What I Did Not Learn at IIT

What I Did Not Learn at IIT
Title What I Did Not Learn at IIT PDF eBook
Author Rajeev Agarwal
Publisher
Pages 0
Release 2017-08
Genre Business & Economics
ISBN 9780143441670

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What I Did Not Learn at IIT-B

What I Did Not Learn at IIT-B
Title What I Did Not Learn at IIT-B PDF eBook
Author Rajeev Agarwal
Publisher Random House India
Pages 89
Release 2017-08-29
Genre Literary Collections
ISBN 8184005032

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Every year graduating engineers are told that they are destined for success. But what are the habits and behaviours that actually lead to success? In What I did not learn at IIT, Rajeev Agarwal, founder and CEO of MAQ Software, has distilled decades of life experience into one accessible and informative guide. In simple language, he explains the success techniques he applied and what worked for him. Encouraging graduates to look at their careers over a forty-year span, Rajeev explains that successful people choose to be passionate about every job they have. Using a skillful combination of personal stories and checklists, What I did not learn at IIT provides students-young and old-with a roadmap for success.

What I Did Not Learn in B-school

What I Did Not Learn in B-school
Title What I Did Not Learn in B-school PDF eBook
Author Rajeev Agarwal
Publisher Penguin Random House India Private Limited
Pages 193
Release 2017-08-23
Genre Business & Economics
ISBN 9386815362

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Every year, top performers join management ranks in their companies. As they assume their new roles, managers often receive inadequate training on adopting the right mindsets and behaviors to succeed. Combining his experience as the founder and CEO of MAQ Software, with research by leading management thinkers such as Peter Drucker and Henry Mintzberg, Rajeev Agarwal offers insights on key issues faced by managers, including motivating team members, what a manager does and why they are so busy, how to delegate, train a team, provide feedback, retain employees and whether pay matters Whether you are a recent MBA graduate or an aspiring manager, What I Did Not Learn in B-School provides useful tools to set you on the path to managerial success.

Modern in the Middle

Modern in the Middle
Title Modern in the Middle PDF eBook
Author Susan Benjamin
Publisher The Monacelli Press, LLC
Pages 346
Release 2020-09-01
Genre Architecture
ISBN 1580935265

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The first survey of the classic twentieth-century houses that defined American Midwestern modernism. Famed as the birthplace of that icon of twentieth-century architecture, the skyscraper, Chicago also cultivated a more humble but no less consequential form of modernism--the private residence. Modern in the Middle: Chicago Houses 1929-75 explores the substantial yet overlooked role that Chicago and its suburbs played in the development of the modern single-family house in the twentieth century. In a city often associated with the outsize reputations of Frank Lloyd Wright and Ludwig Mies van der Rohe, the examples discussed in this generously illustrated book expand and enrich the story of the region's built environment. Authors Susan Benjamin and Michelangelo Sabatino survey dozens of influential houses by architects whose contributions are ripe for reappraisal, such as Paul Schweikher, Harry Weese, Keck & Keck, and William Pereira. From the bold, early example of the "Battledeck House" by Henry Dubin (1930) to John Vinci and Lawrence Kenny's gem the Freeark House (1975), the generation-spanning residences discussed here reveal how these architects contended with climate and natural setting while negotiating the dominant influences of Wright and Mies. They also reveal how residential clients--typically middle-class professionals, progressive in their thinking--helped to trailblaze modern architecture in America. Though reflecting different approaches to site, space, structure, and materials, the examples in Modern in the Middle reveal an abundance of astonishing houses that have never been collected into one study--until now.

TEACHING APTITUDE

TEACHING APTITUDE
Title TEACHING APTITUDE PDF eBook
Author Narayan Changder
Publisher CHANGDER OUTLINE
Pages 432
Release 2023-04-17
Genre Education
ISBN

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Embark on a transformative journey into the realm of education with our specialized guide, "Teaching Aptitude." Tailored for aspiring educators, this comprehensive book is designed to enhance your teaching skills and knowledge. Covering diverse aspects of pedagogy, educational psychology, and teaching methodologies, "Teaching Aptitude" is enriched with in-depth explanations, practical insights, and extensive Multiple-Choice Question (MCQ) practice to ensure a thorough grasp of the essential principles of teaching. Key Features: Pedagogical Foundations: Explore a comprehensive coverage of pedagogical principles, from the historical context of education to contemporary teaching methodologies. "Teaching Aptitude" equips you with a solid foundation for effective teaching. Educational Psychology: Delve into the intricacies of educational psychology, understanding the cognitive, emotional, and social aspects of learning. Gain insights into student behavior, motivation, and effective classroom management. Teaching Methodologies: Uncover a variety of teaching approaches and methodologies tailored to different learning styles. "Teaching Aptitude" goes beyond theory, providing practical strategies to engage students and optimize the learning experience. MCQ Practice Questions: Reinforce your understanding with a diverse array of Multiple-Choice Question practice. Each question is strategically designed to challenge your knowledge and critical thinking skills, preparing you thoroughly for teaching aptitude assessments. Effective Classroom Communication: Master the art of communication in the classroom. Learn how to create an inclusive and participative learning environment, fostering positive teacher-student relationships. Assessment and Evaluation: Understand the principles of fair and effective assessment. "Teaching Aptitude" guides you through the process of designing assessments that accurately measure student learning and progress. Keyword Integration: Seamlessly incorporate key terms and concepts throughout your learning journey. "Teaching Aptitude" strategically places important keywords such as Teaching Methods, Educational Psychology, Pedagogy, Classroom Management, MCQ Practice Questions, and more, aligning your understanding with the language used in education. Visual Learning Support: Enhance your comprehension with visually stimulating illustrations, diagrams, and charts. Visual learners will find these aids invaluable in conceptualizing teaching principles and methodologies. Who Will Benefit: Aspiring Educators Teaching Aptitude Test Aspirants Education Enthusiasts Professional Development Seekers Prepare for success in the field of education with confidence. "Teaching Aptitude" is not just a book; it's your comprehensive guide to understanding the principles of effective teaching, backed by extensive MCQ practice. Order now and embark on a journey of pedagogical excellence. Elevate your teaching aptitude. Master the art of education with the ultimate guide.

Deep Learning

Deep Learning
Title Deep Learning PDF eBook
Author Ian Goodfellow
Publisher MIT Press
Pages 801
Release 2016-11-10
Genre Computers
ISBN 0262337371

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An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

The Mind of an Engineer: Volume 2

The Mind of an Engineer: Volume 2
Title The Mind of an Engineer: Volume 2 PDF eBook
Author Purnendu Ghosh
Publisher Springer Nature
Pages 320
Release 2019-11-18
Genre Science
ISBN 9811513309

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This book is a collection of chapters reflecting the experiences and achievements of some of the Fellows of the Indian National Academy of Engineering (INAE). The book comprises essays that look at reminiscences, eureka moments, inspirations, challenges and opportunities in the journey of an engineering professional. The chapters look at the paths successful engineering professionals take towards self-realisation, the milestones they crossed, and the goals they reached. The book contains 38 chapters on diverse topics that truly reflect the way the meaningful mind of an engineer works.