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: C5362 - Diploma of Laboratory Technology (Pathology Testing)

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

Assessment Tasks

Assessment:

Set of 2 online quizzes
(20% of Total Assessment)

In class assessment
a. Maintain Simulated Data Entry Object
b. Perform calculations within the simulated laboratory
c. Report, check and maintain records
(10% of Total Assessment)

Mid semester and End semester Exams
(70% of Total Assessment)

 

To be competent, the student needs to achieve a satisfactory result in each of the three tasks.

 

 

 

Process & Interpret Data (MATH7074C)

MSL924001

Details about Assessments

Semester 1, 2018

 

Task 1

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

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

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 (70 – 79%)
CC Competent with Credit (60 – 69%)
CAG Competency Achieved (50 – 59%)
NYC Not Yet Competent- graded (0 – 49%)
DNS Did Not Submit for assessment

• To pass the course you need to pass, on average, each type of assessment (exams, pracs, and assignments etc.) For example, if there are two exams you need to have an average of 50% to pass and you also need to have passed the other assessment types. You can’t make up marks from one type of assessment to another (e.g. pass the exams but fail the prac component).

• Late work that is submitted without an application for an extension (see below) 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 form should be emailed to Program Coordinator (nmarita.kaul@rmit.edu.au). Students requiring longer extensions must apply for SPECIAL CONSIDERATION.

• 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 prior to, or within, 48 hours of the scheduled time of examination http://www1.rmit.edu.au/students/specialconsideration

  Plagiarism is the presentation of the work, idea or creation of another person as though it is your own. It is a form of cheating and is a very serious academic offence that may lead to expulsion from the University. Plagiarised material can be drawn from, and presented in, written, graphic and visual form, including electronic data and oral presentation. Plagiarism occurs when the origin of the material used is not appropriately cited. It also occurs through enabling plagiarism, which is the act of assisting or allowing another person to plagiarise or to copy your own work. Please make sure you consider this carefully in completing all your work and assessments in this course and if you are unsure about whether you might have plagiarised, seek help from your teacher.

Course Overview: Access Course Overview