Module Database Search
| MODULE DESCRIPTOR | |||
|---|---|---|---|
| Module Title | |||
| Advanced Data Management | |||
| Reference | CMM524 | Version | 2 |
| Created | June 2022 | SCQF Level | SCQF 11 |
| Approved | August 2017 | SCQF Points | 15 |
| Amended | July 2022 | ECTS Points | 7.5 |
| Aims of Module | |||
|---|---|---|---|
| To introduce the key concepts and practical skills in database design and implementation. To explore the main features of a DBMS and key data management concepts and standards. To introduce key concepts in handling and managing large volumes of structured and unstructured data. | |||
| Learning Outcomes for Module | |
|---|---|
| On completion of this module, students are expected to be able to: | |
| 1 | Identify, handle and manipulate structured and unstructured data using modern databases. |
| 2 | Efficiently handle and manipulate large datasets. |
| 3 | Identify and implement appropriate data management techniques. |
| 4 | Apply analysis techniques to extract knowledge from data. |
| Indicative Module Content |
|---|
| Data Base Management System (DBMS), ER Modelling, Database creation and manipulation. Data Management Standards. Three V’s (volume, velocity, veracity). Parsing structured and unstructured data. NoSQL databases. Big Data Eco systems. |
| Module Delivery |
|---|
| Key concepts are introduced and illustrated through lectures and directed reading. Laboratory sessions provide a series of exercised designed to develop proficiency in techniques essentials to the development of applications. |
| Indicative Student Workload | Full Time | Part Time |
|---|---|---|
| Contact Hours | 30 | 30 |
| Non-Contact Hours | 120 | 120 |
| Placement/Work-Based Learning Experience [Notional] Hours | N/A | N/A |
| TOTAL | 150 | 150 |
| Actual Placement hours for professional, statutory or regulatory body |
| ASSESSMENT PLAN | |||||
|---|---|---|---|---|---|
| If a major/minor model is used and box is ticked, % weightings below are indicative only. | |||||
| Component 1 | |||||
| Type: | Coursework | Weighting: | 100% | Outcomes Assessed: | 1, 2, 3, 4 |
| Description: | Coursework worth 100% of total module assessment. | ||||
| MODULE PERFORMANCE DESCRIPTOR | |
|---|---|
| Explanatory Text | |
| The calculation of the overall grade for this module is based on 100% weighing of C1. An overall minimum grade D is required to pass the module. | |
| Module Grade | Minimum Requirements to achieve Module Grade: |
| A | The student needs to achieve an A in C1. |
| B | The student needs to achieve an B in C1. |
| C | The student needs to achieve an C in C1. |
| D | The student needs to achieve an D in C1. |
| E | The student needs to achieve an E in C1. |
| F | The student needs to achieve an F in C1. |
| NS | Non-submission of work by published deadline or non-attendance for examination |
| Module Requirements | |
|---|---|
| Prerequisites for Module | None. |
| Corequisites for module | None. |
| Precluded Modules | None. |
| INDICATIVE BIBLIOGRAPHY | |
|---|---|
| 1 | CONNOLLY,T and BEGG,C., 2015. Database Systems: A Practical Approach to Design, Implementation and Management. Pearsons. |
| 2 | VASIH, G.,2013 Getting started with NoSQL. Packt Publishing LTD, ISBN:978-1-84969-4-988 |
| 3 | ELMASRI, R and NAVATHE, S.,2011. Fundamentals of Database Systems. Addison Wesley. |
| 4 | Lars George, HBase: The Definite Guide , 2011 |