Department of Chemistry course timetable
May 2023
| Wed 3 |
ST9: Next Generation Therapeutics
[Places]
This course will introduce the new generation of molecules, including novel peptides, oligonucleotides, hybrids, and molecular conjugates, that are enabling novel strategies to address challenging targets and biological processes. This workshop will review these next generation therapeutics, and will highlight progress in this area towards a range of novel drug candidates. |
| Mon 8 |
ST10: Asymmetric Catalysis
[Places]
These lectures will provide an introduction to the field with relevant background and theory, a survey of main strategies that have been used and are most widely practised and finally will cover current challenges and latest approaches in the area. |
| Wed 10 |
ST10: Asymmetric Catalysis
[Places]
These lectures will provide an introduction to the field with relevant background and theory, a survey of main strategies that have been used and are most widely practised and finally will cover current challenges and latest approaches in the area. |
| Mon 15 |
ST10: Asymmetric Catalysis
[Places]
These lectures will provide an introduction to the field with relevant background and theory, a survey of main strategies that have been used and are most widely practised and finally will cover current challenges and latest approaches in the area. |
| Wed 17 |
In this course we will give a brief introduction to the theory and simulation of molecules and materials. The focus will be on explaining at an introductory level the types of problems and properties that can be tackled with current techniques in theoretical chemistry. Limitations of current methods and future perspectives of where the field is heading and its intersection with modern experimental methods will also be discussed. |
| Wed 24 |
In these introductory lectures, you will learn how machine learning inspired methods have been making inroads into molecular modelling, particularly first principles modelling. The focus will be on descriptors and representations of atomic geometry and modelling potential energy surfaces. |
| Thu 25 |
In these introductory lectures, you will learn how machine learning inspired methods have been making inroads into molecular modelling, particularly first principles modelling. The focus will be on descriptors and representations of atomic geometry and modelling potential energy surfaces. |
June 2023
| Tue 6 |
ST13 Polymer Chemistry
[Places]
The course will be a brief overview of polymer chemistry, covering a range of synthetic methods and interests in the context of drug delivery. |
| Thu 8 |
These lectures seek to provide an overarching vision of chemical synthesis methodology using machinery as enabling tools. They will highlight current capabilities and limitations in this highly digitally connected world and suggest where new opportunities may arise in the future, going well beyond our present levels of innovation and automation. |
| Fri 9 |
ST13 Polymer Chemistry
[Places]
The course will be a brief overview of polymer chemistry, covering a range of synthetic methods and interests in the context of drug delivery. |
| Mon 12 |
ST13 Polymer Chemistry
[Places]
The course will be a brief overview of polymer chemistry, covering a range of synthetic methods and interests in the context of drug delivery. |
| Tue 13 |
These lectures seek to provide an overarching vision of chemical synthesis methodology using machinery as enabling tools. They will highlight current capabilities and limitations in this highly digitally connected world and suggest where new opportunities may arise in the future, going well beyond our present levels of innovation and automation. |
| Thu 15 |
These lectures seek to provide an overarching vision of chemical synthesis methodology using machinery as enabling tools. They will highlight current capabilities and limitations in this highly digitally connected world and suggest where new opportunities may arise in the future, going well beyond our present levels of innovation and automation. |
| Tue 20 |
In order to use machine learning methods on molecular data, it is necessary to express molecular structures in a form which can be used as the input. This workshop will outline ways in which this challenge has been addressed, including the InChI, SMILES, fingerprints and other ways of expressing molecules as text strings. The strengths and weaknesses of the various approaches makes them suitable for different applications. What will be most appropriate for the molecular problems you are tackling? |
| Thu 22 |
In these lectures, i will cover new strategies that have advanced our ability to make molecules of function. I will cover a range of topics including radical chemistry, photoredox and molecular editing technologies. |
| Mon 26 |
ST17: Machine Learning for Chemists
[Places]
This is an advanced workshop providing a hands-on opportunity to work on several case studies in teams during the workshop. Several applications of classical ML and deep learning approaches in chemistry will be reviewed. As part of the tasks assigned to groups, the fundamentals such as data acquisition, preparation and modelling will be included. |
| Tue 27 |
ST17: Machine Learning for Chemists
[Places]
This is an advanced workshop providing a hands-on opportunity to work on several case studies in teams during the workshop. Several applications of classical ML and deep learning approaches in chemistry will be reviewed. As part of the tasks assigned to groups, the fundamentals such as data acquisition, preparation and modelling will be included. |
| Wed 28 |
ST17: Machine Learning for Chemists
[Places]
This is an advanced workshop providing a hands-on opportunity to work on several case studies in teams during the workshop. Several applications of classical ML and deep learning approaches in chemistry will be reviewed. As part of the tasks assigned to groups, the fundamentals such as data acquisition, preparation and modelling will be included. |
| Thu 29 |
In these lectures, i will cover new strategies that have advanced our ability to make molecules of function. I will cover a range of topics including radical chemistry, photoredox and molecular editing technologies. |
July 2023
| Thu 6 |
In these lectures, i will cover new strategies that have advanced our ability to make molecules of function. I will cover a range of topics including radical chemistry, photoredox and molecular editing technologies. |