My Portion
- Energy and Energy Conservation - 10 hours
- Python as a Calculator - 8 hours
- Practical (Error analysis should be done for experiments 1 to 8) - 30 hours
2.2.1 Work, Kinetic Energy and the Work-Energy Theorem
2.2.2 Work and Energy with Varying Forces, Power
2.2.3 Gravitational Potential Energy, Elastic Potential Energy
2.2.4 Conservative and Nonconservative Forces, Force and Potential Energy, Energy Diagrams
3.1 Introduction to Python, Writing and executing simple Python scripts, Declaring and using variables
3.2 Basic mathematical operations in Python (+, -, *, /, %), Using parentheses for precedence, String Operations, User Input, Conditional Statements
3.3 Introduction to for and while loops, Loop control statements (break, continue), Basic list operations (appending, indexing, slicing), Parameters and return statements.
1. Measuring the dimensions of a thin metallic rod (using Screw gauge and Vernier calliper) and calculating its volume and surface area.
2. Comparing Screw gauge and Vernier calliper readings by measuring the dimensions of objects.
3. Measuring thickness of a wire using a microscope and Screw gauge.
4. Determining unknown mass/density of a liquid using the concept of loss of weight.
5. Verification of vector addition using a force table.
6. Laser triangulation to determine the height of an object using a laser.
7. Measuring the time period of simple harmonic motion using analogue and digital timekeeping devices.
8. Identifying resistances using colour code and verifying with a multimeter. Study the series and parallel resistance of two resistors.
9. Building a basic calculator program using Python.
10. Simple Programs using Python.