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Module

DSC2004 : Data Engineering and Visualisation

  • Inactive for Year: 2026/27
  • Module Leader(s): Professor Daniel Archambault
  • Lecturer: Dr Joe Matthews
  • Owning School: Computing
  • Teaching Location: Newcastle City Campus
Semesters

Your programme is made up of credits, the total differs on programme to programme.

Semester 1 Credit Value: 20
ECTS Credits: 10.0
European Credit Transfer System

Aims

N/A

Outline Of Syllabus

N/A

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Structured Guided LearningLecture materials201:0020:00Reading through lecture materials – preparing / follow up
Guided Independent StudyAssessment preparation and completion162:0062:00Independent study and revision for final written exam
Scheduled Learning And Teaching ActivitiesLecture211:0021:00Lectures
Guided Independent StudyAssessment preparation and completion12:002:00Completion of written exam
Guided Independent StudyAssessment preparation and completion135:0035:00Preparation of completion of summative report
Guided Independent StudyAssessment preparation and completion120:0020:00Preparation for practical sessions that include formative practical assessments
Guided Independent StudyDirected research and reading201:0020:00Wider reading as per provided reading list
Total180:00
Teaching Rationale And Relationship

This module includes an encounter with the leading edge of research.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Exams
Description Length Semester When Set Percentage Comment
Written Examination1201A80Written exam
Other Assessment
Description Semester When Set Percentage Comment
Report1M15Report of up to 10 pages Template provided in a question/answer format specifying the choices made.
Prof skill assessmnt1M5Submission and presentation of code associated with report
Formative Assessments

Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.

Description Semester When Set Comment
Written exercise1MPractical exercise of up to four pages
Assessment Rationale And Relationship

The written examination assesses students’ understanding of the principles, methods, and workflows associated with data preparation, management, exploration, and communication within a more theoretical setting. The examination evaluates students’ ability to reason about computational approaches, structured data systems, querying methods, visualisation techniques, and communication of data-driven findings within theoretical and applied contexts. The examination primarily assesses conceptual understanding, analytical reasoning, and critical evaluation associated with computational and data management approaches, and is delivered as a standard two-hour written examination. (MLO1, MLO2, MLO3, MLO4)

The coursework assesses students’ ability to apply computational, analytical, and visualisation approaches within an applied problem setting. Students will submit code, a demonstration video, and a structured report of no more than ten pages in a question-and-answer format reflecting on approaches, workflows, and decisions made during the task. The coursework particularly emphasises the practical application of programming tools, management and processing of structured data, creation of effective visualisations, and communication of data-driven findings to different audiences within a realistic workflow context. (MLO1, MLO2, MLO3, MLO4)

The formative practical exercises provide opportunities for students to practise computational, analytical, and visualisation techniques and receive feedback in advance of the summative assessments. These activities support the development of skills required for both the examination and coursework components.

The assessment structure supports the development of both theoretical understanding and practical data workflow skills, enabling students to develop confidence in the preparation, analysis, visualisation, and communication of data-driven insights.


Alternative assessment:

For students with a Student Support Plan (SSP) who have alternative assessment as a reasonable adjustment and/or students with supported Personal Extenuating Circumstances (PEC), it may be necessary to set an alternative assessment as presented below. Due to the professional requirements of some programmes, alternative assessments may not be available even where students are eligible.

An oral examination comprising a 15-minute prepared topic followed by 15 minutes of questions from the overall module syllabus may be offered as an alternative to the written examination where appropriate.

Reading Lists

Timetable