Offered to students admitted to Year 1 in  ALL 

Major/Minor  ALL 
Course Type  
Offer in 2024  2025  Y N 
Course Code  PHYS2155 
Date  2024/11/12 17:49 
Enquiry for Course Details 
PHYS2155 Methods in physics II (6 credits)  Academic Year  2024  

Offering Department  Physics  Quota    
Course Coordinator  Prof Y J Tu, Physics < yanjuntu@hku.hk >  
Teachers Involved  (Prof Y J Tu,Physics)  
Course Objectives  This is one of the second level courses in our series of courses that introduces problem solving, mathematical and computational skill sets that are commonly used in the study of universitylevel physics. Instead of the cookbook approach, we focus on training students how to think and work as physicists through tackling simple physics problems by both analytical and numerical means. After completion, interested students may take the other second level courses in this series PHYS2150 and/or PHYS2160 or the third level course in this series PHYS3150.  
Course Contents & Topics  This course introduces the principles and theories of various mathematical methods and skills that are essential for studying university physics. Topics include: matrices and vector spaces, systems of linear algebraic equations and systems of linear differential equations, Line integrals, surface integrals and volume integrals, Fourier analysis, and further numerical computation techniques in physics. Applications to physical systems and various practical problems solving skills are discussed. Further MATLAB programming will be introduced and used in this course.  
Course Learning Outcomes 
On successful completion of this course, students should be able to:


Prerequisites (and Corequisites and Impermissible combinations) 
Pass in MATH1013 or MATH1821 or MATH1851 or PHYS1150  
Course Status with Related Major/Minor /Professional Core 
2024 Major in Physics
(
Disciplinary Elective
)
2024 Major in Physics (Intensive) ( Core/Compulsory ) 2024 Minor in Physics ( Disciplinary Elective ) 2023 Major in Physics ( Disciplinary Elective ) 2023 Major in Physics (Intensive) ( Core/Compulsory ) 2023 Minor in Physics ( Disciplinary Elective ) 2022 Major in Physics ( Disciplinary Elective ) 2022 Major in Physics (Intensive) ( Core/Compulsory ) 2022 Minor in Physics ( Disciplinary Elective ) 2021 Major in Physics ( Disciplinary Elective ) 2021 Major in Physics (Intensive) ( Core/Compulsory ) 2021 Minor in Physics ( Disciplinary Elective ) 2020 Major in Physics ( Disciplinary Elective ) 2020 Major in Physics (Intensive) ( Core/Compulsory ) 2020 Minor in Physics ( Disciplinary Elective ) 

Course to PLO Mapping 
2024 Major in Physics < PLO 1,2,3,4 >
2024 Major in Physics (Intensive) < PLO 1,2,3,4 > 2023 Major in Physics < PLO 1,2,3,4 > 2023 Major in Physics (Intensive) < PLO 1,2,3,4 > 2022 Major in Physics < PLO 1,2,3,4 > 2022 Major in Physics (Intensive) < PLO 1,2,3,4 > 2021 Major in Physics < PLO 1,2,3,4 > 2021 Major in Physics (Intensive) < PLO 1,2,3,4 > 2020 Major in Physics < PLO 1,2,3,4 > 2020 Major in Physics (Intensive) < PLO 1,2,3,4 > 

Offer in 2024  2025  Y 2nd sem  Examination  May  
Offer in 2025  2026  Y  
Course Grade  A+ to F  
Grade Descriptors 


Communicationintensive Course  N  
Course Type  Lecturebased course  
Course Teaching & Learning Activities 


Assessment Methods and Weighting 


Required/recommended reading and online materials 
Lecture notes provided by Course Coordinator Susan J. Colley: Vector Calculus (Pearson, 2011, 4th edition) Allen B. Downey: Physical Modeling in MATLAB (Green Tea Press, 2008) Stephen W. Goode and Scott A. Annin: Differential Equations and Linear Algebra (Pearson, 2015, 4th edition) Joel Hass, Maurice D. Weir, and George B. Thomas Jr.: University Calculus: Early Transcendentals (Pearson, 2016, 3rd edition) David Poole: Linear Algebra: A Modern Introduction (Cengage Learning, 2015, 4th edition) K. F. Riley, M. P. Hobson, and S. J. Bence: Mathematical Methods for Physics and Engineering: A Comprehensive Guide (Cambridge University Press, 2006, 3rd edition) Murray R. Spiegel: Schaum's Outline of Advanced Mathematics for Engineers and Scientists (McGrawHill Education, 2009) 

Course Website  http://moodle.hku.hk  
Additional Course Information  NIL 
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