User:Shila Regmi/Teaching Lesson Plan 19

Subject: Computer Graphics

Period: Fourth

Topic: Three Dimensional Graphics

Teaching Item: Visible Surface Detection Methods: Object Space (Depth Sorting) and Image Space (Z-Buffer, A-Buffer and Scanline) Methods

Class: BICTE 6th Semester

Unit: Five

Time: 50min

No. of Students: 20

Specific Objectives:Edit

At the end of this lesson, students will be able to:

  • understand the concept of visible surface detection in computer graphics
  • explore and differentiate between Object Space Methods and Image Space methods.
  • learn about the principles behind depth sorting algorithms, their advantages and limitations.
 
Fig: Depth Sorting Method

Instruction Materials:Edit

Daily usages materials.

PowerPoint slide.

Multimedia Projector

Image showing Depth Sorting Method

Laptop

Teaching Learning ActivitiesEdit

Enter the classroom, and motivate students before starting the lesson for their concentration on the lesson, and then write todays topic on the board.

Begin the class by asking some questions to students related to today's topic.

Open the presentation slide,briefly explain visible surface detection method and its types.

Begin with difference between two types of visible surface detection i.e., Object Space Methods and Image Space methods, explain about them with their examples and real-world usage scenarios.

I will define object space methods and introduce depth sorting.

Explain the principles behind depth sorting algorithms, such as Painter's algorithm.

Discuss the advantages and limitations of depth sorting.

Ask students some questions to know what they understand after the completion of the explanation and where they get confused.

Summarize the lesson in brief, clearing students confusion too.

AssessmentEdit

  • Explain the concept of Object Space visible surface detection.
  • Provide an example scenario where Depth Sorting would be effective.

EvaluationEdit

  • Differentiate between Object Space Methods and Image Space methods.
  • What are the advantages of Object Space Depth Sorting? Discuss any limitations or challenges associated with this approach.