# Course Title: Process and interpret data

## Part B: Course Detail

Teaching Period: Term1 2016

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

 Date (week starting) Week Teaching Schedule Assessments 8th Feb 1 •       Metrology and SI Units, Scientific Notations •       Significant figures Quiz 1                 Quiz 2                 Exam 1           Task 2                     Task 2             Task 2         Exam 2 15th Feb 2 •       Calculating basic statistics for the given data and  Levey Jennings chart 22nd  Feb 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 29th Feb 4 ·         Continue with previous week 7th Mar 5 • Indices, Index laws • Perform calculations using indices 14th Mar 6 ·         Concentrations and dilutions ·         Percentages and Calculations with percentages` 21st  Mar 7 ·         Ratio and Proportion ·         Variation ·          Direct, inverse and joint variation 28th Mar 7 ·         Easter Break 4th Apr 8 ·         Exam week 11th Apr 9 ·         Graphs ·         Represent and interpret data in graphical form 18th Apr 10 ·         Continue with data presentation and graphs 25th Apr 11 ·         Substitution into Formulae and calculations ·         Errors in measurements ·         Linear Equations 2nd  May 12 ·         Continue with previous week 9th May 13 ·         Logarithms 16th May 14 ·         Continue with logs 23rd May 15 ·         Revision Week 30th May 16 End Semester 1 - Exam 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

 Task 1 (20% of Total Assessment) Date to be released/due and Venue Quiz 1 7th  March, Class Room Quiz 2 21st March, Class Room

 Task 2 (20% of Total Assessment) Expected Dates 1.Maintain Simulated Data Entry Object 18th April 2.Perform calculations within the simulated laboratory 2nd May 3.Report , check and maintain records 16th May Exam 1 (30%) week of 4th April Exam 2 (30%) week of 30th May

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 (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