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MOOC
Gone are the days when Problem Solving and Decision Making often happened within the four walls of a top boss’s cabin. In the beginning of this century - As we blinked our eyes, the world changed, cabins broke down to give way to open offices, traditional management hierarchy collapsed and saw a horizontal spread. With delegation and authority batons being passed to the executive and trainee levels, Problem Solving and Decision Making skills became a must have quality at all levels in an organization. In simple words it is – have it or leave it.
That’s less said - Just learning the skill of solving problems and taking good decisions isn’t enough. Today, the modern workplace demands the new age executives and managers to expand their potential of creative thinking and bring it to the table while solving problems and making decisions. There is one more news for you, Creativity, Problem Solving and Decision Making skills are no more confined to the management and leadership levels, students who aspire for their dream jobs to be a reality, also will have to bring these skills along with their candidature.
That is why, we decided to offer this practical and highly researched course with all these 3 skills clubbed into 1 course so that you may not have to search anywhere - anymore.
If at any point of your life, you ever felt the need to work upon your creative thinking ability or your problem solving skills or even your decision making capability, look no further, this course is just the right one for you.
- Course related:
- SD5131 Interdisciplinary Project
- Keywords:
- Problem solving Creative thinking Critical thinking
- Resource Type:
- MOOC
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Courseware
This course provides a thorough introduction to the principles and methods of physics for students who have good preparation in physics and mathematics. Emphasis is placed on problem solving and quantitative reasoning. This course covers Newtonian mechanics, special relativity, gravitation, thermodynamics, and waves.
- Course related:
- AP10005 Physics I
- Subjects:
- Physics
- Keywords:
- Physics
- Resource Type:
- Courseware
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Courseware
This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.
- Course related:
- COMP3011 Design and Analysis of Algorithms, COMP1001 Problem Solving Methodology in Information Technology, COMP4434 Artificial Intelligence, and COMP2011 Data Structures
- Subjects:
- Human-Computer Interaction and Computing
- Keywords:
- Computer programming Computer science Python (Computer program language) Artificial intelligence
- Resource Type:
- Courseware
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Courseware
This course has been designed for independent study. It provides everything you will need to understand the concepts covered in the course. The materials include:
A complete set of Lecture Videos by Professor Gilbert Strang.
Summary Notes for all videos along with suggested readings in Prof. Strang’s textbook Linear Algebra.
Problem Solving Videos on every topic taught by an experienced MIT Recitation Instructor.
Problem Sets to do on your own with Solutions to check your answers against when you’re done.
A selection of Java® Demonstrations to illustrate key concepts.
A full set of Exams with Solutions, including review material to help you prepare.
- Course related:
- AMA1120 Basic Mathematics II
- Subjects:
- Mathematics and Statistics
- Keywords:
- Algebras Linear
- Resource Type:
- Courseware
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Others
All resources and notes from the Complete Web Developer in 2022: Zero to Mastery course
- Course related:
- COMP3421 Web Application Design and Development, LGT3109 Introduction to Coding for Business with Python, COMP3211 Software Engineering, and COMP1001 Problem Solving Methodology in Information Technology
- Subjects:
- Computing
- Keywords:
- Web sites -- Design Web site development
- Resource Type:
- Others
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MOOC
When you immerse yourself in the context of the user, you can uncover pain points and find opportunities for improvement or innovation not always evident to your audience. In this course, part of the Design Thinking MicroMasters program, you will learn how to use simple research methodologies including active listening to understand your target audience and uncover their obvious or latent needs. Emphasis will be placed on observation and interviewing as key methods to gain empathy for the user's experience and viewpoint. Equipped with this understanding, you will be prepared to identify and define more accurately the business problem. You will also review case studies and discuss strategies to foster productive client-stakeholder relationships, including user personification, context understanding, and empathy idea mapping (ideas that resonate with your target audience).
- Subjects:
- Design Elements
- Keywords:
- Design -- Methodology Problem solving Industrial design
- Resource Type:
- MOOC
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MOOC
This course provides an introduction to the foundational activities related to design thinking: a flexible, yet systematic process to define and solve problems. A common misconception is that design thinking requires artistry, but it is not centered on artistic principles. Design thinking is a strategy and mindset that can be applied to any industry to solve problems.
- Subjects:
- Design Elements
- Keywords:
- Design -- Methodology Problem solving Industrial design
- Resource Type:
- MOOC
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Courseware
The BIIG problem-solving method is unique in that it forces us to concentrate on decoding a real-world word problem completely into meaningful parts and aids us in finding and applying the right formula to easily arrive at the correct solution. As desired, it places less emphasis on the memorization of factual detail and more emphasis on the understanding of concepts. Evidently, this method is beneficial in many ways as it aids students in honing skills in critical thinking, logical approach and attention to detail. As a method for organizing information it helps students avoid errors and sets them on a path to succeed. As long as the numbers are “buddied up” with their units, “identified” by the appropriate variables, “isolated” within the context, and the answer is presented “gourmet”, or explained in terms of the original question, finding a solution to any complex problem will become seamless, understandable and enjoyable. This innovation in science education fosters a passion for learning and serves as a foundation for a new paradigm for problem-solving in any discipline of science worldwide.
- Subjects:
- Physics
- Keywords:
- Problem solving Physics
- Resource Type:
- Courseware
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MOOC
In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the coordination among multiple vehicles. This course will teach you the fundamental mathematical model for many of these real-world problems. Key topics include Markov decision process, reinforcement learning and event-based methods as well as the modelling and solving of decision-making for autonomous systems. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge in decision-making models for autonomous systems. Enhance your decision-making skills in automotive engineering by learning from Chalmers, one of the top engineering schools that distinguished through its close collaboration with industry.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Decision making Automobiles -- Design construction Automated vehicles
- Resource Type:
- MOOC
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Courseware
The course “Fluid Flow, Heat and Mass Transfer,” course number ta3220, is third-year BSc course in the program of Applied Earth Sciences at Delft University of Technology. Students in this class have already taken a course in “Transport Phenomena” in the second year, and “Fluid Flow Heat and Mass Transfer” is designed as a follow-up to that class, with an emphasis on topics of importance in applied earth sciences, and in particular to Petroleum Engineering, groundwater flow and mining. In practice, however I start over again with first principles with this class, because the initial concepts of the shell balance are difficult for students to grasp and can always use a second time through. The course covers simple fluid mechanics problems (rectilinear flow) using shell balances, for Newtonian and power-law fluids and Bingham plastics. Turbulence for Newtonian fluids is covered in the context of friction factors for flow in pipes, flow around spheres and flow in packed beds. In heat transfer we start again with shell balances for solving simple steady-state conduction problems. Thereafter, special attention is given to unsteady and multidimensional heat conduction, since the equations are similar for unsteady flow in aquifers and petroleum reservoirs. The concepts of orthogonal conduction and superposition are emphasized, as well as ways to treat perfectly insulated boundaries. The final topic in heat transfer is estimation of heat-transfer coefficients in flow in tubes. Although no other geometries are treated explicitly, I hope students recognize certain principles they can apply to other situations. We cover mass transfer only lightly, and only as by analogy to heat conduction: unsteady diffusion (by analogy to unsteady head conduction) and mass transfer in tubes (by analogy to heat transfer in tubes).
- Subjects:
- Land Surveying and Geo-Informatics
- Keywords:
- Heat -- Transmission Mass transfer Fluid mechanics
- Resource Type:
- Courseware
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Courseware
Many of today’s global challenges require tech-driven solutions — climate change, the growth of the world population, cyber security, the increasing demand for scarce resources, digitalization, the transition from fossil fuels to renewable energy. With this in mind, it is no surprise that one fourth of the CEOs of the world’s 100 largest corporations have an engineering degree. Solving these global problems requires leaders who, in the first place, are comfortable with technology, models and quantitative analyses — Leaders who see systems instead of isolated problems. However, simply understanding technology is not enough. Successful leaders today must have both the ideas and the know-how to put these ideas into action by working collaboratively with others, winning their hearts and minds. We need leaders who know how to seize opportunities in a networked world, and can mobilize people and other stakeholders for large-scale change. Leaders who lead fulfilling lives and who are able to move themselves and others from the ‘me’ to the ‘we’. Leaders who are long-term oriented and who deliver economic profit, while also making positive contributions to society and the environment. We call these leaders ‘sustainable leaders’. This course has three parts: - In the first part, you will explore the context that leaders are facing, building an understanding of the complexities of global and business challenges. You will discover the ambiguities and the many stakeholders that leaders must consider when making their choices. You will get a sense of effective leadership practices. - In the second part, you will discover your “who am I” through personal and group exercises. You will create a “Personal Charter” that can serve as a life-long guide, helping you, as a leader, to make important choices in your personal and professional life. - In the third part, we will bring the knowledge of the context and yourself together. We will translate the insights of this course into a leadership model and you will discover what sustainable leaders do. We will offer you frameworks to help you make your own career choices. We will finally help you to ‘sell’ yourself as a leader.
- Subjects:
- Management
- Keywords:
- Leadership Engineering -- Management Engineers
- Resource Type:
- Courseware
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e-book
A Brief Introduction to Engineering Computation with MATLAB is specifically designed for students with no programming experience. However, students are expected to be proficient in First Year Mathematics and Sciences and access to good reference books are highly recommended. Students are assumed to have a working knowledge of the Mac OS X or Microsoft Windows operating systems. The strategic goal of the course and book is to provide learners with an appreciation for the role computation plays in solving engineering problems. MATLAB specific skills that students are expected to be proficient at are: write scripts to solve engineering problems including interpolation, numerical integration and regression analysis, plot graphs to visualize, analyze and present numerical data, and publish reports.
- Subjects:
- Mechanical Engineering and Computing
- Keywords:
- MATLAB Engineering mathematics
- Resource Type:
- e-book
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Presentation
This video was recorded at MIT World Series: Back to the Classroom 2009. Cooperation may be making us "a little bit too nice" when it comes to innovation, suggests Fiona Murray. She believes there's nothing like competition for injecting energy into the process of solving key innovation problems, whether in business or society. Murray is convinced competition make ventures "more effective, more global, more inclusive and more democratic," all important dimensions for business in a flattening world. She describes the rapidly expanding R&D expenditures of India and China, including the vast numbers of Ph.D.s these nations are producing in science and engineering. The corporate sector has found building global R&D organizations and collaborations difficult. In this challenging environment, where the advantage goes to those firms snagging the best scientists, Murray believes "prizes are complementary mechanisms" for attracting global talent. Just like historic rivalries among great artists (Nb., Titian, Tintoretto, Veronese), or the race to discover the structure of DNA, "fierce competition" can yield "dramatic productivity" and innovation, especially when the right rewards are at stake. Murray cites the 18th century competition to invent a mechanism for determining a ship's longitude, which offered a 20 thousand-pound prize. She jumps to the present, with the X Prize Foundation and its various competitions to solve engineering challenges and societal problems, such as the three-person reusable spaceship, and a 100-mpg car -- each with a $10 million prize purse. But it's not just the money. Recent studies show that prizes prove alluring when they focus efforts and resources on a problem that people are already studying, offering fame and "putting fun back into innovation." The fascination skews rational calculations, with competitors often spending well beyond the amount offered to the winner. Corporations should adopt the prize mechanism, believes Murray, to help generate new ideas (such as new applications for Google's phone); or to help solve very specific problems. Campus competitions are up markedly, she notes, which might be a distraction for students at places like MIT. Start small and inside the organization first, creating a shared bulletin board and offering small prizes, she advises, which will "generate energy." Then take competition beyond the company. And don't forget, "the work must be fun" in order to "get a richer set of people to participate.
- Subjects:
- Management
- Keywords:
- Competition
- Resource Type:
- Presentation
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Courseware
15.875 is a project-based course that explores how organizations can use system dynamics to achieve important goals. In small groups, students learn modeling and consulting skills by working on a term-long project with real-life managers. A diverse set of businesses and organizations sponsor class projects, from start-ups to the Fortune 500. The course focuses on gaining practical insight from the system dynamics process, and appeals to people interested in system dynamics, consulting, or managerial policy-making.
