 25% + 5% (attendance)
Grading scheme is relative and depends on both: class performance and minimum expectation from a student.
Course Outcomes
Introductory Computational Physics course will help the students to analyze and model simple mechanical systems using both Newtonian mechanics and, Lagrangian and Hamiltonian approaches. The course will also prepare the students to build computational models to investigate dynamical system.
After completing this course a student will have the ability
- To understand and analyze motion in real world surroundings using a small set of powerful fundamental principles. The course will enhance the student’s problem solving skills.
- To design, model and investigate complex engineering problems.
9 January - 15 January
16 January - 22 January
23 January - 29 January
Lab assignment for 1D motion.
Name the file as ID1_ID2_assignment2.pdf
Due Date: 5th February, 11:55 p.m.
30 January - 5 February
6 February - 12 February
13 February - 19 February
Assignment to understand Matlab ODE solver and perform problems using the solver.
Due Date: 19th February, 11:55 p.m.
20 February - 26 February
Understand and analyse oscillatory motion computationally.
Due Date: 26th Feb, 11:55 p.m.
27 February - 5 March
6 March - 12 March
13 March - 19 March
- This week
20 March - 26 March
27 March - 2 April
3 April - 9 April
10 April - 16 April
17 April - 23 April