Kingdom of Saudi Arabia
Ministry of Education
Prince SattamBin Abdulaziz University
College of Computer Eng. & Sciences
Department of Information Systems / / المملكة العربية السعودية
وزارة التعليم
جامعة الأمير سطام بن عبدالعزيز
كلية هندسة وعلوم الحاسب
قسم نظم المعلومات

Syllabus

IS3311- QUANTITATIVE ANALYSIS

(Required Course)

Course Catalog Description

The main purpose for this course is to introduce the main concepts of quantitative analysis models. The course covered topics related to decision making models under uncertainty and risk environment, decision trees, inventory models, linear programming, network planning models, transportation models, waiting lines, and simulation.

Course Requirements

  • Pre-requisite:STAT1050 – Probability and Statistics for Computer Students
  • Credit Hours: 3 CHs
  • Contact Hours: (2 hours lecture, 1 hour tutorial, 0 hours Lab)

References

  • Textbook:

Title: "Quantitative Analysis for Management"

Author: Render, Stair, and Hanna

Publisher: Prentice Hall, (ISBN-10:0136036252),

Year/Edition: 2009/10thed.

  • Others:

Instructor/Course Coordinator

Dr. ElsadigAbdallaAljack, Email: , Office: BS05

Grading Policy

Assessment / Week / Weight
1.Exam #1 / #4 / 15%
2.Exam #2 / #8 / 15%
3.Exam #3 / #11 / 15%
4.Tutorials and Assignments / #2..#14 / 15%
5.Final Exam / #16 / 40%

Course Learning Outcomes (CLOs)

CLO# / CLOs / SOs / a / b / c / d / e / f / g / h / i / j
CLO#1 / Define quantitative analysis approach and it is applications in a real situation as well as outline roles of modeling in quantitative analysis. / 
CLO#2 / Design accurate decision models and make decisions under uncertaintyor under risk decision making environments. /  / 
CLO#3 / Calculate solutions for business problems using inventory and queuing quantitative techniques. /  / 
CLO#4 / Create solutions for business problems using linear programming, transportation, and networks quantitative techniques. /  / 
CLO#5 / Prepare random number intervals and use them to generate outcomes in Monte Carlo Simulation. /  / 

Student Outcomes (SOs)

a)An ability to apply knowledge of computing and mathematics appropriate to the program’s student outcomes and to the discipline

b)An ability to analyze a problem, and identify and define the computing requirements appropriate to its solution

c)An ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs

d)An ability to function effectively on teams to accomplish a common goal

e)An understanding of professional, ethical, legal, security and social issues and responsibilities

f)An ability to communicate effectively with a range of audiences

g)An ability to analyze the local and global impact of computing on individuals, organizations, and society

h)Recognition of the need for and an ability to engage in continuing professional development

i)An ability to use current techniques, skills, and tools necessary for computing practice.

j)An understanding of and an ability to support the use, delivery, and management of information systems within an Information Systems environment

Topics

Topic / Week / Reference
  1. Introduction to Quantitative Analysis :
-Define Quantitative Analysis and the Quantitative Analysis Approach
-Possible Problems in the Quantitative Analysis Approach / #1 / Ch#1
  1. Decision Analysis:
-The Six Steps in Decision Making
-Decision Making under Uncertainty and under Risk
-Decision Trees / #2, #3 / Ch#3
  1. Inventory Control Models:
-Economic Order Quantity: Determining How Much to Order
-Reorder Point: Determining When to Order
-Quantity Discount Models / #3, #4 / Ch#6
  1. Linear Programming Models: Graphical and Computer Methods:
-Requirements of a Linear Programming Problem
-Formulating LP Problems and Graphical Solution / #5, #6 / Ch#7
  1. Transportation Models
-Setting Up a Transportation Problem
-Developing an Initial Solution (North west corner and VAM)
-Obtaining an optimal solution (Stepping stone method and MODI) / #7, #8 / Ch#10
  1. Network Models:
-Minimal-Spanning Tree Technique
-Maximal-Flow Technique
-Shortest-Route Technique / #9,#10 / Ch# 12
  1. Waiting Lines and Queuing Theory Models:
-Waiting Line Costs
-Characteristics of a Queuing System
-Single-Channel Queuing Model with Poisson Arrivals and Exponential Service Times / #11, #12 / Ch# 14
  1. Simulation Modeling:
-Advantages and Disadvantages of Simulation
-Monte Carlo Simulation
-Simulation and Inventory Analysis / #13,#14 / Ch# 15

Preparation and Approval

Prepared by: Dr. ElsadigAbdallaAljack Signature:______Date: ______

Approved by the Dept.: ______Signature:______Date: ______

Syllabus –Quantitative Analysis-1437-38-1, Page1/3