Queen Mary University of London
Public University • UK
Showing 11 courses from Queen Mary University of London
Cloud Computing Law: Transactions
Queen Mary University of London (via Coursera)
Have you ever wondered what’s in the small print of cloud contracts? Or who owns the information you upload to the cloud? And who can access and control it? If so, then this course is for you! You’ll learn to identify the legal risks involved in cloud computing transactions - and to suggest possible solutions. To understand how cloud computing works, we’ll first describe different kinds of cloud services and explain how they differ from in-house IT in terms of control, access, and cybersecurity. To understand how the law applies to cloud computing transactions, we’ll focus on the contracts between cloud providers and their customers. You’ll learn to identify and interpret key contract terms and to assess whether customers might negotiate better terms with providers. Finally, we’ll explain how English law protects trade secrets and copyright works stored in the cloud. If you’re a lawyer, this course will be your guide to cloud infrastructure and supply chains. If you have a technical or commercial background, this course will introduce you to key legal issues in contracts and intellectual property. In short, if you’re interested in how the law applies to cloud computing, this course is for you.
Influencing the Organisation
Queen Mary University of London (via Coursera)
In this course, you will look at how you can effectively manage stakeholders and industry/organisational politics, whilst successfully mobilising people. You will: – Consider how to build momentum and how to work across organisational, sectoral and country cultures. – Explore how you can align your mission with the organisation’s purpose and manage the politics to influence the organisation. – Look at how to lead in a matrix/complex structure as well as how to make your changes real. This course is aimed at leaders and managers who have five to six years experience and who are beginning to manage teams, customers and clients more regularly or more directly. Learners will likely have a technical or professional early career but as they are progressing in their careers, they are having to start grappling with the issues of team and organisational leadership. By the end of this course, you will be able to: – Work across organisational boundaries and engage with a wider group of stakeholders. – Navigate the realpolitik of their wider organisation and understand the importance of engaging with the political dynamic. – Extend and leverage your networks to be better positioned for the next phase of your career. – Identify levers for change and how best to utilise these in order to increase the possibility that your initiatives and programmes will be adopted.
Cloud Computing Law: Data Protection and Cybersecurity
Queen Mary University of London (via Coursera)
Vast amounts of personal information are processed in the cloud. But who is legally responsible for such ‘personal data’ in cloud environments? What duties do cloud providers like Amazon, Microsoft, and Google have? And what rights can you, as an individual, exercise under data protection law? If you’d like to find out, then this course is for you! First, we’ll look at how the European Union’s ‘General Data Protection Regulation’ (‘GDPR’) regulates the processing of personal data in cloud services. You’ll learn to identify controllers and processors, describe their roles and responsibilities, and understand how cloud customers and providers can comply in practice. Second, we’ll look at international transfers of personal data. We’ll explain how the GDPR can apply to cloud providers and their customers anywhere in the world, as well as how restrictions on international transfers apply to cloud services. Third, we’ll look at how the Network and Information Security (‘NIS’) Directive regulates the cybersecurity of critical infrastructure. You’ll learn to identify cloud providers’ duties to notify security breaches and to keep their services secure, and how to apply those duties to concrete case studies. In short, this course covers how the GDPR and NIS Directive apply to cloud services and what cloud providers and their customers should do to comply.
Getting Started with Leadership
Queen Mary University of London (via Coursera)
In this course, you will discover the importance of understanding context and its impact on the individual as a leader. You’ll consider how you define leadership and explore how organisations work through an exploration of the “what” and “why” of your own working environment. You will also look at who stakeholders are and their important role in today's business, before discussing the differences between leadership and management, and the importance of credibility. This course is aimed at leaders and managers who have five to six years experience and who are beginning to manage teams, customers and clients more regularly or more directly. A majority of those taking this course will have a technical or professional early career, but are progressing professionally so are starting to grapple with the issues of team and organisational leadership. By the end of this course, you will be able to: – Describe the context in which your organisation operates. – Identify common challenges related to leadership. – Explain how leadership is impacted by the nature of how organisations are structured in order to deliver their goods or services. – Identify the key stakeholders in your leadership constellation. – Work effectively with your key stakeholders. – Explain the difference between leadership and management. Many topics covered in the course are also explored in the instructors book How to Lead Smart People (Mike Mister and Arun Singh, Profile Books 2019).
Research Methodologies
Queen Mary University of London (via Coursera)
This course focuses on research methodologies. In this vein, the focus will be placed on qualitative and quantitative research methodologies, sampling approaches, and primary and secondary data collection. The course begins with a discussion on qualitative research approaches, looking at focus groups, personal interviews, ethnography, case studies and action research. We will also discuss quantitative research methods with a focus on experimental research design and survey methodology. There will be an exploration of the sampling design process and different sampling approaches, including probability and non-probability sampling as well as sample size and non-response issues. We will look at the nature and scope of primary and secondary data, and the importance of measurement. We will look at the role of the Internet in market research as well as non-comparative scaling techniques. The course ends with a discussion on different data collection approaches, with a focus on observation, content analysis, narrative research, phenomenology, and the collection of data using ethnography.
