At the end of this course, the students; 1) gain preliminary experience on all the work required for system analysis and main design, 2) gain the ability to identify, describe, model and solve complex real-life problems through examples by taking into account the "United Nations Sustainable Development Goals", 3) gain the ability to use the knowledge and skills acquired in other courses together on the encountered problems, 4) acquire written and verbal reporting and presentation skills, 5) gain Project Management, Change and Risk Management experience through team work.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITION
It covers a series of preparatory studies that provide hands-on experience of every stage of the Graduation Project studies by working on sample project studies under the supervision of an instructor for independent research and practice, such as problem identification, definition, modeling and solution, literature research and establishing and developing a Decision Support System. The sample projects worked on are selected from real systems.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Introduction to Research Projects: Systems Analysis Tools,
2nd Week
Applied Lab Training: Data analysis Minitab/Easyit/Excel,
3rd Week
Problem Approach Alternatives: Complex Problem Definition,
4th Week
Literature Review and Source Research,
5th Week
Model Development: Verification/Validation with artificial data,
6th Week
Applied Lab Training: Model Solution Cplex/ARENA,
7th Week
Solution Methodologies: Exact and Heuristic Methods,
8th Week
Midterm exam consists of Knowledge Test and Model Development Application,
9th Week
Development of Decision Support System,
10th Week
Applied Lab Training: Microsoft Power Platform I / VBA / Python,
11th Week
Applied Lab Training: Microsoft Power Platform II / VBA / Python,
