We always strive to give back the knowledge that we gain from our experiences to the students of actuarial science fraternity. To extend the same philosophy, we are coming up with a more structured curriculum as described in the sample study plan.

It’s observed that most of the students start preparation with a lot of passion initially but fail to come up to the standards when it comes to learning the subject and clearing the paper. We take utmost care and encourage our students from time to time to take up the challenge, study everyday and complete the course well before time. We sincerely appeal all the aspirants to plan their upcoming session properly in advance.

The environment which SMEARS provides in terms of the problem solving approach and innovation is a hands-on experience which is required when going out into the real world.

The study material is just like a Road MAP. Studying the material and knowing the concepts is necessary part of progressing in this profession but that's not sufficient to clear the papers. You need to develop problem solving skills.

To become successful in clearing exams is assessing oneself through practice tests on a regular basis. Taking exams on a consistent basis is one of the best ways to self check from time to time. We conduct formative tests each day on the topic covered the same day followed by summative tests. The mock tests will be conducted prior to the exam.

SAMPLE STUDY PLAN

SESSION (Oct 2016– Jan 2017)

SUBJECT-CT4 (Models)

FA-FORMATIVE ASSESSMENT
SA-SUMMATIVE ASSESSMENT
MT-MOCK TEST

CLASS	DATE	CHAPTER	TOPIC	REMARKS
Class -1	08-10-16	Ch-3	Introduction to stochastic processes, random walkThe Godfather	FA-1
Class -2	09-10-16	Ch-3	Markov chain, long term distribution	FA-2
Class -3	15-10-16	Ch-2	Independent increments, filtrations and Poisson process	FA-3
Class -4	16-10-16	SA-1	SA-1(Discussion)
Class -5	22-10-16	Ch-4	The two state Markov model	FA-4
Class -6	23-10-16	Ch-5	Various definitions of Poisson processes	FA-5
Class -7	29-10-16	Ch-5	Kolmogorov s Forward, Backward differential equations	FA-6
Class -8	08-10-16	Ch-6	Time Inhomogeneous Markov Model	FA-7
Class -9	05-11-16	SA-2	SA-2(Discussion)
Class -10	06-11-16	Ch-8	Different types of censoring, introduction to parametric & non-parametric models, Kaplan-Meier and Nelson-Aalen estimate	FA-8
Class -11	12-11-16	Ch-9,10	The Cox regression model, Binomial and Poisson models of mortality.	FA-9
Class -12	13-11-16	Ch-7,11	Complete and curtate expectation of life, Gompert law makeham’s law, Exposed to Risk.	FA-10
Class -13	19-11-16	SA-3	SA-3(Discussion)
Class -14	20-11-16	Ch-12	Graduation & Statistical Tests	FA-11
Class -15	26-11-16	Ch-13	Methods of Graduation	FA-12
Class -16	27-11-16	SA-4	SA-4(Discussion)
Class -17	30-12-16	MT-1		Evaluation
Class -18	10-12-16	MT-2		Evaluation