MAN201 Introduction to Management Science

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Course Code Course Title Weekly Hours* ECTS Weekly Class Schedule
T P
MAN201 Introduction to Management Science 3 2 6 Tuesday 11:00-12:50 Thursday 10:00-10:50
Prerequisite MAN102 It is a prerequisite to
Lecturer Office Hours / Room / Phone

Currently not available

E-mail
Assistant Assistant E-mail
Course Objectives The aim of this course is to introduce and teach students about mathematical model construction, spreadsheet modeling using Excel Solver, and interpretation of Solver output. The students will also learn about other decision making tools such as decision trees and simulation.
Textbook Render, B., Stair R. M., and Balakrishnan, N. (2003). Managerial Decision Modeling with Spreadsheets, Prentice Hall.
Learning Outcomes After successful  completion of the course, the student will be able to:
  1. Identify the need for quantitative managerial decision making tools to improve decision making in a business context and apply the appropriate tools.
  2. Explain building blocks of quantitative managerial decision making models
  3. Solve and analyze quantitative decision making models using spreadsheets.
  4. Analyze the best solution with respect to changes in the parameters of the problem, and evaluate solutions.
  5. Produce short and long reports in English and deliver an oral presentation suited for a professional audience
Teaching Methods The methods include lectures (which may involve power point presentation, video and audio aids), student presentations, projects and class discussions.
WEEK TOPIC REFERENCE
Week 1 Introduction to Management Science & Modelling Chapter 1
Week 2 Modelling, cont. Chapter 1
Week 3 Linear Programming (LP): Graphical Solution Methods Chapter 2
Week 4 Linear Programming (LP): Computer Solution Chapter 2
Week 5 Using Excel Solver to solve LP problems / Interim Exam 1 Chapter 2
Week 6 LP Applications Chapter 3
Week 7 LP Applications cont. / Interim Exam 2 Chapter 3
Week 8 LP Sensitivity Analysis Chapter 4
Week 9 Mathematical Programming Models Chapter 6
Week 10 IP, NLP, Goal Programming Models Chapter 6
Week 11 Network models Chapter 5
Week 12 Project Management Chapter 7
Week 13 Simulation Chapter 10
Week 14 Simulation cont. Chapter 10
Week 15 Review / Lab Exam
Assessment Methods and Criteria Evaluation Tool Quantity Weight Alignment with LOs
Final Exam 1 25 1,2,3,4,5,6
Semester Evaluation Compenents
Interim Exams 2 30 1,2,3,4,5,6
Term Project 1 15 1,2,3,4,5,6
Lab Exam 1 15 1,2,3,4,5,6
Homework 4 15 1,2,3,4,5,6
***     ECTS Credit Calculation     ***
 Activity Hours Weeks Student Workload Hours Activity Hours Weeks Student Workload Hours
Lecture Hours 3 15 45 Active Tutorials 2 14 28
Homework 3 4 12 Homework 3 4 12
Lab Exam 11 1 11 Interim Exams Study 12 2 24
Active Tutorials 2 14 28 Active Tutorials 2 14 28
        Total Workload Hours = 150
*T= Teaching, P= Practice ECTS Credit = 6
Course Academic Quality Assurance: Semester Student Survey Last Update Date: 04/03/2020
QR Code for https://ecampus.ius.edu.ba/course/man102-introduction-management

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