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CS2018: INTRODUCTION TO DATA MANAGEMENT FOR DATA SCIENCE (2020-2021)

Last modified: 20 Oct 2020 16:20


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 Nigel A Beacham
  • Dr John Vargheese

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

  • Programme Level 2
  • Any Undergraduate Programme

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.


In light of Covid-19 this information is indicative and may be subject to change.

Contact Teaching Time

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

Teaching Breakdown

  • 1 Practical during University weeks 9 - 18

More Information about Week Numbers


In light of Covid-19 and the move to blended learning delivery the assessment information advertised for second half-session courses may be subject to change. All updates for second-half session courses will be actioned in advance of the second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

Class Test (25%)

2x Report (25% each)

Implement a database (25%)

Alternative Resit Arrangements for students taking course in Academic Year 2020/21

Where a student fails the course overall they will be afforded the opportunity to resit those parts of the course that they failed (pass marks will be carried forward).

 

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ReflectionCreateAble to analyse and describe some aspect of the real world in terms of a conceptual model.
ConceptualUnderstandThe basic organisation and functionality of a variety of types of database system.
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.
ReflectionCreateAble to design and use queries in a query language.
ProceduralApplyAble to perform basic data administration tasks.
ProceduralApplyKnowledge and skill in management of different kinds of data such as spatial data.
ProceduralApplyKnowledge and skill in data warehousing.

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