Course Title: Process and interpret data

Part B: Course Detail

Teaching Period: Term1 2013

Course Code: MATH5333C

Course Title: Process and interpret data

School: 155T Vocational Health and Sciences

Campus: City Campus

Program: C5283 - Diploma of Laboratory Technology (Pathology Testing)

Course Contact: Dinah van Ruyven

Course Contact Phone: +61 3 9925 4287

Course Contact Email: dinah.vanruyven@rmit.edu.au


Name and Contact Details of All Other Relevant Staff

Namrita Kaul

51.4.01

99254309

namrita.kaul@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

There are no pre-requistes  or co-requisites for this course

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:

MSL924001A 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 enterprise procedures
1.3. Rectify errors in data using enterprise 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 in tables, charts and graphs

Performance Criteria:

3.1. Present data in clearly labelled tables and charts
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 in tables, charts and graphs

Performance Criteria:

4.1. Interpret significant features of graphs, such as 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 enterprise procedures
5.3. File and store workplace records in accordance with enterprise procedures
5.4. File all reference documents logically and keep them up-to-date and secured
5.5. Observe enterprise confidentiality standards
 


Learning Outcomes



Details of Learning Activities

  • Lectures
  • Tutorials
  • Work sheets
  • Online learning


Teaching Schedule

wk. no. Date EoC Topic
1 11/2 Calculate scientific quantities

• Metrology andSI Units, Scientific Notations
• Significant figures

2 18/2  

• Substitution into Formulae and calculations

3 25/2 1.Retrieve and check data • 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 4/3 2. Calculate scientific quantities

• Calculating basic statistics for the given data
• Indices, Index laws
• Perform calculations using indices

5 18/3  

•Linear Equations

6 25/3   • Variation
• Direct, inverse and joint variation
7 8/4   Mid sem exams
8 22/4  1. Retrieve and check data • Ratio and Proportion
9 29/4  2. Calculate scientific quantities •Concentrations and dilutions
10 6/5   •Percentages and Calculations with percentages
10 13/5 3 and 4. Present data in tables , charts and graphs, Interpret data in tables, charts and graphs

• Graphs
• Represent and interpret data in graphical form

11 20/5  4. Interpret data in tables, charts and graphs • Logarithims
12 27/5   • More on graphs and logs
17 3/6  

• End of Semester Exams

  Element 5 to be covered throughout the other elements.

Assessment No Topics Due on
Assignment 1

Sci Notation, Sig Figs, Measurement & Conversion

4th March, Online
Assignment 2 Basic Stats, Linear Equation 25th  March, Online
MId Sem Exam   8th April
Assignment 3 Dilutions & Concentrations 20th May, Online
End Sem Exam   3rd June


Learning Resources

Prescribed Texts

TBA in class


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

Assessments for this course typically consist of:
• Class activities
• Assignments
• Presentations
• Exam


Assessment Tasks

  • Work sheets
  • Mid semester exam
  • End of semester exam


Assessment Matrix

Other Information

Important information regarding the assessment policy:

To pass the course you need to pass, on average, each type of assessment (tests, reports, assignments)
For example, if there are two tests you need to have an average of 50% to pass. But you also need to have passed the other assessments as well. You can’t make up marks from one type of assessment to another (eg pass the tests but fail the prac reports).
Additional assessment may be provided at the discretion of the Program Coordinator if your average test mark is above 45% and you have passed all other assessments.

Late work that is submitted without an application for an extension will not be corrected
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 (available on the web http://mams.rmit.edu.au/seca86tti4g4z.pdf ) at least the day before the due date. The application is lodged with the School Admin Office on Level 6, Bdg 51. Students requiring longer extensions must apply for Special Consideration (form available on the Web). For missed assessments such as exams- you (& your doctor if you are sick) must fill out a special consideration form. This form must be lodged at the HUB or online with supporting evidence (eg medical certificate), prior to, or within, 48 hours of the scheduled time of examination

Course Overview: Access Course Overview