User:Saroj Neupane Lesson Plan 6

Subject : Computer Science

Period: 3rd

Topic: Machine Learning and its Applications

School: ABC School

Class: 10

Unit: Seven

Time: 15 min

No. of Students: 20

Specific Objectives

• At the end of the class students will be  able to understand   key concepts, types of ML, and real-world applications.

Teaching Materials

• Whiteboard and markers or a digital presentation tool
• Projector or screen (if using digital presentation)

Teaching Learning Activities (10 minutes)

• Start with a question: "How do you think computers can learn and make decisions without being explicitly programmed?" Encourage students to share their thoughts.

Applications of ML

• Provide a concise definition: "Machine Learning is a subset of artificial intelligence where computers learn patterns from data to make predictions or decisions without explicit programming."

• Arthur Samuel first used the term "machine learning" in 1959.
• Introduce key types of machine learning:

1. Supervised Learning: Learning from labeled data with input-output pairs.
2. Unsupervised Learning: Learning from unlabeled data to find patterns.
3. Reinforcement Learning: Learning through trial and error with a reward-based system.

• Discuss fundamental concepts:

1. Training Data: The dataset used to train the machine learning model.
2. Algorithms: Mathematical models that learn patterns from data.
3. Features: Input variables used by the model to make predictions.
4. Predictions: The output generated by the machine learning model.

How Machine Learning works?

• Describe how machine learning works?
• Discuss on applications of Machine Learning.

Case Study or Example (2 minutes):

• Share a brief case study or example that illustrates how machine learning is applied in a specific industry or scenario. Use visuals or a short video clip if available.

Conclusion and Q&A (1 minute)

• Summarize the key points discussed in the lesson.
• Open the floor for questions from students.

Assessment

A. Multiple choice questions

Point added for a correct answer:
Points for an incorrect answer:
Ignore the questions' coefficients:

1 What is machine Learning?

	A type of computer virus
	A branch of artificial intelligence
	A programming language
	A hardware component

2 Which term is used to describe the dataset used to train a machine learning model?

	Test Data
	Input Data
	Training Data
	Output Data

3 In Supervised Learning, what is the role of labeled data?

	To test the model's performance
	To train the model
	To validate the model
	To ignore the model

4 Which of the following is a real-world application of Machine Learning?

	Building a website
	Sorting files on a computer
	Fraud detection in financial transactions
	Sending emails

B. What are the applications of Machine learning?

Optional Activity (if time allows)

Conclude with a brief interactive activity, such as asking students to brainstorm potential applications of machine learning in their daily lives.