COMP2022 Programming for Fintech Applications
Class time
1:30PM-4:20PM Friday
Classroom
Blackboard Collaborate
/PQ604B&C
Professor
Dr. Grace Guiling Wang
Email:
grace-guiling.wang@polyu.edu.hk
Office:
PQ 733
Office hour:
11:00am-12:00 PM on Monday
TA
Yiqian Chen
Email:
channing.chen@connect.polyu.hk
Office:
PQ504
Office hour:
11:00am-12:00PM on Wednesday
Course objectives
Introduce to students about common programming techniques
Equip students with skills to quickly develop small programs to process and analyze data
Allow students to practice with data processing and analysis for FinTech applications
Intended learning outcomes
Academic knowledge and skills
Understand the concept behind programming, independent of the programming language
Be able to develop small programs to process and analyze data
Be able to apply programming skills to address more realistic problems arising from FinTech applications
Attributes for all-roundness
work in a team to solve problems in FinTech to a larger scale
Grading policy
Group project
10%
Quiz
40%
Final exam
45%
Attendance and in-class participation/performance
5%
Total 100. Only if you get 50+, can you pass the class
Grading is based on the relative performance in the class
General rule: among those who pass 50, A+: 0/1/2; A <=15%; B+<=20%; B<=20%; C+<=20%; C<=20%; D+<=5%; D<=5%
The application of the rule is based on the professor’s discretion
No paper exam for both final and quiz. For all the tests, the format is real-time coding. Given one or multiple problems, in front of a computer, do coding to solve the problem(s) on the spot. Submit the code and running result. TA will rerun your code and check the results.
Preliminary plan on topics to be covered
Excel/VBA
R
Matlab
Python
Basic financial data analysis techniques