University of Glasgow
Public University • UK
Showing 39 courses from University of Glasgow
MBA Essentials
University of Glasgow (via Coursera)
Embark on a transformative journey through the world of business with our comprehensive course, MBA Essentials. Delivered by a team of dynamic instructors, each with their own unique teaching style, this course offers a diverse perspective on the multifaceted realm of business administration. In the 21st century, businesses demand individuals who can decipher data and information to craft strategic foresight. This course serves as a foundational cornerstone for those aspiring to elevate their careers. Learners will delve into the vital components of the MBA experience, gaining essential knowledge, fostering the right attitude, and preparing for the challenges that lie ahead. Moving between concepts, applications, tools, and skills, you'll gain more insights into strategy and supply chain management, financial data, leadership and change, and finally innovation and marketing. If you're looking to find out more about an MBA—or even want to refresh your own knowledge—this course is a great starting point.
6G Vision: ML, Intelligent Surfaces & Optical Networks
University of Glasgow (via Coursera)
The first part of this specialization in 6G wireless technologies will equip learners to master foundational 6G concepts and vision, analyze AI-driven network operations, understand Reconfigurable Intelligent Surfaces (RIS) technology, and explore optical wireless communications including LiFi. Learners will gain critical insights from leading experts on how smart radio and optical systems will reshape wireless connectivity. Part 1 combines theoretical foundations with practical insights from industry pioneers, focusing on AI-native networks and intelligent surfaces that will define next-generation connectivity. The integrated approach linking RIS technology with machine learning and optical wireless systems provides a strong understanding of 6G's enablers and related technologies. By completing Part 1, learners will be equipped with specialized knowledge in the fast-evolving areas of 6G development, positioning them at the forefront of wireless innovation. This foundation prepares learners for advanced topics in Parts 2 and 3, creating a pathway to 6G expertise that bridges academic research with real-world applications.
Introduction to Digital Epistemology
University of Glasgow (via Coursera)
In today’s digital world, we are constantly bombarded with information — some of it helpful, much of it misleading. This course explores how we, as digital epistemic subjects, can navigate complex online environments shaped by fake news, conspiracy theories, echo chambers, and shifting norms of trust and mistrust. You'll begin by examining the major epistemic challenges of the digital age, including the impact of online storage and information overload. Next, you'll explore two crucial problems: cognitive offloading — our growing dependence on digital tools for knowledge — and digital skepticism, which questions the reliability of online information sources. Building on these insights, you’ll be introduced to virtue epistemology, an approach that emphasizes the importance of intellectual character traits — like open-mindedness and intellectual courage — in acquiring genuine knowledge. Finally, you’ll put theory into practice by reflecting on how cultivating epistemic virtues (and avoiding epistemic vices) can help us meet the unique epistemological challenges of the digital age. By the end of the course, you’ll understand how the digital environment influences what and how we know.
Music Composition: Starting a Piece
University of Glasgow (via Coursera)
This course shares insights into the process of composing music, all with the aim of developing your skills and confidence as a composer. You might be a musician looking to take your composition skills to the next level, or you might be a teacher in a secondary school searching for new techniques to share with your own students. You might already have a developed working knowledge of tonality, in which case, we will complement that knowledge by introducing alternative scales and chord structures. We’ll be focussing on everything involved in writing for live acoustic instruments, using some form of notation. We’ll look at ways to push the boundaries of traditional notation, as well as introducing alternative approaches, such as graphic notation and indeterminacy. We’ll explore ways to maximise the effects you can create using instruments as well as to expand your rhythmic palette. A feature of the course will be to introduce the concept of gesture as a key tool in your working method. It also presents ways to tap into your imagination as part of your process which has the potential to transform the way that you compose. Musical examples are brought to life in this course in performances by Scotland’s foremost contemporary music ensemble, Red Note Ensemble.
