Course Title: Analyse data and report results
Part B: Course Detail
Teaching Period: Term2 2021
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: 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
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: |
|
||||||||||||
Element: |
2. Analyse trends and relationships in data |
||||||||||||
Performance Criteria: |
|
||||||||||||
Element: |
3. Determine variation and/or uncertainty in data distributions |
||||||||||||
Performance Criteria: |
|
||||||||||||
Element: |
4. Check for aberrant results |
||||||||||||
Performance Criteria: |
|
||||||||||||
Element: |
5. Report results |
||||||||||||
Performance Criteria: |
|
Learning Outcomes
Details of Learning Activities
The course will be delivered using:
- Theory online classes
- Online learning activities using Canvas
- Computer Based online tutorials using Minitab Software
Teaching Schedule
Teaching Schedule, MATH7089, Analyse Data & Report Results
Semester 2, 2021
Week No |
Week starting |
Topic |
1 |
12 July |
1. Perform scientific calculations 2. Calculation of uncertainties 3. Calculating scientific quantities 4. Significant figures 5. Scientific notation 6. Basic Statistics |
2 |
19 July |
Equations involving pH, [H+], [OH-], Ka, pKa, Kb, pKb, Kw, Ks and pKs buffer calculations |
3 |
26 July |
2. Radioactivity (half-life, dose, activity and exposure) |
4 |
2nd August |
1. Introduction to Statistics 2. Basic statistics 3. Descriptive Statistics 4. Using Minitab to compute descriptive statistics |
5 |
9th August |
Continue with previous week |
6 |
16th August |
1. Construction of frequency distribution tables 2. Construction of Histograms, frequency plots, stem and leaf plots, boxplots and scatter plots 3. Constructing and interpreting graphs |
7 |
23rd August |
Continue with previous week |
30th August |
Mid Sem break |
|
8 |
6th sept |
1. Correlation and regression 2. Use Minitab to create scatter plots and find out correlation between data sets 3. Regression lines and interpretation of correlation coefficients |
9 |
13th Sept |
1. Probability and Normal probability plots 2. Normal Distribution 3. z scores calculations |
10 |
20th Sept |
t-test and ANOVA |
11 |
27th Sept |
Continue with previous week and Chi sq test |
12 |
4th Oct |
Pareto diagrams, Shewhart control charts and CuSum Control charts |
13 |
11th Oct |
Complex Control Charts and Revision |
14 |
18th Oct |
Online Minitab assessment |
15 |
25th Oct |
Final Assessment |
16 |
1st Nov |
Assessment Period |
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://mams.rmit.edu.au/seca86tti4g4z.pdf (Links to an external site.) at least 24 hours before the due date. The application should be emailed to the program Coordinator (rauha.quazi@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 https://www.rmit.edu.au/students/student-essentials/assessment-and-results/special-consideration
• 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