Introduction to Mobile App Development
| Institution | Jomo Kenyatta University of Science and Technology |
| Course | Information Technol... |
| Year | 3rd Year |
| Semester | Unknown |
| Posted By | Jeff Odhiambo |
| File Type | docx |
| Pages | |
| File Size | 198.95 KB |
| Views | 3753 |
| Downloads | 0 |
| Price: |
Buy Now
|
Description
Mobile app development refers to the process of creating software applications designed to run on mobile devices such as smartphones and tablets. It involves a variety of tasks, including designing the user interface, writing code, testing the app for functionality and usability, and deploying it on app stores like Google Play or the Apple App Store. Mobile app development can be divided into two main categories: native app development, which creates apps specific to a particular platform (iOS or Android), and cross-platform development, which enables the creation of apps that can run on multiple platforms using a single codebase. With the growing reliance on mobile technology, mobile app development has become a crucial aspect of business and entertainment, offering users convenient solutions and immersive experiences.
Below is the document preview.
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.
57 Pages
1372 Views
0 Downloads
1.77 MB