Queensland University of Technology is a research university in Brisbane, Australia. QUT is located on three campuses in the Brisbane area: Gardens Point, Kelvin Grove, and Caboolture.
On this professionally-focused microcredential, you’ll learn how to plan and manage large-scale projects and start your journey as a professional project manager.With the support of industry professionals, you’ll learn how to use, select and apply project planning tools and techniques to resolve common project issues and support project delivery.As you learn how to manage stakeholders, you’ll build the skills to communicate professionally orally and in writing. You’ll also consider the importance of project scheduling, ethical decision-making, and developing responsive project options.With insufficient resources, poor estimates, lack of software tools, and non-agile working ranking high as reasons for project failure, this microcredential will teach you techniques to handle complex and high-stakes professional projects.It’s estimated that by 2027, 87.7 million employees will be required to work in the project management industry. Set yourself up with the skills to work as a professional project manager or planner.This microcredential offers 12 credits towards a Postgraduate degree at QUT:QUTECTS*12 credits15 credits*European Credit Transfer SystemThis microcredential meets the standards set by the Common Microcredential Framework.
Understand how to use image processing and transformation to make robots seeRobotic vision relies on cameras and computers identifying and extracting image features to recognise a shape.On this four-week course, you’ll explore how computers process images and how images are represented in a computer to help you understand the fundamentals of robotic vision.You’ll learn to identify the unique features of a shape and its perimeter to examine how robots can be programmed to see.Examine advanced image processing techniquesYou’ll delve into the ways in which images are processed, covering advanced techniques such as morphological image processing and gamma correction.You’ll be able to describe the purposes of different types of image processing to determine which is best for your operations.You’ll also look at the properties of colour and light and how to apply this to robotics, understanding exactly how robots see and process colours.Learn how to do basic coding in MATLABYou’ll put your new skills into practice by learning the operations required to process an image using the programming language and environment MATLAB.You’ll be guided through basic coding by the experts at Queensland University of Technology, to demonstrate the types of processing that you can use to programme robots to see.By the end of the course, you’ll have the practical skills and knowledge to apply advanced image processing techniques to robotics.This course is designed for those familiar with concepts from advanced high-school mathematics or undergraduate engineering. It’s also useful to have some programming knowledge.You can enrol in the MATLAB Onramp tutorial here.This course contains many practice activities in MATLAB. However, you won’t need to download the MATLAB software to complete the course (although if you already have it you are welcome to use it). The MATLAB exercises are embedded within the course, or you can use a version of MATLAB Online for which you’ll be provided a log-in and instructions for importing the Machine Vision Toolbox for MATLAB. You don’t need to own a robot, or have a robot kit, to take this course.
This course is an introduction to the exciting world of robotics and the mathematics and algorithms that underpin it. You’ll develop an understanding of the representation of pose and motion, kinematics, dynamics and control. You’ll also be introduced to the variety of robots and the diversity of tasks to which this knowledge and skills can be applied, the role of robots in society, and associated ethical issues. If you have access to a Lego Mindstorms kit (9797) you will be able to build a simple robot arm and write the control software for it. Combined with the Robotic Vision MOOC, this course is based on a 13 week undergraduate course Introduction to Robotics at the Queensland University of Technology. Course OutcomesBy the end of this course you should be able to:describe and explain what robots are and what they can dodescribe mathematically the position and orientation of objects and how they movedescribe mathematically the relationship between robot joint coordinates and robot tool posedesign a robot joint control system and understand the nature of the rigid-body forces acting on a robot arm (optional advanced material)reflect on the future role and development of robots in human societyapply the mathematical, algorithmic and control principles of robot arm manipulators to implement a working robot through physical construction and software development (applies to optional project) Pathways through the courseYou can follow three paths through the MOOC:You can audit the course: Register and have access to all the content, lectures, quizzes and programming assignments which you can view at your leisure. You do not necessarily have to submit the assessments. You will not receive a certificate at the end of the course.To receive a certificate of completion you should register for the course, study all the content and successfully complete at least four assessable quizzes and four programming assignments.An additional option is to complete a robot building project which will be peer assessed. WorkloadYou should spend about 4–8 hours per week on this course. Depending on your level of skill with MATLAB and programming in general, your studies might include:2 hours viewing the lecture videos and completing the self-assessment