skip to navigation skip to content

Department of Chemistry

Department of Chemistry course timetable

Show:

Sat 3 Dec – Fri 10 Mar 2017

Now Today

[ No events today ]

December 2016

Mon 5

The Masterclass is an intensive programme of talks from experts working in the broad areas of energy supply and demand, both in industry and the university. The focus is on technology challenges and opportunities, including examples of the use of science and engineering in the energy industry. The Masterclass covers a very broad range of themes, from conventional supplies, renewable supplies to energy efficiency, and it provides new insights about both long and short term challenges for the energy infrastructure. An important aspect of the Masterclass is the opportunity to learn about and debate some of the important questions concerning different energy sources, about energy efficiency and climate change. All undergraduates and graduate students may apply to attend the Masterclass, especially those in engineering, physical science or chemical engineering. To register please go to http://www.bpi.cam.ac.uk/masterclass2016

Tue 6
IS3 Research Information Skills [Places] 09:00 - 11:00 Unilever Lecture Theatre

This compulsory course will equip you with the skills required to manage the research information you will need to gather throughout your graduate course, as well as the publications you will produce yourself. It will also help you enhance your online research profile and measure the impact of research.

A short break for refreshments will be included

The Masterclass is an intensive programme of talks from experts working in the broad areas of energy supply and demand, both in industry and the university. The focus is on technology challenges and opportunities, including examples of the use of science and engineering in the energy industry. The Masterclass covers a very broad range of themes, from conventional supplies, renewable supplies to energy efficiency, and it provides new insights about both long and short term challenges for the energy infrastructure. An important aspect of the Masterclass is the opportunity to learn about and debate some of the important questions concerning different energy sources, about energy efficiency and climate change. All undergraduates and graduate students may apply to attend the Masterclass, especially those in engineering, physical science or chemical engineering. To register please go to http://www.bpi.cam.ac.uk/masterclass2016

Wed 7
IS4 Research Data Management [Full] 13:00 - 15:00 Todd-Hamied

This compulsory session introduces Research Data Management (RDM) to Chemistry PhD students. It is highly interactive and utilises practical activities throughout.

Key topics covered are:

  • Research Data Management (RDM) - what it is and what problems can occur with managing and sharing your data.
  • Data backup and file sharing - possible consequences of not backing up your data, strategies for backing up your data and sharing your data safely.
  • Data organisation - how to organise your files and folders, what is best practice.
  • Data sharing - obstacles to sharing your data, benefits and importance of sharing your data, the funder policy landscape, resources available in the University to help you share your data.
  • Data management planning - creating a roadmap for how not to get lost in your data!

Lunch and refreshments are included for this course

Fri 9
FS3 Integrity and Ethics in Research [Standby] 09:00 - 12:00 Todd-Hamied

A thorough awareness of issues relating to research ethics and research integrity are essential to producing excellent research. The first part of this session will provide an introduction to the ethical responsibilities of researchers at the University, the second will focus on publication ethics and both will be interactive, using case studies to better understand key ethical issues and challenges in all areas.

There are two sessions running, you need attend only one.

These sessions are held by Drs Emily Skinner (Publishing Ethics Specialist, RSC) and Rhys Morgan (Cambridge University Research Strategy Office)

January 2017

Mon 9
SC1-10 Statistics for Chemists (1 of 10) [Places] 09:30 - 12:00 G30

This course is made up of 10 sessions which will be based around the topics below: unlike other courses in the Graduate Lecture Series, it is essential to attend all 10 sessions to benefit from this training. Places are limited so please be absolutely certain upon booking that you will commit to the entire course.

Wed 11
SC1-10 Statistics for Chemists (2 of 10) [Places] 09:30 - 12:00 G30

This course is made up of 10 sessions which will be based around the topics below: unlike other courses in the Graduate Lecture Series, it is essential to attend all 10 sessions to benefit from this training. Places are limited so please be absolutely certain upon booking that you will commit to the entire course.

Fri 13
FS8 Supervising Undergraduates [Places] 13:00 - 14:00 Unilever Lecture Theatre

In this short talk we will cover what supervisions are, the role they play in Cambridge teaching, and how supervisors are recruited. We will then go on to look at how you can prepare for supervising, how you can conduct a supervision, and how to deal with common pitfalls.

Mon 16
SC1-10 Statistics for Chemists (3 of 10) [Places] 10:00 - 12:00 G30

This course is made up of 10 sessions which will be based around the topics below: unlike other courses in the Graduate Lecture Series, it is essential to attend all 10 sessions to benefit from this training. Places are limited so please be absolutely certain upon booking that you will commit to the entire course.

Wed 18
SC1-10 Statistics for Chemists (4 of 10) [Places] 10:00 - 12:00 G30

This course is made up of 10 sessions which will be based around the topics below: unlike other courses in the Graduate Lecture Series, it is essential to attend all 10 sessions to benefit from this training. Places are limited so please be absolutely certain upon booking that you will commit to the entire course.

Fri 20
IS4 Research Data Management [Places] 09:00 - 11:00 Todd-Hamied

This compulsory session introduces Research Data Management (RDM) to Chemistry PhD students. It is highly interactive and utilises practical activities throughout.

