Course Title: Process and interpret data

Part B: Course Detail

Teaching Period: Term1 2011

Course Code: MATH5333C

Course Title: Process and interpret data

School: 155T Vocational Health and Sciences

Campus: City Campus

Program: C5282 - Diploma of Laboratory Technology (Biotechnology)

Course Contact: Amberlee 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

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:

   • Store and retrieve data using appropriate files and/or application software

• Verify the quality of data using enterprise procedures

• Rectify errors in data using enterprise procedures

Element:

2. Calculate scientific quantities

Performance Criteria:

    • Calculate statistical values for given data

• Ensure calculated quantities are consistent with estimations and expectations

• Report all calculated quantities using the appropriate units and correct number of significant figures

• Calculate scientific quantities and associated uncertainties using given formulae and data

Element:

3. Present data in tables, charts and graphs

Performance Criteria:

 • Present data in clearly labelled tables and charts

• Report all data using the appropriate units and number of significant figures

• Graph data using appropriate scales to span the range of data or display trends

Element:

4. Interpret data in tables, charts and graphs

Performance Criteria:

   • Interpret significant features of graphs, such as gradients, intercepts, maximum and minimum         values, and limit lines

• Recognise and report trends in data

Element:

5. Keep accurate records and maintain confidentiality

Performance Criteria:

 • Transcribe information accurately
• Observe enterprise confidentiality standards.
• File and store workplace records in accordance with enterprise procedures
• File all reference documents logically and keep them up-to-date and secured
• Verify the accuracy of records following enterprise procedures


Learning Outcomes



Details of Learning Activities

  • Lectures
  • Tutorials
  • Work sheets
  • Online learning


Teaching Schedule

wk. no. Date EoC Topic
1 7/2 Calculate scientific quantities • Scientific Notations
• Significant figures
2 14/2  

• Substitution into Formulae and calculations
3 21/2 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 28/2 Calculate scientific quantities • Calculating basic statistics for the given data
• Indices, Index laws
• Perform calculations using indices
5 7/3   • Linear Equations
6 14/3   • Variation
• Direct, inverse and joint variation
7 21/3   • Ratio and Proportion
8 28/3   • Revision
9 4/4   • Mid Sem Exam
10 11/4   • Concentrations and Dilutions
10 18/4   • Easter break 21st – 27th April
11 25/4   • Percentages and Calculations with percentages
12 2/5 Present data in tables , charts and graphs • Graphs
• Represent and interpret data in graphical form
13 9/5 Interpret data in tables, charts and graphs • Continue with graphs
14 16/5 Calculate scientific quantities • Logarithms
15 23/5 Retrieve and check data • Continue with logs
16 30/5   • Revision Week
17 6/6  

• End of Semester Exams


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

Course Overview: Access Course Overview