quizzes;30 minutes for each of six weekly assessable quizzes2 hours for each of six weekly programming assignments;1–2 hours building the robot or vision system (optional project) or doing further research and/or communicating on forums. Time required for the last two items will depend on your level of skill with MATLAB and programming in general. Certificate of AchievementThroughout the course you will be asked to complete quizzes and programming exercises. These will be automatically marked. If you pass 4 quizzes and 4 programming assignments you will receive a Certificate of Achievement. The programming assignments will consist of several MATLAB tasks and will be based on the lecture content for that week.The robot project will be peer assessed but doesn’t count towards the Certificate of Completion. Assumed knowledgeTo complete the MOOC you should know some basic programming (either of MATLAB or of an object-oriented programming language) and some of the following areas of maths: matrices, vectors and spaces, eigenvalues and eigenvectors. We’ve included links to Khan Academy on these topics. We believe this knowledge will be necessary to complete the course, and recommend that you view these before Week 1 begins, but you might prefer to watch them on an ‘as needed’ basis after you view our content. VectorsMatrices:basic matrix operations including multiplication and inversionzero and identity matricesvector transformations with matricesfamiliarity with the concepts of eigenvalues and eigenvectors. Note: A free version of MATLAB will be available for the duration of the course. Also, Professor Corke’s textbook (not essential) will be available at a significant discount. Requirements HardwareComputer: You will need a computer that is capable of running MATLAB. For System Requirements, visit the MathWorks’ System Requirements page.Lego Mindstorms: To complete the optional project part of this course you will need access to a robotics development kit – we work with Lego Mindstorms NXT and EV3 kits (approximately $300 to $500 depending on the source. Alternatively you can use an Arbotix based design which uses Dynamixel servos, 3D printed parts and an Arbotix microcontroller controller board. SoftwareMATLAB. This is a proprietary technical computing and visualisation package developed by The Mathworks Inc. It is widely used in the engineering industry, in scientific research and for undergraduate education. MATLAB is a core part of the course and is available for free to students studying this course. It is used to illustrate techniques in the lectures (via screencasts) and also for the assignment (you need to write programs and submit them for automatic grading). A free MATLAB licence and software for installation will be available when you enrol in the course.Open source toolboxes for MATLAB. These will also be available from the course site.For the robot project, RWTH Mindstorms NXT Toolbox, open source from the Mindstorms website.OtherTextbook (optional). Access to the textbook written by Professor Peter Corke (2011), Robotics, Vision and Control: Fundamental Algorithms in MATLAB (Springer) is optional, but considered beneficial.
Discover how robots can be programmed to moveThis three-week course delves into the growing world of the robotics industry, and what it takes to make robots move.You’ll begin by exploring the capabilities of robots and learning the mathematics behind robotic movement.With this knowledge, you’ll consider objects in a two-dimensional plane, exploring the concepts of position, pose, rotation, and translation, as you unpack the process of how robots work and move.Understand the principles of kinematics including forward and inverse kinematicsRobot movement relies on the principles of kinematics – the motion of a body or bodies.You’ll develop your programming skills as you learn how to program forward kinematics equations in practical MATLAB assignments.You’ll also learn approaches to inverse kinematics and dive into principles of join control theory to increase your theoretical and practical knowledge of robotic movement.Move on to advanced techniques in 3D roboticsGuided by the experts at the Queensland University of Technology, you’ll get a taste of 3D robotics to understand the complexity of types of motion in 3D.By the end of the course, you’ll feel comfortable in being able to explain the capabilities of robots, with an understanding of the mathematics and programming behind making a robot move.This course is designed for those with some knowledge of advanced high-school mathematics or engineering – in particular, analytic geometry and linear algebra.You should also know how to program in MATLAB to complete the practical exercises.Everything you need to succeed in this course is provided, or can be downloaded for free. If you’d like to attempt the exercises throughout this course, you will be using a program called MATLAB. With support from MathWorks, free access to MATLAB will be provided for the duration of the course plus 30 days.All exercises are embedded in the course, so you don’t need to have MATLAB to participate.However, if you’d like to follow along with Professor Corke’s MATLAB demonstrations, work on the exercises, or explore topics on your own, MathWorks has provided a licence for MATLAB Online for this course. We will guide you through the setup of MATLAB and the Robotics Toolbox at the beginning of the course. The use of MATLAB is what will really give you a powerful learning experience, letting you try out the exercises and examples provided.If you have not used MATLAB before, and would like to take a two-hour introductory course, please check out the MATLAB Academy’s MATLAB Onramp course. This covers the MATLAB basics with walk-through activities. This is an optional activity.