Biomedical Visualization
University of Glasgow (via Coursera)
Visualisation is a rapidly progressive specialty in academia, research and industry, and becoming the future of science. With the advancement of digital technologies and their applications, biomedical visualisation is an evolving and popular field. With new techniques and technologies to image, process and analyse data related to the human body, and its biological processes, it is at the forefront of the digital revolution. Why not view our course trailer video. Copy and paste this link into your browser https://youtu.be/vB_QcIVSiTs By the end of this course, you will be able to: 1. Create accurate, ethical biomedical visuals using modern digital tools and evidence based design. 2. Use advanced 3D modelling and imaging skills to build clear, anatomically accurate visuals for education and practice. 3. Evaluate and apply accessibility, inclusivity, and communication principles to design biomedical media for diverse users. 4. Develop a professional portfolio showing technical skill, reflective practice, and adherence to biomedical visualisation standards. This course is the first of its kind on Coursera. It explores the structure and function of the human body including terminology used. It showcases visualisation techniques available using technology to image and display data related to the body and biological processes. It also provides training in the creation of animations, and examines the applicability of different types of reality. You will learn from experts in these fields and with the knowledge you will gain from this course, be able to evaluate and apply how best to use visualisation in your own discipline. No prior experience is necessary but should be able to learn at an intermediate level.
Generative AI for Students: Ethics & Academic Integrity
University of Glasgow (via Coursera)
This course is designed for university students from all disciplines who seek to deepen their understanding of AI tools and their applications in research, studies, and academic writing. Whether you're in the sciences, humanities, or any other field, this course will equip you with the knowledge and skills to effectively integrate AI into your academic endeavours. Course Highlights: · Comprehensive Introduction: Gain a solid foundation in how various AI tools function as aids for study, research, and writing. Understand the theoretical aspects before diving into practical applications. · Practical Applications for Study: Learn how to apply AI tools in your research and studies. This hands-on approach ensures that you can leverage these technologies to enhance your academic work. · Ethics and Integrity: Explore key issues such as ethics, academic integrity, authorship, and plagiarism in the context of AI tools. Stay informed with the latest guidelines on using these tools responsibly and accurately. Benefits of Completing This Course: · Enhanced Research Capabilities: By understanding and utilising GenAI tools, you will be able to conduct more efficient and thorough research, saving time and improving the quality of your work. · Improved Academic Writing: Learn how GenAI can assist with rigour, efficiency and accuracy in academic writing. · Ethical Awareness: Develop a keen awareness of the ethical considerations and best practices when using AI in academia, ensuring your work maintains high standards of integrity. · Unique Learning Experience: This course stands out by offering a balanced mix of theoretical knowledge and practical skills, tailored to the needs of modern university students.
6G Evolution: Blockchain, Semantic Communications & Radar
University of Glasgow (via Coursera)
The second part of this specialization in 6G wireless technologies will allow learners to understand blockchain-empowered wireless systems, analyze multimodal smart networks with vision-aided capabilities, master semantic communication principles and mathematical frameworks, and explore radar-enabled monitoring for 6G applications. Learners will gain expert insights into how these advanced technologies will enable intelligent, secure, and efficient wireless networks. Part 2 advances beyond foundational concepts to examine cutting-edge innovations that will transform network intelligence and functionality. The integrated approach covers blockchain resource management, semantic communication transceiver design, radar principles for assisted living, and multimodal network architectures. Expert discussions from telecom visionaries provide real-world perspectives on wireless network evolution and deployment strategies. By completing Part 2, learners will be equipped with specialized knowledge in next-generation network intelligence and security mechanisms, positioning them to contribute to 6G's most innovative applications. This intermediate foundation gives learners a fundamental understanding how 6G will revolutionize connectivity through intelligent, semantic-aware, and blockchain-secured communications.
Capstone Assignment - CDSS 5
University of Glasgow (via Coursera)
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.
