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Research Skills (CENG0091)

Key information

Faculty
Faculty of Engineering Sciences
Teaching department
Chemical Engineering
Credit value
15
Restrictions
N/A
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module will provide students with an introduction to research, giving an insight into the underlying principles upon which scientific research is based.Ìý

It will then go on to describe the tools and methods used to carry out and disseminate both quantitative and qualitative research. It will include 7 major themes:ÌýÌý

  • Analysis of DataÌýÌý
  • Presenting DataÌý
  • Management, Storage and Archiving of DataÌýÌýÌý
  • Performing a Literature ReviewÌý
  • Oral and Visual PresentationsÌý
  • Managing ResearchÌý
  • Being Ethical in ResearchÌý

Aims:

The primary aim of this course is to fully prepare students to successfully complete their MSc dissertation module (CENG0057, 60 credits), while providing them with a range of skills that will have a demonstratable benefit to their onward career beyond Ïã¸ÛÁùºÏ²Ê.ÌýÌý

There will be a mix of taught material and interactive tutorials to give students experience of, and practice in, a range of research skills, in particular relating to data handling and analysis, interaction with the scientific literature and scientific writing, research ethics, and oral presentation.

Learning outcomes:

By the end of the course, learners are expected to be able to:Ìý

  • Apply the principles of research using the scientific methods.Ìý
  • Recognise why we need to be ethical in research.Ìý
  • Engage with research in the scientific literature.Ìý
  • Develop ideas of how to manage research projects and the data collected.Ìý
  • Communicate scientific ideas, including past research and own findings.Ìý
  • Identify quantitative research methods available and in which domain they are most appropriate.Ìý
  • Analyse numerical data and using statistics.Ìý
  • Present appropriately numerical data, including using software and coding tools to process and present data.Ìý

Module deliveries for 2024/25 academic year

Intended teaching term: Terms 1 and 2 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
50% Coursework
20% Group activity
20% Viva or oral presentation
10% Other form of assessment
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
0
Module leader
Dr Thomas Miller
Who to contact for more information
chemeng.teaching.admin@ucl.ac.uk

Last updated

This module description was last updated on 19th August 2024.

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