Find out how to effectively teach entrepreneurial thinkingWe live in an uncertain and complex world, where the big problems of today and tomorrow are yet to be identified.Teaching young people the skills and resilience to live and thrive in such a world is the purpose of entrepreneurial thinking.This course will introduce you to what entrepreneurial thinking is, and why it’s an important skill for young people to learn.You’ll understand the different types of entrepreneurship, and identify the approaches that best suit your teaching context.You’ll discover how to produce a plan for teaching entrepreneurial thinking effectively.This course is aimed at teachers and educational leaders who want to improve their teaching practice. It may also be of interest to anyone looking to support students in learning entrepreneurial thinking.For Australian educators, this course aligns with the following Australian Professional Standards for Teachers (APST):• 1.1, 1.2• 2• 3.1, 3.2, 3.3, 3.4• 4.1• 6
Learn how to make the most of university and start building your careerThinking about the future as an undergraduate can be both exciting and terrifying - especially with regular news about changing job markets. How are you supposed to prepare for a future that’s unknown? A university degree can be a great start if your time at university is put to good use. Use this course to find out how to get the most from your university experience and start working towards a successful and satisfying career now.No previous knowledge or skills are required for this course. Confidence in navigating the web would be an advantage.We’ve estimated it takes approximately four hours to complete the course. However the activities in Week 1 may be new to you and take a little longer than two hours, whereas the activities in Week 2 are more decision based and may take less than two hours. Of course if you dive deeply into all of the activities you may spend longer on the course but you’ll learn a lot about yourself and careers in the process.
Explore how robots are used in mechanisation, exploration, and buildingRobots were once only found in fiction, but today they have become an important technology used widely in society. They mechanise industrial tasks, help us explore places humans can’t go, and can even help heal us.On this three-week course, you’ll examine your perceptions of robotics, and how attitudes previously formed from fiction are significantly different to how robots are used today.You’ll delve into the true role of robots in our society and be able to define a real robot, and what they can do. You’ll also investigate the importance of robotics as a field to understand their capabilities and the opportunities for the future.Identify the ethical considerations of using different types of robotsYou’ll discover the different types of robots and how they are applied to help us in a variety of ways, including exploring and monitoring our world.You’ll also examine the ethical, privacy, and safety considerations of using robotics, particularly when we look at solving societal challenges. Just because we can use robots, does that mean we should?Examine the role of robots in the future as a useful technologyOn the course, you’ll be encouraged to join discussions on using robotics in the future.You’ll learn how robots could be used to overcome challenges such as food production, ageing population, transport, and environmental change, and discuss the effects this could have on our society.You’ll predict and reflect on the future role of the development of robotics, and gain a deeper understanding of how robots and humans interact.This course is designed for anyone interested in discovering how our society currently uses robots, and how we might use them to solve big challenges in the future.You don’t need any robotics knowledge or experience to join this course.Everything you need to succeed in this course is provided. There is no specific equipment or software required.