Diversity and Inclusion in Education
University of Glasgow (via Coursera)
Student diversity is becoming the rule rather than the exception in education systems across the world. Students bring to classroom different characteristics such as ability and disability, socio-economic background, race, ethnicity, and cultural background, beliefs and religion, and gender characteristics. The United Nations’ Sustainable Development Goal 4 aims to ensure inclusive and equitable quality education and promote lifelong learning opportunities for all (United Nations, 2015). However, creating inclusive quality education for all remains a ubiquitous challenge faced by educators faced with increasing student diversity. And certain groups of students are more likely to experience barriers to access, participate and success in education. During this course, you will: Develop a critical understanding of the concepts and assumptions about diversity and difference, including notions of ability and disability, socio-economic background, race, ethnicity, and cultural background, beliefs and religion, and gender. Develop awareness of historical and contemporary definitions of inclusive education, taking into account policy, theories and models. Develop the ability to critically analyse contexts in order to identify barriers to developing inclusive and equitable quality education for all learners. Develop knowledge about ways to develop inclusive and equitable quality education for all learners, taking into account their diverse characteristics and needs.
Generative AI for Data Science
University of Glasgow (via Coursera)
This course introduces practical techniques for effectively using, evaluating, and responsibly applying generative AI in data science and statistics. Participants will gain a clear understanding of how generative AI models work and learn how to integrate AI tools into their own analytical workflows to enhance productivity, insight generation, and communication. The course focuses on four key areas: understanding the underlying principles, strengths, and limitations of generative AI models; developing a structured framework for ongoing learning and professional development with AI; best practices for transparently reporting and documenting generative AI use; and promoting safe, ethical, and responsible use of generative AI in data-driven work. This course is designed for data analytics professionals who want to use generative AI more effectively in their work. It is suitable for those with some experience in data analysis who are new to generative AI, as well as practitioners seeking to strengthen their understanding of its capabilities, risks, and best practices. By the end of the course, participants will be able to confidently evaluate generative AI tools, integrate them into their workflows, communicate their use clearly and responsibly, and make informed decisions about when and how generative AI should be applied in data science contexts.
Machine Learning and its Applications
University of Glasgow (via Coursera)
One of the most important applications of AI in engineering is classification and regression using machine learning. After taking this course, students will have a clear understanding of essential concepts in machine learning, and be able to fluently use popular machine learning techniques in science and engineering problems via MATLAB. Among the many machine learning methods, only those with the best performance and are widely used in science and engineering are carefully selected and taught. To avoid students getting lost in details, in contrast to teaching machine learning methods one by one, the first two lectures display the global picture of machine learning, making students clearly understand essential concepts and the working principle of machine learning. Data preparation is then introduced, followed by two popular machine learning methods, support vector machines and artificial neural networks. Practical cases in science and engineering are provided, making sure students have the ability to apply what they have learned in real practice. In addition, MATLAB classification and regression apps, which allow easy access to many machine learning methods, are introduced. In partnership with MathWorks, enrolled students have access to MATLAB for the duration of the course.
Data-Driven Leadership Skills Capstone Project
University of Glasgow (via Coursera)
This course is a capstone assignment requiring you to apply the knowledge and skills you have learned throughout the specialization. In this course, you will choose one of the areas and complete the assignment to pass.
Generative AI in Education
University of Glasgow (via Coursera)
Discover the foundations of generative AI in our dynamic course. Gain a comprehensive grasp of generative AI basics, including definitions, prompt engineering, ethical considerations, and best practices. This engaging, discussion-focused course empowers learners to explore generative AI through hands-on practice with recommended tools. Learners actively participate in discussions, sharing insights and findings in the forum. Our course is uniquely structured, emphasising both practical exercises and in-depth conversations. By providing initial insights and encouraging practice, we nurture learners' confidence in understanding generative AI. We facilitate a supportive environment where learners critically evaluate AI's impact, discussing its advantages and challenges in educational contexts. Join us to cultivate expertise in generative AI, bridging theory and practical application. Explore its potential, refine your skills, and contribute meaningfully to the discourse surrounding AI in education.
