MATHEMATICS
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
SEN2022	Software Engineering Analysis and Design	Spring	3	0	3	7

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:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Prof. Dr. MEHMET ALPER TUNGA
Recommended Optional Program Components:	None
Course Objectives:	The students will have the ability of analyzing and designing of a software development process such as defining 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 and 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 information system problems
4. Define scope of information system problems
5. Identify the problems, opportunities and directives that trigger the project
6. Define functional and nonfunctional system requirements, apply fact-finding techniques
7. Define actors and use cases, construct context and use case model diagrams
8. Construct data models and UML diagrams
9. Define the basic concepts and constructs of a process model and construct context, data flow, event and system diagrams
10. Identify alternative system solutions, define six types of feasibility, prepare cost-benefit analyses and system proposal reports

Course Content

The course content is composed of the basic concepts of systems analysis and design, the components of information systems, methods for developing information systems, project management, systems analysis approaches, scope definition phase, problem analysis phase , requirements analysis phase, use-cases, data modeling and analysis, 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)	Systems Analysis Approaches
4)	Project Management
5)	Scope Definition and Problem Analysis Phases
6)	Requirements Analysis Phase
7)	Use Case Diagrams
8)	Use Case Scenarios
9)	Data Modeling and Analysis
10)	Data Modeling and Analysis
11)	UML Diagrams
12)	Process Modeling
13)	Feasibility Analysis and the System Proposal
14)	Project Presentations

Sources

Course Notes / Textbooks:	Eric J. Braude and Michael E. Bernstein, Software Engineering: Modern Approaches 2ed, John Wiley & Sons, 2011, ISBN 978-0-471-69208-9 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
Quizzes	10	% 10
Project	1	% 20
Midterms	1	% 30
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
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)	To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics
2)	To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods,
3)	To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials,
4)	To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself,	4
5)	To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way,
6)	To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level,
7)	To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,
8)	To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense,	4
9)	By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere,
10)	To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning,
11)	To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school,
12)	To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively.