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  • MOOC 
    Introduction to Online and Blended Teaching

    Introduction to Online and Blended Teaching

    In this course, you will explore several key issues that educators need to understand about teaching and learning in the digital age. We will look at how online learning is different from traditional methods of learning, examine how the digital practices of young people are continually changing, and explore some key considerations that need to be addressed while designing learning environments that are engaging and student-centered. We will investigate the ways in which education is evolving and, in turn, how the roles of teachers are changing in the digital world. We will review the history of online learning, and some key characteristics of successful online learning spaces. We will learn about digital literacies and how online reading and writing is different from paper-based reading and writing, and what implications this has for schooling. Finally, we will look at some key design considerations that educators need to be mindful of while working toward deeper engagement and meaningful learning experiences. This course is part of the Virtual Online Teaching (VOLT) program at the University of Pennsylvania’s Graduate School of Education. The VOLT program seeks to equip educators with the skills and knowledge necessary to meet the needs of the 21st century learner.

    Keywords:
    Web-based instruction Blended learning Distance education -- Computer-assisted instruction
    Resource Type:
    MOOC
     
  • MOOC 
    Learning to Teach Online

    Learning to Teach Online

    Are you an educator? Have you ever wanted to understand more about how to design your class to make better use of educational technology – whether fully online or in blended contexts? Would you like to learn from those who have extensive practical experience with online technologies? The Learning to Teach Online (LTTO) MOOC will help you develop a working understanding of successful online teaching strategies that you can apply in your own practice. The course is based upon the multi award winning open educational resource developed by Dr Simon McIntyre and Karin Watson. Integrating online technologies into your teaching can be a challenging prospect, and it can be difficult to know how to approach it effectively for the benefit of both students and yourself. No one knows your own content and teaching strengths better than you, and the “one size fits all” formula doesn’t always suit everyone. No matter what type of technology you are interested in exploring or your level of experience, this course will help you draw on your teaching strengths and find the approach that is right for you, your students and your educational context. This course will guide you through your journey of understanding how online technologies can enhance your course design. You will have the opportunity to develop your understanding of effective online teaching practices and their relationship to the use of different technologies. You will also be encouraged to progressively design and reflect upon your own online learning activity, assessment or resource for use in your own class if you choose to undertake the course assignments.

    Keywords:
    Web-based instruction Distance education Computer-assisted instruction
    Resource Type:
    MOOC
     
  • MOOC 
    MOOC: Business Model Implementation | TU Delft Online

    MOOC: Business Model Implementation | TU Delft Online

    You will also learn about the practical factors that need to be taken into consideration during the transition process, i.e. the competency of your people and your IT, in order to successfully implement a new business model. What you'll learn: How to create a business model roadmap. How to plan concrete actions to realize a new business model. How to find partners to realize a new business model. In this business and management course, you will learn how to make a practical action plan to implement your new business model. Designing a new business model is one thing, but how do you actually put it into practice? How do you move from your current model to a new business model? You will create a business model roadmap that will include practical activities that take into consideration the possible risks associated with moving to a new business model.

    Subjects:
    Management
    Keywords:
    Business planning Strategic planning Industrial management
    Resource Type:
    MOOC
     
    OER
  • MOOC 
    MOOC: The Value of Business Models | TU Delft Online

    MOOC: The Value of Business Models | TU Delft Online

    Does your business need a make-over? Are you unsure how to start? Having an innovative business model is key for a profitable business and growth. In this business and management course, you will learn how to design, test and implement new business models for sustainable success. This course introduces you to the main topics of business model innovation. You will learn what drives business model innovation and why it is valuable to you and your business. You will apply practical tools to (re)design and test a business model. Be inspired by real-life business model examples from fellow entrepreneurs and learn from leading experts who design business model innovations. By the end of this course, you will be able to structure your thinking and communicate your business model ideas and learn how to improve your own business. Start the course anytime, and complete it at your own pace! What you'll learn: What a business model is. Why business models matter to your firm and the value they bring. How business model innovation improves business performance. How tooling can help you to innovate your business model.in

    Subjects:
    Management
    Keywords:
    Business planning Strategic planningIndustrial management
    Resource Type:
    MOOC
     
    OER
  • MOOC 
    Machine Learning Specialization

    Machine Learning Specialization

    The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
    This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
    This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012.
    It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.

