The assessment of the projects and examples from previous years. HTML Project reports All project reports are worth 80% of the total marks. The most important principles are: Quality is more important than quantity (25 pages of well-presented analysis can get a very high mark). You must show your work and present an understanding of the subject. Two academic staff, including your supervisor, assess your report using the Marking Grade Descriptors: Marking grade descriptors for Reports [password protected]. Project talks All projects have a presentation worth 20% of the total marks. The aim of the talk is to provide enough information to understand the basic sense of the project. The mark depends on preparation, structure, presentation, use of audiovisual resources, and engagement with the audience. Two academic staff assess project talk using the following Marking grade descriptors for Presentations [password protected]. Grade-related marking criteria A1 (90-100%) An outstanding report showing an exceptional degree of insight and independent thought. A2 (80-89%) An excellent report that develops a highly innovative methodology to address research questions. A3 (70-79%) An excellent report that maintains a sophisticated level of analysis throughout. B (60-69%) A very good report that shows qualities beyond the merely routine. C (50-59%) A good report, though showing elements of the routine and predictable. D (40-49%) A satisfactory report, which displays familiarity with relevant literature and the issues under investigation. E (30-39%) A report which demonstrates some understanding of the research enterprise, but is not sufficient for a pass. F (20-29%) A report which clearly falls short of the standard expected. G (10-19%) Work that displays serious weaknesses in methodology, aims, and familiarity with basic concepts. H (0-9%) A report containing little evidence that the author understands the nature of the research enterprise. References and plagiarism Providing appropriate references and avoiding plagiarism is very important. If you use someone's work, result or idea, it must be clearly stated in the report. The reader must be able to check claims made by you that are derived from work done by other people. It is dishonest to use other people's labour without mentioning it explicitly. The University information on plagiarism that you should study is linked below: Information Services - Plagiarism prevention and detection In particular, the pages linked below provide guidance for students: Student guidance on avoiding plagiarism Student guidance on Generative AI School of Mathematics academic misconduct information Use of generative AI Each group or individual must agree with their advisor the acceptable use of AI within the project based on one of the following categories: GenAI tools should be used, as the work has been designed with this intended. GenAI tools can be used in this work wherever you feel they are useful at your discretion. You can use GenAI tools to help with substantive parts of this work but not in the write up (e.g. to help with your coding but not with writing a final report). You cannot use GenAI tools to help with substantive parts of this work, but you can use it to help in the final write up (e.g. not to help with your coding but alright to use it to help in writing a final report). You may use GenAI tools to help you organize your thoughts particularly in preparing your writing, but you should not use it for substantive work or in the final wording of your work. You should not use GenAI in any stage of this work. As part of "own work declaration" state under which arrangement the project ran. Remember: Directly copying others' (even ChatGPTs) work without attribution would be considered plagiarism / academic misconduct. Remember: On its own a generative AI algorithm isn't necessarily correct or intelligent in a way that you may hope. You have the final responsibility for correctness of what is written in your report and stated in your presentation. Project supervision Projects vary in their nature: some rely on materials that provide substantial guidance, others require substantial input from the supervisor at particular points. General guidelines Supervision of students begins at the start of Year 4, no later than the end of Week 2. Students should meet regularly with their project supervisor: normally weekly through the period of the project. Students on a group project, combined honours project or dissertation should expect approximately 60 minutes per week of supervision. Students on an individual project should expect approximately 30 minutes per week of supervision. Supervisors are not to be expected to read a complete draft of the project report. Supervisors are expected to discuss the project report's structure and comment on matters of style. Examples of reports Example projects and dissertations (password protected) This article was published on 2025-02-26
HTML Project reports All project reports are worth 80% of the total marks. The most important principles are: Quality is more important than quantity (25 pages of well-presented analysis can get a very high mark). You must show your work and present an understanding of the subject. Two academic staff, including your supervisor, assess your report using the Marking Grade Descriptors: Marking grade descriptors for Reports [password protected]. Project talks All projects have a presentation worth 20% of the total marks. The aim of the talk is to provide enough information to understand the basic sense of the project. The mark depends on preparation, structure, presentation, use of audiovisual resources, and engagement with the audience. Two academic staff assess project talk using the following Marking grade descriptors for Presentations [password protected]. Grade-related marking criteria A1 (90-100%) An outstanding report showing an exceptional degree of insight and independent thought. A2 (80-89%) An excellent report that develops a highly innovative methodology to address research questions. A3 (70-79%) An excellent report that maintains a sophisticated level of analysis throughout. B (60-69%) A very good report that shows qualities beyond the merely routine. C (50-59%) A good report, though showing elements of the routine and predictable. D (40-49%) A satisfactory report, which displays familiarity with relevant literature and the issues under investigation. E (30-39%) A report which demonstrates some understanding of the research enterprise, but is not sufficient for a pass. F (20-29%) A report which clearly falls short of the standard expected. G (10-19%) Work that displays serious weaknesses in methodology, aims, and familiarity with basic concepts. H (0-9%) A report containing little evidence that the author understands the nature of the research enterprise. References and plagiarism Providing appropriate references and avoiding plagiarism is very important. If you use someone's work, result or idea, it must be clearly stated in the report. The reader must be able to check claims made by you that are derived from work done by other people. It is dishonest to use other people's labour without mentioning it explicitly. The University information on plagiarism that you should study is linked below: Information Services - Plagiarism prevention and detection In particular, the pages linked below provide guidance for students: Student guidance on avoiding plagiarism Student guidance on Generative AI School of Mathematics academic misconduct information Use of generative AI Each group or individual must agree with their advisor the acceptable use of AI within the project based on one of the following categories: GenAI tools should be used, as the work has been designed with this intended. GenAI tools can be used in this work wherever you feel they are useful at your discretion. You can use GenAI tools to help with substantive parts of this work but not in the write up (e.g. to help with your coding but not with writing a final report). You cannot use GenAI tools to help with substantive parts of this work, but you can use it to help in the final write up (e.g. not to help with your coding but alright to use it to help in writing a final report). You may use GenAI tools to help you organize your thoughts particularly in preparing your writing, but you should not use it for substantive work or in the final wording of your work. You should not use GenAI in any stage of this work. As part of "own work declaration" state under which arrangement the project ran. Remember: Directly copying others' (even ChatGPTs) work without attribution would be considered plagiarism / academic misconduct. Remember: On its own a generative AI algorithm isn't necessarily correct or intelligent in a way that you may hope. You have the final responsibility for correctness of what is written in your report and stated in your presentation. Project supervision Projects vary in their nature: some rely on materials that provide substantial guidance, others require substantial input from the supervisor at particular points. General guidelines Supervision of students begins at the start of Year 4, no later than the end of Week 2. Students should meet regularly with their project supervisor: normally weekly through the period of the project. Students on a group project, combined honours project or dissertation should expect approximately 60 minutes per week of supervision. Students on an individual project should expect approximately 30 minutes per week of supervision. Supervisors are not to be expected to read a complete draft of the project report. Supervisors are expected to discuss the project report's structure and comment on matters of style. Examples of reports Example projects and dissertations (password protected)
