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Cyprus International University
TR

PROBABILITY & COMPUTER APPLICATIONS IN INDUSTRIAL ENGINEERING

Course
INDE204 - PROBABILITY & COMPUTER APPLICATIONS IN INDUSTRIAL ENGINEERING
Department
Engineering Management - English - Master
Course Type
Scientific Preparation
Status
Required
Language
English
Credit
0
ECTS
0
T+P+L
3 + 0 + 2
Course Coordinator(s)
-
Prerequisite
-
Keywords
-

Course Description

The course is designed to give useful feedback from probability knowledge and to give brief information of computer software applications for Industrial Engineering courses. Introduction to model formulation and numerical solution methods in industrial engineering. Emphasis on decisions, constraints, and objectives in problem solving. Introductory knowladge on project management and developing a project a plan by use of Work Brake Down Structure and Network analysis. Understanding the statistical nature of engineering processes. Emphasis on proper data collection and classification, characteristics of variables and their distributions, joint probability distributions, and establishing hypotheses and statistical significance over engineering design specifications.

PROBABILITY & COMPUTER APPLICATIONS IN INDUSTRIAL ENGINEERING

Evaluation Tools (Active Term)

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Course outcomes

  1. 01 Using computer softwaresfor solving Industrial Engineering related problems
  2. 02 Able to develop Work Brakedown Structure of a project
  3. 03 Apply Critical Path Method for project scheduling
  4. 04 Hypothesiz building and testing
  5. 05 Design factorial experiments.

Course Syllabus

Week Topic
Week 1 Introduction to Project Management
Week 2 Management of Projects
Week 3 Work Breake Down Structure
Week 4 Planning and Scheduling with Gantt Charts
Week 5 Network Diagrams
Week 6 Critical Path Method - Activity on Node
Week 7 Review of Statistics and Data Analysis
Week 8 Describing Data with Graphs and Numerical Measures
Week 9 Sampling Distributions
Week 10 Sampling Distributions
Week 11 Large-Sample Estimation
Week 12 Large-Sample Tests of Hypotheses
Week 13 Inference from Small Samples
Week 14 The Analysis of Variance
Week 15 The Analysis of Variance

Reference Books & Course Materials

  1. 01 Introduction to Probability and Statistics; Mendenhall/Beaver/Beaver; 14th Edition; Brooks/Cole, Cengage Learning; 2013; ISBN-13: 978-1-133-10375-2
  2. 02 Operations Management: Theory and Practice; W.J. Stevenson; 11th Edition; McGraw-Hill; 2012; ISBN-13: 978-0077133016
  3. 03 IBM SPSS Statistics 21 Brief Guide; IBM Press; 2012; Reference #: 7024972
  4. 04 Microsoft Project 2013: Step by Step; Microsoft Press, 2013; ISBN-13: 978-0735669116

Learning Outcomes

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Program Outcomes

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