Introduction to Java Programming
| Institution | Jomo Kenyatta University of Science and Technology |
| Course | Information Technol... |
| Year | 2nd Year |
| Semester | Unknown |
| Posted By | Jeff Odhiambo |
| File Type | |
| Pages | 13 Pages |
| File Size | 303.95 KB |
| Views | 3451 |
| Downloads | 0 |
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Description
Java programming is a versatile and widely used object-oriented programming language designed for building robust, scalable, and cross-platform applications. It is known for its "Write Once, Run Anywhere" philosophy, meaning that Java programs can be executed on any device that has a Java Virtual Machine (JVM) installed, regardless of the underlying hardware and operating system. Java syntax is similar to C++, making it accessible to developers familiar with other languages. It provides a strong emphasis on security, portability, and ease of use, and is commonly used in web development, mobile applications (especially Android), enterprise solutions, and more. Its rich set of libraries and frameworks makes it a powerful tool for modern software 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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