## 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,*5^{th}edition, S. T. Thornton and J. B. Marion, Cengage Learning, 2012.*Classical Mechanics*, 3^{rd}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

### 20 March - 26 March

Understand and analyse computationally the motion of a charged particle.

Due Date: 26th March, 11:55 pm

### 27 March - 2 April

### 3 April - 9 April

### 10 April - 16 April

Understand and analyse the motion of a double pendulum.

Due Date : 10th April, 11:55 pm

### 17 April - 23 April

Assignment on analysis of planetary motion.

Due Date: 18 April, 11:55 pm