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Academic Handbook BSc (Hons) Digital and Technology Solutions

Database Design and Management I Course Descriptor

Course Title Database Design and Management I Faculty EDGE Innovation Unit (London)
Course code NCHNAP447 Course Leader Professor Scott Wildman (interim)
Credit points 15 Teaching Period This course will typically be delivered over a 6-week period.
FHEQ level 4 Date approved June 2020
Compulsory/
Optional 
Compulsory
Prerequisites None

Course Summary

This course covers the underlying principles and concepts behind relational databases. Learners will use the reporting language SQL to interrogate relational databases and design simple databases. SQL will be used for creating and accessing data tables, indexing, arithmetic operations, loops, arrays, multiple table processing, I/P operations, data-type conversions, and views. Learners will have the opportunity to apply their knowledge of relational databases using industry-standard cloud-based technology e.g. using ServiceNow training.

Course Aims

  • Train learners in the core concepts and techniques for manipulating relational databases.
  • Give learners the tools to code native SQL.
  • Give learners the opportunity to create various functions in SQL.
  • Give learners the opportunity to work on simulated work-based problems and use learned knowledge to solve these problems.

Learning Outcomes

On successful completion of the course, learners will be able to:

Knowledge and Understanding

K1a Understand the basic principles of relational databases: their structure, use and how to interrogate them.
K2a Have knowledge and understanding of basic SQL syntax and query structure.
K3a Have knowledge of the regulations, ethical and security considerations required in modern data storage.

Subject Specific Skills

S1a Code structurally correct SQL commands.
S2a Design and implement basic relational databases.
S3a Perform basic data manipulation and information retrieval operations using SQL.

Transferable and Professional Skills

T1ai Demonstrate skill in numeracy and computation.
T1aii Display a developing technical proficiency in written English and an ability to communicate clearly and accurately in structured and coherent pieces of writing.
T2a Understand logical arguments, identifying the assumptions made and the conclusions drawn.
T3a Demonstrate the ability to analyse, evaluate and correctly interpret data.

Teaching and Learning

This is an e-learning course, taught throughout the year.

This course can be offered as a standalone short course.

Teaching and learning strategies for this course will include: 

  • On-line learning
  • On-line discussion groups
  • On-line assessment

Course information and supplementary materials will be available on the University’s Virtual Learning Environment (VLE).

Learners are required to attend and participate in all the formal and timetabled sessions for this course. Learners are also expected to manage their self-directed learning and independent study in support of the course.

The course learning and teaching hours will be structured as follows:

  • Off-the-job learning and teaching (6 days x 7 hours) = 42 hours
  • On-the-job learning (12 days x 7 hours) = 84 hours (e.g. 2 days per week for 6 weeks)
  • Private study (4 hours per week) = 24 hours

Total = 150 hours

Workplace assignments (see below) will be completed as part of on-the-job learning.

Assessment

Formative

Learners will be formatively assessed during the course by means of set assignments. These will not count towards the final degree but will provide learners with developmental feedback. 

Summative

Assessment will be in two forms:

AE   Assessment Type Weighting Online submission Duration Length
1 Set computational exercises 60% Yes Requiring on average 20-30 hours to complete N/A
2 Report following workplace practical exercise  40% Yes Requiring on average 10-20 hours to complete 2,000 words +/- 10%, excluding data tables

Feedback

Learners will receive formal feedback in a variety of ways: written (via email or VLE correspondence) and indirectly through online discussion groups. Learners will also attend a formal meeting with their Academic Mentor (and for apprentices, including their Line Manager). These bi- or tri-partite reviews will monitor and evaluate the learner’s progress.

Feedback is provided on summatively assessed assignments and through generic internal examiners’ reports, both of which are posted on the VLE.

Indicative Reading

Note: Comprehensive and current reading lists for courses are produced annually in the Course Syllabus or other documentation provided to learners; the indicative reading list provided below is used as part of the approval/modification process only.

Books 

  • Casteel, J., (2015), Oracle 12C: SQL, Course Technology
  • Date, C. J., (2019), Database design and relational theory, Apress
  • Silberschatz, A. and Korth, H.F., (2019), Database System Concepts, MacGraw-Hill

Journals

Learners are encouraged to read material from relevant journals on Database Design and SQL as directed by their course trainer.

Electronic Resources

Learners are encouraged to seek out websites that support Database Design and SQL.

Indicative Topics

  • Database design
  • SQL
  • Data Structures

Version History

Title: NCHNAP447 Database Design and Management I

Approved by: Academic Board

Location: Academic Handbook/BSc (Hons) Digital & Technology Solutions 

Version number Date approved Date published  Owner Proposed next review date Modification (As per AQF4) & category number
3.0 October 2022 January 2023 Scott Wildman June 2025 Category 1: Corrections/clarifications to documents which do not change approved content or learning outcomes

Category 3: Changes to Learning Outcomes

2.1 May 2022 May 2022 Scott Wildman June 2025 Category 1: Corrections/clarifications to documents which do not change approved content.
2.0 January 2022 April 2022 Scott Wildman June 2025 Category 3: Changes to Learning Outcomes
1.0 June 2020 June 2020 Scott Wildman June 2025
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