Big data is a fast-growing field and skills in the area are some of the most in demand today.The Big Data Analytics program from Queensland University of Technology (QUT) comprises four online courses that each look at a different element of big data.You’ll begin by examining how big data is collected and stored, before going on to explore how statistical inference, machine learning, mathematical modelling and data visualisation are used in its analysis.You’ll become familiar with predictive analysis, dimension reduction, machine learning, clustering techniques and decision trees, before going on to look at the maths that underpins many of the tools you can use to manage and analyse big data.Accessible for free on desktop, tablet or mobile and delivered in bite-sized chunks, the courses provide a flexible way to develop your big data analytics skills.When you complete all four courses, upgrade and earn a Certificate of Achievement for each, you will receive a FutureLearn Award as proof of completing the program of study.
Learn to identify the warning signs and indicators of child abuse and neglect.Teachers in many countries are required by law to report certain types of child abuse and neglect to relevant child protection authorities. Some nations are on the cusp of introducing mandatory reporting obligations, or have policy-based duties for reporting. All teachers can benefit from increased awareness and understanding of their roles in child protection.This course will enable you to recognise the signs of child abuse and neglect, and learn how maltreatment impacts on children’s learning and development. It will also help you to understand your role as a reporter.This course is designed for teaching staff and education leaders who want to improve their professional practice. It may also be of interest to student support staff, including teacher aides, school counsellors, chaplains, etc.For Australian school educators, this course aligns with the following Australian Professional Standards for Teachers (APST):Create and maintain supportive and safe learning environments4.4 Maintain student safetyEngage in professional learning6.2 Improve practiceEngage professionally with colleagues7.1 Meet professional ethics and responsibilities7.2 Comply with legislative requirements7.4 Engage with broader networksFor Australian educators in before-school settings, this course aligns with the following National Quality Standard:Quality Area 2 - Children’s health and safetyElement 2.2.3 Child protection: Management, educators and staff are aware of their roles and responsibilities to identify and respond to every child at risk of abuse or neglect.Warning: Child abuse is a sensitive issue and you may feel a range of emotions when you engage with this material. Please take care of yourself and each other as you work through this course.
Robots with vision will play increasingly important roles in society, from health care to marine science and interplanetary exploration. Robotic vision is an area of technology that is growing quickly in both its potential and applications.The Robotic Vision program from Queensland University of Technology (QUT) comprises three online courses that provide both theory and practice in programming robotic (computer) vision.You’ll explore the principles of vision: how human vision works; how robotic vision works; and relevant aspects of colour, light and perspective.You’ll become familiar with the mathematical and programming skills required to process and manipulate images, and develop these skills with hands-on practice using the MATLAB programming environment.You’ll put your skills into practice by using specialist software to create the code required for a robot to complete a simple visual task. If you have previously competed QUT’s Introducing Robotics program, you may be able to use the robot arm you built in the Build a Robot Arm course to complete an extension activity in the third course of Robotic Vision.Accessible for free on desktop, tablet or mobile, and delivered in bite-sized chunks, this program provides a flexible and supported way to develop your understanding of robotic vision.
