Select a dataset that can be applied to a DevOps-related problem (e.g., CI/CD pipeline failures, incident management, monitoring, or code quality). Ensure the dataset is realistic, relevant, and feasible for further analysis in Coursework 2.
Brief Coursework 1 – Presentation (Practical) [25%] Submission Deadline: 3rd November 2025 Feedback date: 1st Dec 2025 Module Title: Intelligence Engineering and Infrastructure Module Code: COM774 (79166) Semester (s) Taught: One Course / Year Group: MSc CS/AI/AI(CUQ)/7 Coursework / Exam Weighting: 25% (of Total coursework) This module is assessed by two pieces i.e. coursework CW1 and CW2. Coursework 1 is explained in the document as follows: Coursework 1 is a practical assignment presented in the form of a video presentation. It focuses on the selection and pre-processing of a dataset and is designed to assess students’ fundamental understanding of data. The primary objective is to identify and prepare a suitable dataset that can be used to address a DevOps-related problem. This dataset will serve as the foundation for Coursework 2, in which a machine learning (ML) solution will be developed. At this stage, students are […]