This subject equips the students with knowledge of different statistical methods for risk modeling and machine learning using R.
This will be examined in a set of 2 papers. CS2A is 3 hours and 15 mins paper and CS2B is 1 hour 45 minutes exam and tests R programming along with statistics and modeling. Both elements need to be taken at the same examination sitting. Failure to reach the overall pass mark will require both elements of assessment to be retaken.

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CS2

18,000.0022,000.00

Course: CS2
Faculty: Mr. Puneet Goyal


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    Course Structure

    Why CS2 from The Academic Junction??

  • Experienced corporate faculties with 13-14 papers in progress to make you understand the application of knowledge contained in the subject.
  • Classes available in all 3 modes- Classroom, Live Online and Videos.
  • Multiple small batches to focus on personal interaction and development.
  • Regular Assessments and feedback sharing to discuss your improvement areas.
  • Detailed Study plan, Chapter Wise Important Topics Detailed description- main highlights.
  • Exclusive writing and discussion sessions oriented to case studies and past papers discussion.
  • Regular doubt classes to help you learn technical skills and clear your conceptual knowledge.
  • Regular contacts with companies and start-ups so as to share your resume and prepare you accordingly for interviews.
  • In Depth training of programming language R to prepare for online exam.
  • Experienced corporate faculty working as Python developer in leading MNC for R.
  • Self designed coding notes by faculty to make learning easy for you. Get access to quick notes with detailed R coding, methods and formulae in hard copy.
  • Software Installation and R reference material book as complementary.
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    Risk Modelling and Survival Analysis (CS2) Course Content by Institute and Faculty of Actuaries, IFOA

    Risk Modelling and Survival Analysis (CS2) builds on CS1. It develops
    knowledge of and the ability to apply statistical methods for risk modelling, 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 It also includes a high-level
    introduction to machine learning. The subject includes both theory and
    application of the ideas to real data sets using R.

    Exam format:

    CS2A is 3 hours and 15 minutes exam, CS2B is 1 hour and 45 minutes computer-based exam, R.

    Scientific Calculator is allowed in exam. However, you can use only one of the models from the list below. This can also be used for future exams.
    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)

    CS2 SYLLABUS by IFOA
     

    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%)

    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

    Mr. Puneet Goyal
    He comes with a sole aim of providing students with plethora of information with his management skills and innovative teaching style.
    He does not believe in books but instead on knowledge and focuses students to go for learning and understanding concepts rather than mugging them.

    Demo Lectures


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    Content

    CS2 Content Lectures

    1. CS2 Latest Detailed Orientation Session
    2. CS2 Ch 15
    3. CS2 Ch 15
    4. CS2 Reinsurance Ch 18
    5. CS2 Reinsurance_Ch 18
    6. CS2 Reinsurance_Ch 18
    7. CS2 Risk Models_Ch 19
    8. CS2 Risk Models Ch 19 and 20
    9. CS2 Risk Models Ch 20
    10. CS2 Ch 6
    11. CS2 Ch 6
    12. CS2 Ch 7
    13. CS2 Ch 7
    14. CS2 Ch 8
    15. CS2 Ch 8
    16. CS2 Ch 9
    17. CS2 Ch 9
    18. CS2 Ch 10
    19. CS2 Ch 10
    20. CS2 Ch 11
    21. CS2 Ch 12
    22. CS2 Ch 1
    23. CS2 Ch 1
    24. CS2 Ch 2
    25. CS2 Ch 2
    26. CS2 Ch 2
    27. CS2 Ch 3
    28. CS2 Ch 4
    29. CS2 Ch 4
    30. CS2 Ch 4
    31. CS2 Ch 5
    32. CS2 Ch 5
    33. CS2 Ch 13
    34. CS2 Ch 13
    35. CS2 Ch 14
    36. CS2 Ch 16
    37. CS2 Ch 16
    38. CS2 Ch 17
    39. CS2 Ch 17
    40. CS2 Ch 21
    41. CS2 Ch 21

    Part B Lectures

    1. Introduction To R
    2. R Class 2
    3. R Class 3
    4. R Class 4
    5. R Class 5
    6. R Class 6
    7. R Class 7
    8. R Class 8
    9. R Class 9
    10. CS1 Basic R Class R Class 10
    11. CS2B Class 11
    12. CS2B Class 12
    13. CS2B Class 13
    14. CS2B Class 14
    15. CS2B Class 15
    16. CS2B Class 16
    17. CS2B Class 17
    18. CS2B Class 18
    19. CS2B Class 19

    CS2 Summary Lists

    1. CS2_Summary List_Chapter 1-2
    2. CS2_Summary List_Chapter 3-5
    3. CS2_Summary List_Chapter 6-8
    4. CS2_Summary List_Chapter 9
    5. CS2_Summary List_Chapter 10-11
    6. CS2_Summary List_Chapter 12,16, 17, 21
    7. CS2_Summary List_Chapter 13-14
    8. CS2_Summary List_Chapter 15,18-20

    CS2 Assignments

    1. CS2 Assignment Chapter 1-2
    2. CS2 Assignment Chapter 12-14
    3. CS2 Assignment Chapter 15,18-20
    4. CS2 Assignment Chapter 16,17,21
    5. CS2 Assignment Chapter 3-5
    6. CS2 Assignment Chapter 6-8
    7. CS2 Assignment Chapter 9-11

    X Series Lecture

    1. Ch 15-18 X Series Questions
    2. Ch 15-18 X Series Questions
    3. Ch 19-20 X Series Questions

    Doubts Portal Sessions

    1. Doubts Portal Session 1
    2. Doubts Portal Session 2
    3. Doubts Portal Session 3

    CS2B Past Paper Lectures

    1. CS2B Past Papers Class 1
    2. CS2B Past Papers Class 2