Case Studies in Data Analytics and Artificial Intelligence - CMI3506

Assessment 1: Other

There will be built in milestones where students can check their progress and receive guidance – specifically when choosing a topic, completion of literature review.

Other

Assessment 2: Written draft

There will be a separate opportunity for feedback on draft assignment work.

Written draft

Assessment 2: Presentation

Solution Reporting: Working in groups, perform an experimental/prototype solution to support your investigation. The aim of the experimental work is to illustrate some feature of the application area while working collaboratively and participating in a peer review process. The solution should include consideration of resourcing for potential future research and/or development. This may be achieved through taking the form of a prototype example, e.g., to base your study in the area of fuzzy systems with simulated data; Alternatively, it may be more experimental to perform classification tasks with benchmark datasets. You will present your work as a group in a presentation of total duration up to 20 minutes.

Presentation

Assessment 1: Written Assignment

Literature Review: Working in groups, conduct a literature survey focusing on the investigation of and application of knowledge (such as fuzzy systems and evolutionary computation or any in the general area of machine learning) to a self selected application area in Data Analytics or Artificial Intelligence. Communicate survey results in a report (indicative word count 3000 words) that should outline the general idea of a technical solution using AI and data analytics.

Written Assignment

<p>The purpose of this module is to enable you to appreciate the historical, current and future application areas of Artificial Intelligence and Data Analytics in relation to both theoretical and practical aspects and to investigate at least one application area in depth. Case studies discussed in the sessions will provide an exploration of applications in a variety of different areas and will be achieved by combinations of study of current research papers, tutors’ own research &amp; the investigative work of the students within the module.</p>

School of Computing and Engineering

<p>https://library.hud.ac.uk/readinglists/CMI3506</p>

Computing and Information Systems

CMI3506 - Case Studies in Data Analytics and Artificial Intelligence

Case Studies in Data Analytics and Artificial Intelligence

Synthesise a solution to a problem (planned in LO2) and evaluate the solution.

Critically appraise relevant literature in order to formulate a plan for their own practical/experimental work.

Recognise the multi-disciplinary nature of Data Analysis and/or Artificial Intelligence and the potential application areas.

Apply Data Analysis and/or AI techniques to given practical problems.