COMPUTER ENGINEERING (ENGLISH, NON-THESIS)
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
SEN5103	Advanced System Analysis and Design I	Fall Spring	3	0	3	8

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Departmental Elective
Course Level:
Mode of Delivery:	Face to face
Course Coordinator :
Course Lecturer(s):	Assist. Prof. YÜCEL BATU SALMAN Assist. Prof. TAMER UÇAR
Recommended Optional Program Components:	None
Course Objectives:	The objectives of this course are to make the students have the ability of analyzing and designing of a software development process such as defining a scope, describing problems, gathering system requirements, constructing data, object and process models and identifying alternative solution to apply feasibility analysis for decision making purposes.

Learning Outcomes

The students who have succeeded in this course;
1. Describe systems analysis, design concepts and define the components of information systems
2. Describe the essential phases of systems development
3. Describe project management tools and a number of systems analysis approaches for solving business system problems
4. Define scope of business system problems
5. Identify the problems, opportunities and directives that triggered the project
6. Define functional and nonfunctional system requirements, apply fact-finding techniques, create Ishikawa diagram
7. Define actors and use cases, draw context and use case model diagrams
8. Construct data models and object models and draw E-R diagrams, UML diagrams, Define the basic concepts and constructs of a process model, draw data flow, event and system diagrams
9. Identify alternative system solutions, define six types of feasibility, perform cost-benefit analyses, write system proposal reports

Course Content

The content of this course is composed of Introduction to Systems Analysis and Design, The Components of Information Systems, Developing Information Systems, Project Management, Systems Analysis Approaches, Scope Definition Phase, Problem Analysis Phase, Requirements Analysis Phase, Use Cases, Data Modeling and Analysis, Object-Oriented Analysis and Modeling, Process Modeling, Feasibility Analysis and the System Proposal.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to Systems Analysis and Design
2)	The Components of Information Systems
3)	Developing Information Systems
4)	Project Management
5)	Systems Analysis Approaches
6)	Scope Definition Phase
7)	Problem Analysis Phase
8)	Requirements Analysis Phase
9)	Use Cases
10)	Data Modeling and Analysis
11)	Data Modeling and Analysis
12)	Object-Oriented Analysis and Modeling
13)	Process Modeling
14)	Feasibility Analysis and the System Proposal

Sources

Course Notes / Textbooks:	Lonnie D. Bentley and Jeffrey L. Whitten, Systems Analysis & Design for the Global Enterprise 7ed, McGraw Hill, 2007, ISBN-13 978-0-07-110766-2
References:	Yok

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Project	2	% 30
Midterms	1	% 30
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 30
PERCENTAGE OF FINAL WORK		% 70
Total		% 100

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Define and manipulate advanced concepts of Computer Engineering
2)	Use math, science, and modern engineering tools to formulate and solve advenced engineering problems
3)	Notice, detect, formulate and solve new engineering problems.
4)	Review the literature critically pertaining to his/her research projects, and connect the earlier literature to his/her own results
5)	Follow, interpret and analyze scientific researches in the field of engineering and use the knowledge in his/her field of study
6)	Work effectively in multi-disciplinary research teams
7)	Acquire scientific knowledge
8)	Find out new methods to improve his/her knowledge.
9)	Effectively express his/her research ideas and findings both orally and in writing
10)	Defend research outcomes at seminars and conferences.
11)	Prepare master thesis and articles about thesis subject clearly on the basis of published documents, thesis, etc.
12)	Demonstrate professional and ethical responsibility.
13)	Develop awareness for new professional applications and ability to interpret them.