Department of Chemistry course timetable

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.

Once booked you will receive a link to both sessions via Zoom.

These lectures will introduce the basics of crystallography and diffraction, assuming no prior knowledge. The aim is to provide an overview that will inspire and serve as a basis for researchers to use the Department’s single-crystal and/or powder X-ray diffraction facilities or to appreciate more effectively results obtained through the Department’s crystallographic services. The final lecture will be devoted to searching and visualising crystallographic data using the Cambridge Structural Database system.

These lectures will introduce the basics of crystallography and diffraction, assuming no prior knowledge. The aim is to provide an overview that will inspire and serve as a basis for researchers to use the Department’s single-crystal and/or powder X-ray diffraction facilities or to appreciate more effectively results obtained through the Department’s crystallographic services. The final lecture will be devoted to searching and visualising crystallographic data using the Cambridge Structural Database system.

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

This compulsory training will available online via moodle.

We are offering drop in sessions for you to discuss queries with the course trainer. Please book one 15 minute session. You will be asked to confirm your attendance one day before, if you do not confirm your slot will be allocated to someone else.

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

This compulsory training will available online via moodle.

We are offering drop in sessions for you to discuss queries with the course trainer. Please book one 15 minute session. You will be asked to confirm your attendance one day before, if you do not confirm your slot will be allocated to someone else.

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

This compulsory training will available online via moodle.

We are offering drop in sessions for you to discuss queries with the course trainer. Please book one 15 minute session. You will be asked to confirm your attendance one day before, if you do not confirm your slot will be allocated to someone else.

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

This compulsory training will available online via moodle.

We are offering drop in sessions for you to discuss queries with the course trainer. Please book one 15 minute session. You will be asked to confirm your attendance one day before, if you do not confirm your slot will be allocated to someone else.

An opportunity ask questions to the course trainer re Fortran 90/95.

• Please email training@ch.cam.ac.uk to book one 15 minute slot. You will be asked to confirm your attendance one day before.

An opportunity ask questions to the course trainer re Fortran 90/95.

• Please email training@ch.cam.ac.uk to book one 15 minute slot. You will be asked to confirm your attendance one day before.

An opportunity ask questions to the course trainer re Fortran 90/95.

• Please email training@ch.cam.ac.uk to book one 15 minute slot. You will be asked to confirm your attendance one day before.

An opportunity ask questions to the course trainer re Fortran 90/95.

• Please email training@ch.cam.ac.uk to book one 15 minute slot. You will be asked to confirm your attendance one day before.

An opportunity ask questions to the course trainer re Fortran 90/95.

• Please email training@ch.cam.ac.uk to book one 15 minute slot. You will be asked to confirm your attendance one day before.

An opportunity ask questions to the course trainer re Fortran 90/95.

• Please email training@ch.cam.ac.uk to book one 15 minute slot. You will be asked to confirm your attendance one day before.

Communicating your research in an engaging and easily understood manner is important for any audience and all the more so for non-academic audiences. This workshop will take you through the art and science of engaging communication, and outline the opportunities and support within the University for public engagement.

This course is made up of 8 sessions which will be based around the topics below: unlike other courses in the Graduate Lecture Series, it is essential to attend all 8 sessions to benefit from this training. Places are limited so please be absolutely certain upon booking that you will commit to the entire course.

Once you book this course, you will need to register for each session via Zoom.

This course is made up of 8 sessions which will be based around the topics below: unlike other courses in the Graduate Lecture Series, it is essential to attend all 8 sessions to benefit from this training. Places are limited so please be absolutely certain upon booking that you will commit to the entire course.

Once you book this course, you will need to register for each session via Zoom.

This course is made up of 8 sessions which will be based around the topics below: unlike other courses in the Graduate Lecture Series, it is essential to attend all 8 sessions to benefit from this training. Places are limited so please be absolutely certain upon booking that you will commit to the entire course.

Once you book this course, you will need to register for each session via Zoom.

This course is made up of 8 sessions which will be based around the topics below: unlike other courses in the Graduate Lecture Series, it is essential to attend all 8 sessions to benefit from this training. Places are limited so please be absolutely certain upon booking that you will commit to the entire course.

Once you book this course, you will need to register for each session via Zoom.

This course is made up of 8 sessions which will be based around the topics below: unlike other courses in the Graduate Lecture Series, it is essential to attend all 8 sessions to benefit from this training. Places are limited so please be absolutely certain upon booking that you will commit to the entire course.

Once you book this course, you will need to register for each session via Zoom.

This course will focus on recent progress in the application of kernel-based methods, Random Forests and Deep Neural Networks to modelling in chemistry. The material will build on the content of the core Informatics course and introduce new descriptors, advanced modelling techniques and example applications drawn from the current literature. Lectures will be interactive, with students working through computational exercises during class sessions.

This course is made up of 8 sessions which will be based around the topics below: unlike other courses in the Graduate Lecture Series, it is essential to attend all 8 sessions to benefit from this training. Places are limited so please be absolutely certain upon booking that you will commit to the entire course.

Once you book this course, you will need to register for each session via Zoom.

This course will focus on recent progress in the application of kernel-based methods, Random Forests and Deep Neural Networks to modelling in chemistry. The material will build on the content of the core Informatics course and introduce new descriptors, advanced modelling techniques and example applications drawn from the current literature. Lectures will be interactive, with students working through computational exercises during class sessions.

An applied introduction to probabilistic modelling, machine learning and artificial intelligence-based approaches for students with little or no background in theory and modelling. The course will be taught through a series of case studies from the current literature in which modelling approaches have been applied to large datasets from chemistry and biochemistry. Data and code will be made available to students and discussed in class. Students will become familiar with python based tools that implement the models though practical sessions and group based assignments.