Skip to main content


CEG2722 : Data Science 2

  • Offered for Year: 2020/21
  • Module Leader(s): Professor Philip James
  • Lecturer: Professor Peter Clarke
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semester 1 Credit Value: 5
Semester 2 Credit Value: 5
ECTS Credits: 5.0


This module introduces informatics in the context of spatial data manipulation and processing. It develops skills in the processing, analysis and manipulation of spatial data including vector, raster, image and position data. It builds on existing scripting skills and develops them in the spatial context. It provides an introduction to software and systems that will underpin further studies and facilitate individual research projects.

Outline Of Syllabus

This module covers:
•       Data in the spatial context
•       Vector and Raster models
•       Image manipulation
•       Processing GPS data
•       Scripting in GIS & ArcScripting
•       Statistical processing in R
•       Linux command line and shell
•       Matlab processing and analysis
•       Database connectivity

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion12:002:00Examination
Guided Independent StudyAssessment preparation and completion160:308:00Revision for examination
Scheduled Learning And Teaching ActivitiesLecture161:0016:00N/A
Guided Independent StudyAssessment preparation and completion35:0015:00Reports
Guided Independent StudyDirected research and reading110:0010:00N/A
Scheduled Learning And Teaching ActivitiesPractical63:0018:00N/A
Guided Independent StudyIndependent study131:0031:00Includes background reading and reading lecture notes for a full understanding of material.
Teaching Rationale And Relationship

•       Students will be presented with new information and concepts through lectures.
•       Practicals will address key areas of the curriculum and develop specific skills in data handling and processing within the context of current software and tools
•       Lecture and practicals will demonstrate and utilise a range of software tools and libraries
•       Practicals in the Linux environment will develop Linux shell skills.
•       Assessment preparation will allow students to apply and practise their knowledge and skills to new problems

Assessment Methods

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

Description Length Semester When Set Percentage Comment
Written Examination1201A60N/A
Other Assessment
Description Semester When Set Percentage Comment
Report1M20Processing Raster data and imagery (5hrs effort).
Report2M20Project (5hrs effort)
Zero Weighted Pass/Fail Assessments
Description When Set Comment
ReportMScripting in Python (5hrs effort).
Assessment Rationale And Relationship

The assessment will:
• demonstrate understanding of key spatial data structures through the access and manipulation of these data types and formats
• assess the application of scripting within current software and tools
• will require the mastery of a number of tools, libraries and environments for data manipulation and processing

Reading Lists