Research Instruments and Research Hypotheses
Queen Mary University of London (via Coursera)
This course concentrates on the design and development of different research instruments. In this vein, the focus will be placed on the development of an instrument design strategy, scales of measurement and the components of the research report. The course begins by looking at the questionnaire development process with a focus on questionnaire design, question type and wording, pretesting and revising. We will consider the identification of scales of measurement and operationalisation, and the design of an online questionnaire. We are going to discuss sources of measurement differences, and the assessment of the reliability of measurements. The issue of the validity of measurements and the various types of validity will also be explored, as well as attitude measurement. We will discuss data preparation and processing, data coding, adjustment, and data analysis using multivariate data approaches. We are also going to explore frequency distribution and measures of location, variability and shape. The course ends with a discussion on hypothesis testing and the use of statistics relevant to cross-tabulations. We will discuss parametric and non-parametric tests in hypothesis testing and group comparison as well as the different sections of the research report.
Cloud Computing Law: Law Enforcement, Competition, & Tax
Queen Mary University of London (via Coursera)
Have you ever wondered how a police officer in Europe can obtain evidence from a cloud provider in the USA? Or whether a major cloud provider might abuse its market power? Or in which countries cloud providers pay taxes? If so, then this course is for you! First, we’ll look at how law enforcement agents can request access to cloud data, including data stored outside their borders. You’ll learn to advise cloud providers on responding to access requests and on dealing with potential conflicts with European Union (‘EU’) data protection law. Second, we’ll cover EU competition law, including how to define the relevant market for cloud services and to assess market power. You’ll learn to identify when cloud providers might be found to have entered into anti-competitive agreements, or to have abused a dominant position in a market. Third, we’ll look at how the income from cloud services is taxed. We’ll cover how such income is classified and which countries have the right to tax cloud providers. You’ll learn how tax principles apply to cloud services today, and how this might change in future. In short, we’ll cover how the rules of law enforcement access, competition law, and tax law apply to cloud services – and you’ll discover the practical steps that cloud providers can take to comply with their obligations.
Stepping Up: Preparing Yourself for Leadership
Queen Mary University of London (via Coursera)
In this course, you will explore the importance of self awareness and feedback, as well as issues such as bias and imposter syndrome. As a leader, it is important to know when to step in and lead, as well as how to establish boundaries and resolve conflict. This course will equip you with these fundamental leadership skills and will also help you develop your ability to influence others (including your “boss”), measure your impact and enhance your resilience. This course is aimed at leaders and managers who have five to six years experience and who are beginning to manage teams, customers and clients more regularly or more directly. A majority of those taking this course will have a technical or professional early career, but are progressing professionally so are starting to grapple with the issues of team and organisational leadership. By the end of this course, you will be able to: – Identify how you are perceived by your colleagues as leaders. – Make better decisions about when to step in, and when to stand back, as a leader and how to work with conflict as a productive force. – Explain how to lead and support your boss to both achieve your goals in your respective leadership positions. – Manage your energy to be seen as a positive, influential leader.
Stepping Up: Leading Others
Queen Mary University of London (via Coursera)
In this course, you will look at how to work with a diverse range of people to create and lead a high performing team. You will consider the differences between work groups and teams and explore team dynamics, the nature of remote teams and cross-cultural implications of leading teams. You will also discover how to effectively lead your peers, deal with blockers and disruptors, set objectives and delegate. This course is aimed at leaders and managers who have five to six years experience and who are beginning to manage teams, customers and clients more regularly or more directly. Learners will likely have a technical or professional early career but as they are progressing in their careers, they are having to start grappling with the issues of team and organisational leadership. By the end of this course, you will be able to: – Explain the differences between a team and work group, and why this is important for a leader. – Describe strategies for leading peers, dealing with blockers and disruptors. – Set effective objectives, know best practice for delegation and techniques to drive performance in your teams. – Hold important, challenging conversations which leaders need to have, and implement the key elements of coaching and mentoring as a leader.
Introduction to Market Research
Queen Mary University of London (via Coursera)
This course concentrates on the foundations of market research. You will be introduced to the essentials and nature of market research, the research process and the importance of a research proposal. Focus will be devoted to problem formulation, problem solving, research questions and research objectives. The course will be completed with a discussion of ethics on market research. Learners who successfully complete this course will be able to: Discuss the fundamentals of market research Reflect on the research process Formulate research questions and research objectives Develop a research proposal Ethics in market research This course is for market research analysts, social media strategists, marketing managers, product managers and market researchers.
Analysis and Interpretation of Data
Queen Mary University of London (via Coursera)
This course focuses on the analysis and interpretation of data. The focus will be placed on data preparation and description and quantitative and qualitative data analysis. The course commences with a discussion of data preparation, scale internal consistency, appropriate data analysis and the Pearson correlation. We will look at statistics that can be used to investigate relationships and discuss statistics for investigating relationships with a focus on multiple regression. The course continues with a focus on logistic regression, exploratory factor analysis and the outcome of factor analysis. We are going to explore how to conduct an experiment and an observational study, as well as content analysis and the use of digital analytics in market research. The course ends with a consideration of digital analytics, with an emphasis on digital brand analysis, audience analysis, digital ecosystem analysis, Return on Investment (ROI), and the role of digital analytics in market research.