PHARMACY MATHEMATICS
MAT1PHM
2015
Credit points: 15
Subject outline
In Pharmacy Mathematics you are introduced to fundamental mathematical and statistical techniques that are required for pharmacy studies and research. In the first component, you will apply methods of differential and integral calculus to model phenomena in pharmacokinetics, chemical kinetics, epidemiology and demography. The second (larger) component you will study statistical methods and their applications in health, pharmaceutical and biological contexts. The topics include random variables, distributions and probability and statistical inference for means and proportions. Use is made of Microsoft Excel for data analysis.
School: School Engineering&Mathematical Sciences
Credit points: 15
Subject Co-ordinator: Robert Champion
Available to Study Abroad Students: Yes
Subject year level: Year Level 1 - UG
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: Available for students enrolled in the Bachelor of Pharmacy course (SVPB or SBPM or SHPM or SBPB or SHPB).
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Special conditions: N/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | The practice of statistics in the life sciences | Prescribed | Baldi, B and Moore, D.S. 2012 | 2ND ED., NEW YORK: W.H. FREEMAN AND CO. |
| Readings | Applied biopharmacuetics & Pharmacokinetics | Recommended | Shaegel, L, Wu-Pong, S, and Yu, ABC 2005 | MCGRAW-HILL, NEW YORK. |
| Readings | Basic statistics and pharmaceutical statistical applications | Recommended | De Muth, JE 2006 | 2ND EDN, CHAPMAN & HALL/CRC, BOCA RATON. |
| Readings | Pharmaceutical statistics | Recommended | Jones, D 2002 | PHARMACEUTICAL PRESS, PADSTOW. |
| Readings | Pharmaceutical statistics : practical and clinical applications | Recommended | Bolton, S and Bon, C 2004 | 4TH EDN, DEKKER, NEW YORK |
Graduate capabilities & intended learning outcomes
01. Apply the appropriate rules to differentiate and integrate simple functions.
- Activities:
- Students are required to differentiate and integrate functions in problems in test 1 and the exam.
02. Use methods of differential and integral calculus to solve introductory modelling problems in pharmacokinetics, chemical kinetics, epidemiology and demography.
- Activities:
- Students are required to solve calculus based modelling problems in test 1 and the exam.
03. Apply appropriate methods to solve introductory problems in probability, distributions and sampling applied in pharmaceutical industry, pharmacy practice, health and biological contexts.
- Activities:
- Students are required to solve probability, distributions and sampling problems in test 2 and the exam.
04. Apply appropriate methods to solve introductory problems in statistical inference applied in health, pharmaceutical and biological contexts.
- Activities:
- Students are required to solve statistical inference problems in test 2 and the exam.
05. Interpret Excel generated solutions to statistical inference problems and write explanations of the solutions.
- Activities:
- Students are required interpret Excel solutions to inference problems in test 2 and the exam.
06. Demonstrate effective written communication skills by presenting mathematical ideas and solutions to problems in a clear and logical fashion, supported by appropriate explanations and correct use of notation.
- Activities:
- Students are required to demonstrate effective communication skills in all three tests and the exam. Marks are specifically allocated to written communication in the tests, while in the exam communication is one of the factors taken into account in awarding marks.
07. Demonstrate expertise in explaining mathematical and statistical concepts.
- Activities:
- Students are required to demonstrate effective writing skills in answering questions that specifically ask for explanation of mathematical and statistical concepts in both tests and the exam.
Bendigo, 2015, Semester 2, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Robert Champion
Class requirements
LectureWeek: 31 - 43
Three 1.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
TutorialWeek: 31 - 43
One 1.0 hours tutorial per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
"On specific dates during the semester some tutorials will be run in a computer lab."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Three short tests during the semester | 30 | 01, 02, 03, 04, 05, 06, 07 | |
| one 3-hour examination | 70 | 01, 02, 03, 04, 05, 06, 07 |