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Research > Entrepreneurship in the Research Context
Researchers taking this course will learn about entrepreneurial motivation, appetite for risk, skills and capabilities, and what makes entrepreneurs successful. They will also get a good overview of how an entrepreneurial journey fits together, and how their own journey might take shape.
Studying > Student Success
This course explores academic integrity and gives students the tools to use sources effectively and honestly.
Studying > Academic Success: Skills for Learning, Skills for Life
This course explores academic integrity and provides advice on avoiding plagiarism.
Research > Advancing your Research Career – Strategies for Research Leadership
This module offers an opportunity to explore how to plan and manage research engagement strategy: connecting with the audiences. It also discusses accelerating and optimising the outcomes from research, and how to promote your reputation as an effective researcher.
Research > Advancing your Research Career – Strategies for Research Leadership
This module looks at the identity, goals and motivations that drive research careers, personal strengths and values, careers within and beyond academia, research leadership, developing a career strategy and sources of support for career development.
Research > Enhancing Research Impact
This introductory course looks in detail at definitions and examples of research impact in different contexts and provides an overview of how impact was assessed in the 2014 UK REF exercise. It encourages researchers to think more broadly about why their research is important, what motivates them and what they want to achieve.
Research > Undertaking a Literature Review
This module will describe how to bring together all your literature and write up your review.
Research > Statistical Methods for Research - Biomedical Sciences
This course investigates the strategies for testing hypotheses when the outcome of interest is binary. It demonstrates the two-sample z-test and the chi-squared test, assesses the adequacy of methods based on a Normal approximation and emphasises the need for exact methods.
Research > Statistical Methods for Research - Business
This course investigates the strategies for testing hypotheses when the outcome of interest is binary. It demonstrates the two-sample z-test and the chi-squared test, assesses the adequacy of methods based on a Normal approximation and emphasises the need for exact methods.
Research > Statistical Methods for Research - Engineering
This course investigates the strategies for testing hypotheses when the outcome of interest is binary. It demonstrates the two-sample z-test and the chi-squared test, assesses the adequacy of methods based on a Normal approximation and emphasises the need for exact methods.
Research > Statistical Methods for Research - Natural Sciences
This course investigates the strategies for testing hypotheses when the outcome of interest is binary. It demonstrates the two-sample z-test and the chi-squared test, assesses the adequacy of methods based on a Normal approximation and emphasises the need for exact methods.
Research > Statistical Methods for Research - Social Sciences
This course investigates the strategies for testing hypotheses when the outcome of interest is binary. It demonstrates the two-sample z-test and the chi-squared test, assesses the adequacy of methods based on a Normal approximation and emphasises the need for exact methods.
Research > Good Clinical Practice
There are an array of regulatory issues, contracts, forms to complete and guidelines to understand in the process of setting up a clinical trial today. This course will guide you through this process.
Research > Supervising Doctoral Studies, First Edition
This unit encourages supervisors to examine their personal experience of supervision and their own supervisory practices with a view to informing their working relationship with their doctoral candidate. The unit will explore the concept of research supervision as pedagogy; different supervisory styles and aligning them with a candidate's needs; the importance of establishing supervisor/candidate expectations, roles and responsibilities as early as possible and how to do it; and how to promote an inclusive approach to the diverse doctoral student population.
Studying > Academic Integrity: For Staff
This module explains the academic integrity challenges arising from different types of assessment. It also addresses issues of collusion and the challenges of off-site assessment.
Research > Supervising Doctoral Studies, Second Edition
This module explores strategies for attracting, recruiting and evaluating prospective doctoral candidates, raises awareness of the influence of unconscious bias, and covers pre-arrival support.
Research > Supervising Doctoral Studies, First Edition
This unit explores the issue of candidate recruitment and selection. It will encourage participants to consider their own motives and circumstances when thinking about recruiting doctoral candidates. Participants will receive practical advice on how to attract the best candidates and evaluate their research potential (including tips on interviewing potential candidates), and guidance on the key information needed by potential candidates to help meet their expectations and needs.
Research > Research Quality and Reproducibility
This module looks at the importance of disseminating research, with an overview of the peer review and publication process. Guidance is also given on preparing a manuscript and how to emphasize the rigor of the research, as well as publishing failed experiments and negative results.
Studying > Avoiding Plagiarism
This course explains what is meant by plagiarism and how you can avoid it.
Studying > Avoiding Plagiarism
This course explains what is meant by plagiarism and provides information on the key issues affecting you.