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Managing Projects in the Real World provides clear and actionable advice to project managers for recognizing, anticipating, and overcoming challenges associated with the human component of leading others. The mechanics of project management are rational and straightforward to learn. The art of project management is irrational and complex to learn. Project managers need to develop a repertoire of soft skills that are typically hard for them, since they rose through the ranks to that position by virtue of superior reasoning skills. But if a project manager cannot adjudicate the clash of personalities, finesse the friction between assigned and preferred roles, steer clear of hidden hazards, and diplomatically resolve overlapping assertions of competing authority—that project manager is in a world of trouble. From the human perils of project management, nobody is better qualified to rescue beleaguered project managers than Melanie McBride—veteran PM and author of the Intel blog, The Accidental Profession. She sheds light on those dark, dusty places that fall between the cracks of theory and best practice out in the real world where irate colleagues, unrealistic product launch dates, and virtual meetings reign supreme and run amok. In this book you’ll find targeted discussions and specific techniques to empower you to meet the challenges that project managers face every day. The book is structured into project phases to help any project manager on any kind of project jump right to the tried and true solution for the challenge at hand.
Lead students through powerful learning experiences with Reinventing Project-Based Learning, a guide for educators, administrators and professional development specialists who want to make the shift to a more student-driven learning model. Explore proven strategies for overcoming the limitations of the traditional classroom, including a wealth of technology tools for inquiry, collaboration and global connection to support this new vision of instructional design.
Developing projects outside of a classroom setting can be intimidating for students and is not always a seamless process. Real-World Software Projects for Computer Science and Engineering Students is a quick, easy source for tackling such issues. Filling a critical gap in the research literature, the book: Is ideal for academic project supervisors. Helps researchers conduct interdisciplinary research. Guides computer science students on undertaking and implementing research-based projects This book explains how to develop highly complex, industry-specific projects touching on real-world complexities of software developments. It shows how to develop projects for students who have not yet had the chance to gain real-world experience, providing opportunity to become familiar with the skills needed to implement projects using standard development methodologies. The book is also a great source for teachers of undergraduate students in software engineering and computer science as it can help students prepare for the risk and uncertainty that is typical of software development in industrial settings.
By designing projects that move students from surface to deep and transfer learning through PBL, they will become confident and competent learners. Discover how to make three shifts essential to improving PBL’s overall effect: Clarity: Students should be clear on what they are expected to learn, where they are in the process, and what next steps they need to take to get there. Challenge: Help students move from surface to deep and transfer learning. Culture: Empower them to use that knowledge to make a difference in theirs and the lives of others.
Your team is stressed; priorities are unclear. You're not sure what your teammates are working on, and management isn't helping. If your team is struggling with any of these symptoms, these four case studies will guide you to project success. See how Kanban was used to significantly improve time to market and to create a shared focus across marketing, IT, and operations. Each case study comes with illustrations of the Kanban board and diagrams and graphs to help you see behind the scenes. Learn a Lean approach by seeing how Kanban made a difference in four real-world situations. You'll explore how four different teams used Kanban to make paradigm-changing improvements in software development. These teams were struggling with overwork, unclear priorities, and lack of direction. As you discover what worked for them, you'll understand how to make significant changes in real situations. The four case studies in this book explain how to: Improve the full value chain by using Enterprise Kanban Boost engagement, teamwork, and flow in change management and operations Save a derailing project with Kanban Help an office team outside IT keep up with growth using Kanban What seems easy in theory can become tangled in practice. Discover why "improving IT" can make you miss your biggest improvement opportunities, and why you should focus on fixing quality and front-end operations before IT. Discover how to keep long-term focus and improve across department borders while dealing with everyday challenges. Find out what happened when using Kanban to find better ways to do work in a well-established company, including running multi-team development without a project office. You'll inspire your team and engage management to make it easier to develop better products. What You Need: This is a case study book, so there are no software requirements. The book covers the relevant bits of theory before presenting the case studies.
