Course Title: Process and interpret data

Part B: Course Detail

Teaching Period: Term1 2015

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:

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
  • Worksheets
  • Online learning activities


Teaching Schedule

 

 

Teaching and Assessment Schedule
Week NoTopic
1• Metrology and SI Units, Scientific Notations
• Significant figures
 
2• Substitution into Formulae and calculations
• Errors in measurements
• Linear Equations
 
3•  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• Calculating basic statistics for the given data
5•  Indices, Index laws
• Perform calculations using indices
6• Continue with previous week(s)
7

Mid sem Exam week 

8• Concentrations and dilutions
• Percentages and Calculations with percentages
9Easter Break
9

• Graphs
• Represent and interpret data in graphical form

10• Continue with data presentation and graphs
11• Ratio and Proportion
12

• Variation:Direct, inverse and joint variation

13• Logarithms
14• Continue with logs
15• Revision Week
16Exam Week


Learning Resources

Prescribed Texts

Online resources will be provided during the semester 


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/Online activities
  • Maintain data in a simulated online object
  • Mid semester exam
  • End of semester exam


Assessment Matrix

Assessment NoTopics                 Due on       Weighting
Online Quiz 1Metrology and SI Units, Scientific Notations, Significant figures, Measurement conversions and micro-measurements2nd March Classroom10%
Online Quiz 2Variations and logs18th May Classroom10%
MId Sem Exam exam week30%
Maintaining Simulated Lab Data EntryOngoingOngoing20%
End Sem Exam exam week30%

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 (60 – 79%)
CC- Competent with Credit (50 – 59%)
CAG- Competency Achieved – Graded (0 – 49%)
NYC- Not Yet Competent
DNS- Did Not Submit for assessment
 

Assessment information

  • All assessment types must be passed (exams, quizzes and assignments etc.). For example, if there are two tests you need to have an average of 50% to pass. You can’t make up marks from one type of assessment to another (e.g. pass the tests but fail the assignment component).
  • Late work that is submitted without an application for an extension 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 (available online http://www1.rmit.edu.au/students/assessment/extension) at least 24 hours before the due date. The application is lodged with the School Admin Office on Level 6, Bdg 51, or emailed to the Coordinator (amber.mitton@rmit.edu.au).
  • Students requiring extensions longer than 7 days must apply for Special Consideration (see the ‘Help me’ link in blackboard, via myRMIT studies or http://www1.rmit.edu.au/students/specialconsideration) 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 online with supporting evidence (e.g. medical certificate), prior to, or within, 48 hours of the scheduled time of examination.
  • If you miss an assessment task due to unavoidable circumstances, you need to follow the procedure of special consideration and apply within the allowed time frame.

Course Overview: Access Course Overview