Faculty of EngineeringComputer Engineering

Computer Engineering

Learning Outcomes

Students who graduate from Computer Engineering Department have;


Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.


Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.


Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose.


Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.


Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems


Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.


Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language.


Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.


Awareness of professional and ethical responsibility; have knowledge about the standards used in engineering applications.


Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.


Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.


Knowledge about advanced mathematical subjects that include differential equations, calculus, linear algebra, statistics and probability, and discrete mathematics.


Knowledge of mathematical issues, basic sciences, computer science and engineering sciences for the design and analysis of complex electrical and electronic devices, software and systems including hardware and software.


Knowledge about data structures and algorithm analysis, database management systems, operating systems, software engineering, computer architecture and automata theory in computer engineering.

This page updated by Computer Engineering on 17.07.2018 16:25:19