COURSE INFORMATION Course Title: ADVANCED SIMULATION AND MODELLING

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
CEN 833	C	99	3	2	0	4	7.5

Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature)	NA
Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Wasito Wasito
Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	NA
Teaching Assistant(s) and Office Hours:	NA
Language:	English
Compulsory/Elective:	Elective
Classroom and Meeting Time:
Course Description:	-
Course Objectives:	(1) To explore fundamental principles and concepts in the general area of systems modelling and simulation. (2) To apply modelling and simulation in various field of research

COURSE OUTLINE

Week	Topics
1	Introduction to Simulation and Modelling
2	Concepts in Discrete-Event Simulation
3	Components and Organization of Discrete-Event Simulation
4	Serial Algorithms
5	Input Data Modeling
6	Verification and Validation Techniques
7	Output Data Analysis
8	Proposed Simulation Modeling Research Presentation
9	Project Progress presentation
10	Project Progress presentation
11	Project Progress presentation
12	Project Progress Presentation
13	Review on Research Project
14	Final Project Presentation

Prerequisite(s):	Foundation of Statistics and Programming languages ( C++ or Java).
Textbook:	"Simulation Modeling & Analysis" by A. Law and D. Kelton, McGraw Hill Publishing Co., 1991
Other References:
Laboratory Work:
Computer Usage:
Others:	No

COURSE LEARNING OUTCOMES

1	To explore the foundation simulation and modeling
2	To enhance the student knowledge in simulation and modeling
3	To product high quality research in simulation and modeling

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Doctorate (PhD) in Computer Engineering Program
1	Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice.	5
2	Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations	5
3	Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects.	4
4	Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies.	4
5	Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.	5
6	Ability of identifying the potential resources for information or knowledge regarding a given engineering issue.	5
7	The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence.	5
8	Ability for effective oral and official communication skills in foreign language.	5
9	Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.	3
10	Engineering graduates with well-structured responsibilities in profession and ethics.	3
11	Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues.	3
12	Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity.	3

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Presentation	6	5
Project	1	30
Term Paper	1	40
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	3	48
Hours for off-the-classroom study (Pre-study, practice)	15	5	75
Mid-terms			0
Assignments	6	10	60
Final examination			0
Other	1	4.5	4.5
Total Work Load:			187.5
Total Work Load/25(h):			7.5
ECTS Credit of the Course:			7.5