RMIT University

Course Title: Process and interpret data

Part B: Course Detail

Teaching Period: Term1 2017

Course Code: MATH7074C

Course Title: Process and interpret data

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

Campus: City Campus

Program: C5362 - Diploma of Laboratory Technology (Pathology Testing)

Course Contact: Amber Mitton

Course Contact Phone: +61 3 9925 8053

Course Contact Email: amber.mitton@rmit.edu.au


Name and Contact Details of All Other Relevant Staff

Iain McKenzie

iain.mckenzie@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 covers the ability 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:

MSL924001 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 and maintain confidentiality

Performance Criteria:

5.1 Transcribe information accurately 5.2 Verify the accuracy of records following workplace procedures 5.3 File and store workplace records in accordance with workplace procedures 5.4 File all reference documents logically and keep them up-to-date and secured 5.5 Observe workplace confidentiality standards


Learning Outcomes



Details of Learning Activities


Teaching Schedule

 

Week

Week starting

Topic

1

6th Feb

Metrology & SI units

Scientific Notations

Significant figures

2

13th Feb

Calculating basic statistics for given data and  Levey Jennings chart

3

20th 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

4

27th Feb

Continue with previous week

5

6th March

 Indices, Index laws
Perform calculations using indices

6

13th March

Concentrations and dilutions

Percentages and Calculations with percentages

7

20th March

Revision

8

27th March

Exam 1

9

3rd  April

Ratio and Proportion

Variation

Direct, inverse and joint variation

10

10th April

Graphs

Represent and interpret data in graphical form/ Easter Break

10

17th April

11

24th April

Substitution into Formulae and calculations

Errors in measurements

Linear Equations

12

1st May

Continue with previous week

13

8th May

Logarithms

14

15th May

Continue with logs

15

22nd  May

Revision

16

29th May

Final exam


Learning Resources

Prescribed Texts


References

Mathematics for Biology /Pathology technicians by Carly Marshall & Sue van Megen ; Essential laboratory Mathematics by catherine W. Johnson, Daniel L.Timmons & Pamela E. Hall


Other Resources


Overview of Assessment

online quizzes

simulated data activities

written tests


Assessment Tasks

Set of 2 online quizzes
(20% of Total Assessment)

In class assessment
a. Maintain Simulated Data Entry Object
b. Perform calculations within the simulated laboratory
c. Report , check and maintain records
(20% of Total Assessment)

Mid semester and End semester Exams
(60% of Total Assessment)

 


Assessment Matrix

Other Information

This course is graded in accordance with competency-based assessment, but which also utilises graded assessment
CHD- Competent with High Distinction (80 – 100%)
CDI- Competent with Distinction (70 – 79%)
CC- Competent with Credit (60 – 69%)
CAG- Competency Achieved – Graded (50 – 59%)
NYC- Not Yet Competent (0 – 49%)
DNS- Did Not Submit for assessment
 

Assessment information

Course Overview: Access Course Overview