Course Title: Process and interpret data

Part B: Course Detail

Teaching Period: Term1 2023

Course Code: MATH7088C

Course Title: Process and interpret data

Important Information:

Please note that this course may have compulsory in-person attendance requirements for some teaching activities.  

To participate in any RMIT course in-person activities or assessment, you will need to comply with RMIT vaccination requirements which are applicable during the duration of the course. This RMIT requirement includes being vaccinated against COVID-19 or holding a valid medical exemption.  

Please read this RMIT Enrolment Procedure as it has important information regarding COVID vaccination and your study at RMIT: https://policies.rmit.edu.au/document/view.php?id=209.  

Please read the Student website for additional requirements of in-person attendance: https://www.rmit.edu.au/covid/coming-to-campus  

  

Please check your Canvas course shell closer to when the course starts to see if this course requires mandatory in-person attendance. The delivery method of the course might have to change quickly in response to changes in the local state/national directive regarding in-person course attendance.  

School: 535T Social Care and Health

Campus: City Campus

Program: C5388 - Diploma of Laboratory Technology

Course Contact: Rauha Quazi

Course Contact Phone: +61 3 9925 4277

Course Contact Email: rauha.quazi@rmit.edu.au


Name and Contact Details of All Other Relevant Staff

Namrita Kadalbajoo

namrita.kadalbajoo@rmit.edu.au 

David B Thomas

david.b.thomas@rmit.edu.au 

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

None

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.


National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

MSL924003 Process and interpret data

Element:

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

Element:

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

Element:

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

Element:

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

Element:

5. Keep accurate records

Performance Criteria:

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

Element:

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

Learning Outcomes



Details of Learning Activities

Students are expected to participate actively in all learning activities that include:
- discussion and application of mathematical concepts relevant to each topic by attempting class exercises
- discussion and application of the mathematical procedures by solving problems related to each topic
- working independently or in groups in solving problems on exercise and work sheets
- working in groups to solve more challenging problems requiring interpretation and evaluation of results


Teaching Schedule

The classes for this course run 3 hours a week during semester

 2023 Teaching and Assessment schedule for Process & Interpret Data MSL924003

 

Wk

No

Week starting

Topic

Comments

1

6th Feb
  • Metrology & SI units
  • Scientific Notations, Significant figures,
  • Rounding, Estimation,
  • Multiples and Submultiples

 

2

13th Feb
  • Calculating mean, median, mode, standard deviation
  • Levey Jennings chart

 

3

20th Feb
  • Indices, Accuracy, Precision, Sources of error, Uncertainty,
  • Transcribe and Present information as required
  

4

27th Feb

      Conduct Quiz 1 in class

Quiz 1

5

6th Mar
  • Measurement conversions and micro-measurements
  • Legal/WHS/WP Procedures
  • Store and retrieve data using appropriate files and/or application software
  • Verify the quality of data using workplace procedures
  • Rectify errors in data using workplace procedures

 

6

13th Mar

Percentage and absolute uncertainties in measurements and test results

  • Concentrations and dilutions
  • Concentration, such as molarity, g/100mL, mg/L, ppm, ppb, dilution mL/L

 

7

20th Mar

Conduct Quiz 2 in class and start

Dilutions Ratios including mass to mass, mass to volume and volume to volume

Direct, inverse and joint variation

Quiz 2

8

27 Mar

Continue with previous week

 SimLab Assessment released

9

3rd Apr

Mid Sem break

Mid Sem break 7th Apr to 14 Apr

9

10th Apr

Prepare and present data in following

  1. Tables
  2. Graphs
  3. Line graphs
  4. Histograms
  5. Pie charts, bar charts and control charts
  • Present data in clearly labelled tables, charts, and graphs
  • Graph data using appropriate scales to span the range of data or display trends
  • Recognise and report trends in data Graphs, Represent and interpret data in graphical form
  • Interpret significant features of tables, charts, and graphs, including gradients, intercepts, maximum and minimum values, and limit lines
  

10

17th Apr

Continue with previous week/Graphs

  

11

24th Apr

Mid sem assessment in the class

Mid sem assessment

12

1st May
  • Equations and Substitutions
  • Transposing and evaluating formulae

 

13

8th May

Continue with previous week

SimLab Assessment and Quiz due

14

15th May

Area, Perimeter, Volume of basic shapes

  • Areas(m2) and Volume (mL, L, m3) of regular shapes such as packaging
  • Perimeters and Angles

 

15

22nd May

Revision

 

16

29th May

 Final Assessment

End of Sem Assessment

Note: While all course content in this schedule will be covered, the weekly order may change depending on class needs  and resources.

