IM501 Agricultural Data and Information Management
DESCRIPTION
This unit focuses on data and information management in the context of agriculture. It considers the main steps involved in addressing organisational needs using commonly employed data management techniques. The unit covers data modelling, relational databases, SQL programming, data normalisation, entity relationship diagrams, data security, and data ethics. Students will have an opportunity to explore contemporary approaches to information and knowledge management in the context agriculture.
RELEVANT COURSES
Master of Agricultural Information Management*
Master of Business Administration (Agribusiness)
*Core unit
Elective unit
CREDIT POINTS
10
DELIVERY MODE
On campus
Mixed mode
Online
Intensive
Extensive
PREREQUISITE OR CO-REQUISITE
Nil
UNIT LEARNING OUTCOMES
LO1 Explain the key concepts underlying database management systems (DBMS) and their significance in agriculture
LO2 Critically evaluate contemporary data and information management techniques in terms of their application in agriculture
LO3 Collaboratively design and implement databases to address organisational needs in an agricultural setting
LO4 Apply database solutions and effectively communicate them to stakeholders
LO5 Critically evaluate and discuss DBMS with respect to data ethics and data security
CONTENT
Introduction to database systems
Data models
Relational database models
Relational algebra and its role in DBMS
Entity-relationship diagrams
Advanced data modelling
Normalisation of database tables
Introduction to SQL
Database design
Business intelligence and data warehouses
Data ethics and security
Advanced topics: Big data, smart farming 5.0
ASSESSMENT METHODS
1. Quizzes - 20%
2. Report - 40%
3. Group project and oral presentation - 50% (20% is allocated for individual reflection + presentation)
PRESCRIBED READINGS
Nil
Check with the lecturer each semester before purchasing any textbooks.