Computer Aided Graphics notes
| Institution | Jomo Kenyatta University of Science and Technology |
| Course | Information Technol... |
| Year | 3rd Year |
| Semester | Unknown |
| Posted By | Jeff Odhiambo |
| File Type | pptx |
| Pages | |
| File Size | 64.94 KB |
| Views | 3561 |
| Downloads | 0 |
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Description
Computer-Aided Graphics (CAG) focuses on the use of computer software and tools to create, manipulate, and visualize graphic designs and models. These notes typically cover fundamental concepts like 2D and 3D modeling, transformations, rendering, and the mathematical basis for graphical operations such as geometric transformations and coordinate systems. Topics may include algorithms for line and curve drawing, shading, lighting, texture mapping, and the role of CAD (Computer-Aided Design) in engineering and architectural applications. The notes often explore software like AutoCAD or Blender, along with programming techniques for custom graphic applications, offering practical insights into design, visualization, and problem-solving in modern industries.
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SMA 2371: Partial Differential Equations (Complete Notes, Examples & Solutions) – JKUAT Biostatistics Year 2 Semester 2
These are comprehensive and well-organized lecture notes for SMA 2371: Partial Differential Equations (PDE) offered to BSc. Biostatistics Year 2 Semester 2 students at JKUAT. The notes are neatly arranged from lecture one to the final topics, making them ideal for class learning, revision, CAT preparation, and final examinations.
The notes include detailed explanations, worked examples, step-by-step mathematical derivations, solved exercises, and applications of Partial Differential Equations. Topics covered include:
• Review of basic concepts and partial derivatives
• Jacobians, surfaces and curves in three dimensions
• Simultaneous first-order differential equations
• Methods of solving symmetric differential equations
• Orthogonal trajectories
• Pfaffian differential equations
• Linear first-order partial differential equations
• Formation of PDEs
• Elimination of arbitrary constants and arbitrary functions
• Heat, Wave, Laplace and Poisson equations
• Separation of variables
• Fourier and Laplace Transform methods
• Numerous worked examples, tutorial questions and examination-style problems with solutions.
These notes are suitable for JKUAT students and other university students studying Mathematics, Statistics, Biostatistics, Engineering, Applied Mathematics or related courses. They are an excellent revision resource for CATs and final examinations.
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