Course Title: Process and interpret data
Part B: Course Detail
Teaching Period: Term1 2015
Course Code: MATH5333C
Course Title: Process and interpret data
School: 155T Vocational Health and Sciences
Campus: City Campus
Program: C5283 - Diploma of Laboratory Technology (Pathology Testing)
Course Contact: Dinah van Ruyven
Course Contact Phone: +61 3 9925 4287
Course Contact Email: dinah.vanruyven@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
- Worksheets
- Online learning activities
Teaching Schedule
Week No | Topic |
1 | • Metrology and SI Units, Scientific Notations • Significant figures |
2 | • Substitution into Formulae and calculations • Errors in measurements • Linear Equations |
3 | • 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 |
4 | • Calculating basic statistics for the given data |
5 | • Indices, Index laws • Perform calculations using indices |
6 | • Continue with previous week(s) |
7 | Mid sem Exam week |
8 | • Concentrations and dilutions • Percentages and Calculations with percentages |
9 | Easter Break |
9 | • Graphs |
10 | • Continue with data presentation and graphs |
11 | • Ratio and Proportion |
12 | • Variation:Direct, inverse and joint variation |
13 | • Logarithms |
14 | • Continue with logs |
15 | • Revision Week |
16 | Exam Week |
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
- Maintain data in a simulated online object
- Mid semester exam
- End of semester exam
Assessment Matrix
Online Quiz 1 | Metrology and SI Units, Scientific Notations, Significant figures, Measurement conversions and micro-measurements | 2nd March Classroom | 10% |
Online Quiz 2 | Variations and logs | 18th May Classroom | 10% |
MId Sem Exam | exam week | 30% | |
Maintaining Simulated Lab Data Entry | Ongoing | Ongoing | 20% |
End Sem Exam | exam week | 30% |
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 (60 – 79%)
CC- Competent with Credit (50 – 59%)
CAG- Competency Achieved – Graded (0 – 49%)
NYC- Not Yet Competent
DNS- Did Not Submit for assessment
Assessment information
- All assessment types must be passed (exams, quizzes and assignments etc.). For example, if there are two tests you need to have an average of 50% to pass. You can’t make up marks from one type of assessment to another (e.g. pass the tests but fail the assignment component).
- Late work that is submitted without an application for an extension 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 is lodged with the School Admin Office on Level 6, Bdg 51, or emailed to the Coordinator (amber.mitton@rmit.edu.au).
- Students requiring extensions longer than 7 days must apply for Special Consideration (see the ‘Help me’ link in blackboard, via myRMIT studies or http://www1.rmit.edu.au/students/specialconsideration) 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 (e.g. medical certificate), prior to, or within, 48 hours of the scheduled time of examination.
- If you miss an assessment task due to unavoidable circumstances, you need to follow the procedure of special consideration and apply within the allowed time frame.
Course Overview: Access Course Overview