Code | Faculty | Department |
---|---|---|
10243004 | Faculty of Health Sciences | Department: Anatomy |
Credits | Duration | NQF level |
---|---|---|
Minimum duration of study: 1 jaar | Totale krediete: 120 | NQF level: 08 |
The following requirements are set for completing the programme:
1. Relevant bachelor’s (or equivalent) degree with at least one applicable biological subject as a major
2. A weighted average of at least 60% in the biological science subjects/modules at final-year level
The prerequisites for admission to the honours degree in certain fields of study are indicated in the syllabuses of the specific department.
Also consult General Academic Regulations G16-G29.
The degree is conferred with distinction on a student who has obtained at least 75% (not rounded) in the examination of the core module ANA 700 (written, oral, practical, etc.).
Minimum krediete: 124
Module-inhoud:
Introduction to osteology, bone function and classification, humerus, radius, ulna, femur, tibia, fibula, clavicle, scapula, ribs, sternum, vertebrae, pelvis, hand and foot bones, sesamoid bones, skull, mandible, joints.
Module-inhoud:
A complete synopsis of all anatomy modules at postgraduate level is published in the study guide for postgraduate anatomy courses, which is available on request from the Department of Anatomy.
This module includes 30 research credits.
Module-inhoud:
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.
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