From Problem Solving To Solution Design
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From Problem Solving to Solution Design
From Problem Solving To Solution Design Creating solutions to solve problems can often prove very difficult to accomplish, even for seasoned Solution Designers. Complex organizational problems have several stakeholders, endless variables, and a myriad of possible solutions. It's hard enough to figure out where to start, and even harder to realize what the perfect, mutually-beneficial solution is. With their combined tenure of over fifty years, J. Eduardo Campos and Erica W. Campos present their Solution-Designing expertise in From Problem Solving to Solution Design so that you can learn from their successes (and their failures) to craft sustainable solutions for complex problems. Specifically, you will learn how to implement the I.D.E.A.S. framework that they have been perfecting over the years, which includes five critical checkpoints that any Solution Designer must hit to create solutions that are successfully envisioned, negotiated with stakeholders, and implemented to last over time. - IDENTIFY THE ESSENTIAL PROBLEM AND PRIORITIZE YOUR ACTIONS TO SOLVE IT. - DESIGN SOLUTION OPTIONS ALIGNED TO YOUR GOALS. - ENGAGE YOUR STAKEHOLDERS IN THE SOLUTION AND INFLUENCE THE DECISION-MAKING PROCESS. - ACT ON THE AGREED-UPON RECOMMENDATIONS AND EXECUTE YOUR GOVERNANCE MODEL. - SUSTAIN THE IMPLEMENTED SOLUTION BY CREATING A FEEDBACK LOOP. Treat this book as your field guide: it offers clear checkpoints for you to assist your organization in designing effective solutions for complex problems.
Animated Problem Solving
This textbook is about systematic problem solving and systematic reasoning using type-driven design. There are two problem solving techniques that are emphasized throughout the book: divide and conquer and iterative refinement. Divide and conquer is the process by which a large problem is broken into two or more smaller problems that are easier to solve and then the solutions for the smaller pieces are combined to create an answer to the problem. Iterative refinement is the process by which a solution to a problem is gradually made better–like the drafts of an essay. Mastering these techniques are essential to becoming a good problem solver and programmer. The book is divided in five parts. Part I focuses on the basics. It starts with how to write expressions and subsequently leads to decision making and functions as the basis for problem solving. Part II then introduces compound data of finite size, while Part III covers compound data of arbitrary size like e.g. lists, intervals, natural numbers, and binary trees. It also introduces structural recursion, a powerful data-processing strategy that uses divide and conquer to process data whose size is not fixed. Next, Part IV delves into abstraction and shows how to eliminate repetitions in solutions to problems. It also introduces generic programming which is abstraction over the type of data processed. This leads to the realization that functions are data and, perhaps more surprising, that data are functions, which in turn naturally leads to object-oriented programming. Part V introduces distributed programming, i.e., using multiple computers to solve a problem. This book promises that by the end of it readers will have designed and implemented a multiplayer video game that they can play with their friends over the internet. To achieve this, however, there is a lot about problem solving and programming that must be learned first. The game is developed using iterative refinement. The reader learns step-by-step about programming and how to apply new knowledge to develop increasingly better versions of the video game. This way, readers practice modern trends that are likely to be common throughout a professional career and beyond.
Problem Solving for Engineers
Whatever their discipline, engineers are routinely called upon to develop solutions to all kinds of problems. To do so effectively, they need a systematic and disciplined approach that considers a range of alternatives, taking into account all relevant factors, before selecting the best solution. In Problem Solving for Engineers, David Carmichael demonstrates just such an approach involving problem definition, generation of alternative solutions, and, ultimately, the analysis and selection of a preferred solution. David Carmichael introduces the fundamental concepts needed to think systematically and undertake methodical problem solving. He argues that the most rational way to develop a framework for problem solving is by using a systems studies viewpoint. He then outlines systems methodology, modeling, and the various configurations for analysis, synthesis, and investigation. Building on this, the book details a systematic process for problem solving and demonstrates how problem solving and decision making lie within a systems synthesis configuration. Carefully designed as a self-learning resource, the book contains exercises throughout that reinforce the material and encourage readers to think and apply the concepts. It covers decision making in the presence of uncertainty and multiple criteria, including that involving sustainability with its blend of economic, social, and environmental considerations. It also characterizes and tackles the specific problem solving of management, planning, and design. The book provides, for the first time, a rational framework for problem solving with an engineering orientation.