# Course Title: Process and interpret data

## Part B: Course Detail

Teaching Period: Term1 2014

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
• Work sheets
• Online learning

Teaching Schedule

 10/2 Metrology and SI Units, Scientific Notations Significant figures 17/2 Substitution into Formulae and calculations 24/2 • 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 3/3 • Calculating basic statistics for the given data • Indices, Index laws • Perform calculations using indices 10/3 Linear Equations 17/3 • Variation • Direct, inverse and joint variation 24/3 Revision Week 31/3 Mid Sem Exams 7/4 Ratio and Proportion 14/4 Concentrations and dilutions 21/4 Percentages and Calculations with percentages 28/4 Graphs Represent and interpret data in graphical form 5/5 Continue with data presentation and graphs 12/5 Logarithms 19/5 Continue with logs 26/5 Revision 2/6 End Semester Exams

Element 5 to be covered throughout the other elements.

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

• Work sheets/Online activities
• Mid semester exam
• End of semester exam

Assessment Matrix

Assessment NoTopics                 Due on       Weighting
Assignment 1

Sci Notation,
Sig Figs, Measurement & Conversion

24th Feb 10%
Assignment 2 Basic Stats, Linear Equation 10th March 10%
MId Sem Exam   exam week 30%
Assignment 3 Dilutions & Concentrations 12th May 10%
End Sem Exam   exam week 40%

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