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INTRODUCTION TO INDUSTRIAL STATISTICS

ISYE 210
과목 설명

Introduction to basic probability and statistical tools and methods from an industrial application perspective. Random variables and probability distributions; descriptive statistics; point estimates. Perform hypothesis testing, construct confidence intervals, and understand design of experiments in the context of motivating case studies. Regression and correlation analysis. Focus on applying statistical methods and tools to solve engineering problems. Use of Microsoft Excel to interpret and analyze data.

선수과목

(MATH 211 , 217, or MATH 221 ) or member of Engineering Guest Students

충족 요건
학점

3

개설 시기

Not Applicable

평점
3.81

5.99% 과거 데이터 대비

수료율
100%

0.47% 과거 데이터 대비

A 비율
75.22%

53.28% 과거 데이터 대비

학급 규모
113

39.51% 과거 데이터 대비

2026 Summr Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

INTRODUCTION TO STATISTICS FOR SCIENCE AND ENGINEERING

STAT 324

Descriptive statistics, probability concepts and distributions, random variables. Hypothesis tests and confidence intervals for one- and two-sample problems. Linear regression, model checking, and inference. Analysis of variance and basic ideas in experimental design. Utilizes the R programming language.

INTRODUCTION TO QUALITY ENGINEERING

ISYE 575

Introduction to statistically based quality improvement methods useful in industrial settings; observational methods and design of experiments; experimentation to discover influential factors and to analyze sources of variation; robust products.

STATISTICAL EXPERIMENTAL DESIGN

ME/STAT 424

Introduction to statistical design and analysis of experiments. Topics include: principles of randomization, blocking and replication, randomized blocking designs, Latin square designs, full factorial and fractional factorial designs and response surface methodology. Substantial focus will be devoted to engineering applications.

FUNDAMENTALS OF INDUSTRIAL DATA ANALYTICS

ISYE 412

Provides an understanding of the fundamentals of using data analytics to make data-driven decisions. Emphasizes applying techniques to industrial engineering problems. Focuses on formulating and solving real industrial problems with the appropriate modeling strategies and analytics principles for better decision making.

ENGINEERING APPLICATIONS OF STATISTICS

EPD 416

Provides knowledge and skills to apply statistics to many types of engineering problems. Focuses on developing statistically-based experimental techniques and tests for measures of validity, application of computer-based statistical tools, and approaches to distillation of data.