Offered to students admitted to Year 1 in  ALL 

Major/Minor  ALL 
Course Type  
Offer in 2018  2019  Y N 
Course Code  PHYS4150 
Date  2019/07/23 19:16 
Enquiry for Course Details 
PHYS4150 Computational physics (6 credits)  Academic Year  2018  

Offering Department  Physics  Quota    
Course Coordinator  Prof J Wang, Physics < jianwang@hku.hk >  
Teachers Involved  (Prof J Wang,Physics)  
Course Objectives  The aim of the course is show how the power of computers enables to computational approach to solving physics problems to be adopted, which is distinct from, and complimentary to, traditional experimental and theoretical approaches. The material covered will be found useful in any project or problem solving work that contains a strong computational or data analysis element. The course is designed such that a significant fraction of the student's time is spent actually programming specific physical problems rather than learning abstract techniques.  
Course Contents & Topics  The course will cover the following problems: Introductory computational physics and computer algebra, integration and differentiation, interpolation and extrapolation, ordinary differential equation such as those of classical mechanics, partial differential equations (such as the Maxwell's equation, the diffusion equation, and the Schrodinger equation), matrix methods (such as systems of equations and eigenvalue problems applied to Poisson's equation and electronic structure calculations), Monte Carlo (Metropolis algorithm) and other simulation methods (such as molecular dynamics), and several physics projects.  
Course Learning Outcomes 
On successful completion of this course, students should be able to:


Prerequisites (and Corequisites and Impermissible combinations) 
Pass in (MATH3301 or MATH3401 or MATH3403 or MATH3405 or PHYS3150); and Pass in any three of the following courses: PHYS3350, PHYS3351, PHYS3450, PHYS3550 

Course Status with Related Major/Minor /Professional Core 
2018 Major in Physics
(
Disciplinary Elective
)
2018 Minor in Physics ( Disciplinary Elective ) 2017 Major in Astronomy ( Disciplinary Elective ) 2017 Major in Mathematics/Physics ( Disciplinary Elective ) 2017 Major in Physics ( Disciplinary Elective ) 2017 Minor in Physics ( Disciplinary Elective ) 2016 Major in Astronomy ( Disciplinary Elective ) 2016 Major in Mathematics/Physics ( Disciplinary Elective ) 2016 Major in Physics ( Disciplinary Elective ) 2016 Minor in Physics ( Disciplinary Elective ) 2015 Major in Astronomy ( Disciplinary Elective ) 2015 Major in Mathematics/Physics ( Disciplinary Elective ) 2015 Major in Physics ( Disciplinary Elective ) 2015 Minor in Physics ( Disciplinary Elective ) 2014 Major in Astronomy ( Disciplinary Elective ) 2014 Major in Mathematics/Physics ( Disciplinary Elective ) 2014 Major in Physics ( Disciplinary Elective ) 2014 Minor in Physics ( Disciplinary Elective ) 

Course to PLO Mapping 
2018 Major in Physics < PLO 1,2,3,4 >
2017 Major in Astronomy < PLO 1,2,3,4 > 2017 Major in Mathematics/Physics < PLO 1,2,3,4 > 2017 Major in Physics < PLO 1,2,3,4 > 2016 Major in Astronomy < PLO 1,2,3,4 > 2016 Major in Mathematics/Physics < PLO 1,2,3,4 > 2016 Major in Physics < PLO 1,2,3,4 > 2015 Major in Astronomy < PLO 1,2,3,4 > 2015 Major in Mathematics/Physics < PLO 1,2,3,4 > 2015 Major in Physics < PLO 1,2,3,4 > 2014 Major in Astronomy < PLO 1,2,3,4 > 2014 Major in Mathematics/Physics < PLO 1,2,3,4 > 2014 Major in Physics < PLO 1,2,3,4 > 

Offer in 2018  2019  Y 1st sem  Examination  Dec  
Offer in 2019  2020  Y  
Course Grade  A+ to F  
Grade Descriptors 


Course Type  Lecture with laboratory component course  
Course Teaching & Learning Activities 


Assessment Methods and Weighting 


Required/recommended reading and online materials 
Lecture notes provided by Course Coordinator Samuel S.M. Wong: Computational Methods in Physics and Engineering (World Scientific) N.J. Giordano and N. Nakanishi: Computational physics (Pearson Education Inc.). 

Course Website  NIL  
Additional Course Information  NIL 
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