10:08

Process selection and facility layout Part 2 (Process Types)

29:47

Process selection and facility layout Part 3 (Facility Layout Types)

17:52

Process selection and facility layout Part 5 (The Most Following Method)

21:05

Process selection and facility layout Part 6 (Positional Weight Method)

22:17

Process selection and facility layout Part 7 (Practice Problem)

19:37

Process selection and facility layout Part 4 (Intro Line Balancing)

01:33

Waiting Lines Management - Part 1 (Intro)

27:08

Waiting Lines Management - Part 2 (Characteristics of Waiting Lines)

27:24

Waiting Lines Management - Part 3 (Queue's Performance)

10:06

Project Management - Part 2 (Project Life Cycle)

05:59

Project Management - Part 1 (Intro)

09:07

Project Management Part 3 (Work Breakdown Structure)

20:49

Project Management - Part 4 (Critical Path Method - CPM)

15:57

Project Management - Part 6 (Activities' Late Start and Late Finish)

25:58

Project Management - Part 7 (Crashing a project)

14:26

Project Management - Part 5 (Activities' Early Start and Early Finish)

12:53

Project Management - Part 8 (Practice Problem 1 Network Diagrams)

14:49

Project Management - Part 10 (Practice Problem 3 Crashing a project)

18:57

Project Management - Part 9 (Practice Problem 2: Computing Slacks)

11:19

Practice Problems for Discrete Probability Distribution

24:03

Discrete Probability Distribution

16:57

Binomial Distribution

36:24

Practice Problems for Binomial Distribution

22:49

Poisson Distribution

10:44

Continuous Probability Distribution (Introduction to Normal Distribution)

31:48

Z Table and How to Use It

24:03

Practice Problems for Normal Distribution

11:00

More on Normal Distribution

13:05

Practice Problem for More on Normal Distribution

09:38

Uniform Distribution

18:54

Practice Problems for Uniform Distribution

12:48

Exponential Distribution

10:20

Practice Problems for Exponential Distribution

20:49

Central Limit Theorem

09:46

Proportion

13:19

Sampling Distributions

17:02

Confidence Intervals

26:32

Confidence Intervals for the Population Mean

10:03

Practice Problems for Confidence Intervals

15:10

Confidence Interval for Proportion

13:21

Practice Problems for Confidence Interval for Proportion

09:44

Practice Problems for Determining the Sample Size

13:50

Sample Size: Determining How Big a Sample Should Be

26:33

Covariance and Coefficient of Correlation

08:28

Introduction to Hypothesis Testing

18:35

Hypothesis Testing using Critical Values

13:25

Examples for Hypothesis Testing using Critical Values

17:11

Hypothesis Testing using P Values

09:38

Type 1 and Type 2 Errors in Hypothesis Testing

10:48

Hypothesis Testing for Proportion

01:17:57

1 Machine Learning using Scikit Learn

16:57

Polynomial Features: Put it into work

02:02:52

5. Optimization Models - LP Models (Continued)

01:54:37

4. Optimization Models - Linear Programming

01:26:47

6. Optimization Models - LP Models (Conted) / Network Models

01:49:15

7. Optimization Models - Network Models

01:59:42

8. Optimization Models - Integer Models

02:32:11

9. Optimization Models - Evolutionary Solver in Excel

02:07:59

11. Optimization Models - NLP Models (Continued)

02:06:34

10. Optimization Models - NLP Models