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CS2019: DATABASES AND DATA MANAGEMENT (2022-2023)

Last modified: 31 Jul 2023 11:19


Course Overview

Databases are an important part of traditional information systems (offline /online) as well as modern data science pipelines. This course will be of interest to anyone who wishes to learn to design and query databases using major database technologies. The course aims to teach the material using case studies from real-world applications, both in lectures and lab classes.

In addition, the course covers topics including management of different kinds of data such as spatial data and data warehousing. The course provides more hands-on training that develops skills useful in practice.

Course Details

Study Type Undergraduate Level 2
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Yaji Sripada
  • Dr Nigel A Beacham

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

  • Any Undergraduate Programme
  • Programme Level 2

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

Course Description

This course consists of two halves. The first half is an introduction to data management: it aims at providing students with both an in-width and an in-depth understanding of disciplined approaches to data management. This will mainly help students learn foundational concepts such as data models, query languages and database design, and learn to apply them to solve practical problems.

 

The second half depends on the first. It is designed for students with an interest in the application of Data Management in a broad range of professions and areas including IT, Geosciences, Natural Sciences, Engineering, Life Sciences and Medicine, Education, Management, Accounting, Finance, and Social Sciences. The course offers skills training in, and knowledge of, database design and querying, data warehousing and spatial databases.


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

Report: Group

Assessment Type Summative Weighting 40
Assessment Weeks Feedback Weeks

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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 30
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
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Class Test - Multiple Choice Questions

Assessment Type Summative Weighting 5
Assessment Weeks Feedback Weeks

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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

Class Test - Multiple Choice Questions

Assessment Type Summative Weighting 20
Assessment Weeks Feedback Weeks

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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

Class Test - Multiple Choice Questions

Assessment Type Summative Weighting 5
Assessment Weeks Feedback Weeks

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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.

Resit Assessments

Resubmission of failed elements (pass marks carried forward)

Assessment Type Summative Weighting 100
Assessment Weeks Feedback Weeks

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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

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ReflectionCreateAble to analyse and describe some aspect of the real world in terms of a conceptual model.
ProceduralApplyAble to perform basic data administration tasks.
ProceduralApplyKnowledge and skill in data warehousing.
ReflectionCreateThe outcome of the course is, by its nature, widely applicable. In its broadest terms, students will learn to apply a rigorous approach to design methodology.
ProceduralApplyKnowledge and skill in management of different kinds of data such as spatial data.
ConceptualUnderstandThe basic organisation and functionality of a variety of types of database system.
ReflectionCreateAble to design and use queries in a query language.

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