Code | Faculty | Department |
---|---|---|
10243027 | Faculty of Health Sciences | Department: Physiology |
Credits | Duration | NQF level |
---|---|---|
Minimum duration of study: 1 year | Total credits: 120 | NQF level: 08 |
Dr AE Kasonga [email protected] | +27 (0)123192433 |
The following requirements are set for completing the programme:
? Advanced instruction by means of self-tuition, scheduled lectures and compulsory assignments on topics assigned to the student.
? Taking part in an independent research project where the student is expected to submit a research
report, as well as present an oral on the research project.
? Attendance of regular research meetings where students will present their project progress.
? Completion of a written seminar and oral presentation on the seminar.
? Attendance of journal club and presentation of a research article for at least one journal club session.
? Completion of practical laboratory techniques as used in the particular subsections of the subject, as well as submission of written practical reports.
? Attendance at the compulsory faculty module (TNM 700) Applied research methodology 700.
? Successful completion of the prescribed module (MBS 700) Medical biostatistics 700.
? Satisfactory attendance at a library-user course.
The prerequisites for admission to the honours degree in certain fields of study are indicated in the syllabuses of the specific department.
Also consult current General Academic Regulations.
The degree is conferred with distinction on a student who has obtained an average of at least 75% in the examination of the core module, MFG 777 (written, oral presentation, practical, etc.).
Minimum credits: 120
Module content:
The role of statistics and the data analysis process, collecting data sensibly, graphical methods for describing data, numerical methods for describing data, summarizing bivariate data, probability, random variables and probability distributions, sampling variability and sampling distributions, estimation using a single sample, hypothesis testing using a single sample, comparing two populations or treatments, the analysis of categorical data and goodness-of-fit tests, simple linear regression and correlation: inferential methods, multiple regression analysis, analysis of variance, nonparametric (distribution-free) statistical methods. This course is designed as a statistics building block for a non-statistics major postgraduate student at master's level.
Module content:
Basic physiology knowledge, and specialised projects in Departmental research focus areas. This module includes 30 research credits.
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