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.

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.

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

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CS2

12,500.0030,000.00

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

    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 20 minutes exam, CS2B is 1 hour and 50 minutes computer-based exam.

    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
     

    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.
    To know more about our faculty – Click on Linkedin Profile –

    Demo Lectures

    To watch our demo videos

    Content


    For detailed content of CS2, please click on the attached file-

    CS2 Detailed Content File