Key topics covered are:

  • Research Data Management (RDM) - what it is and what problems can occur with managing and sharing your data.
  • Data backup and file sharing - possible consequences of not backing up your data, strategies for backing up your data and sharing your data safely.
  • Data organisation - how to organise your files and folders, what is best practice.
  • Data sharing - obstacles to sharing your data, benefits and importance of sharing your data, the funder policy landscape, resources available in the University to help you share your data.
  • Data management planning - creating a roadmap for how not to get lost in your data!

Lunch and refreshments are included for this course

Mon 23
SC1-10 Statistics for Chemists (5 of 10) [Places] 10:00 - 12:00 G30

This course is made up of 10 sessions which will be based around the topics below: unlike other courses in the Graduate Lecture Series, it is essential to attend all 10 sessions to benefit from this training. Places are limited so please be absolutely certain upon booking that you will commit to the entire course.

Wed 25
SC1-10 Statistics for Chemists (6 of 10) [Places] 10:00 - 12:00 G30

This course is made up of 10 sessions which will be based around the topics below: unlike other courses in the Graduate Lecture Series, it is essential to attend all 10 sessions to benefit from this training. Places are limited so please be absolutely certain upon booking that you will commit to the entire course.

Thu 26
IS1 Chemistry Library Orientation [Places] 10:15 - 10:45 Library

This is a compulsory session which introduces new graduate students to the Department of Chemistry Library and its place within the wider Cambridge University Library system. It provides general information on what is available, where it is, and how to get it. Print and online resources are included.

You must choose one session out of the 9 sessions available.

Mon 30
SC1-10 Statistics for Chemists (7 of 10) [Places] 10:00 - 12:00 G30

This course is made up of 10 sessions which will be based around the topics below: unlike other courses in the Graduate Lecture Series, it is essential to attend all 10 sessions to benefit from this training. Places are limited so please be absolutely certain upon booking that you will commit to the entire course.

February 2017

Wed 1
SC1-10 Statistics for Chemists (8 of 10) [Places] 10:00 - 12:00 G30

This course is made up of 10 sessions which will be based around the topics below: unlike other courses in the Graduate Lecture Series, it is essential to attend all 10 sessions to benefit from this training. Places are limited so please be absolutely certain upon booking that you will commit to the entire course.

Fri 3
FS10 Effective Researchers in Chemistry [Places] 12:00 - 17:00 U202

‘Effective Researchers in Chemistry’ is for first year PhD students starting to engage with their projects. This workshop provides a highly interactive opportunity for PhD students to share issues and come to terms with what is actually required from them. Exercises cover project planning and management and working effectively with others (including supervisors). The lead tutor is a Chartered Chemist with extensive R&D management experience in industry, including the supervision of PhD students working on collaborative projects.

Mon 6
SC1-10 Statistics for Chemists (9 of 10) [Places] 10:00 - 12:00 G30

This course is made up of 10 sessions which will be based around the topics below: unlike other courses in the Graduate Lecture Series, it is essential to attend all 10 sessions to benefit from this training. Places are limited so please be absolutely certain upon booking that you will commit to the entire course.

Wed 8
SC1-10 Statistics for Chemists (10 of 10) [Places] 10:00 - 12:00 G30

This course is made up of 10 sessions which will be based around the topics below: unlike other courses in the Graduate Lecture Series, it is essential to attend all 10 sessions to benefit from this training. Places are limited so please be absolutely certain upon booking that you will commit to the entire course.

Mon 13
FS11 Scientific Writing: From Pain to Pleasure [Places] 13:00 - 14:00 Unilever Lecture Theatre

Much of scientific knowledge and information is communicated in written form, be it via journal publications, theses or in other media. However, scientific writing differs from other styles of writing quite significantly, with regard to structure, grammar and word choice. This lecture will outline the basics of what to consider when 'writing science', in order to smoothen the path to your first peer-reviewed publication, as well as your later thesis.

Tue 14
FS12 Managing Your Relationship with Your Supervisor [Places] 13:00 - 14:00 Todd-Hamied

The relationship between a PhD student and their supervisor can be one of the most important relationships in a scientist’s career. This session will discuss what makes a successful relationship and how to manage any difficulties that might arise.

Wed 15

The main aim of giving a presentation to the public or a science venue is to present information in a way that the audience will remember at a later time. There are several ways in which we can improve this type of impact with an audience. This interactive lecture explores some of those mechanisms.

Thu 16
FS13 LaTex [Places] 09:00 - 13:00 G30

This hands-on course teaches the basics of Latex including syntax, lists, maths equations, basic chemical equations, tables, graphical figures and internal and external referencing. We also learn how to link documents to help manage large projects. The course manual is presented in the style of a thesis and since you also receive the source code you also receive a template for a thesis.

March 2017

Thu 9
FS15 Creating Publication Quality Figures: Plotting Data new [Places] 13:00 - 14:00 Unilever Lecture Theatre

This 1 hour lecture will take a tour through the pitfalls of plotting and point the path towards better figures! We will cover the common mistakes and general principles of plotting various types of data including time-series, statistical and geospatial. We will conclude with pointers towards making better graphics and review graphic producing software.

Fri 10
FS15 Creating Publication Quality Figures: Images & Media new [Places] 13:00 - 14:00 Unilever Lecture Theatre

This course is under development