When you successfully complete this Microcredential you will have reflected on the importance of trauma-aware education and produced an action plan to support children and young people using trauma-informed practices in a school setting or workplace.Children and young people who have lived through very difficult or traumatic life circumstances may present with challenging behaviours and need help to feel safe, to self-regulate emotions and to manage their relationships. You will plan how to support a child or adolescent in this situation, how to support the learning of others in your workplace and how to enhance your personal and professional wellbeing whilst working with trauma-impacted young learners.How prevalent is trauma among students and young people?In most schools and early childhood education services there are children and young people who have experienced trauma. In fact International studies estimate that 62–68% of young people will have been exposed to at least 1 traumatic event by the age of 17 (Copeland et al. 2007; McLaughlin et al. 2013) 1.Trauma is not limited to discrete events and is often complex in nature.Repeated relational harm that comes from experiences such as physical, emotional or sexual abuse, significant neglect, and family violence, can have a serious impact on the education and lives of children.As an educator or someone whose work involves the support of children and young people who attend education settings, you have the potential to profoundly enhance the education and future lives of young people through adopting trauma-aware practice.Harm Minimisation ApproachesComplex trauma affects the physical, emotional and social development of children. In order to minimise harm, teachers and school leaders need to respond appropriately using trauma-informed practices and policies.In this microcredential, you’ll get an in-depth introduction to what complex trauma is and how it affects young people’s development. You’ll understand the neuroscience behind the behaviours presented by students who have experienced complex trauma.You’ll learn how to apply trauma-aware strategies and policies that will minimise the risk to students and school staff.Learn with a world leading academic faculty and teaching teamQUT’s Education Faculty is ranked among the Top 100 in the world and is consistently producing world-class, innovative research that advances knowledge in education, generates real-world impact and achieves excellence in research.Your Lead Educator Dr Judith Howard is a QUT Associate Professor and behaviour specialist, with a career aim to assist schools in adopting neuroscience-informed approaches for supporting students experiencing complex trauma.Earn valid and relevant professional developmentFor Australian educators, this microcredential aligns with the following Australian Professional Standards for Teachers (APST):1.1, 1.2, 1.5, 4.1, 4.3, 4.4, 6, 6.1, 6.2This microcredential also meets the standards set by the Common Microcredential Framework.Unsure if this microcredential is right for you? Why not take our free short course first to get a taste?
Explore the principles of human visionTo be able to programme a robot to see, you must first have an understanding of the principles of vision.On this three-week course, you’ll build a strong foundation of knowledge as you delve into human vision and aspects of sight.You’ll explore the human eye and examine light, reflection, and perspective to gain a full understanding of vision before learning how this can be applied to robotics.Understand the programming skills needed for robot visionRobot vision relies on the same aspects of human vision but uses cameras and computers instead of eyes and a brain.You’ll explore how cameras work and how computers see images to understand the functionality of robotic vision.To apply the principles of vision to robotic function, you need to use mathematical and programming skills. This course will take you through MATLAB programming language and environment, supporting you as you build practical skills in robotics.Learn robotics from the experts at Queensland University of TechnologyUsing video demonstrations and other visuals designed by the experts at Queensland University of Technology, you’ll see real-life examples and be able to reflect on the nature of robotic vision for specific tasks.This course will help you build confidence in robotics and develop skills used to programme a robot to see.This course is designed for those familiar with concepts from advanced high-school mathematics or undergraduate engineering.You should also have some programming knowledge. You can enrol in the MATLAB Onramp tutorial here.This course contains practice activities in MATLAB. However, you won’t need to download the MATLAB software to complete the course (although if you already have it you are welcome to use it). The MATLAB exercises are embedded within the course, or you can use a version of MATLAB Online for which you’ll be provided a log-in and instructions for importing the Machine Vision Toolbox for MATLAB. You don’t need to own a robot, or have a robot kit, to take this course.
Start to see the world through a business process management lensEvery organization today has many business processes, which determine what gets done, when and how. This online course exposes you to process thinking and the benefits of systematically managing these business processes through BPM.Learning with BPM experts at Queensland University of Technology and internationally, you’ll look at the ingredients of business processes, how BPM can improve organisational performance, and the key phases of a BPM project.You’ll discover that business processes are all around you, and play a key role in the products and services you both consume and provide.This BPM training course is designed for business professionals and those interested in better understanding business processes. No prior experience or knowledge is required.
Build the project planning and management skills to start a career in project management within your chosen professional field.
Learn how to uphold the rights of all students to be included.All students should feel like they have the same opportunities to participate and achieve in education. Through this course with QUT, you will learn the concepts that underpin inclusive practice.You will learn the history of inclusive education, and how it differs fromintegration and special education. You will also explore what you as an educator, professional or parent can do to uphold a student’s right to inclusive education.This course is for teachers, other professionals and parents looking to understand genuine inclusion in education.