Quiz: It is a mid-semester assessment to your understanding of the knowledge content. This will be in MC and/or short answer.

Group Project: Elicit and document system requirements; assemble descriptions of the system using appropriate notations; design a simple web-based prototype; deliver/explain these in a video presentation.

UML Assignment: It is an individual assessment where students are asked to create relevant UML diagrams according to given information and requirements.

Final Exam: held in formal exam week with questions covering all topics included in the lecture, tute, report and project assignment. Detailed information for each assessment can be found on Canvas.

1. The 40% exam barrier policy

It is a policy of the School of Computer Science that in order to pass this unit, a student must achieve at least 40% in the final examination. For subjects without a final exam, the 40% minimum requirement applies to the corresponding major assessment component specified by the lecturer. A student must also achieve an overall final mark of 50 or more. Any student not meeting these requirements may be given a maximum final mark of no more than 45 regardless of their average.

2. Usage of similarity detection software

IMPORTANT: School policy relating to Academic Dishonesty and Plagiarism.
In assessing a piece of submitted work, the School of Computer Science may reproduce it entirely, may provide a copy to another member of faculty, and/or to an external plagiarism checking

service or in-house computer program and may also maintain a copy of the assignment for future checking purposes and/or allow an external service to do so.” And then depending on whether we check for software similarity of text similarity in documents:

"Computer programming assignments may be checked by specialist code similarity detection software. The Faculty of Engineering currently uses the MOSS similarity detection engine (see http://theory.stanford.edu/~aiken/moss/), or the similarity report available in ED (edstem.org). These programs work in a similar way to TurnItIn in that they check for similarity against a database of previously submitted assignments and code available on the internet, but they have added functionality to detect cases of similarity of holistic code structure in cases such as global search and replace of variable names, reordering of lines, changing of comment lines, and the use of white space.”

All written assignments submitted in this unit of study will be submitted to the similarity detecting software program known as Turnitin. Turnitin searches for matches between text in your written assessment task and text sourced from the Internet, published works and assignments that have previously been submitted to Turnitin for analysis.

There will always be some degree of text-matching when using Turnitin. Text-matching may occur in use of direct quotations, technical terms and phrases, or the listing of bibliographic material. This does not mean you will automatically be accused of academic dishonesty or plagiarism, although Turnitin reports may be used as evidence in academic dishonesty and plagiarism decision-making processes.

3. Usage of generative AI

The use of generative AI (e.g. ChatGPT, Bard) is allowed as a research assistant, but it is not allowed to submit work directly generated by these tools, or only simple changes applied to the output generated by these tools. A declaration form together with a description on how generative AI is required for each submitted assessment. A submission without the associated declaration form will be considered as "No submission" and will attract a zero mark for that piece of assessment.