Course Title: Process and interpret data
Part B: Course Detail
Teaching Period: Term1 2014
Course Code: MATH5333C
Course Title: Process and interpret data
School: 155T Vocational Health and Sciences
Campus: City Campus
Program: C5282 - Diploma of Laboratory Technology (Biotechnology)
Course Contact: Amberlee Mitton
Course Contact Phone: +61 3 9925 8053
Course Contact Email: amber.mitton@rmit.edu.au
Name and Contact Details of All Other Relevant Staff
Namrita Kaul
51.4.01
99254309
namrita.kaul@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
There are no pre-requistes or co-requisites for this course
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: |
MSL924001A 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 |
Element: |
2. Calculate scientific quantities |
Performance Criteria: |
2.1. Calculate statistical values for given data |
Element: |
3. Present data in tables, charts and graphs |
Performance Criteria: |
3.1. Present data in clearly labelled tables and charts |
Element: |
4. Interpret data in tables, charts and graphs |
Performance Criteria: |
4.1. Interpret significant features of graphs, such as gradients, intercepts, maximum and minimum values, and limit lines |
Element: |
5. Keep accurate records and maintain confidentiality |
Performance Criteria: |
5.1. Transcribe information accurately |
Learning Outcomes
Details of Learning Activities
- Lectures
- Work sheets
- Online learning
Teaching Schedule
10/2 |
|
17/2 |
|
24/2 |
• 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 |
3/3 |
• Calculating basic statistics for the given data • Indices, Index laws • Perform calculations using indices |
10/3 |
|
17/3 |
• Variation • Direct, inverse and joint variation |
24/3 |
|
31/3 |
|
7/4 |
|
14/4 |
|
21/4 |
|
28/4 |
|
5/5 |
|
12/5 |
|
19/5 |
|
26/5 |
|
2/6 |
|
Element 5 to be covered throughout the other elements.
Learning Resources
Prescribed Texts
Online resources will be provided during the semester |
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
Assessments for this course typically consist of:
• Class activities
• Assignments
• Presentations
• Exam
Assessment Tasks
- Work sheets/Online activities
- Mid semester exam
- End of semester exam
Assessment Matrix
Assignment 1 | Sci Notation, |
24th Feb | 10% |
Assignment 2 | Basic Stats, Linear Equation | 10th March | 10% |
MId Sem Exam | exam week | 30% | |
Assignment 3 | Dilutions & Concentrations | 12th May | 10% |
End Sem Exam | exam week | 40% |
Other Information
Important information regarding the assessment policy:
To pass the course you need to pass, on average, each type of assessment (tests, reports, assignments)
For example, if there are two tests you need to have an average of 50% to pass. But you also need to have passed the other assessments as well. You can’t make up marks from one type of assessment to another (eg pass the tests but fail the prac reports).
Additional assessment may be provided at the discretion of the Program Coordinator if your average test mark is above 45% and you have passed all other assessments.
Late work that is submitted without an application for an extension will not be corrected
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 on the web http://mams.rmit.edu.au/seca86tti4g4z.pdf ) at least the day before the due date. The application is lodged with the School Admin Office on Level 6, Bdg 51. Students requiring longer extensions must apply for Special Consideration (form available on the Web). 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 at the HUB or online with supporting evidence (eg medical certificate), prior to, or within, 48 hours of the scheduled time of examination
Course Overview: Access Course Overview