Modeling and Problem Solving Techniques for Engineers

Modeling and Problem Solving Techniques for Engineers
Author: Laszlo Horvath
Publisher: Elsevier
Total Pages: 349
Release: 2004-08-14
Genre: Technology & Engineering
ISBN: 0080511910

This book offers a comprehensive survey of computer methods for engineers that know the importance of the future applications of these techniques but can not understand them. Typically, design and production engineers can find books for specialists but they need one that helps them to understand the mystic world of advanced computer aided engineering activitites. This book is intended to fill this gap. Mechanical engineers will find basic theory and the value of competitive computer-aided engineering methods in the proposed book. The book will be written in a style free of computer specialists' jargon. The topic of the book is computer methodology for engineers, including conceptual design, detailed design, styling, modeling, analysis, simulation, manufacturing planning, 3D graphic visualization. The aspect is of the engineer who is in dialog connection with computer procedures and is working in a human-computer system where a group of engineers collaborates using an advanced concurrent engineering environment.The book will include chapters on: computing for engineering; computer representation; computing methods: creating computer representations; application of computer representations; engineering activities in the global computer environment; and opinions of some potentials. The audience for this book consists of engineers, who must be familiar with computer methods and should be able to apply them in their work, as well as students who are not involved in computer-related courses but need an understanding of the world of computer-aided engineering to solve engineering tasks. Potential readers may be any individuals who need to understand computer-aided engineering methods, especially engineering modeling. *Written by engineering professors who are also IT professionals, this book marries two points-of-view to provide a unique perspective*Covers the full spectrum of computer-aided engineering, from mathematics to graphics*Written purposefully in languge that is IT jargon-free, so that engineers will not get lost in tangled acronyms

Discipline-Based Education Research

Discipline-Based Education Research
Author: National Research Council
Publisher: National Academies Press
Total Pages: 282
Release: 2012-08-27
Genre: Education
ISBN: 0309254140

The National Science Foundation funded a synthesis study on the status, contributions, and future direction of discipline-based education research (DBER) in physics, biological sciences, geosciences, and chemistry. DBER combines knowledge of teaching and learning with deep knowledge of discipline-specific science content. It describes the discipline-specific difficulties learners face and the specialized intellectual and instructional resources that can facilitate student understanding. Discipline-Based Education Research is based on a 30-month study built on two workshops held in 2008 to explore evidence on promising practices in undergraduate science, technology, engineering, and mathematics (STEM) education. This book asks questions that are essential to advancing DBER and broadening its impact on undergraduate science teaching and learning. The book provides empirical research on undergraduate teaching and learning in the sciences, explores the extent to which this research currently influences undergraduate instruction, and identifies the intellectual and material resources required to further develop DBER. Discipline-Based Education Research provides guidance for future DBER research. In addition, the findings and recommendations of this report may invite, if not assist, post-secondary institutions to increase interest and research activity in DBER and improve its quality and usefulness across all natural science disciples, as well as guide instruction and assessment across natural science courses to improve student learning. The book brings greater focus to issues of student attrition in the natural sciences that are related to the quality of instruction. Discipline-Based Education Research will be of interest to educators, policy makers, researchers, scholars, decision makers in universities, government agencies, curriculum developers, research sponsors, and education advocacy groups.

Engineering Design and Problem Solving

Engineering Design and Problem Solving
Author: Steven K. Howell
Publisher: Pearson
Total Pages: 116
Release: 2002
Genre: Education
ISBN:

ESource--Prentice Hall's Engineering Source--provides a complete, flexible introductory engineering and computing program. Featuring over 15 modules and growing, ESource allows users to fully customize their series through the ESource website. Users are not only able to pick and choose modules, but also sections of modules, and re-paginate and re-index the complete project. For any Engineer or Computer Scientist interested in a complete, customized reference.

Foundations of Data Science for Engineering Problem Solving

Foundations of Data Science for Engineering Problem Solving
Author: Parikshit Narendra Mahalle
Publisher: Springer Nature
Total Pages: 125
Release: 2021-08-21
Genre: Technology & Engineering
ISBN: 9811651604

This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.

Solve It!

Solve It!
Author: Samuel Doughty
Publisher: Taylor Trade Publishing
Total Pages: 0
Release: 1995
Genre: Mathematics
ISBN: 9780884152668

This book helps you write computer solutions to mathematical problems at all levels. Now you can use your own computer to solve mathematical problems without having to rely on commercial software.

Advanced Technology-Assisted Problem Solving in Engineering Education: Emerging Research and Opportunities

Advanced Technology-Assisted Problem Solving in Engineering Education: Emerging Research and Opportunities
Author: Sidhu, Manjit Singh
Publisher: IGI Global
Total Pages: 270
Release: 2019-10-25
Genre: Technology & Engineering
ISBN: 1799804674

Visual multimedia applications integrate animation, sound, graphics, and video to create an engaging, interactive, and effective learning environment. Such software allows students to exercise more control over the pacing and sequencing of their own learning. With the availability of more sophisticated computers, the potential to employ multimedia has grown tremendously. Advanced Technology-Assisted Problem Solving in Engineering Education: Emerging Research and Opportunities is a critical scholarly publication that examines the development and use of interactive multimedia and mixed reality applications that are used to support engineering pedagogy and curriculum. Containing leading international findings, this advanced publication delivers quality research using learning and consultancy for developing tactics to decipher dilemmas within the field. Highlighting a range of topics such as data analysis, augmented reality, and multimedia, this book is ideal for educators, engineers, curriculum designers, educational software developers, IT consultants, researchers, academicians, and students.

Intelligent Problem Solving. Methodologies and Approaches

Intelligent Problem Solving. Methodologies and Approaches
Author: Rasiah Logananthara
Publisher: Springer
Total Pages: 785
Release: 2003-07-31
Genre: Computers
ISBN: 3540450491

The focus of the papers presented in these proceedings is on employing various methodologies and approaches for solving real-life problems. Although the mechanisms that the human brain employs to solve problems are not yet completely known, we do have good insight into the functional processing performed by the human mind. On the basis of the understanding of these natural processes, scientists in the field of applied intelligence have developed multiple types of artificial processes, and have employed them successfully in solving real-life problems. The types of approaches used to solve problems are dependant on both the nature of the problem and the expected outcome. While knowledge-based systems are useful for solving problems in well-understood domains with relatively stable environments, the approach may fail when the domain knowledge is either not very well understood or changing rapidly. The techniques of data discovery through data mining will help to alleviate some problems faced by knowledge-based approaches to solving problems in such domains. Research and development in the area of artificial intelligence are influenced by opportunity, needs, and the availability of resources. The rapid advancement of Internet technology and the trend of increasing bandwidths provide an opportunity and a need for intelligent information processing, thus creating an excellent opportunity for agent-based computations and learning. Over 40% of the papers appearing in the conference proceedings focus on the area of machine learning and intelligent agents - clear evidence of growing interest in this area.