Your contribution can guide someone’s learning journey. Share your
documents today.
COURSE NAME: ENGINEERING MATHEMATICS-IV COURSE CODE:MA 2201 LECTURE SERIES NO :01 (ONE) CREDITS:03 MODE OF DELIVERY:ONLINE (POWER POINT PRESENTATION) FACULTY:DR ANAMIKA JAIN EMAIL-ID:anamika.jain@Jaipur.manipal.edu PROPOSED DATE OF DELIVERY:15 February 2021 B.TECH SECOND YEAR ACADEMIC YEAR: 2020-2021
Secure Best Marks with AI Grader
Need help grading? Try our AI Grader for instant feedback on your assignments.
SESSION OUTCOME“TO DEVELOP THE UNDERS OF THE COURSE’
ASSESSMENT CRITERIA'S ASSIGNMENT QUIZ MID TERM EXAMINATION–I& II END TERM EXAMINATION
PROGRAM OUTCOMES MAPPING WITH CO1 ï‚¡Engineering Knowledge:Apply the knowledge of mathematics,science,engineeringfundamentals, and an engineering specialization to the solution of complex engineering problems.
Paraphrase This Document
Need a fresh take? Get an instant paraphrase of this document with our AI Paraphraser
Course Name :Engineering mathematics-IV Course Code :MA 2201 Course Credits:3 Credits L T P C :2 1 0 3 Introduction about the course
INTRODUCTION This course is offered by Dept.of Mathematics & Statistics as a regular course t make the students acquainted with the subject of probability and statistics early stage.Probability and statistics is an importantfoundation forcomputer science fields such as machine learning,artificial intelligence,computer graphics, randomized algorithms,image processing,and scientificsimulations.In this course,students willexpand their knowledge of probabilistic methods and app them to diverse computationalproblems.The firstpartofthe course offers in depth knowledge of probability theory (random event, probability, characte random variables,probabilitydistributions and momentgenerating functions) which is necessaryforsimulation ofrandom processes.In the second part, sampling theory is discussed. Each concept is explained through various ex and application-oriented problems.
Secure Best Marks with AI Grader
Need help grading? Try our AI Grader for instant feedback on your assignments.
Course Outcomes:At the end of the course, students will be able to [2201. 1]Apply the concept of probability and related theorems in solving various real world prob [2201.2] Understand the key concept of random variable, its probability distributions including m expectation, variance and moments. [2201.3] Implement the variation and the relation between two random variables by using the co correlation. [2201.4] Comprehend the concept of random sample and its sampling distribution which will enha logical & analytical skills. [2201.5] Apply the statistics for testing the significance of the given large and small sample data t-test, F-test and Chi-square test.
ASSESMENT PLAN CriteriaDescriptionMax. Marks Internal Assessment (Summative) Sessional Exam I20 Sessional Exam II20 In class Quizzes and Assignments , Activity feedbacks (Accumulated and Averaged) 20 End Term Exam (Summative) End Term Exam40 Total100
SYLLABUS Basic Set theory,Axioms of probability,Sample space,conditionalprobability,total probability theorem, Baye's theorem. One dimensional and two dimensiona variables,mean and variance,properties,Chebyschev'sinequality,correlation coefficient,Distributions,Binomial,Poisson,Normaland Chisquare.Functions of random variables:One dimensionaland Two dimensional,F & T distributions, Momentgeneratingfunctions,Samplingtheory,Centrallimittheorem,Point estimation,MLE,Intervalestimation,Test of Hypothesis:significance level,certain best tests; Chi square test.
Paraphrase This Document
Need a fresh take? Get an instant paraphrase of this document with our AI Paraphraser
REFERENCES BOOKS: 1.P.L.Meyer,Introduction to probability and StatisticalApplications,(2e),Oxford and IBH publishing, 1980. 2. Miller, Freund and Johnson, Probability and Statistics for Engineers, (8e), Hall of India, 2011. 3. Hogg and Craig, Introduction to mathematical statistics, (6e), Pearson Ed 2012. 4. Sheldon M Ross, Introduction to Probability and Statistics for Engineers a Scientists, Elsevier, 2010