Tag: Engineering

Mechanical Engineering Practices in Industry A Beginner’s Guide


Free Download Mechanical Engineering Practices in Industry: A Beginner’s Guide
English | 2023 | ISBN: 1032516100 | 299 Pages | PDF (True) | 7 MB
The four year undergraduate course in Engineering is loaded with theoretical contents and the students hardly find enough time and opportunity to adequately grasp the physical and practical aspects of application of various engineering theories that are being taught. Therefore, certain practice-oriented knowledge inputs in these years may help them acquire and enhance proficiency in the industrial working systems and processes.

(more…)

Introduction to Probability and Statistics for Science, Engineering, and Finance


Free Download Walter A. Rosenkrantz, "Introduction to Probability and Statistics for Science, Engineering, and Finance"
English | ISBN: 1584888121 | 2008 | 680 pages | PDF | 4 MB
Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, Introduction to Probability and Statistics for Science, Engineering, and Finance illustrates the role and scope of statistics and probability in various fields.

(more…)

Hands-On Software Engineering with Golang Move beyond basic programming to design and build reliable software with clea


Free Download Achilleas Anagnostopoulos, "Hands-On Software Engineering with Golang: Move beyond basic programming to design and build reliable software with clea"
English | ISBN: 1838554491 | 2020 | 640 pages | PDF | 11 MB
Explore software engineering methodologies, techniques, and best practices in Go programming to build easy-to-maintain software that can effortlessly scale on demand

(more…)

Generalized Linear Models With Applications in Engineering and the Sciences, Second Edition


Free Download Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition by Raymond H. Myers, Douglas C. Montgomery, G. Geoffrey Vining, Timothy J. Robinson
English | PDF | 2010 | 517 Pages | ISBN : 0470454636 | 19.7 MB
Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition continues to provide a clear introduction to the theoretical foundations and key applications of generalized linear models (GLMs). Maintaining the same nontechnical approach as its predecessor, this update has been thoroughly extended to include the latest developments, relevant computational approaches, and modern examples from the fields of engineering and physical sciences.

(more…)

Advances in Interdisciplinary Engineering Select Proceedings of FLAME 2020


Free Download Advances in Interdisciplinary Engineering: Select Proceedings of FLAME 2020 by Niraj Kumar
English | EPUB | 2021 | 835 Pages | ISBN : 9811599556 | 112 MB
This book comprises the select proceedings of the International Conference on Future Learning Aspects of Mechanical Engineering (FLAME) 2020. This volume focuses on several emerging interdisciplinary areas involving mechanical engineering.

(more…)

Advances in Industrial and Production Engineering Select Proceedings of FLAME 2018


Free Download Advances in Industrial and Production Engineering: Select Proceedings of FLAME 2018 by Kripa Shanker
English | EPUB | 2019 | 870 Pages | ISBN : 9811364117 | 151 MB
This book comprises select proceedings of the International Conference on Future Learning Aspects of Mechanical Engineering (FLAME 2018). The book discusses different topics of industrial and production engineering such as sustainable manufacturing systems, computer-aided engineering, rapid prototyping, manufacturing management and automation, metrology, manufacturing process optimization, casting, welding, machining, and machine tools. The contents of this book will be useful for researchers as well as professionals.

(more…)

Software Engineering for Data Scientists (2nd Early Release)


Free Download Software Engineering for Data Scientists (2nd Early Release)
English | 2023 | ISBN: 9781098136192 | 52 pages | EPUB | 2.4 MB
Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project’s success-and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, clearly explaining how to apply the best practices from software engineering to data science.

(more…)