Become a data analyst in the next 4 months and kickstart your career. 100% placement assistance. Start your Analytics journey with our free Python course.
Dr A.P.J. Abdul Kalam Technical University, UP (AKTU), Computer Engineering Semester 4, Mathematics-IV Syllabus
Mathematics-IV Lecture notes | Videos | Free pdf Download | Previous years solved question papers | MCQs | Question Banks| Syllabus
Get access to 100s of MCQs, Question banks, notes and videos as per your syllabus.
Try Now for free
Try Now for free
Unit - 1 Partial Differential Equations
Unit 1
Partial differential equation
1.1 Origin of Partial Differential Equations
1.2 Lagrange’s Equations linear and NonLinear Partial Equations of the first order
1.3 Charpit’s method
1.4 Cauchy’s method of Characteristics
1.5 Solution of Linear Partial Differential Equation of Higherorder with constant coefficients
1.6 Equations reducible to linear partial differential equations with constant coefficients
Unit - 2 Applications of Partial Differential Equations
Unit 2
Applications of partial differential equation
2.1 Classification of the linear partial differential equation of second order
2.2 Method of separation of variables
2.3 Solution of wave and heat conduction equation up to two dimensions Laplace equation in two dimensions
2.4 Equations of Transmission lines
Unit - 3 Statistical Techniques I
Unit 3
Statistical techniques1
3.1 Introduction Measures of central tendency
3.2 Moments Moment generating function MGF
3.3 Skewness Kurtosis
3.4 Curve Fitting Method of least squares fitting of straight lines fitting of a seconddegree parabola Exponential curves
3.6 Correlation and Rank correlation
3.7 Regression Analysis Regression lines of y on x and x on y regression coefficients properties of regressions coefficients and nonlinear regression
Unit 3
Statistical techniques1
3.1 Introduction Measures of central tendency
3.2 Moments Moment generating function MGF
3.3 Skewness Kurtosis
3.4 Curve Fitting Method of least squares fitting of straight lines fitting of a seconddegree parabola Exponential curves
3.6 Correlation and Rank correlation
Unit - 4 Statistical Techniques II
Unit 4
Statistical techniques2
4.1 Probability and Distribution Introduction Addition and multiplication law of probability
4.2 Conditional probability
4.3 Bayes’ theorem
4.4 Random variables Discrete and Continuous Random variable Probability mass function and Probability density function
4.5 Expectation and variance
4.6 Discrete and Continuous Probability distribution Binomial Poisson and Normal distributions
4.1 Probability and Distribution Introduction Addition and multiplication law of probability
Unit 4
Statistical techniques2
4.1 Probability and Distribution Introduction Addition and multiplication law of probability
4.2 Conditional probability
4.3 Bayes’ theorem
4.4 Random variables Discrete and Continuous Random variable Probability mass function and Probability density function
4.5 Expectation and variance
Unit 4
Statistical techniques2
4.1 Probability and Distribution Introduction Addition and multiplication law of probability
4.2 Conditional probability
4.3 Bayes’ theorem
4.4 Random variables Discrete and Continuous Random variable Probability mass function and Probability density function
Unit 4
Statistical techniques2
4.1 Probability and Distribution Introduction Addition and multiplication law of probability
4.2 Conditional probability
4.3 Bayes’ theorem
4.4 Random variables Discrete and Continuous Random variable Probability mass function and Probability density function
4.5 Expectation and variance
4.6 Discrete and Continuous Probability distribution Binomial Poisson and Normal distributions
Unit - 5 Statistical Techniques III
Unit 5
Statistical techniques3
5.1 Introduction Sampling Theory Small and Large
5.2 Hypothesis Null hypothesis Alternative hypothesis
5.3 Testing a Hypothesis Level of significance Confidence limits
5.4 Test of significance of the difference of means
5.5 Ttest Ftest and Chisquare test
5.6 Oneway Analysis of Variance ANOVA
5.7 Statistical Quality Control SQC Control Charts Control Charts for variables X and R Charts Control Charts for Variables p np and C charts.
5.5 Ttest Ftest and Chisquare test
Unit 5
Statistical techniques3
5.1 Introduction Sampling Theory Small and Large
5.2 Hypothesis Null hypothesis Alternative hypothesis
5.3 Testing a Hypothesis Level of significance Confidence limits
5.4 Test of significance of the difference of means
5.5 Ttest Ftest and Chisquare test
5.6 Oneway Analysis of Variance ANOVA
5.7 Statistical Quality Control SQC Control Charts Control Charts for variables X and R Charts Control Charts for Variables p np and C charts.
Unit 5
Statistical techniques3
5.1 Introduction Sampling Theory Small and Large
5.2 Hypothesis Null hypothesis Alternative hypothesis
Unit 5
Statistical techniques3
5.1 Introduction Sampling Theory Small and Large
5.2 Hypothesis Null hypothesis Alternative hypothesis
5.3 Testing a Hypothesis Level of significance Confidence limits
5.4 Test of significance of the difference of means
5.5 Ttest Ftest and Chisquare test
5.6 Oneway Analysis of Variance ANOVA
5.7 Statistical Quality Control SQC Control Charts Control Charts for variables X and R Charts Control Charts for Variables p np and C charts.
Download CSE Sem 4 syllabus pdf
Get access to 100s of MCQs, Question banks, notes and videos as per your syllabus.
Try Now for free
Try Now for free
Other Subjects of Semester-2
Share
Link Copied
More than 1 Million students use Goseeko! Join them to feel the power of smart learning.
Spot anything incorrect? Contact us
Goseeko covers the entire spectrum of student’s journey from Academics to Career. From helping them to ace their academics with our personalized study material to providing them with career development resources, our students meet their academic and professional goals.
Courses
B.E.
B.Com
B.A.
BBA
BMS
BSC
Resources
Notes
MCQ
Question bank
Audio bites
Express Class
Reference Videos
Solved Question Papers
