Course Description
Faculties:
1. AMIT KUMAR – MATHS & STATS

Fee – 20000 only
Start Date: 4th Sept 2019
End Date: till 30th Jan 2020

Total No. Lecture – 30
Duration of Each Class – 1:30 to 2 hours

Course Curriculum

COURSE CURRICULUM
Lecture 001 -Functions Equation_ FREE 01:28:00
Lecture 002 – Functions_ 01:14:00
Notes – Functions – I 00:02:00
Notes – Functions – II 00:02:00
Notes – Functions – III 00:02:00
Lecture 003 – Inverse Functions 00:58:00
Notes – Inverse Functions 00:00:00
Lecture 004 – Limits FREE 01:26:00
Lecture 005 –Limits II_ 01:20:00
Limits Assignment – I 00:02:00
Limits Assignment – II 00:02:00
Limits Assignment – III 00:02:00
Limits Assignment – IV 00:02:00
Lecture 006 – Application of derivative_ 01:08:00
Notes – Application of derivative I 01:00:00
Notes – Application of derivative II 02:00:00
Notes – Application of derivative III 02:00:00
Notes – Application of derivative IV 02:00:00
Lecture 007 – Root of polynomial_ 01:26:00
Lecture 008 – Maxima and Minima 01:35:00
Lecture 009 – Continuity and differentiability_ 01:05:00
Lecture 010 – Continuity and differentiability_II 01:30:00
Lecture 011 – Continuity and differentiability_III 00:45:00
Continuity and differentiability notes 02:00:00
Lecture 012 – Linear Algebra 1st class_ 01:29:00
Lecture 013 – Linear Algebra 2nd class_ 01:25:00
Lecture 014 – Linear Algebra 3rd class_ 01:17:00
Lecture 015 – Linear Algebra 4th class_ 01:46:00
STATISTICS
Lecture 001 – Permutation and Combination_ 01:24:00
Lecture 002 –Permutation and Combination 2nd Class_ 01:33:00
Lecture 003 –Permutation and Combination 3rd class_ 01:22:00
Notes – Permutation and Combination – I 02:00:00
Notes – Permutation and Combination – II 02:00:00
Lecture 004 – Probability_ 01:37:00
Lecture 005 – Probability II_ 01:31:00
Probability – I – Notes 01:00:00
Probability – II – Notes 01:00:00
Probability – III – Notes 01:00:00
Lecture 006 – Advance Probability FREE 01:40:00
Lecture 007 – Advance Probabiliity Class II 01:02:00
Lecture 008 – Random Variable 01:36:00
Lecture 009 – Random Variable II 01:11:00
Lecture 010 – Random Variable III 01:30:00

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