In 2000, the North American Society of Actuaries will change the existing examination system. The associate actuary qualification will be merged from 15 courses into 6 courses. The actuary qualification will be added to two other courses and professional development courses. Now

A brief introduction is as follows: Course 1: Mathematical foundations of Actuarial Science Description: The purpose of this course is to cultivate knowledge about some basic mathematical tools and develop the ability to assess risks from a quantitative perspective, especially the application of these

Tools to solve problems in actuarial science.

It is also assumed that students have mastered the relevant contents of calculus, probability theory and basic knowledge of risk management before studying this course.

Main content and concepts: calculus; probability theory; risk management (including loss frequency; loss amount; retention amount; deductible; independent insurance and risk premium).

Course 2: Interest Theory, Economics and Finance (Interest Theory, Economics and Finance) Description: This course includes interest theory, intermediate microeconomics and macroeconomics, and basics of finance.

Basic knowledge of calculus and probability theory is required before taking this course.

Main contents and concepts: interest theory; microeconomics; macroeconomics; basics of finance.

Course 3: Actuarial Models of Risk Description: Through the study of this course, students will develop basic knowledge of actuarial models of random events and the application of these models in insurance and financial risks.

Before studying this course, you are required to be proficient in calculus, probability theory and mathematical statistics.

It is recommended that students take this course after passing Course 1 and Course 2.

Main content and concepts: insurance and other financial random events; survival models; population data analysis; quantitative analysis of the financial impact of random events.

Course 4: Actuarial Modeling Methods (Actuarial Modeling) Description: This course provides a preliminary introduction to the basic knowledge of building models and important actuarial and statistical methods for modeling.

Before studying this course, you are required to be proficient in calculus, linear algebra, probability theory and mathematical statistics.

Main content and concepts: definition of model; why and how to use models; advantages and disadvantages of models; deterministic and stochastic models; model selection; input and output analysis; sensitivity testing; experience and feedback on research results; regression analysis;

Forecasting; risk theory; reliability theory.

Course 5: Application of Basic Actuarial Principles (Application of Basic Actuarial Principles) Description: This course provides learning about product design, risk classification; pricing/rate determination/establishment of insurance funds, marketing, distribution, management and valuation.

Coverage includes financial security plans, employee welfare plans, accident pension plans, government social insurance and pension plans and some emerging application areas such as product liability, warranty evaluation, environmental maintenance costs and manufacturing applications.

The course's study materials combine a variety of programs and coverage to demonstrate the consistency and diversity of actuarial principles in the application of actuarial principles across a variety of fields of study.

To encourage this approach to learning, the course examines each actuarial topic, such as pricing, by considering its application in each field rather than vice versa.

Main contents and concepts: plan and product design; risk classification principles and techniques; application of actuarial principles and practices in pricing, rate determination, establishment of insurance funds, and traditional and emerging application areas; marketing, allocation, and management; liabilities and insurance

Actuarial techniques for fund valuation.

Course 6: Finance and Investments Description: This course is an expansion of actuarial principles used in the fields of investment and asset liability management.

After completing this course, students will have an in-depth understanding of capital markets, investment tools, derivative securities and applications, portfolio management and asset-liability management.

Main content and concepts: capital market and basic investment principles; asset-liability management.

Course 7: Actuarial Model Application Instructions: This course introduces students to the practical considerations for establishing actuarial models.

Students are required to have knowledge of basic courses.

Some parts of the course are common to all participants.

It should be emphasized that students should pay attention to the technologies and issues related to the field in which they are engaged. These contents vary depending on the field in which the students are engaged.

Models can be used in many aspects of actuarial science, such as pricing/rate determination, insurance benefit design, asset/liability/capital management, asset and liability valuation, and dynamic solvency testing.

No matter where the model is used, the steps are the same.

This course will outline these steps.

After completing the course, students will learn the modeling process and use it to solve some problems.

Main content and concepts: model design or selection; data input analysis; data output analysis; result comparison, inspection and feedback.