Code | Faculty | Department |
---|---|---|
10243003 | Faculty of Health Sciences | Department: Radiation Oncology |
Credits | Duration | NQF level |
---|---|---|
Minimum duration of study: 1 year | Total credits: 170 | NQF level: 08 |
The following requirements are set for completing the programme:
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.
Modules to be taken in the Department of Physics, Faculty of Natural and Agricultural Sciences:
Modules to be taken in the School of Medicine:
The degree is conferred with distinction on a student who has obtained an average of at least 75% (not rounded) in the examination (written, oral, practical, etc).
University of Pretoria Programme Qualification Mix (PQM) verification project
The higher education sector has undergone an extensive alignment to the Higher Education Qualification Sub-Framework (HEQF) across all institutions in South Africa. In order to comply with the HEQSF, all institutions are legally required to participate in a national initiative led by regulatory bodies such as the Department of Higher Education and Training (DHET), the Council on Higher Education (CHE), and the South African Qualifications Authority (SAQA). The University of Pretoria is presently engaged in an ongoing effort to align its qualifications and programmes with the HEQSF criteria. Current and prospective students should take note that changes to UP qualification and programme names, may occur as a result of the HEQSF initiative. Students are advised to contact their faculties if they have any questions.
Minimum credits: 170
Module content:
Series; complex analysis; Bessel and other special functions; integral transforms; Green functions
Module content:
Advanced problems in classical dynamics; Hamilton formalism; canonical transformations; continuum mechanics
Module content:
Measurement process, General indefinite relations, Harmonic ossilator, symmetry, invariants and conservation laws, angular momentum, spin, perturbation theory, Schrödinger-Heisenberg and interaction pictures
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.
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