Name: The Academic Junction
Address: 37-38, Outram Ln, Kingsway Camp, GTB Nagar,, New Delhi, Delhi,, 110009, IN
Telephone: 09910427442

About Course

CS2 – RISK MODELLING AND SURVIVAL ANALYSIS

Area	Description
Introduction	Risk Modelling and Survival Analysis (CS2) builds on CS1 and develops knowledge of, and the ability to apply, statistical methods for risk modelling.
Topics Covered	Time series analysis methods, stochastic processes (especially Markov chains and Markov jump processes), survival analysis (including regression methods applied to duration data), and graduation methods.
Machine Learning	Includes a high-level introduction to machine learning.
Theory & Practice	Includes both theory and application of the ideas to real data sets using R.
Outcome	Equips students with knowledge of different statistical methods for risk modelling and machine learning using R.

Detail	Information
Number of Papers	2 Papers – CS2A and CS2B
CS2A Duration	3 Hours 15 Minutes
CS2B Duration	1 Hour 45 Minutes (tests R programming along with statistics and modelling)
Exam Rule	Both papers must be taken at the same examination sitting. Failure to reach the overall pass mark will require both papers to be retaken.
Prerequisite	Builds on CS1 – Actuarial Statistics

Skill Type	Weightage
Knowledge	20%
Application	65%
Higher Order Skills	15%
In the CS subjects, the approximate split of assessment across the three skill types is 20% Knowledge, 65% Application and 15% Higher Order Skills.

Why TAJ

#	Feature	Details
1	Experienced corporate faculties	With 13–14 papers in progress to make you understand the application of knowledge contained in the subject.
2	Classes available in all 3 modes	Classroom, Live Online and Videos.
3	Multiple small batches	To focus on personal interaction and development.
4	Regular assessments and feedback sharing	To discuss your improvement areas.
5	Detailed study plan and chapter-wise important topics	With detailed descriptions and main highlights.
6	Exclusive writing and discussion sessions	Oriented towards case studies and past paper discussions.
7	Regular doubt classes	To help you learn technical skills and clear your conceptual knowledge.
8	Regular contacts with companies and start-ups	To share your resume and prepare you accordingly for interviews.
9	In-depth training of R programming	To prepare you for the online exam.
10	Experienced corporate faculty for R	Working as a Python developer in a leading MNC.
11	Self-designed coding notes by faculty	Quick notes with detailed R coding, methods and formulae in hard copy to make learning easy for you.
12	Complimentary software installation	Along with an R reference material book.

Area	Coverage
Overview	Risk Modelling and Survival Analysis (CS2) builds on CS1. It develops knowledge of and the ability to apply statistical methods for risk modelling.
Topics	Time series analysis methods, stochastic processes (especially Markov chains and Markov jump processes), survival analysis (including regression methods applied to duration data), graduation methods, and a high-level introduction to machine learning.
Application	The subject includes both theory and application of the ideas to real data sets using R.

Detail	Information
CS2A	3 hours 20 minutes
CS2B	1 hour 50 minutes (computer-based exam)
Calculator	A scientific calculator is allowed in the exam. However, you can use only one of the models from the list below. This can also be used for future exams.

#	Allowed Calculator Model	Note
1	Casio FX82 (ES/MS)	With or without any suffix
2	Casio FX83 (ES/MS)	With or without any suffix
3	Casio FX85 (ES/MS)	With or without any suffix
4	Sharp EL531	With or without any prefix or suffix
5	Texas Instruments BA II Plus	With or without any suffix
6	Texas Instruments TI-30	With or without any suffix
7	Hewlett Packard HP12c	With or without any suffix

#	Topic	Weightage
1	Random Variables and Distributions for Risk Modelling	20%
2	Time Series	20%
3	Stochastic Processes	25%
4	Survival Models	25%
5	Machine Learning	10%

Skill Type	Weightage
Knowledge	20%
Application	65%
Higher Order Skills	15%
In the CS subjects, the approximate split of assessment across the three skill types is 20% Knowledge, 65% Application and 15% Higher Order skills.

About Faculty

Faculty	Mr. Puneet Goyal
Aim	Comes with the sole aim of providing students with a plethora of information through his management skills and innovative teaching style.
Teaching Approach	Does not believe in books but in knowledge, and focuses on students learning and understanding concepts rather than mugging them up.
To know more about our faculty – Click on LinkedIn Profile

Demo Lectures

Detail	Information
Demo Videos	To watch our demo videos – Click here

Our Content

Detail	Information
CS2 Detailed Content	For detailed content of CS2, please click on the attached file – CS2 Detailed Content File

Testimonials

CS2