M.SC. in Computer Engineering (Without Thesis)

STAT 561 | Course Introduction and Application Information

Course Name

Statistical Softwares and Simulation

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
STAT 561	Fall/Spring	3	0	3	7.5

Prerequisites	None
Course Language	English
Course Type	Elective
Course Level	Second Cycle
Mode of Delivery	-
Teaching Methods and Techniques of the Course	-
National Occupation Classification	-
Course Coordinator	-
Course Lecturer(s)	Doç. Dr. Gözde YAZGI TÜTÜNCÜ
Assistant(s)	-

Course Objectives

This course aims to make the students familiar with basic statistical programs. The accent is made on two programs –Matlab and Arena.

Learning Outcomes

#	Content	PC Sub	* Contribution Level
#	Content	PC Sub	1	2	3	4	5
1	will be aware of modern Statistical Software.
2	will be able to choose up to dates Software and install it.
3	will be able to state and perform applied statistical models.
4	will be able to use the chosen statistical package.
5	will be able to apply the knowledge and skill to real life problems arising in applied statistics.

Course Description

The course includes. Description of statistical software. Basic commands and operations in Matlab. Various simulation techniques of Matlab. Codes and commands of Arena.

Course Category	Core Courses
	Major Area Courses
	Supportive Courses
	Media and Management Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Related Preparation	Learning Outcome
1	Software Selection	“Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice” by J.Banks, John Wiley and Sons, NY.: 12:53.
2	Software Description. Vendors of Sowtware.	“Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice” by J.Banks, John Wiley and Sons, NY. 73:92.
3	Matlab: Matrix Operations, Data Analysis.	“Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice” by J.Banks, John Wiley and Sons, NY: 9:42.
4	Matlab: Graphing, Mfiles.	“Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice” by J.Banks, John Wiley and Sons, NY: 56:78.
5	The use of Matlab in mathematical computing: Various problems.	“Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice” by J.Banks, John Wiley and Sons, NY: 89:151.
6	Generating random numbers	“Simulation” by Sheldon M.Ross, Elsevier: 41:48.
7	Generating discrete random variables.	“Simulation” by Sheldon M.Ross, Elsevier: 49:62.
8	Generating continuous random variables.	“Simulation” by Sheldon M.Ross, Elsevier: 67:91.
9	Simulation of probabilistic events with Matlab..	“Simulation” by Sheldon M.Ross, Elsevier: 117:219.
10	Project 1 Simulation with Matlab.
11	Modeling Basic Operations and Inputs.	“Simulation with Arena” by W.D.Kelton, R.P.Sadowski, D.T.Sturrock, McGrawHill: 115:150.
12	Statistical Analysis of Output from Terminating Simulations.	“Simulation with Arena” by W.D.Kelton, R.P.Sadowski, D.T.Sturrock, McGrawHill:265:292.
13	Intermediate Modeling and SteadyState Statistical Analysis.	“Simulation with Arena” by W.D.Kelton, R.P.Sadowski, D.T.Sturrock, McGrawHill:293:321.
14	Project 2 Simulation with Arena.
15	Review for Final Exam
16	Review of the Semester

Course Notes/Textbooks	“Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice” by J.Banks, John Wiley and Sons, NY.
Suggested Readings/Materials	1. “Numerical methods using Matlab” by J.Mathews, K.Fink.2. “Simulation with Arena” by W.D.Kelton, R.P.Sadowski, D.T.Sturrock, McGrawHill. 3. “Simulation” by Sheldon M.Ross, Elsevier.

EVALUATION SYSTEM

Semester Activities	Number	Weighting	LO 1	LO 2	LO 3	LO 4	LO 5
Participation	1	20
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project	2	40
Seminar / Workshop
Oral Exams
Midterm
Final Exam	1	40
Total

Weighting of Semester Activities on the Final Grade		60
Weighting of End-of-Semester Activities on the Final Grade		40
Total

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Theoretical Course Hours (Including exam week: 16 x total hours)	16	3	48
Laboratory / Application Hours (Including exam week: '.16.' x total hours)	16		0
Study Hours Out of Class	15	7	105
Field Work			0
Quizzes / Studio Critiques			0
Portfolio			0
Homework / Assignments			0
Presentation / Jury			0
Project	2	16	32
Seminar / Workshop			0
Oral Exam			0
Midterms			0
Final Exam	1	40	40
		Total	225

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Accesses information in breadth and depth by conducting scientific research in Computer Engineering, evaluates, interprets and applies information.		-	-	-	X	-
2	Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations.		-	-	-	-	X
3	Uses scientific methods to complete and apply information from uncertain, limited or incomplete data, can combine and use information from different disciplines.		-	-	-	X	-
4	Is informed about new and upcoming applications in the field and learns them whenever necessary.		-	-	-	-	X
5	Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions.		-	-	-	-	X
6	Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs.		-	-	-	-	X
7	Designs and implements studies based on theory, experiments and modelling, analyses and resolves the complex problems that arise in this process.		-	-	-	X	-
8	Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations, can work independently and takes responsibility.		-	-	-	-	X
9	Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale.		-	-	X	-	-
10	Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.		-	-	X	-	-
11	Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications.		-	-	X	-	-
12	Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity.		-	X	-	-	-