Ϯ SYLLABUS subject to changing pending pandemic conditions and RMIT & government safety advise


Learning Resources

Prescribed Texts

(Learning Material Provided on Canvas)


References

Here are some useful resources to assist with your learning: https://www.rmit.edu.au/students/support-services/study-support/consultations (https://www.rmit.edu.au/students/support-services/study-support/consultations) Essential Laboratory Mathematics: Concepts and Applications for the Chemical and Clinical Laboratory Technician You are advised to look on Canvas for ongoing updated information.


Other Resources

The University Library has extensive resources and provides subject specialist expertise, research advice, help with
referencing and support through:
The Learning Lab
https://www.rmit.edu.au/students/support-services/study-support 
The Study Support Hub 
https://www.rmit.edu.au/students/support-services/study-support/consultations  


Overview of Assessment

Assessment may include

quizzes

folio of completed tasks 

observation of skills

reports


Assessment Tasks

To be assessed as Competent in this course, you will need to complete each assessment task to a satisfactory standard. You will receive feedback from the teacher within given time-frame (usually within two weeks of assessment submission) of each assessment task. You should refer to the assessment brief which is available through Canvas for full assessment criteria and due dates.

To successfully complete the course, you need to achieve a satisfactory result for every assessment.

• 2 Online Quizzes 
• Maintain Simulated Database and online quiz(Online) 
• Mid Sem assessment
• End Sem assessment 

You will be given two attempts for each assessment to demonstrate the required skills.

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

Results that apply to courses that are delivered and assessed in accordance with competency-based assessment are: 

CA: Competency Achieved 
NYC: Not Yet Competent
DNS: Did not Submit for Assessment


Assessment Matrix

The assessment matrix demonstrates alignment of assessment tasks with the relevant unit of competency. These
mapping documents are available through Program Administration if required

Other Information

Attendance:
Your learning experience will involve class-based teaching, discussion, demonstration and practical exercises.
It is strongly advised that you attend all timetabled sessions. This will allow you to engage in the required learning
activities, ensuring you the maximum opportunity to complete this course successfully
Information about your studies:
You can access My Studies through the RMIT website for information about timetables, important dates, assessment
dates, results and progress, Canvas etc.
https://www.rmit.edu.au/students


Extensions of time for submission of assessable work:
If you are prevented from submitting an assessment on time by circumstances outside your control you may apply for
an extension of up to seven (7) calendar days in writing (email) to your Program Coordinator one working day BEFORE
the due date. Eligibility criteria for application and the form is available from the link:

https://www.rmit.edu.au/students/my-course/assessment-results/special-consideration-extensions 

Where an extension of greater than seven days is needed, you must apply for special consideration.
Special consideration

For advice on this application please visit Special Consideration Website

https://www.rmit.edu.au/students/my-course/assessment-results/special-consideration-extensions/special-consideration 


If due to illness or other unforeseen circumstance, you are unable to attend on the due date of an assessment (e.g.
test, examination, oral, etc.), you may submit an application for special consideration within 5 working days of the due
date. If special consideration is granted, you will be given the opportunity to complete/repeat the assessment task at a
later date or speak to your Program Coordinator.


Academic Integrity and Plagiarism: 
RMIT University has a strict policy on plagiarism and academic integrity. Please refer to the website for more
information on this policy.
https://www.rmit.edu.au/students/student-essentials/assessment-and-exams/academic-integrity

Credit Transfer and Recognition of Prior Learning: 
Credit transfer is the recognition of previously completed formal learning (an officially accredited qualification).
Recognition of Prior Learning (RPL) is an assessment process that allows you to demonstrate competence using the
skills you have gained through experience in the workplace, voluntary work, informal or formal training or other life
experiences. 
Please speak to your teacher if you wish to discuss applying for Credit Transfer or RPL for the unit(s) of competency
addressed in this course.
https://www.rmit.edu.au/students/student-essentials/enrolment/apply-for-credit

Course Overview: Access Course Overview