Generative AI for Healthcare Students and Professionals
University of Glasgow (via Coursera)
This course aims to provide healthcare students and professionals with a solid foundation of how generative AI is used in their sector adopting a balanced discourse of information. This will be achieved by using case studies that will analyse the current landscape of AI in different fields such as Higher Education, NHS, Public Health and Clinical Research. These case studies will be complemented by bioethics, confidentiality and humanistic perspectives of this technology. For a comprehensive, but yet concise, overview of the topic learners will also delve into the historical perspectives of AI. The course will conclude with final reflective thoughts on what the future might hold for healthcare in terms of utilising responsibly generative AI. As this is an introductory course on generative AI for healthcare, it will be targeted to students and qualified professionals who would like to learn more about this emerging technology in an easy-to-follow approach through the use of interactive case studies that will have real-world applications.
Introduction to the Healthcare Industry
University of Glasgow (via Coursera)
Completing this short course on the Healthcare Industry will equip learners with a thorough understanding of its evolution, current landscape, and future opportunities. By engaging with structured video-based content, participants will not only grasp the breadth of key healthcare sectors and the distinctions between public and private healthcare systems but also gain insights into crucial aspects like diverse career pathways, emerging technologies, and the major challenges facing the industry today. Learners will benefit from practical knowledge applicable across various healthcare sectors and professional roles, from clinical positions to healthcare administration, enhancing their career readiness. Moreover, the course emphasises diversity and inclusion within the healthcare workforce, ensuring a well-rounded understanding of the industry's evolving landscape. With a specific focus on the UK healthcare system and practical career guidance, this course is ideal whether you're aiming to enter the healthcare field or seeking to deepen existing knowledge. Completing this course promises not only a thorough education but also actionable insights into navigating career opportunities in one of the world's most dynamic and essential industries.
Leading Corporate-Wide Digital Transformations - SBL 3
University of Glasgow (via Coursera)
Digital transformation is about more than just technology—it’s about unlocking the full potential of your organization. In this course, you’ll examine the hidden costs of lost opportunity and the internal barriers that prevent companies from leveraging their resources effectively. You’ll explore how strategic leaders can overcome these challenges to enable cross-functional collaboration and drive breakthrough innovation. This course brings together the insights from the Specialisation and prepares you to lead transformation at scale. This course is perfect for senior leaders, change agents, and professionals involved in transformation initiatives. It’s also valuable for anyone seeking to understand how digital strategy intersects with organizational culture, collaboration, and innovation.
Writing for Business Advanced
University of Glasgow (via Coursera)
This course will teach you how to apply advanced principles and strategies to produce successful business writing. It takes an immersive narrative approach so you learn how to use context to write purposeful and audience specific business texts. You will learn to deploy a range of tools and tactics so your business writing is on point, concise and appropriate, whatever the organisational culture or whomever the client or stakeholder. By the end of this course, you will be able to write a range of business texts showing an understanding of key features including organisational structure, vocabulary and register; identify and use a range of Business English as it functions in written business contexts; evaluate information from a variety of business texts to use in your own writing. The skills and strategies that you learn on this course are transferable and will support successful writing in any number of other professional, personal or academic contexts.
Computational Thinking with JavaScript 4: Create & Deploy
University of Glasgow (via Coursera)
This is the fourth and final course in the Computational Thinking with JavaScript specialisation. It is an added-value unit and entirely builds on what you will have learned in the first three units and enables you to synthesise and develop that knowledge. The course supports you to develop your own larger application, using a combination of the technologies you have seen already, including HTML, JavaScript and various libraries, while also encouraging you to reach out to incorporate new libraries. You are taken through the software development process step-by-step, with guidance along the way. You have plenty of opportunity to interact with your peers on the course, and to review their work at periodic intervals.