- Subjects:
- Management
- Keywords:
- Business consultants Social psychology
- Resource Type:
- Courseware
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Courseware
The focus of this guided inquiry laboratory is to foster critical thinking that allows students to design, perform, and interpret experiments. In addition, the student acquires technical skills that are required for further advancement in experimental sciences. Although an ability to collect and analyze data in a quantitative manner is developed, the emphasis of the course is to provide a qualitative understanding of the basic concepts of chemistry. This is accomplished by demonstrating that chemical principles are derived from experimental data. The goal is to provide students both with a more accurate picture of the scientific process and with skills that are relevant to solving real life problems.
- Subjects:
- Laboratory Techniques and Safety and Chemistry
- Keywords:
- Chemical laboratories Chemical laboratories -- Technique Chemistry
- Resource Type:
- Courseware
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Courseware
Introduction to basic physics. This course will introduce the conceptual and mathematical framework for kinematics and Newtonian dynamics, and also to teach problem solving techniques that are used in Physics. Other topics include: vectors; motion, force, and energy.
- Subjects:
- Physics
- Keywords:
- Physics
- Resource Type:
- Courseware
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Courseware
Introduction to computer programming within a numerical computing environment (MATLAB or similar) including types of data representation, graphical display of data, and development of modular programs with application to engineering analysis and problem solving.
- Subjects:
- Computing
- Keywords:
- Engineering -- Data processing Computer programming Engineering -- Computer programs
- Resource Type:
- Courseware
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Courseware
This course focuses on national environmental and energy policy-making; environmental ethics; the techniques of environmental analysis; and strategies for collaborative environmental decision-making. The primary objective of the course is to help students formulate a personal theory of environmental planning practice. The course is taught comparatively, with constant references to examples from around the world. It is required of all graduate students pursuing an environmental policy and planning specialization in the Department of Urban Studies and Planning at MIT. This course is the first subject in the Environmental Policy and Planning sequence. It reviews philosophical debates including growth vs. deep ecology, "command-and-control" vs. market-oriented approaches to regulation, and the importance of expertise vs. indigenous knowledge. Emphasis is placed on environmental planning techniques and strategies. Related topics include the management of sustainability, the politics of ecosystem management, environmental governance and the changing role of civil society, ecological economics, integrated assessment (combining environmental impact assessment (EIA) and risk assessment), joint fact finding in science-intensive policy disputes, environmental justice in poor communities of color, and environmental dispute resolution. Environmental Problem-Solving (Susskind et. al, 2017, Anthem Press), a video-enhanced eBook, provides students with full access to all the assigned readings, faculty commentary on the readings, and examples of the best student performance on course assignments in previous years.
- Subjects:
- Environmental Policy and Planning
- Keywords:
- Environmental protection Environmental policy
- Resource Type:
- Courseware
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Courseware
This first course in the physics curriculum introduces classical mechanics. Historically, a set of core concepts—space, time, mass, force, momentum, torque, and angular momentum—were introduced in classical mechanics in order to solve the most famous physics problem, the motion of the planets. The principles of mechanics successfully described many other phenomena encountered in the world. Conservation laws involving energy, momentum and angular momentum provided a second parallel approach to solving many of the same problems. In this course, we will investigate both approaches: Force and conservation laws. Our goal is to develop a conceptual understanding of the core concepts, a familiarity with the experimental verification of our theoretical laws, and an ability to apply the theoretical framework to describe and predict the motions of bodies.
- Subjects:
- Physics
- Keywords:
- Kinematics Torque Mass (Physics) Angular momentum Force energy Motion Mechanics
- Resource Type:
- Courseware
-
Courseware
6.0001 Introduction to Computer Science and Programming in Python is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class uses the Python 3.5 programming language.
- Subjects:
- Computing
- Keywords:
- Computer programming Computer science Python (Computer program language)
- Resource Type:
- Courseware