تويت
ISE 205 Engineering Probability and Statistics
Catalog Description
Basic concepts and tools for non-deterministic systems. Elementary and conditional probability, random variables, distribution theory, hypothesis testing, confidence intervals, use of operating characteristic curves, parameter estimation, laboratory projects consisting of selected computer applications. Course Objectives
Introduce the students to basic concepts in probability & statistics to enable them
Method of assessment
Homework & Participation 15 Quiz 20 Exam I 20 (March 19 in Lab) Exam II 20 (April 30 in Lab) Exam III 25 Topics Classes 1. Descriptive Statistics: data Summary and Presentation
The Engineering methods and statistical thinking. Role of statistics, stem and leaf, frequency distribution, measure of position, measures of dispersion and skewness. Box plot, time series
Reference: Chapters 1 & 6 4 2. Probability
Sample space, basic set theory (complementation - combinatorial analysis), fundamentals of probability, laws of probabilities (independence, conditional probability, Bayes rule)
Reference: Chapter 2 4 3. Discrete Random Variables and Probability Distribution
Concept of a random variable: concept of mass function, distribution function, expected value, binomial, geometric, hyper-geometric, Poisson distributions
Reference: Chapter 3 5 4. Continuous Random Variables and Probability Distributions
Continuous random variable, probability density function, distribution function, expected value, uniform, normal, exponential, gamma and Weibull distributions
Reference: Chapter 4 5 5. Sampling Distribution
Random sampling, sampling distribution of the sample mean and the sample variance
Reference: Chapter 7 2 6. Estimation Theory
Classical estimation (point and interval estimation), estimating the mean and the variance, constructing confidence interval for the difference of means and the ratio of variances
Reference: Chapters 8 and 10 6 7. Joint probability distributions
Joint probability distribution for discrete and continuous random variables, covariance and correlation
Reference: Chapter 5 4 Text Book D.C. Montgomery and C. Runger, Applied Statistics and Probability for Engineers, Wiley Pre-requisite Math 201 Calculus II References Hines et al, Probability and Statistics in Engineering,Wiley Attendance University rules regarding unexcused absences will be enforced. Homework Students must submit the homework on time. No late homework will be accepted. Computer Usage
Catalog Description
Basic concepts and tools for non-deterministic systems. Elementary and conditional probability, random variables, distribution theory, hypothesis testing, confidence intervals, use of operating characteristic curves, parameter estimation, laboratory projects consisting of selected computer applications. Course Objectives
Introduce the students to basic concepts in probability & statistics to enable them
- Summarize and present data
- Describe probability distributions and compute probabilities
- Conduct point and interval estimation
- Make inference about populations
- Apply these concepts in practice with emphasis on engineering applications, design and decision making
Method of assessment
Homework & Participation 15 Quiz 20 Exam I 20 (March 19 in Lab) Exam II 20 (April 30 in Lab) Exam III 25 Topics Classes 1. Descriptive Statistics: data Summary and Presentation
The Engineering methods and statistical thinking. Role of statistics, stem and leaf, frequency distribution, measure of position, measures of dispersion and skewness. Box plot, time series
Reference: Chapters 1 & 6 4 2. Probability
Sample space, basic set theory (complementation - combinatorial analysis), fundamentals of probability, laws of probabilities (independence, conditional probability, Bayes rule)
Reference: Chapter 2 4 3. Discrete Random Variables and Probability Distribution
Concept of a random variable: concept of mass function, distribution function, expected value, binomial, geometric, hyper-geometric, Poisson distributions
Reference: Chapter 3 5 4. Continuous Random Variables and Probability Distributions
Continuous random variable, probability density function, distribution function, expected value, uniform, normal, exponential, gamma and Weibull distributions
Reference: Chapter 4 5 5. Sampling Distribution
Random sampling, sampling distribution of the sample mean and the sample variance
Reference: Chapter 7 2 6. Estimation Theory
Classical estimation (point and interval estimation), estimating the mean and the variance, constructing confidence interval for the difference of means and the ratio of variances
Reference: Chapters 8 and 10 6 7. Joint probability distributions
Joint probability distribution for discrete and continuous random variables, covariance and correlation
Reference: Chapter 5 4 Text Book D.C. Montgomery and C. Runger, Applied Statistics and Probability for Engineers, Wiley Pre-requisite Math 201 Calculus II References Hines et al, Probability and Statistics in Engineering,Wiley Attendance University rules regarding unexcused absences will be enforced. Homework Students must submit the homework on time. No late homework will be accepted. Computer Usage
- Every student has to have a Blackboard account; this is essential since homework solutions, grades, etc will be posted in the course Blackboard.
- Basic knowledge of Excel is required.
- Minitab will be used.
الوصف: المفاهيم الأساسية والأدوات اللازمة للنظم الغير قطعية. مبادئ الاحتمال و الاحتمال المشروط، المتغيرات العشوائية والتوزيع من الناحية النظرية، واختبار الفرضيات، والثقة، واستخدام المنحنيات، وتقدير خواص الدالات.
برنامج الهندسة الصناعية و النظم
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