Defining Strategic Business Leadership - SBL 1
University of Glasgow (via Coursera)
What does it truly mean to lead strategically in today’s fast-changing world? In this foundational course, you’ll explore the core principles of strategic business leadership—what it is, why it matters, and how it’s measured. You’ll learn how to guide your organization through strategic journeys with minimal friction and delay, and how to build the critical bridges that connect present-day actions with future goals. This course sets the stage for the entire Strategic Business Leadership Specialisation and is the ideal starting point for anyone looking to lead with clarity, purpose, and long-term impact. This course is ideal for current business leaders who want to sharpen their strategic thinking, aspiring leaders preparing for future roles, and professionals looking to enhance their leadership capabilities in dynamic environments.
Computational Thinking with JavaScript 2: Model & Analyse
University of Glasgow (via Coursera)
This is the second course in a sequence of four courses that develops essential 21st century computational thinking (CT) skills using the popular JavaScript programming language. At the end of this second course you will: know a framework for CT to help you model the real world using abstract data structures; have developing CT skills so that you can perform comon data analytics tasks; be able to read and write programs in JavaScript that involve processing, analysing and visualizing data, using a specialised library; and post your creations on the web to share your code with others. This course is suitable for: learners who have taken the first course in this specialization 'Computational Thinking in JavaScript 1: Draw and Animate' or for those who have basic JavaScript skills and want to learn about simple data analytics.
Clinical Decision Support Systems - CDSS 4
University of Glasgow (via Coursera)
Machine learning systems used in Clinical Decision Support Systems (CDSS) require further external validation, calibration analysis, assessment of bias and fairness. In this course, the main concepts of machine learning evaluation adopted in CDSS will be explained. Furthermore, decision curve analysis along with human-centred CDSS that need to be explainable will be discussed. Finally, privacy concerns of deep learning models and potential adversarial attacks will be presented along with the vision for a new generation of explainable and privacy-preserved CDSS.
Deep learning in Electronic Health Records - CDSS 2
University of Glasgow (via Coursera)
Overview of the main principles of Deep Learning along with common architectures. Formulate the problem for time-series classification and apply it to vital signals such as ECG. Applying this methods in Electronic Health Records is challenging due to the missing values and the heterogeneity in EHR, which include both continuous, ordinal and categorical variables. Subsequently, explore imputation techniques and different encoding strategies to address these issues. Apply these approaches to formulate clinical prediction benchmarks derived from information available in MIMIC-III database.
Evolutionary Computation and its Applications
University of Glasgow (via Coursera)
One of the most important applications of AI in engineering is optimization. Optimization is almost needed everywhere in science and engineering. Compared with traditional mathematical optimization techniques, evolutionary computation, which is a branch of AI, is attracting much attention. After taking this course, students will be able to understand how evolutionary computation works and fluently use AI-based optimization techniques to solve engineering optimization problems via MATLAB. This course introduces fundamental concepts in optimization and the working principles of genetic algorithm and particle swarm optimization in a comprehensive and understandable way. Case studies from real-world engineering are provided, making sure students have the ability to apply what they have learned in real practice. In partnership with MathWorks, enrolled students have access to MATLAB for the duration of the course.
Data-Driven Leadership Skills Course 3: Data-Driven Leaders
University of Glasgow (via Coursera)
Analyse the role of data, volume, quality, and timeliness, in decision making and critically evaluate, with particular reference to digital data, traditional leadership models In this course, you will learn the importance of data to leadership in the 21st Century and how this is a game-changer compared with earlier approaches, developed in an, arguable, simpler past. Specifically, the course will impart some tactics, approaches and tools that will help the learner to become a more data-savvy leader. This is achieved by providing a high level overview of the data-deluge and indicate how decision makers can tame that data to some extent, and what cannot be tamed. The takeaway form this course, is a multi-stage approach that will simplify projects conducted in the VUCA environment of the 21st Century.
Shaping the Next Innovation Opportunity - SBL 2
University of Glasgow (via Coursera)
Disruption is no longer the exception—it’s the norm. In this course, you’ll learn how to move beyond simply forecasting the future to actively shaping it. You’ll develop the ability to spot early signals of market change, challenge the limits of conventional market research, and uncover new, authentic sources of competitive advantage. With a practical toolkit and a forward-thinking mindset, you’ll be equipped to turn disruption into opportunity and lead your organization with confidence in uncertain times. This course is designed for strategic thinkers, entrepreneurs, and business professionals who want to stay ahead of market shifts and lead innovation. It’s especially valuable for those looking to build resilience and agility into their leadership approach.
Generative AI in the Classroom for Educators
University of Glasgow (via Coursera)
In today's rapidly evolving educational landscape, the integration of generative AI is both a groundbreaking opportunity and a topic of significant debate. Building on the University of Glasgow's acclaimed Generative AI in Education short course, this advanced program delves into the strategies and practices necessary for the responsible implementation of AI tools in the classroom. Key focus areas include essential digital skills and AI literacy, examples and case uses of generative AI in classrooms, and ethical considerations all teachers should consider as they look to implement AI into their teaching practice. This course aims to enhance your technical proficiency and understanding of AI in education. For teachers and educators at every level looking for more insights as to how they can develop their own digital and AI literacy skills and ultimately make more informed decisions about how to apply generative AI use for their students.
6G Deployment: Testbeds, Antenna Systems & Digital Twins
University of Glasgow (via Coursera)
The final part of this specialization in 6G wireless technologies will enable learners to understand digital twins-enabled wireless communications, master antenna design principles for 6G applications, explore comprehensive testbed implementations and industry use cases, and analyze 6G's ubiquitous connectivity vision. Learners will gain expert insights into how these implementation-focused technologies will enable practical deployment of next-generation wireless systems. Part 3 focuses on real-world implementation and deployment aspects, examining digital twin fundamentals in telecommunications, antenna array design principles, testbed experimentation platforms, and industry applications. The integrated approach covers theoretical antenna physics, practical testbed configurations, and futuristic outlook discussions from industry leaders. Expert perspectives provide insights into building the road to 6G through trials, standardization, and ecosystem collaboration. By completing Part 3, learners will be equipped with specialized knowledge in 6G implementation, testing, and deployment strategies, positioning them to lead practical 6G development initiatives. This final part of the specialization builds upon the foundational concepts from Parts 1 and 2, creating a complete pathway to 6G expertise that encompasses everything from theoretical principles to real-world deployment.
Intellectual Autonomy
University of Glasgow (via Coursera)
The course will provide an overview of philosophical questions about intellectual autonomy, our ability to govern ourselves as thinkers. “Thinking for yourself” is a traditional educational emphasis; but recent history has also dramatized the risks of “doing your own research” instead of trusting experts on topics from climate change to vaccine risks to election outcomes. Meanwhile, the rise of AI tools like ChatGPT illustrates the possibility of “outsourcing” some of our thinking to technology; and problems of misinformation press us to consider how individuals and governments can permissibly shape people’s intellectual behavior. This course brings these topics into perspective by considering how the value of intellectual autonomy relates to our dependence on other people, labor-saving tools, and healthy informational environments.
Knowledge-First Social Epistemology
University of Glasgow (via Coursera)
This course introduces students to state of the art research in social epistemology. Social epistemology investigates the epistemic effects of social interactions: e.g., how we gain knowledge from social sources (others’ testimony, the media), how we should respond to disagreement, how groups (scientific teams, organisations) can know. It is among the most thriving areas in contemporary philosophy. Results in social epistemology have wide, direct impact on: (1) scientific practice (e.g. concerning academic publishing, guidelines for scientific authorship and collaboration, knowledge policy and debates over the role of the Internet in knowledge transmission and creation); (2) society at large (e.g. concerning voting, legal standards for criminal conviction, cross-cultural communication barriers, licensing mass communication policies, increasing social cohesion). This course is therefore highly relevant in the context of a globalised society, replete with both easy-access information and misinformation, where it is more important than ever to know what separates trustworthy sources of information from untrustworthy ones. This course is part of a KnowledgeLab project that has received funding from the European Research Council (ERC) Opens in a new tab KnowledgeLab is a major research project in social epistemology, financed by a Euro grant from the European Research Council and hosted by the COGITO Epistemology Research Centre at the University of Glasgow, Scotland, UK.