The Second Edition of the popular book on the most practical approach to project Work Breakdown Structures (WBS) and scope management! With hundreds of real-world project examples, this book will change the way you think about and understand the WBS. Learn the secrets to mastering the WBS and obtain smarter project results starting now. A must-read book for successful project managers.
Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenarios Key Features Build efficient deep learning pipelines using the popular Tensorflow framework Train neural networks such as ConvNets, generative models, and LSTMs Includes projects related to Computer Vision, stock prediction, chatbots and more Book Description TensorFlow is one of the most popular frameworks used for machine learning and, more recently, deep learning. It provides a fast and efficient framework for training different kinds of deep learning models, with very high accuracy. This book is your guide to master deep learning with TensorFlow with the help of 10 real-world projects. TensorFlow Deep Learning Projects starts with setting up the right TensorFlow environment for deep learning. Learn to train different types of deep learning models using TensorFlow, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Generative Adversarial Networks. While doing so, you will build end-to-end deep learning solutions to tackle different real-world problems in image processing, recommendation systems, stock prediction, and building chatbots, to name a few. You will also develop systems that perform machine translation, and use reinforcement learning techniques to play games. By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow, and will be able to build and train your own deep learning models with TensorFlow confidently. What you will learn Set up the TensorFlow environment for deep learning Construct your own ConvNets for effective image processing Use LSTMs for image caption generation Forecast stock prediction accurately with an LSTM architecture Learn what semantic matching is by detecting duplicate Quora questions Set up an AWS instance with TensorFlow to train GANs Train and set up a chatbot to understand and interpret human input Build an AI capable of playing a video game by itself –and win it! Who this book is for This book is for data scientists, machine learning developers as well as deep learning practitioners, who want to build interesting deep learning projects that leverage the power of Tensorflow. Some understanding of machine learning and deep learning, and familiarity with the TensorFlow framework is all you need to get started with this book.
Explore the latest Java-based software development techniques and methodologies through the project-based approach in this practical guide. Unlike books that use abstract examples and lots of theory, Real-World Software Development shows you how to develop several relevant projects while learning best practices along the way. With this engaging approach, junior developers capable of writing basic Java code will learn about state-of-the-art software development practices for building modern, robust and maintainable Java software. You’ll work with many different software development topics that are often excluded from software develop how-to references. Featuring real-world examples, this book teaches you techniques and methodologies for functional programming, automated testing, security, architecture, and distributed systems.
A project-based approach to learning Python programming for beginners. Intriguing projects teach you how to tackle challenging problems with code. You've mastered the basics. Now you're ready to explore some of Python's more powerful tools. Real-World Python will show you how. Through a series of hands-on projects, you'll investigate and solve real-world problems using sophisticated computer vision, machine learning, data analysis, and language processing tools. You'll be introduced to important modules like OpenCV, NumPy, Pandas, NLTK, Bokeh, Beautiful Soup, Requests, HoloViews, Tkinter, turtle, matplotlib, and more. You'll create complete, working programs and think through intriguing projects that show you how to: Save shipwrecked sailors with an algorithm designed to prove the existence of God Detect asteroids and comets moving against a starfield Program a sentry gun to shoot your enemies and spare your friends Select landing sites for a Mars probe using real NASA maps Send unbreakable messages based on a book code Survive a zombie outbreak using data science Discover exoplanets and alien megastructures orbiting distant stars Test the hypothesis that we're all living in a computer simulation And more! If you're tired of learning the bare essentials of Python Programming with isolated snippets of code, you'll relish the relevant and geeky fun of Real-World Python!
In this book, project-based learning expert Suzie Boss explains how real-world projects engage and motivate students while teaching relevant, rigorous content and skills that align with standards and put learners on the path to active citizenship. You'll learn why students need to be able to identify and solve authentic, project-worthy problems in their own communities and beyond; how to connect with real-world experts, allies, and audiences; and what practical, field-tested strategies are essential for planning, assessing, and using technology to support successful projects. Project examples are woven throughout the book to show what real-world learning looks like in action, and the resources in the Encore section will help you plan the next steps in your school or classroom.