Course Title: Process and interpret data

Part B: Course Detail

Teaching Period: Term1 2020

Course Code: MATH7088C

Course Title: Process and interpret data

School: 174T School of VE Engineering, Health & Science

Campus: City Campus

Program: C4397 - Certificate IV in Laboratory Techniques

Course Contact: Kirsten Balding

Course Contact Phone: +61 3 9925 4283

Course Contact Email:

Name and Contact Details of All Other Relevant Staff

Nominal Hours: 70

Regardless of the mode of delivery, represent a guide to the relative teaching time and student effort required to successfully achieve a particular competency/module. This may include not only scheduled classes or workplace visits but also the amount of effort required to undertake, evaluate and complete all assessment requirements, including any non-classroom activities.

Pre-requisites and Co-requisites


Course Description

This unit of competency describes the skills and knowledge to retrieve data, evaluate formulae and perform scientific calculations, present and interpret information in tables and graphs and keep accurate records. The unit requires personnel to solve problems of limited complexity where the information may be less obvious, but not contradictory, and can be determined by direct reasoning.
This unit of competency applies to laboratory assistants, field/laboratory technicians and instrument operators in all industry sectors

National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

MSL924003 Process and interpret data


1. Retrieve and check data

Performance Criteria:

1.1 Store and retrieve data using appropriate files and/or application software 1.2 Verify the quality of data using workplace procedures 1.3 Rectify errors in data using workplace procedures


2. Calculate scientific quantities

Performance Criteria:

2.1 Calculate statistical values for given data 2.2 Calculate scientific quantities using given formulae and data and estimate uncertainties 2.3 Ensure calculated quantities are consistent with estimations and expectations 2.4 Report all calculated quantities using the appropriate units and correct number of significant figures


3. Present data

Performance Criteria:

3.1 Present data in clearly labelled tables, charts and graphs 3.2 Graph data using appropriate scales to span the range of data or display trends 3.3 Report all data using the appropriate units and number of significant figures


4. Interpret data

Performance Criteria:

4.1 Interpret significant features of tables, charts and graphs, including gradients, intercepts, maximum and minimum values, and limit lines 4.2 Recognise and report trends in data


5. Keep accurate records

Performance Criteria:

5.1 Transcribe information accurately 5.2 Verify the accuracy of records following workplace procedures

Learning Outcomes

Details of Learning Activities

  • Lectures
  • Worksheets
  • Online learning activities

Teaching Schedule

2020 teaching schedule for Process & Interpret Data



Week starting




10th Feb

Metrology & SI units

Scientific Notations

Significant figures



17th Feb

Calculating basic statistics for given data and  Levey Jennings chart



24th Feb

Measurement conversions and micro-measurements

Store the data provided in previous week in an appropriate format

Retrieve the data and perform basic calculations on it



2nd  Mar

Continue with previous week



9th Mar


 Indices, Index laws
Perform calculations using indices



16th Mar

Concentrations and dilutions

Percentages and Calculations with percentages



23rd  Mar

Continue with previous week



30th Mar

Ratio and Proportion


Direct, inverse and joint variation



6th Apr

Mid Sem break (9 Apr to 15 Apr mid sem break)



13th Apr

Class resume 16th April



20th Apr


Represent and interpret data in graphical form



27th Apr

Substitution into Formulae and calculations

Errors in measurements

Linear Equations



4th May

Continue with previous week



11th May




18th May

Continue with Logs



25th May




1st June

Final assessment


Learning Resources

Prescribed Texts


Other Resources

Overview of Assessment

Assessment may include quizzes, folio of completed tasks and observation of skills

Assessment Tasks

To pass the course you need achieve a satisfactory result for every assessment.
You will be given only two attempts for each assessment to demonstrate you have the required skills.

A third attempt can only be offered after discussions between the teacher and the Program Coordinator and is not automatic.

Task 1(week 4 and week 6)

Set of 2 online quizzes

Task 2 (week 6 to week 13)

In class assessment
a. Maintain Simulated Data Entry Object
b. Perform calculations within the simulated laboratory
c. Report, check and maintain records

Task 3 (week 8 and week 16)

Mid semester and End Semester Assessments

To be competent, the student needs to achieve a satisfactory result in each of the above three tasks.


Assessment Matrix

Other Information

Assessment information

This course is graded in accordance with competency-based assessment

CA Competency Achieved  
NYC Not Yet Competent
DNS Did Not Submit for assessment

To pass the course you need achieve a satisfactory result for every assessment.
You will be given only two attempts for each assessment to demonstrate you have the required skills.

A third attempt can only be offered after discussions between the teacher and the Program Coordinator and is not automatic.

Late work that is submitted without an application for an extension (see below) will not be corrected.

APPLICATION FOR EXTENSION OF TIME FOR SUBMISSION OF ASSESSABLE WORK - A student may apply for an extension of up to 7 days from the original due date. They must lodge the application form ( at least 24 hours before the due date. The application should be emailed to the program Coordinator (amber.mitton Students requiring longer extensions must apply for SPECIAL CONSIDERATION.

• For missed assessments you (& your doctor if you are sick) must fill out a special consideration form. This form must be lodged online with supporting evidence prior to, or within, 5 days of the scheduled time of the assessment

• Plagiarism is the presentation of the work, idea or creation of another person as though it is your own. It is a form of cheating and is a very serious academic offence that may lead to expulsion from the University. Plagiarised material can be drawn from, and presented in, written, graphic and visual form, including electronic data and oral presentation. Plagiarism occurs when the origin of the material used is not appropriately cited. It also occurs through enabling plagiarism, which is the act of assisting or allowing another person to plagiarise or to copy your own work. Please make sure you consider this carefully in completing all your work and assessments in this course and if you are unsure about whether you might have plagiarised, seek help from your teacher.


Course Overview: Access Course Overview