Computational Thinking with JavaScript 3:Organise & Interact
University of Glasgow (via Coursera)
This third course in the Computational Thinking with JavaScript specialization applies your developing JavaScript skills learned in the first two courses to the world of the web. You will learn how HTML and JavaScript together support the web pages with which we are so familiar, and develop skills so that you can create your own. As well as text presentation, at the heart of HTML, you will learn how to develop interactive, animated graphics, using JavaScript to dynamically add, remove and adjust the HTML objects on the screen. Furthermore, you will leave the more sheltered Coursera programming environment, working with external programming environments, and learning how to use new libraries. Through this practice with new application areas and new building blocks, we build on the computational thinking frameworks introduced in the earlier courses, focusing particularly on the challenges of maintaining a consistent understanding of the multiple computational representations required to master programming.
Data mining of Clinical Databases - CDSS 1
University of Glasgow (via Coursera)
This course will introduce MIMIC-III, which is the largest publicly Electronic Health Record (EHR) database available to benchmark machine learning algorithms. In particular, you will learn about the design of this relational database, what tools are available to query, extract and visualise descriptive analytics. The schema and International Classification of Diseases coding is important to understand how to map research questions to data and how to extract key clinical outcomes in order to develop clinically useful machine learning algorithms.
Computational Thinking with Javascript 1: Draw & Animate
University of Glasgow (via Coursera)
This is the first course in a sequence of four courses that develops essential 21st century computational thinking (CT) skills using the popular JavaScript language as a vehicle. At the end of this first course you will: know a framework for CT to help you learn about it and work with others; be developing your CT skills so that you can more easily work with digital technology of all kinds; be able to read and write programs in JavaScript that involve drawing and animation, using a specialised library; and post your creations on the web so that others can appreciate your skills. This course is suitable for: complete beginners; those who have taken an introductory course in any programming language and want to learn more deeply about the thinking and learning skills they are starting to develop; those who wish to learn Javascript in a supportive environment. The follow-on courses explore the manipulation and analysis of data, such an important aspect of our lives now, again in a highly supportive environment, and then we move the context to mainstream web--based platforms so that you can use these skills more widely.
Introduction to the Pharmaceutical Industry
University of Glasgow (via Coursera)
Completing this short course on the Pharmaceutical Industry will equip learners with a comprehensive understanding of its evolution, current landscape, and future trends. By engaging with structured content, participants will not only grasp key historical milestones and the intricacies of drug development but also gain insights into crucial aspects like clinical trials, regulatory frameworks, and emerging technologies such as biopharmaceuticals and artificial intelligence. Learners will benefit from practical knowledge applicable across various sectors within the industry, from regulatory affairs to biotechnology, enhancing their career readiness. Moreover, the course emphasises ethical considerations and regulatory compliance, ensuring a robust understanding of industry standards and responsibilities. Whether aiming to enter the pharmaceutical field or seeking to deepen existing knowledge, completing this course promises not only a thorough education but also insights into the future challenges and innovations shaping global healthcare.
Explainable deep learning models for healthcare - CDSS 3
University of Glasgow (via Coursera)
This course will introduce the concepts of interpretability and explainability in machine learning applications. The learner will understand the difference between global, local, model-agnostic and model-specific explanations. State-of-the-art explainability methods such as Permutation Feature Importance (PFI), Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive exPlanation (SHAP) are explained and applied in time-series classification. Subsequently, model-specific explanations such as Class-Activation Mapping (CAM) and Gradient-Weighted CAM are explained and implemented. The learners will understand axiomatic attributions and why they are important. Finally, attention mechanisms are going to be incorporated after Recurrent Layers and the attention weights will be visualised to produce local explanations of the model.
