Software Engineering (CS 308)

2020 Spring
Faculty of Engineering and Natural Sciences
Computer Sci.& Eng.(CS)
8.00 / 7.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Cemal Yılmaz,
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Formal lecture,Laboratory
Interactive,Project based learning,Other
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Software engineering deals with issues that arise in building large programs, typically by a team of programmers. Topics include organizing and designing a programming project, working from specifications top-down decomposition using stepwise refinement, object-oriented design principles, model-based approaches to software engineering, testing, software quality reliability, maintenance, identifying the nature and sources of software costs, coordinating multiple programmers, the design and documentation of user interfaces This course will emphasise team projects to give give students real-life practical experience in building large software systems.


To introduce the basics of the software engineering process life cycle, including requirements gathering, specification, and testing.
To introduce the principles of object-oriented (OO) analysis and design, as well as software architecture, through OO principles and design/architectural patterns.
To introduce the basics of UML (Unified Modeling Language) ? a way of expressing requirements and design in software engineering.
To practice the application of object-oriented software development principles through a team project.
To develop teamwork and communication skills through a team project.


Describe the basics of the software engineering process life cycle.
Identify, formulate, and solve basic software engineering problems, including the requirements gathering, specification, design, architecture, and testing of software systems.
Analyze software engineering artifacts, including the requirements, design, and architecture of software systems.
Design basic object-oriented software systems that meet requirements by applying OO software development principles and design/architectural patterns.
Evaluate the impact of potential solutions to basic software engineering problems.


1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 2

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 2

3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects. 3

4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 3

5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 4

1. Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 2

2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 2

3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 2

4. Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 5

5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 1

6. Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 1

7. Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. 1

1. Design, implement, test, and evaluate a computer system, component, or algorithm to meet desired needs and to solve a computational problem. 5

2. Demonstrate knowledge of discrete mathematics and data structures. 2

3. Demonstrate knowledge of probability and statistics, including applications appropriate to computer science and engineering. 1

1. Use mathematics (including derivative and integral calculations, probability and statistics, differential equations, linear algebra, complex variables and discrete mathematics), basic sciences, computer and programming, and electronics engineering knowledge to (a) Design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software. or (b) Design and analyze communication networks and systems, signal processing algorithms or software 1

1. Comprehend key concepts in biology and physiology, with emphasis on molecular genetics, biochemistry and molecular and cell biology as well as advanced mathematics and statistics. 1

2. Develop conceptual background for interfacing of biology with engineering for a professional awareness of contemporary biological research questions and the experimental and theoretical methods used to address them. 1

1. Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 1

2. Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 1

3. Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 1

1. Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components. 1

2. Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers. 2

1. Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics. 1

2. Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 1

3. Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 1


  Percentage (%)
Final 20
Midterm 20
Exam 10
Group Project 50



Timothy C. Lethbridge and Robert Laganiere, Object Oriented Software Engineering: Practical Software Development Using UML and Java (2nd Edition), McGraw-Hill.

Note that the textbook is just for a reference; the course material significantly deviates from the textbook!

Optional Readings

Frederick P. Brooks, The Mythical Man-Month, Addison Wesley
Eric Gamma, Design Patterns: Elements of Reusable Object-Oriented Software, Pearson
Steve McConnell, Code Complete (2nd Edition), Microsoft Press
Ian Sommerville, Software Engineering (9th Edition), Pearson