Description: This presentation proposes a solution to the student actuarial paradox “I mastered the syllabus but failed the exam,” by utilizing the two-dimensional syllabus vehicle which pedagogically focuses on the two dimensions of content and problem difficulty. This presentation advocates the PMR characterization of three levels of problems difficulty: Plug-ins (easy), Monkey-wrench (intermediate), and Research-type(hard) questions. PMR was developed by examining difficulty levels in SOA exams, and problems of various software vendors. The author's students routinely score high on the SOA FM exam; it is hoped that these methods will assist other instructors in their quest for good pedagogy. Very briefly: “Plug-ins,” refer to multi-part problems, for example, calculating the price of an annuity that is first increasing and then level; “Monkey-wrench” problems specifically refer to plug-in multi-part problems where one component is a monkey-wrench, an issue the candidate has not previously encountered. It might be a non-typical modeling or it might be a non-typical algebraic simplification or it might be an unexpected integration of distinct modules in a manner that the candidate has not yet seen. “Research-type questions” refer to problems requiring some type of experimentation for example, looking at initial cases, seeing a pattern and then applying methods

Description: The actuarial profession is marching into the age of Big Data. Increasingly, employers in various actuarial fields are requiring new hires to have sophisticated knowledge in statistics and data science. To meet the new demands from the industry and the profession, one of the key additions to the SOA’s new curriculum is an exam in Statistics for Risk Modeling (SRM) which includes modern statistical and data science techniques. There is also a new proctored project on Predictive Analytics, as a capstone requirement following the completion of the SRM Exam. At the University of Toronto, we recently underwent a major actuarial science curriculum redesign, in order to stay current with new trends and demand from the profession and in line with the new professional curriculum.

Description: This article studies the syllabus as a dynamic, interactive teaching tool that informs and is informed by both solutions of complex course problems and student difficulties with these problems.

Description: One of the most fundamental concepts in actuarial practice is the time value of money. For any work in which future cash flows are allowed for, such as reserving or pricing, it is natural to discount to present values so that an appropriate amount of money can be set aside today, allowing for future investment returns. This article discusses yield curve extrapolation methods along with the benefits and drawbacks of these methods.

Description: Learning excellence is of value to both candidates and credentialed actuaries learning new areas. Learning mastery and excellence requires 1) use of executive function (EF), multiple brain areas, for example, verbal, formal (algebraic), computational, and geometric (rule of four), and 2) goal-setting, skillful breaking down of complex tasks into subtasks each of which are simultaneously 2a) clear and specific, 2b) achievable in a short time and 2c) challenging. 10 examples are presented illustrating use of the "rule of four" to achieve elegant solutions to otherwise complex problems as well as goal setting using fellowship-exam approaches, approaches to multi-component problems, and skillful use of databases as visual organizers. The material reflects a new approach to learning complexity that is easier to use than the pedagogic hierarchies and unifies them.

Description: One of the most fundamental concepts in actuarial practice is the time value of money. For any work in which future cash flows are allowed for, such as reserving or pricing, it is natural to discount to present values so that an appropriate amount of money can be set aside today, allowing for future investment returns. This article discusses yield curve extrapolation methods along with the benefits and drawbacks of these methods.