# Course Title: Process and interpret data

## Part B: Course Detail

Teaching Period: Term1 2018

Course Code: MATH7074C

Course Title: Process and interpret data

School: 174T School of VE Engineering, Health & Science

Campus: City Campus

Program: C5363 - Diploma of Laboratory Technology (Biotechnology)

Course Contact: Namrita Kaul

Course Contact Phone: +61 3 9925 4837

Course Contact Email: namrita.kaul@rmit.edu.au

Name and Contact Details of All Other Relevant Staff

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

None

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: MSL924001 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 workplace procedures 1.3 Rectify errors in data using workplace 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 Performance Criteria: 3.1 Present data in clearly labelled tables, charts and graphs 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 Performance Criteria: 4.1 Interpret significant features of tables, charts and graphs, including 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 workplace procedures 5.3 File and store workplace records in accordance with workplace procedures 5.4 File all reference documents logically and keep them up-to-date and secured 5.5 Observe workplace confidentiality standards

Learning Outcomes

Details of Learning Activities

• Lectures
• Worksheets
• Online learning activities

Teaching Schedule

2018 teaching schedule for Process & Interpret Data

MSL924001

 Week starting Topic 5th Feb Metrology & SI units Scientific Notations Significant figures 12th Feb Calculating basic statistics for given data and  Levey Jennings chart 19th Feb 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 26th Feb Continue with previous week 5th Mar Indices, Index laws Perform calculations using indices 12th Mar Concentrations and dilutions Percentages and Calculations with percentages 19th Mar Continue with previous week 26th Mar Ratio and Proportion Variation Direct, inverse and joint variation 2nd Apr Mid Sem break 9th Apr Mid Sem Exam Week 16th Apr Graphs Represent and interpret data in graphical form 23rd Apr Substitution into Formulae and calculations Errors in measurements Linear Equations 30th Apr Continue with previous week 7th May Logarithms 14th May Continue with Logs 21st May Revision 28th May Final exam

Learning Resources

Prescribed Texts

References

 The course resources will be provided, however you can use following books as 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

online quizzes

simulated data activities

written tests

Process & Interpret Data (MATH7074C)

MSL924001

Semester 1, 2018

 Task 1(20% of Total Assessment) Indicative Date to be released/due and Venue Topic/Based on Quiz 1 26th Feb, Class Room during class time Metrology and SI Units, Scientific Notations, Significant figures, Measurement conversions and micro-measurements Quiz 2 19th Mar, Class Room during class time Basic Statistics and Index Laws

To be satisfactory in Task 1, you are required to successfully complete both quizzes.

Task 2(This task to be completed using the simulated data entry object, more details will be provided during the classes)

 Task 2 (10% of Total Assessment) Expected Dates Comments 1.Maintain Simulated Data Entry Object 16th April (use data collected from Chem Lab for micropipettes  ) 2.Perform calculations within the simulated laboratory 7th May 3.Report , check and maintain records 21st May

To be satisfactory in Task 2, you are required to successfully participate and complete the tasks associated with Simulated Data Entry Object.

 Task 3(35% + 35%) Mid Semester and End Semester Exams as per scheduled dates

To be satisfactory in Task 3, you are required to achieve 50% or more in both (combined) components of Task 3.

(Dates indicated in the table may differ as the above dates indicate the week starting)

Assessment Matrix

Other Information

Assessment information

This course is graded in accordance with competency-based assessment, but which also utilise graded assessment
CHD Competent with High Distinction (80 – 100%)
CDI Competent with Distinction (70 – 79%)
CC Competent with Credit (60 – 69%)
CAG Competency Achieved – Graded (50 – 59%)
NYC Not Yet Competent (0 – 49%)
DNS Did Not Submit for assessment

• 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. he application form should be emailed to the Program Coordinator (namrita.kaul@rmit.edu.au) Students requiring longer extensions must apply for SPECIAL CONSIDERATION.
• 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