Level and Duration of the Program: Doctoral, 8 Semesters.
Mission:
The Computer Engineering Doctorate Program seeks to educate students who possess innovative and ethical values, and are specialized in the field of computer science and engineering. The program provides students with a solid theoretical foundation and practical skills on a global scale, and equips them with advanced research abilities, enabling them to take on a leadership role in the production of knowledge and scientific discovery.
Vision:
The objective of the Computer Engineering Doctorate Program is to establish itself as a renowned and esteemed research and educational institution that significantly contributes to the rapidly evolving fields of information and technology. Through the adoption of an interdisciplinary approach, the program aspires to be an integral part of a vibrant community that creates innovative and enduring solutions to intricate challenges in computer engineering. Furthermore, the program endeavors to equip students with a comprehensive understanding that enables them to demonstrate effective leadership not only in academic settings but also in industrial and societal contexts.
Program Purpose: The primary objective of the Computer Engineering Doctorate Program is to cultivate academic professionals for higher education institutions, equip students with cutting-edge scientific and technological advancements, and prepare them for collaboration between industry and academia through the provision of necessary infrastructure for independent research. Furthermore, the program aims to conduct scientific research in computer engineering while considering emerging and evolving technologies, and to develop industries and economies of countries. Additionally, the program seeks to propose and model scientific methods and decision-making processes that can effectively address emerging problems and capitalize on the value that computers can create. The program is designed to respond to the changing and evolving needs of the world;
1. To offer scholarly perspectives in the discipline of Computer Engineering; to acquire practical knowledge through research and scientific publication,
2. Acquiring expertise, experience, and discipline in the field of Computer Engineering, and subsequently applying these acquisitions.
3. Undertaking a business career that culminates in success by integrating analytical and systematic thinking abilities with scientific, mathematical, and engineering principles.
4. To help train academicians in the field of Computer Engineering,
5. Undertaking lifelong education is essential for individuals to remain current with the dynamic and evolving world.
6. To guarantee that their scholarly pursuits can be showcased in both national and international forums,
7. To guarantee that they demonstrate sensitivity to ethical, cultural, and environmental values in their professional activities.
Program Outcomes: Graduates are proficient in employing innovative techniques and technologies within their respective disciplines. They conduct comprehensive system and problem analyses, utilizing modeling and computer simulation techniques to elicit valuable insights. Furthermore, these graduates develop novel solution methodologies and disseminate their findings through publications at both national and international forums.
1. Developing Current Technology Knowledge: Acquires the capacity to enhance and integrate the technological knowledge gained at the graduate level with contemporary technologies.
2. Generating Individual Solutions to Analytical Problems: Acquires the capacity to devise tailored solutions to issues encountered in practical application through the employment of an analytical methodology.
3. Innovative Approach in System Design: Can design systems using the latest techniques.
4. Scientific Data Processing Skills: Undertakes data collection, evaluation, and interpretation procedures within the confines of a scientific framework.
5. Teamwork Ability: Proficient in working collaboratively with diverse engineering disciplines and fostering a culture of teamwork and cooperation.
6. Effective Presentation Ability: Can effectively convey the outcomes of the study in both written and oral contexts, utilizing academic language.
7. Ability to Continuously Learn and Develop: It continually updates itself by staying abreast of the latest advancements in its respective domain.
8. Compliance with Ethical Rules: Possessing the capacity to consider and adhere to social and ethical concerns, while simultaneously conforming to the ethical guidelines governing scientific investigation.
9. Creating Different Perspectives: Acquires the capacity to perceive issues from a variety of angles.
10. Project Management Capabilities: Acquire the competency to plan and execute projects effectively and collaborate with individuals and teams in national and international settings.
Program Employment Areas: Graduates of this Doctorate Program in Computer Engineering will be well-versed in advanced concepts and research methodologies in the field, preparing them for a variety of career opportunities. Examples of potential industries and job roles that may benefit from the expertise of these graduates include:
1. Academic Career: Graduates of the program have the option to pursue an academic career as a lecturer or research assistant at universities. In these roles, they can participate in scientific research and mentor young engineers.
2. Industry R&D Positions: They may be employed in research and development positions at significant technology corporations or research facilities, where they will play a crucial role in advancing technological innovation.
3. Company Consultancy: With their specialized knowledge in Computer Engineering, they can offer consultancy services to businesses, enabling them to create and enhance their technological plans.
4. Entrepreneurship: Graduates have the option of establishing their own technology companies, which presents them with the chance to work on their own projects and pursue entrepreneurship within the technology sector.
5. Computer Security Expertise: Graduates who possess expertise in security and defense may pursue employment opportunities as security experts in cyber security firms or corporate entities.
6. Data Science and Analytics: Graduates specializing in big data and data science are capable of playing a significant role in the data analysis and strategic decision-making processes of a wide range of organizations.
7. Corporate Professional Organizations: Individuals possessing doctoral degrees in Computer Engineering and possessing scientific qualifications can contribute significantly to the public interest by formulating technology policies and strategies.
Lesson Process: The program typically consists of core courses, elective courses, and thesis work. One of the advantages of distance learning is its flexibility and accessibility, which benefits working professionals, students in remote locations, and individuals who may face barriers to traditional education. These courses are commonly delivered through online platforms, which offer live webinars and virtual classrooms for an interactive learning experience. Through this format, students can ask questions and engage with faculty and other students.
The provision of recorded lectures in video or audio format allows students to review course content at their own pace and convenience, providing flexibility for students who are employed. Online discussion forums enable students to engage in course-related discussions, ask questions, and interact with other students. In doctoral programs, individual research and thesis studies are crucial, and these processes are typically conducted through distance communication between the student and their advisor. The use of online assessment tools and exams is employed to evaluate students' performance. Some of the courses accessible through the Learning Management System (LMS) include:
1. Advanced Scientific Research Techniques in Engineering: Scientific method and research design, quantitative and qualitative research methods, literature review and source evaluation techniques.
2. Publication Ethics and Academic Expression: Conducting scientific research in accordance with ethical principles, reporting research results ethically, raising awareness of citation and plagiarism.
3. Doctoral Seminar: Academic speaking and presentation techniques, peer review and openness to criticism, preparation and presentation of research proposals.
4. Scientific Preparation Courses: Deep learning, artificial neural networks, and big data analytics are among the theoretical foundations and practical applications of machine learning algorithms. Specific case studies on language processing and image processing are also included. The basic principles of computation theory and algorithms, parallel programming paradigms, and distributed computing models are also covered. Additionally, advanced user interface design principles, advanced computer graphics techniques and algorithms, and distributed databases and big data management are explored.
5. Specialized Field Course: The graduate student received guidance from their advisor on their thesis work, including the acquisition of knowledge, skills, and attitudes related to the thesis project.
Bölüm Müfredati / Department Curriculum