Click to Print This Page
Code CS 308
Term 201602
Title Software Engineering
Faculty Faculty of Engineering and Natural Sciences
Subject Computer Sci.& Eng.(CS)
SU Credit 4
ECTS Credit 8.00 / 7.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Cemal Y?lmaz cyilmaz@sabanciuniv.edu,
Detailed Syllabus
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
CS300 CS204 CS202
Mode of Delivery Formal lecture,Laboratory
Planned Learning Activities Interactive,Project based learning,Other
Content

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.

Objective

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.

Learning Outcome

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.

Programme Outcomes
 
Common Outcomes For All Programs
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
Common Outcomes ForFaculty of Eng. & Natural Sci.
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
Computer Science and Engineering Program Outcomes Core Electives
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
Molecular Biology, Genetics and Bioengineering Program Outcomes Area Electives
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
Materials Science and Nano Engineering Program Outcomes Area Electives
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
Mechatronics Engineering Program Outcomes Area Electives
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
Industrial Engineering Program Outcomes Area Electives
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
Electronics Engineering Program Outcomes Area Electives
1 Use mathematics (including derivative and integral calculations, probability and statistics), basic sciences, computer and programming, and electronics engineering knowledge to design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software. 1
2 Analyze and design communication networks and systems, signal processing algorithms or software using advanced knowledge on differential equations, linear algebra, complex variables and discrete mathematics. 1
Assessment Methods and Criteria
  Percentage (%)
Final 30
Midterm 20
Group Project 50
Recommended or Required Reading
Textbook

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

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