Course Title: Process and interpret data
Part B: Course Detail
Teaching Period: Term1 2021
Course Code: MATH7088C
Course Title: Process and interpret data
School: 174T School of VE Engineering, Health & Science
Campus: City Campus
Program: C4397 - Certificate IV in Laboratory Techniques
Course Contact: Rauha Quazi
Course Contact Phone: +61 3 9925 4277
Course Contact Email: rauha.quazi@rmit.edu.au
Name and Contact Details of All Other Relevant Staff
Rauha Quazi
Rauha.Quazi@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
None
Course Description
This unit of competency describes the skills and knowledge 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.
This unit of competency applies to laboratory assistants, field/laboratory technicians and instrument operators in all industry sectors
National Codes, Titles, Elements and Performance Criteria
National Element Code & Title: |
MSL924003 Process and interpret data |
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Element: |
1. Retrieve and check data |
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Performance Criteria: |
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Element: |
2. Calculate scientific quantities |
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Performance Criteria: |
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Element: |
3. Present data |
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Performance Criteria: |
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Element: |
4. Interpret data |
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Performance Criteria: |
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Element: |
5. Keep accurate records |
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Performance Criteria: |
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Learning Outcomes
Details of Learning Activities
This course will be conducted as activities including;
- Lectures
- Worksheets
- Online learning activities
Learning resources will be provided on CANVAS.
Teaching Schedule
2021 Teaching schedule for Process & Interpret Data MSL924003
Week |
Week starting |
Topic |
Comments |
1 |
8th Feb |
Metrology & SI units Scientific Notations Significant figures |
|
2 |
15th Feb |
Calculating basic statistics for given data and Levey Jennings chart |
|
3 |
22nd 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 |
Quiz 1 |
4 |
1st Mar |
Continue with previous week |
|
5 |
8th Mar |
Indices, Index laws |
Labour Day Holiday |
6 |
15th Mar |
Concentrations and dilutions Percentages and Calculations with percentages |
Quiz 2 |
7 |
22nd Mar |
Continue with previous week |
|
8 |
29th Mar |
Ratio and Proportion Variation Direct, inverse and joint variation |
2nd Apr good friday |
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5th Apr |
Mid Sem break (1st Apr to 7th Apr mid sem break) |
Easter Monday, |
9 |
12th Apr |
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Mid Sem Assessment |
10 |
19th Apr |
Graphs Represent and interpret data in graphical form |
SimLab Assessment released |
11 |
26th Apr |
Substitution into Formulae and calculations Errors in measurements Linear Equations |
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12 |
3rd May |
Continue with previous week |
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13 |
10th May |
Logarithms |
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14 |
17th May |
Continue with Area & Perimeter of basic shapes, graphs WHS in workplace |
SimLab Assessment due |
15 |
24th May |
Revision |
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16 |
31st May |
Final Assessment |
End of Sem Assessment
Assessment Period |
17 |
7th June |
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Learning Resources
Prescribed Texts
References
Other Resources
Learning resources will be provided on Canvas(the learning portal)
Overview of Assessment
Assessment may include quizzes, folio of completed tasks and observation of skills
Assessment Tasks
To pass the course you need achieve a satisfactory result for every assessment.
You will be given only two attempts for each assessment to demonstrate you have the required skills.
A third attempt can only be offered after discussions between the teacher and the Program Coordinator and is not automatic.
Assessment Task 1(week 3 and week 6)
Set of 2 online quizzes
Assessment Task 2 (week 10 to week 14)
In class assessment
a. Maintain Simulated Data Entry Object
b. Perform calculations within the simulated laboratory
c. Report, check and maintain records
Assessment Task 3 (week 9 and week 16)
Mid semester and End Semester Assessments
To be competent, the student needs to achieve a satisfactory result in each of the above three tasks.
(Any change in these dates will be communicated with students via Canvas, within a reasonable timeframe)
Assessment Matrix
Other Information
Assessment information
This course is graded in accordance with competency-based assessment
CA Competency Achieved
NYC Not Yet Competent
DNS Did Not Submit for assessment
To pass the course you need achieve a satisfactory result for every assessment.
You will be given only two attempts for each assessment to demonstrate you have the required skills.
A third attempt can only be offered after discussions between the teacher and the Program Coordinator and is not automatic.
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 (http://www1.rmit.edu.au/students/assessment/extension) at least 24 hours before the due date. The application should be emailed to the Program Coordinator, Rauha Quazi rauha.quazi@rmit.edu.au . Students requiring longer extensions must apply for SPECIAL CONSIDERATION.
• For missed assessments 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, 5 days of the scheduled time of the assessment 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