Assessor Resource

ICASAD501A
Model data objects

Assessment tool

Version 1.0
Issue Date: April 2024


This unit applies to systems designers who are required to prepare data models.

This unit describes the performance outcomes, skills and knowledge required to understand business operations, identify entities and data, diagrammatically represent their relationships and prepare a data model.

You may want to include more information here about the target group and the purpose of the assessments (eg formative, summative, recognition)

Prerequisites

Not applicable.

Employability Skills

This unit contains employability skills.



Evidence Required

List the assessment methods to be used and the context and resources required for assessment. Copy and paste the relevant sections from the evidence guide below and then re-write these in plain English.

The evidence guide provides advice on assessment and must be read in conjunction with the performance criteria, required skills and knowledge, range statement and the Assessment Guidelines for the Training Package.

Overview of assessment

Critical aspects for assessment and evidence required to demonstrate competency in this unit

Evidence of the ability to:

model valid data objects

normalise the model

validate the model.

Context of and specific resources for assessment

Assessment must ensure access to:

appropriate learning and assessment support when required

modified equipment for people with special needs

client business requirements

database software

computer-aided software engineering tools or other suitable software.

Method of assessment

A range of assessment methods should be used to assess practical skills and knowledge. The following examples are appropriate for this unit:

observation of candidate’s use of computer-aided software engineering (CASE) tool or other appropriate software

verbal or written questioning to assess candidate’s knowledge of:

data modelling techniques

normalisation

entity relationship diagrams

review of completed data model and associated documentation prepared by candidate.

Guidance information for assessment

Holistic assessment with other units relevant to the industry sector, workplace and job role is recommended, where appropriate.

Assessment processes and techniques must be culturally appropriate, and suitable to the communication skill level, language, literacy and numeracy capacity of the candidate and the work being performed.

Indigenous people and other people from a non-English speaking background may need additional support.

In cases where practical assessment is used it should be combined with targeted questioning to assess required knowledge.

Submission Requirements

List each assessment task's title, type (eg project, observation/demonstration, essay, assingnment, checklist) and due date here

Assessment task 1: [title]      Due date:

(add new lines for each of the assessment tasks)

Assessment Tasks

Copy and paste from the following data to produce each assessment task. Write these in plain English and spell out how, when and where the task is to be carried out, under what conditions, and what resources are needed. Include guidelines about how well the candidate has to perform a task for it to be judged satisfactory.

Required skills

analytical skills to analyse business data

communication skills to liaise with clients

problem-solving skills to solve problems that arise with the entity relationships

technical skills to:

develop entity-relationship models in tables

relate identifier selection to business domain

relate user specifications to data model

transfer customer requirements into data model.

Required knowledge

detailed knowledge of:

database identifiers and their impact on database usability

normalisation rules and processes

type hierarchies, including sub-types, super-types, root-types related to development of structured data types

validation procedures and processes

function and features of:

an approach to data modelling, such as the entity-relationship model

keys, e.g. unique keys, composite keys, primary keys and primary index

time stamps related to the use of keys

user-defined types, structured types, reference types and user-defined functions

particular business or domain.

The range statement relates to the unit of competency as a whole. It allows for different work environments and situations that may affect performance. Bold italicised wording, if used in the performance criteria, is detailed below. Essential operating conditions that may be present with training and assessment (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) may also be included.

System may include:

application service provider

applications

databases

gateways

internet service provider (ISP)

operating systems

servers.

Entities may include:

concept

object

person.

Data types may include:

character large object (CLOB), double-byte character large object (DBCLOB)

character string

date-time and binary string

double-byte (or graphic) character string

large object (LOB), binary large object (BLOB)

numeric

structured types and reference types

user-defined type (UDT).

Relationships may include:

many-to-many

many-to-one

one-to-many

one-to-one.

Copy and paste from the following performance criteria to create an observation checklist for each task. When you have finished writing your assessment tool every one of these must have been addressed, preferably several times in a variety of contexts. To ensure this occurs download the assessment matrix for the unit; enter each assessment task as a column header and place check marks against each performance criteria that task addresses.

Observation Checklist

Tasks to be observed according to workplace/college/TAFE policy and procedures, relevant legislation and Codes of Practice Yes No Comments/feedback
Analyse business data to understand operations 
Identify boundaries of the system 
Identify entities, attributes, data types and relationships of data 
Review business rules to determine impact 
Document relationships in an entity relationship diagram 
Identify suitable business data 
Undertake normalisation of business data and document results 
Compare normalisation results with entity relationship diagram 
Reconcile differences between data 
Validate data model with client 
Resolve issues or recommendations 
Document completed data model 
Submit to client for final approval 

Forms

Assessment Cover Sheet

ICASAD501A - Model data objects
Assessment task 1: [title]

Student name:

Student ID:

I declare that the assessment tasks submitted for this unit are my own work.

Student signature:

Result: Competent Not yet competent

Feedback to student

 

 

 

 

 

 

 

 

Assessor name:

Signature:

Date:

Assessment Record Sheet

ICASAD501A - Model data objects

Student name:

Student ID:

Assessment task 1: [title] Result: Competent Not yet competent

(add lines for each task)

Feedback to student:

 

 

 

 

 

 

 

 

Overall assessment result: Competent Not yet competent

Assessor name:

Signature:

Date:

Student signature:

Date: