All-provider course timetable

Test course description

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Test

Much of the session comprises a case study based on a medium sized University department. Delegates will examine University regulations and procedures and decide the actions for various scenarios and correct anomalies for selected sources of funds.

Being able to negotiate well is essential for many staff at all levels within the University. Recognise your strengths and weaknesses as a negotiator and learn how to identify and examine different negotiation techniques. Start to identify and practice those principled approaches that are most likely to prove successful when negotiating an important agreement or settlement.

Would you like to be in control of your day, enhance your reputation and gain more job satisfaction? Then this is the course for you! You will learn many practical time management tips to help you work smarter, not harder. This course will cover setting priorities, dealing with interruptions, managing the paper mountain and email avalanche, guidelines for saying ‘no’ and it will show you how to change your use of time.

Being able to negotiate well is essential for many staff at all levels within the University. Recognise your strengths and weaknesses as a negotiator and learn how to identify and examine different negotiation techniques. Start to identify and practice those principled approaches that are most likely to prove successful when negotiating an important agreement or settlement.

This module introduces students to four of the most commonly used statistical tests in the social scinces: Correlations, Chi-square tests, T-tests, and one-way ANOVAs.

This module introduces students to four of the most commonly used statistical tests in the social scinces: Correlations, Chi-square tests, T-tests, and one-way ANOVAs.

This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research

Introduction to statistical techniques of Exploratory and Confirmation Factor Analyss. EFA is used to uncover the latent structure of a set of variables. CFA examines whether collected date correspond to a model of what the data are meant to measure. AMOS will be introduced as a powerful tool to conduct confirmatory factor analysis.

This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research

An introduction to the wide range of resources available at the MML Library and the UL, both in print and online.

Would you like to take a moment to relax, then this is the event for you!

Your lab notebook is one of the most important and precious objects you, as a scientist, will ever have. This session explore how keeping an exemplary laboratory notebook is crucial to good scientific practice in lab research. The course will consist of a short talk, a chance to assess some examples of good and bad practice, with plenty of time for questions and discussion. You might like to bring along your own lab notebook for feedback. (Please note that issues relating to protection of Intellectual Property Rights will not be covered in this session)

This module introduces students to four of the most commonly used statistical tests in the social scinces: Correlations, Chi-square tests, T-tests, and one-way ANOVAs.

This module introduces students to four of the most commonly used statistical tests in the social scinces: Correlations, Chi-square tests, T-tests, and one-way ANOVAs.

This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research

Introduction to statistical techniques of Exploratory and Confirmation Factor Analyss. EFA is used to uncover the latent structure of a set of variables. CFA examines whether collected date correspond to a model of what the data are meant to measure. AMOS will be introduced as a powerful tool to conduct confirmatory factor analysis.