    Course related:
    AAE5103 Artificial Intelligence in Aviation Industry
    Subjects:
    Computing
    Keywords:
    Machine learning Artificial intelligence
    Resource Type:
    MOOC
     
  • MOOC 
    Master Class - Creative Problem Solving & Decision Making

    Master Class - Creative Problem Solving & Decision Making

    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
     
  • MOOC 
    Mechanics of Deformable Structures: Part 1

    Mechanics of Deformable Structures: Part 1

    Many natural and man-made structures can be modeled as assemblages of interconnected structural elements loaded along their axis (bars), in torsion (shafts) and in bending (beams). In this course you will learn to use equations for static equilibrium, geometric compatibility and constitutive material response to analyze structural assemblages. This course provides an introduction to behavior in which the shape of the structure is permanently changed by loading the material beyond its elastic limit (plasticity), and behavior in which the structural response changes over time (viscoelasticity). This is the second course in a 3-part series. In this series you will learn how mechanical engineers can use analytical methods and “back of the envelope” calculations to predict structural behavior. The three courses in the series are: Part 1 – 2.01x: Elements of Structures. (Elastic response of Structural Elements: Bars, Shafts, Beams). Fall Term Part 2 – 2.02.1x Mechanics of Deformable Structures: Part 1. (Assemblages of Elastic, Elastic-Plastic, and Viscoelastic Bars in axial loading). Spring Term Part 3 – 2.02.2x Mechanics of Deformable Structures: Part 2. (Assemblages of bars, shafts, and beams. Multi-axial Loading and Deformation. Energy Methods). Summer Term

    Subjects:
    Mechanical Engineering
    Keywords:
    Strength of materials Deformations (Mechanics)
    Resource Type:
    MOOC
     
  • MOOC 
    Model-Based Automotive Systems Engineering

    Model-Based Automotive Systems Engineering

    Modeling, control design, and simulation are important tools supporting engineers in the development of automotive systems, from the early study of system concepts (when the system possibly does not exist yet) to optimization of system performance. This course provides a theoretical basis to model-based control design with the focus on systematically develop mathematical models from basic physical laws and to use them in control design process with specific focus on automotive applications. You will learn the basics of mathematical modeling applied to automotive systems, and based on the modeling framework different type of controller and state estimation methods will be introduced and applied. Starting from a pure state-feedback concept down to optimal control methods, with special attention on different automotive applications. Different methods for state reconstruction is also introduced and discussed in the course. Exercises play an important rolethroughout the course. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to learn more about mathematical modelling of automotive systems.

    Subjects:
    Electrical Engineering, Mechanical Engineering, and Transportation
    Keywords:
    Automobiles -- Design construction -- Mathematical models Motor vehicles -- Dynamics
    Resource Type:
    MOOC
     
  • MOOC 
    Multi-Object Tracking for Automotive Systems

    Multi-Object Tracking for Automotive Systems

    Autonomous vehicles, such as self-driving cars, rely critically on an accurate perception of their environment. In this course, we will teach you the fundamentals of multi-object tracking for automotive systems. Key components include the description and understanding of common sensors and motion models, principles underlying filters that can handle varying number of objects, and a selection of the main multi-object tracking (MOT) filters. The course builds and expands on concepts and ideas introduced in CHM013x: ""Sensor fusion and nonlinear filtering for automotive systems"". In particular, we study how to localize an unknown number of objects, which implies various interesting challenges. We focus on cameras, laser scanners and radar sensors, which are all commonly used in vehicles, and emphasize on situations where we seek to track nearby pedestrians and vehicles. Still, most of the involved methods are more general and can be used for surveillance or to track, e.g., biological cells, sports athletes or space debris. The course contains a series of videos, quizzes and hands-on assignments where you get to implement several of the most important algorithms. Learn from award-winning and passionate teachers to enhanceyour knowledge at the forefront of research on self-driving vehicles. Chalmers is among the top engineering schools that distinguish itself through its close collaboration with industry.

    Subjects:
    Electrical Engineering, Mechanical Engineering, and Transportation
    Keywords:
    Automobiles -- Design construction Computer vision Automated vehicles
    Resource Type:
    MOOC
     
  • MOOC 
    New Learning: Principles and Patterns of Pedagogy

    New Learning: Principles and Patterns of Pedagogy

    Education is in a state of flux – transitioning from traditional architectures and practices to new ecologies of teaching and learning influenced by the tremendous social and technological changes of our times. What changes are afoot today in workplaces, civic life and everyday community life? What are their implications for education? What are the possible impacts of contemporary social transformations on teaching and learning - including in the areas of technology, media, globalization, diversity, changing forms of work in the “knowledge society”, and, in these contexts, changing learner needs and sensibilities? This course explores three pedagogical paradigms: “didactic”, “authentic” and “transformative” learning. It takes an historical perspective in order to define the contemporary dimensions of what we term “new learning”. It prepares participants to make purposeful choices and link particular theories/instructional approaches to individual and group learning goals.

    Keywords:
    Education -- Study teaching Educational change Learning
    Resource Type:
    MOOC