Description
Introduction to computational methods in physics. Software platforms and programming languages. Data formats and structures, histograms, and data visualization. Probability distributions, fitting/parameter estimation, function minimization. Interpretation and treatment of uncertainties. Introduction to machine learning and classification.
Prerequisites
- Prerequisite(s): PHYS 1001 or PHYS 1003 or PHYS 1007 , and COMP 1005 .
Conditions and arrangements
- Prerequisite(s): PHYS 1001 or PHYS 1003 or PHYS 1007 , and COMP 1005 .
- Lectures three hours a week.
Reference text in its original language
Introduction to computational methods in physics. Software platforms and programming languages. Data formats and structures, histograms, and data visualization. Probability distributions, fitting/parameter estimation, function minimization. Interpretation and treatment of uncertainties. Introduction to machine learning and classification.
- Prerequisite(s): PHYS 1001 or PHYS 1003 or PHYS 1007 , and COMP 1005 .
- Lectures three hours a week.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/undergrad/courses/PHYS/