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PX3017: RESEARCH AND COMPUTING SKILLS IN PHYSICS (2019-2020)

Last modified: 28 Aug 2019 09:08


Course Overview

This course introduces mathematical and computational methods. One half is an introduction to programming starting at basics such as variables, loops and conditional statements. This course part is taught in Python, with an emphasis on modern programming concepts and data analysis skills. The other half, taught concurrently, consists of advanced mathematical methods using examples from Physics; for example multivariable calculus and Maxwell's equations, or ODE and partial differential equations in classical and quantum mechanics. There will be a one week career strategies module at the end of the course.

Course Details

Study Type Undergraduate Level 3
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Daniel Vogel
  • Dr Murilo da Silva Baptista

Qualification Prerequisites

  • Either Programme Level 3 or Programme Level 4

What courses & programmes must have been taken before this course?

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

  • PX3011 Research Skills in Physics (Studied)
  • PX3015 Research and Computing Skills (Studied)

Are there a limited number of places available?

No

Course Description

 This course will introduce computing skills including programming and numerical analysis methods and key mathematical skills commensurate with those required by other honours courses such as Electricity and Magnetism. The course is divided into two halves. In the first half, students will develop programming and numerical analysis skills. Using Python, they will first learn the basics of programming, including loops, conditions and functions. Using this basis, they will then apply numerical algorithms to solve differential equations, eigenvalue problems and integration, and learn how to analyse and visualise data. An individual programming project concludes this part. In the second half students will revise and develop key mathematical skills including their ability to cope with vector calculus, differential and integral equations and linear algebra. Topics such as Stokes’s, Green’s and Gauss’s theorems will be explored and applications discussed.


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Summative Assessments

Computer Programme Assessments

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Formative Assessment

Tutorial Questions and Mid-term Exam

Assessment Type Formative Weighting 50
Assessment Weeks Feedback Weeks

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Feedback

Formally provided in writing on written (summative) assessments.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Resit Assessments

Re-submission of missed assessments

Assessment Type Summative Weighting
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

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