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Main
UQU Programs
Actuarial Science and Financial Mathematics

Computing Financial mathematics

MTHF2702
4 hours English

Computing Financial mathematics

Computing Financial Mathematics
MTH2601 elementary of Statistics and Probability
4 hours No requisites
1 Review of different money value concepts
2 Specific data handling, types and structures
3 Flow Control structures and functions
4 Program design and implementation, program comprehension and / modification, program testing and documentation
5 Numerical methods in finance. Monte Carlo Simulation. Derivative Pricing
6 Basic Theory of finance. Modern portfolio theory and CAPM
7 Risk-Neutral Asset Pricing, Risk and Uncertainty
8 Application of real-world financial data analysis
1.1 Mapped to: K2

Demonstrating expertise in analyzing financial data using computer programming, such as Python, for effective financial computations.

Teaching Strategy Lectures Discovery and oral questions Cooperative Learning
Assessment Methods Assignments Quiz Midterm Final Exam
1.2 Mapped to: K3

Developed quantitative and computational skills for the proficient fulfilment of tasks in the financial sector using mathematical concepts and theories in an algorithmic format.

Teaching Strategy Lectures Discovery and oral questions Cooperative Learning
Assessment Methods Assignments Quiz Midterm Final Exam
2.1 Mapped to: S1

Identify different techniques in financial data analysis to forecast future yields and returns, and assess investment risks using Python programming.

Teaching Strategy Lectures Tutorials Cooperative Learning
Assessment Methods Assignment Quiz Midterm Final Exam Report
2.2 Mapped to: S2

Formulate financial mathematics models for manipulating real life problems.

Teaching Strategy Lectures Tutorials Cooperative Learning
Assessment Methods Assignment Quiz Midterm Final Exam Report
2.3 Mapped to: S3

Effectively communicate, justify, and defend your work in the field of financial mathematics computational techniques both orally and writing reports about the findings.

Teaching Strategy Lectures Tutorials Cooperative Learning
Assessment Methods Assignment Quiz Midterm Final Exam Report
3.1 Mapped to: V1

Collaborate effectively both independently and in teams on actuarial science-related issues, while demonstrating a commitment to lifelong learning.

Assessment Methods Assignment Oral Presentation Survey
3.2 Mapped to: V2

Maintain confidentiality, comply with internal processes and professional standards, and effectively manage conflicts of interest within actuarial disciplines.

Assessment Methods Assignment Oral Presentation Survey
Assessment
Weight
Homework’s, Quizzes, Mini projects
20%
Midterm Exam
20%
Lab Exam
20%
Final Exam
40%
Total
100%