sap course 1429524034

Course Code & Number:

IE 559

Course Title:

Revenue Management

Level of Course:

MS

Credits:

(3+0+0) 3 TEDU Credits, 7.5 ECTS Credits

Catalog Description:

Pricing. Price optimization, Price Differentiation, Revenue Management, Capacity Determination and Assignment, Overbooking Strategies, Discount Management.

Pre-requisites & Co-requisites:

Pre-requisites: NONE
Co-requisites: NONE
Year of Study: 
Master
Mode of Delivery: 
Face-to-face
Language of Instruction: 
English
Course Type: 
Elective
Required Reading: 
1. Bowerman, B.L., O’Connell, R., Koehler A. (2004), Forecasting, Time Series and Regression, Thomson Brooks
Course Objective: 

The course aims to teach forecasting techniques for manufacturing and service operations. The techniques include time series decomposition, regression methods, smoothing techniques, regression methods, exponential smoothing and Box-Jenkins ARIMA models. Ultimate goal is to teach techniques for comparing individual methodologies, selecting a methodology and designing a forecasting system for a given organization.

Extended Description: 

Pricing. Price optimization, Price Differentiation, Revenue Management, Capacity Determination and Assignment, Overbooking Strategies, Discount Management.

Learning Outcomes: 

Upon succesful completion of this course, a student will be able to
1. Apply basic techniques of data analysis and forecasting [a2] [B3]
2. Distinguish between short-term andlong-term forecasting (B4, a2)
3. Compare individual forecasting methodologies(B6, c)
4. Choose and defend the most appropriate forecasting methodin different situations. (B6, c)
5. Designa forecasting system for a given organization(B5, c)
6. Evaluate the performance of forecasting methods (B6, b2,h)

Planned Learning Activities and Teaching Methods: 
Telling/Explaining
Discussion/Debate
Reading
Problem Solving
Case Study/Scenarion Analysis
Assessment Methods and Criteria: 
Test / Exam
Quiz/Homework
Written Project

Student Workload:

Quizzes /Homeworks
36
hrs
Midterm Exam 1
12
hrs
Final Exam
18
hrs
Others
59
hrs

Prepared By:

Revised By:

sap_editor