Quantitative Aptitude

Volume I

Bharath Kumar Kola, Tk Rama Krishna Rao

$209.95 $168.07

Paperback

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English

Central West Publishing
15 November 2020

Mathematics; Mathematical logic; Number systems

Series: Mathematics

For each topic in the book, initially a brief concept has been presented, followed by the solved examples of various types including shortcuts in most of the cases. At the end of each topic, an assessment test has been provided for students in order to assess the knowledge. This content is mainly useful for the students who are preparing for various competitive examinations, campus recruitment training (CRT), MBA entrance tests like GMAT, MAT, CMAT, XAT, etc., along with the M. Tech. entrance examination (GATE).

For more details, please visit https: //centralwestpublishing.com

By: Bharath Kumar Kola, Tk Rama Krishna Rao
Imprint: Central West Publishing
Dimensions: Height: 279mm, Width: 216mm, Spine: 18mm
Weight: 785g
ISBN: 9781925823868
ISBN 10: 1925823865
Series: Mathematics
Pages: 338
Publication Date: 15 November 2020
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

Asst. Prof. Bharath Kumar Kola is presently associated with Aditya Educational Institutions as an Aptitude Trainer. He is best known for his philanthropic motto of helping the students in preparing for campus placements, competitive examinations and various MBA entrance exams. He has a rich experience of extending his support to students who are interested to clear aptitude tests. He has been instrumental in training 10,000+ students and aims to continue with his passion. Prof. TK Rama Krishna Rao is a dedicated and accomplished educator with more than 23 years of experience. He is currently the principal at Aditya College of Engineering & Technology, Surampalem, India. He is a member of professional bodies like IEEE, ACM, CSI, ISTE, etc. He worked as a professor in King Khalid University, Saudi Arabia in 2013, where he also actively participated in the preparation of NCAAA for the Department of Computer Science. In the same university, he also participated in curriculum design of the proposed master's program in the Department of Computer Science. He has guided three Ph.D. students and presents invited lectures widely. His research areas include bioinformatics, artificial intelligence, machine learning and data mining. On his credit, he has published 36 research articles in journals of high repute. He also serves as a reviewer for many journals.