SemesterSpring Semester, 2025
DepartmentArtificial Intelligence, First Year Computer Science and Engineering, First Year
Course NameGraph Theory and Its Applications to Networks
InstructorKUO TUNG-WEI
Credit3.0
Course TypeElective
Prerequisite
Course Objective
Course Description
Course Schedule





















































































































Week

 



Topics


Content and Reading Assignment Teaching Activities and Homework

1



Introduction (I)



TBA



TBA



2



Introduction (II)



TBA



TBA



3



Graphical Degree Sequence (I)



TBA



TBA



4



Graphical Degree Sequence (II)



TBA



TBA



5



Maximum Cardinality Matching (I)



TBA



TBA



6



Maximum Cardinality Matching (II)



TBA



TBA



7



Mathematical Programming and Primal Dual Transformation



TBA



HW1



8



Midterm exam I



NA



NA



9



Maximum Weighted Matching (I)



TBA



TBA



10



Maximum Weighted Matching (II)



TBA



TBA



11



Stable Matching



TBA



TBA



12



Hamiltonian Cycle (I)



TBA



TBA



13



Hamiltonian Cycle (II)



TBA



TBA



14



University anniversary; Athletic contests (no class)



NA



NA



15



Euler Tour



TBA



HW2



16



Midterm exam II



NA



NA



17



Flexible Supplemental Instruction Week



TBA



TBA



18



Group Presentation



NA



NA




 



 


Teaching Methods
Teaching Assistant

TBA


Requirement/Grading

Midterm: 25%*2

Group presentation: 20%

Homework: 10%*2

Class Participation: 10%



 



 


Textbook & Reference

TBA


Urls about Course
Attachment