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Main
UQU Programs
Actuarial Science and Financial Mathematics

Actuarial mathematics (2)

MTHF3802
3 hours English

Actuarial mathematics (2)

Actuarial Packages
MTH2604 Statistical Methods
3 hours One requisite
1 Introduction to different programming software, SPSS, Minitab, R, and Excel
2 Entering and analyzing data using different programming software
3 Visualizing techniques for the data using different software packages
4 Describe the data using statistical measures
5 Use presented software packages for analysis of variance to identify significant effects
6 Study the Statistical Hypothesis tests using presented software packages
7 Work with different probability distributions
8 Statistical inference using presented software packages, including fitting point estimations for model parameters using the method of moments and Maximum Likelihood, and simulation
9 Application of real-world financial and actuarial data analysis techniques
1.1 Mapped to: K2

Demonstrate expertise in utilizing Excel, Minitab, SPSS, and R to perform descriptive statistics, conduct statistical tests, analyze correlation and regression, and generate random samples and numbers for comprehensive data analysis.

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

Identify, analyze, and interpret different types of data using standard techniques implemented in software packages.

Teaching Strategy Lectures Discovery and oral questions Cooperative Learning
Assessment Methods Assignments Quiz Midterm Final Exam
2.2 Mapped to: S2

Analyze scientific problems using various formats and approaches, predict potential outcomes based on basic principles, and develop strategies to address challenges effectively.

Teaching Strategy Lectures Discovery and oral questions Cooperative Learning
Assessment Methods Assignments Quiz Midterm Final Exam
2.3 Mapped to: S3

Effectively solve, explain, and justify statistical and mathematical problems, such as measures of central tendency and variation, both orally and in writing.

Teaching Strategy Lectures Discovery and oral questions Cooperative Learning
Assessment Methods Assignments Quiz Midterm Final Exam
3.1 Mapped to: V1

Collaborate effectively both independently and in teams to apply knowledge gained during the course using computer applications, while demonstrating a commitment to lifelong learning.

Teaching Strategy Lectures Discovery and oral questions Cooperative Learning
Assessment Methods Assignment Oral Presentation
3.2 Mapped to: V2

Utilize computers and their applications as computational tools while adhering to ethical guidelines, maintaining professional standards, and ensuring responsible and effective use within statistical and mathematical disciplines.

Teaching Strategy Lectures Discovery and oral questions Cooperative Learning
Assessment Methods Assignment Oral Presentation
Assessment
Weight
Homework’s, Quizzes, Mini projects
20%
Midterm Exam
20%
Lab Exam
20%
Final Exam
40%
Total
100%