Data-Driven Leadership Skills Course 1: Leadership Narrative
University of Glasgow (via Coursera)
This course will explore the theme of 'Authenticity' in leadership by introducing you to the history of leadership theory going back to Ancient Greece. We will establish how traditional leadership became so important. We will also explore how traditional leadership began to unravel when leadership went scientific. We explain how this new data-driven approach to leadership showed that leadership qualities alone do not explain leadership.
Cultural impact of housing displacement gentrification
University of Glasgow (via Coursera)
This course provides an introduction to gentrification and to the cultural impacts of housing displacement for people in cities and neighbourhoods across the world. Gentrification is a term which has been used to describe the process by which wealthier people move into an area leading to the displacement of poorer groups who are priced out of the area by increases in rents and housing prices. It is usually associated with physical improvements to the housing stock and to changes in local shops and services. Sometimes it is closely associated with the displacement of black people by white people. Gentrification is never neutral in its effects. Places change. They look and feel different and different people live there. There are winners and losers, incomers and those displaced, all of whom are caught up in a process by which the social status of an area can often change beyond recognition. Gentrification is both a social and a spatial process. It is not surprising therefore to find that most people who have written about gentrification are either sociologists or geographers. In this course we will learn how the term gentrification originated and the way in which the term has developed since its first sighting in the 1960s. We will consider different theoretical explanations for processes of change and ask questions about who wins and loses. After acquiring theoretical and conceptual skills we will apply these to a series of international case studies to understand what gentrification might look like and feel like in different places. What changes? How do you measure change? What happens to the people displaced- where do they go to? Who are the newcomers? This course will give you insights which will help you better understand neighbourhood level changes; inspire you to learn more about the interaction of social and spatial changes and to think critically about the future of neighbourhoods with which you are familiar.
Data-Driven Leadership Skills Course 2: Agile Leadership
University of Glasgow (via Coursera)
In this course, we describe how agility became increasingly important in the 21st Century. We explore the role of information communication in disrupting hierarchical leadership. We will explore the Volatile, Uncertain, Complex and Ambiguous (VUCA) world of the 21st Century and look at how the traditional discipline of strategic planning is adapting under the turbulence of the data deluge. We will be looking at the rise of exploratory strategy.
Generative Pre-trained Transformers (GPT)
University of Glasgow (via Coursera)
Large language models such as GPT-3.5, which powers ChatGPT, are changing how humans interact with computers and how computers can process text. This course will introduce the fundamental ideas of natural language processing and language modelling that underpin these large language models. We will explore the basics of how language models work, and the specifics of how newer neural-based approaches are built. We will examine the key innovations that have enabled Transformer-based large language models to become dominant in solving various language tasks. Finally, we will examine the challenges in applying these large language models to various problems including the ethical problems involved in their construction and use. Through hands-on labs, we will learn about the building blocks of Transformers and apply them for generating new text. These Python exercises step you through the process of applying a smaller language model and understanding how it can be evaluated and applied to various problems. Regular practice quizzes will help reinforce the knowledge and prepare you for the graded assessments.
Fundamental MATLAB Programming for AI
University of Glasgow (via Coursera)
This course introduces the fundamentals of the programming platform of this course, MATLAB. Through MATLAB’s toolboxes, engineers can make use of AI techniques bypassing intricate programming and achieve superior results. After learning this course (3 modules), students will be ready to learn AI techniques using MATLAB in terms of programming skills. In this course, MATLAB fundamentals, particularly those that are useful for applying AI techniques using MATLAB, are introduced. This includes manipulating variables and matrices in MATLAB, MATLAB scripts, graphs, using built-in functions, defining and using custom functions, conditionals and program control, loops, table arrays and cell arrays to manipulate data, categorical data and one-hot encoding of them, etc. Case studies will be provided for writing objective functions in engineering optimization and data cleaning for building machine learning models, which are the fundamentals of Courses 2 and 3. In partnership with MathWorks, enrolled students have access to MATLAB for the duration of the course.