Java Tutorial
| Institution | Jomo Kenyatta University of Science and Technology |
| Course | Information Technol... |
| Year | 2nd Year |
| Semester | Unknown |
| Posted By | Jeff Odhiambo |
| File Type | |
| Pages | 32 Pages |
| File Size | 1.04 MB |
| Views | 3760 |
| Downloads | 0 |
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Description
Java is a high-level, object-oriented programming language known for its portability, scalability, and ease of use. It follows the principle of "write once, run anywhere," meaning that Java code can be executed on any platform that has a Java Virtual Machine (JVM) installed. This makes Java an ideal choice for building cross-platform applications, ranging from web applications to mobile apps and large-scale enterprise solutions. It features strong memory management, automatic garbage collection, and a robust standard library, making it suitable for both beginners and experienced developers. Java is widely used in various industries, particularly in software development, banking, and Android application development.
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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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