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Building Cross-Platform Mobile and Web Apps for Engineers and Scientists: An Active Learning Approach, International Edition

Paperback

Main Details

Title Building Cross-Platform Mobile and Web Apps for Engineers and Scientists: An Active Learning Approach, International Edition
Authors and Contributors      By (author) Pawan Lingras
By (author) Matt Triff
By (author) Rucha Lingras
Physical Properties
Format:Paperback
Pages:368
Dimensions(mm): Height 277,Width 216
Category/GenreProgramming and scripting languages: general
ISBN/Barcode 9781305637962
ClassificationsDewey:005.25
Audience
Tertiary Education (US: College)

Publishing Details

Publisher Cengage Learning, Inc
Imprint CENGAGE Learning Custom Publishing
Publication Date 1 January 2016
Publication Country United States

Description

This powerful new book introduces cross-platform app design as an excellent starting point for mastering app development. The book contains numerous applications that you can adapt to different projects. You can use this book for independent study or for your project courses. The book introduces HTML5, CSS3, JavaScript, jQuery Mobile, Node.js, JSON, localStorage, sessionStorage, NoSQL using MongoDB, SQL using MySQL, templating using handlebars, and maps. A strong app-centric view emphasizes appropriate subsets of these technologies to help you develop non-trivial apps. While apps continue to evolve and change, the technologies presented form the backbone of future cross-platform app development. You will learn to work with all major mobile and web platforms using the book's active learning approach that has you typing code in parallel as the apps are developed. Exercises further encourage you to make changes to the code and evaluate resulting app behavior.

Author Biography

Matt Triff is a veteran of many hackathons whose accomplishments include receiving an award from LinkedIn's Hack-A-Day in Toronto. He has software and system development experience with Staples, Vleek Infotech, and the IBM Software Development Lab. He graduated from the University of Saskatchewan with honors in Computer Science. Pawan Lingras is currently a Professor of Mathematics and Computing Science at Saint Mary's University, Halifax. He has authored more than 200 research papers in various international journals and conferences. He has also co-authored two textbooks and co-edited two books and five volumes of research papers. He has been a Natural Sciences and Engineering Research Council (NSERC) Discovery Grant recipient for 25 years. His areas of interest include artificial intelligence, information retrieval, data mining, web intelligence, and intelligent transportation systems. Professor Lingras has served as the general co-chair, program co-chair, review committee chair, program committee member and reviewer for various international conferences on artificial intelligence and data mining. He is also on the editorial boards of a number of international journals. Professor Lingras is a recipient of the Father William A. Stewart, S.J., Medal for Excellence in Teaching by the Alumni Association and the Faculty of Science Teaching Excellence award by the Student Association of Saint Mary's University. He is a graduate of IIT Bombay with graduate studies from University of Regina. His co-authors include professionals from Canada, India, China, Tunisia, USA, UK, Germany, Norway, and Chile. Professor Lingras was the Director of a Business Administration and Computing program in The Gambia, West Africa. He recently served as a University Grant Council (UGC) funded Scholar-in-Residence at SRTM University, Nanded, and as a visiting professor at IIT Gandhinagar, both in India. During these two visits in 2011-12, he extensively traveled through India giving more than 32 invited talks. He has also previously served as a Shastri Indo-Canadian Institute Scholar. Rucha Lingras has served in database and software system development and management with Clearwater Seafood in Halifax, the IBM Software Development Lab, and Exxon-Mobil. She is currently working as a business technology analyst with Deloitte after graduating from Saint Mary's University with a double major in Mathematics and Computing Science. She has been a recipient of a number of academic awards, including a Presidential Scholarship and NSERC.