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GL5708: SERVICE AND PROJECT MANAGEMENT FOR PETROLEUM DATA MANAGERS (2022-2023)

Last modified: 31 Jul 2023 11:19


Course Overview

This course covers basic areas of service operations management and project management applied to the context of managing petroleum data. It examines service design, service quality and improvement processes, capacity management in service operations, and service projects. It also covers the main areas of project management (scope, quality, cost, time, and risk) and standard planning techniques with particular emphasis on the importance of quality, scope and risk within data management projects.

Course Details

Study Type Postgraduate Level 5
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr John Lamb

What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme (Studied)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

This course covers basic areas of service operations management and project management applied to the particular context of managing petroleum data. It examines service design, service quality and improvement processes, capacity management in service operations, and service projects. It also covers the main areas of project management: scope, quality, cost, time, and risk. It introduces students to standard project planning techniques with particular emphasis on the importance of quality, scope and risk within data management projects. It also covers risk more broadly by exploring risk and resilience within petroleum data management.


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

Class Test

Assessment Type Summative Weighting 20
Assessment Weeks 27 Feedback Weeks 28

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Feedback

The results of the online test are available immediately, and additional formative feedback will be provided in the following week.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Reflective Report

Assessment Type Summative Weighting 25
Assessment Weeks 30 Feedback Weeks 31

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Feedback
Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Report: Individual

Assessment Type Summative Weighting 25
Assessment Weeks 29 Feedback Weeks 30

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Feedback
Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Design Project: Group

Assessment Type Summative Weighting 30
Assessment Weeks 29 Feedback Weeks 30

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Feedback
Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ReflectionEvaluateEvaluate risk in managing data projects and in managing data and know how to reduce risk and recover rapidly from failures
ConceptualApplyDefine the scope of a project and explain project life cycles
ReflectionApplyUnderstand and apply techniques of project management, especially to sensitive data management
ReflectionEvaluateAppraise the quality and resource requirements for projects and the trade-offs between meeting quality, cost and time objectives
ProceduralUnderstandExplain the characteristics of service operations in general and those of data management in particular
ProceduralUnderstandUnderstand and apply techniques of quality management and improvement to petroleum data management service operations

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