Mastering AngularJS for .NET Developers

Mohammad Wadood Majid · Golrokh Mirzaei

Apr 2015 · Packt Publishing Ltd

About this ebook

This book is envisioned for traditional developers and programmers who want to develop client-side applications using the AngularJS framework and ASP.NET Web API 2 with Visual Studio. .NET developers who have already built web applications or web services and who have a fundamental knowledge of HTML, JavaScript, and CSS and want to explore single-page applications will also find this guide useful. Basic knowledge of AngularJS would be helpful.

Ratings and reviews

Someone is having laugh here. The writing is very hard to understand and I suspect the author's native language is not English...thus, bad and probably Google Translated sentences are common. While this is sometimes comical, the meaning is I feel lost or severely diluted in such circumstances. I'll continue to look for something more readable and where you don't have to read and re-read a sentence and still feel you may not have fully understood the intent!

About the author

Mohammad Wadood Majid has been working in the field of application development and design for more than a decade for some major companies in the USA. During this time, he has worked independently as well as with teams to develop a number of highly successful enterprise applications for the Web and mobiles. He is experienced in the development, designing, testing, modification, and maintenance of enterprise applications. Currently, he is working as an enterprise application administrator and developer and a part-time assistant professor at the University of Toledo. He has worked extensively with MVC, web APIs, ASP.NET, ADO.NET, C#, OData, and RESTful. He has expertise in native mobile apps and web-based application development that can be performed using HTML5, JavaScript, jQuery, Bootstrap, AngularJS, and CSS. He has experience of working with databases such as SQL Server 2012 and Oracle 11g. He has also performed research on the following topics: • Parallel implementation of algorithms on multicore and NVIDIA's GPU • Parallel computation of moving target detection and recognition from a set of radar signals • Development of parallel programs using multicore and NVIDIA's GPU for artificial intelligent algorithms, such as evolutionary neural networks and genetic algorithms; Golrokh Mirzaei has several years of software development experience in the software industry and is currently working as a faculty at the Ohio State University. Her research involves the development of software applications and multisensor data fusion approach to monitor biological targets using three different sensors: infrared camera (IR), radar, and acoustics. The infrared camera and radar sensors involve video and image processing techniques, including object detection and recognition, feature extraction, classification/clustering, and tracking. She has published several papers at professional IEEE conferences and received several awards. Her developments in the field of image processing and computer vision are unique, related to multifidelity, and multidisciplinary. She has also performed research on the following topics: • Pattern recognition (object detection, feature extraction, tracking, and so on) • Machine learning (supervised/unsupervised learning) • Classification/clustering • Image/video/audio processing (infrared camera, radar, and acoustics) • Bio-inspired computing (ACA, ACO, and GA) • Bayesian inference and fuzzy reasoning