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Free online courses and certificates from Unicef, The Open University, University of Edinburgh and other top universities in United Kingdom. Learn Ordinary Differential Equations, People Management, Statistics & Probability and other popular topics.
A first-week Oxford mathematics lecture previews introductory calculus through differential equations, integration by parts, and separable integration.
Learn to select, motivate and appraise staff: run effective interviews, design performance management systems, weigh pay as a motivator, and handle workplace conflict constructively.
Explore the ideas and methods behind the statistics you encounter in everyday life.
Create anatomically accurate biomedical visuals: turn medical imaging data into 3D models and animations, and weigh virtual, augmented, mixed and extended reality for teaching and practice.
Examine diversity and difference in education: unpack labelling and the "imagined student", compare medical and social models of disability, and apply differentiation and Universal Design for Learning.
Survey the core of an MBA: business models, the global economy and supply chains, accounting and analytics, the SDGs, digital innovation, leading change, and digital and B2B marketing.
Examine leadership narratives, agile structures and strategy, and data literacy to evaluate traditional and modern leadership models and make evidence-based decisions in a capstone project.
Apply AI to engineering and science problems: use MATLAB toolboxes for evolutionary computation and machine learning in optimization and data analysis tasks.
This course is a capstone assignment requiring you to apply the knowledge and skill you have learnt throughout the specialization. In this course you will choose one of the areas and complete the assignment to pass.
Apply leadership narratives, agile leadership, or data-driven decision-making in an assessed capstone assignment, using evidence and critical thinking to evaluate leadership approaches in an organisational context.
Explore generative AI for teaching: cover definitions, prompt engineering, ethical risks and cognitive load, and practise with AI tools for classroom guidance.
Learn MATLAB programming for AI work: variables, matrices, scripts, loops, custom functions, tables, cell arrays, categorical data, encoding, and data visualization.
Build machine learning workflows in MATLAB: prepare data, then train and evaluate support vector machines and artificial neural networks for classification and regression tasks.
Examine leadership narratives from Ancient Greece to the digital age, comparing traditional, scientific, hierarchical and agile models, and assess collective decision-making in data-rich organisations.
Examine leadership narratives from Ancient Greece to the information age: evaluate traditional and scientific leadership models, compare agile and hierarchical structures, and assess collective decision-making.
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