Course Title: Analyse data and report results

Part B: Course Detail

Teaching Period: Term2 2019

Course Code: MATH7089C

Course Title: Analyse data and report results

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

Campus: City Campus

Program: C4397 - Certificate IV in Laboratory Techniques

Course Contact: Amber Mitton

Course Contact Phone: +61 3 9925 5083

Course Contact Email: amber.mitton@rmit.edu.au

Name and Contact Details of All Other Relevant Staff

Nominal Hours: 80

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

MSL924003 Process and interpret data

Course Description

This unit of competency describes the skills and knowledge to perform scientific calculations, analyse trends and uncertainty in data and report results within the required timeframe. This unit of competency applies to technical officers and laboratory technicians working in all industry sectors.

National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:	MSL925004 Analyse data and report results
Element:	1. Perform scientific calculations
Performance Criteria:	1.1 Ensure raw data are consistent with expectations and reasonable ranges 1.2 Calculate scientific quantities involving algebraic, power, exponential and/or logarithmic functions 1.3 Ensure calculated quantities are consistent with estimations 1.4 Present results using the appropriate units, uncertainties and number of significant figures
Element:	2. Analyse trends and relationships in data
Performance Criteria:	2.1 Determine linear and non-linear relationships between sets of data 2.2 Prepare and analyse control charts to determine if a process is in control 2.3 Identify possible causes for out-of-control condition 2.4 Follow workplace procedures to return process to in-control operation
Element:	3. Determine variation and/or uncertainty in data distributions
Performance Criteria:	3.1 Organise raw data into appropriate frequency distributions 3.2 Calculate means, medians, modes, ranges and standard deviations for ungrouped and grouped data 3.3 Interpret frequency distributions to determine the characteristics of the sample or population 3.4 Calculate standard deviations and confidence limits for means and replicates 3.5 Estimate the uncertainty in measurements using statistical analysis 3.6 Determine data acceptability using statistical tests and workplace procedures
Element:	4. Check for aberrant results
Performance Criteria:	4.1 Identify results that cannot be reconciled with sample, sample documentation, testing procedures and/or expected outcomes 4.2 Determine appropriate actions in consultation with supervisor
Element:	5. Report results
Performance Criteria:	5.1 Use charts, tables and graphs to present results in the required format 5.2 Verify that entry of data and results are correct 5.3 Prepare reports and records in a format and style consistent with their intended use and workplace guidelines 5.4 Communicate results within the specified time and in accordance with workplace confidentiality and security guidelines

Learning Outcomes

Details of Learning Activities

The course will be delivered using:

1. Theory classes
2. Online learning activities using Canvas
3. Computer Based tutorials using Minitab Software

Teaching Schedule

Week No	Week Starting	Topic	Assessments
1	8 July	Perform scientific calculations Calculation of uncertainties Calculating scientific quantities Significant figures Scientific notation
2	15 July	Equations involving pH, [H+], [OH-], Ka, pKa, Kb, pKb, Kw, Ks and pKs buffer calculations
3	22 July	Determine linear, logarithmic, exponential and power relationships Radioactivity (half-life, dose, activity and exposure)	Quiz 1 to be completed during class time
4	29 July	Introduction to Statistics Basic statistics Descriptive Statistics Using Minitab to compute descriptive statistics	Assignment/Report handed/available on Canvas
5	5 Aug	Continue with previous week	Quiz 2 to be completed during class time
6	12 Aug	Construction of frequency distribution tables Construction of Histograms, frequency plots, stem and leaf plots, boxplots and scatter plots Constructing and interpreting graphs
7	19 Aug	Correlation and regression Use Minitab to create scatter plots and find out correlation between data sets Regression lines and interpretation of correlation coefficients	Quiz 3 to be completed during class time
8	26 Aug	Mid semester assessments	Assignment/Report due
	2 Sep	Mid semester break
9	9 Sep	Probability and Normal probability plots Normal Distribution z scores calculations
10	16 Sep	t-test, f-test and ANOVA
11	23 Sep	Continue with previous week	Quiz 4 to be completed during class time
12	30 Sep	Pareto diagrams, Shewhart control charts and CuSum Control charts
13	7 Oct	Complex Control Charts
14	14 Oct	Continue with previous week
15	21 Oct	Online Minitab assessment
16	28 Oct	End of Semester Assessments

Learning Resources

Prescribed Texts

Course Notes/Handouts will be provided during the semester and will be available on Canvas

References

In addition to the course notes, links to resources will be provided in the Canvas

Other Resources

Overview of Assessment

Assessment may include quizzes, folio of completed tasks & observation of skills

Assessment Tasks

The assessments will be conducted as follows:

1. A total of 4 online quizzes/worksheet to be conducted using Canvas, in the class room during class time(details in Canvas)

2. An assignment(report) to be completed during the given time frame(details in Canvas) and to be submitted on Canvas

3. Minitab Assessment to be conducted during class time in the class room(details in Canvas)

4. Knowledge Assessment Task(End of semester Assessment) to be conducted during class time in the class room.

 

Assessment Matrix

Other 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 all assessments. Students may be given additional opportunities to demonstrate competence. 

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 (amber.mitton @rmit.edu.au). Students requiring longer extensions must apply for SPECIAL CONSIDERATION.

• For missed assessments such as tests- 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.

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