ARTIFICIAL INTELLIGENCE ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
ELT5887 | Seminar | Spring | 0 | 0 | 0 | 10 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Prerequisites: |
ELT5888-1 - Thesis |
Mode of Delivery: | Face to face |
Course Coordinator : | |
Course Lecturer(s): |
Dr. Öğr. Üyesi ENİSA MEDE Prof. Dr. KENAN DİKİLİTAŞ |
Recommended Optional Program Components: | None |
Course Objectives: | Graduate Seminar course is a systematic study that prepares students for their thesis writing. To help students conduct a thesis study, the course involves augmenting critical thinking, researching, and academic writing skills. |
The students who have succeeded in this course; 1. Critique research articles on current topics 2. Formulate a specific research topic and research questions 3. Conduct literature review relevant to a research topic they have selected 4. Collaborate with faculty to develop applicable research methodology for data collection and analyses 5. Write a research proposal outlining key elements of the proposed project and present it orally in seminar |
The seminar course introduces students with various current research ideas widening their perspectives and awareness of topics of interests through invited speakers and their presentations. The course orients students to conduct literature review on a pre-determined subject, to help them gain competence in synthesizing the literature, collect data, analyze, interpret and discuss the findings. |
Week | Subject | Related Preparation |
1) | Introduction to the seminar course | Syllabus |
2) | Academic study aim, academic writing, and plagiarism | Reading articles |
3) | Identifying a research problem and writing research questions | Reading related book chapters and articles |
4) | Literature review | Reading articles |
5) | Data collection methods: Quantitative | Inviting a guest speaker for a seminar |
6) | Data collection methods: Qualitative | Inviting a guest speaker for a seminar |
7) | Data analysis | Reading articles |
8) | Discussion based on the findings | Reading articles |
9) | Discussion and conclusion | |
10) | Feedback on projects | |
11) | Feedback on projects | |
12) | Project presentations | |
13) | Project presentations | |
14) | Project presentations |
Course Notes / Textbooks: | The instructor may assign readings, handouts, web-based activities throughout the semester. |
References: | American Psychological Association. (2009). Publication manual of the American psychological association (6th edition). Washington, DC: Author. (or other appropriate style manual) |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 2 | % 10 |
Homework Assignments | 5 | % 50 |
Project | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 60 | |
PERCENTAGE OF FINAL WORK | % 40 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 10 | 14 | 140 |
Presentations / Seminar | 1 | 1 | 1 |
Project | 1 | 10 | 10 |
Homework Assignments | 5 | 19 | 95 |
Total Workload | 246 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Have sufficient background in mathematics, science and artificial intelligence engineering. | |
2) | Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. | |
3) | Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. | |
4) | Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. | |
5) | Select and use modern techniques and tools necessary for engineering applications. | |
6) | Design and conduct experiments, collect data, and analyse and interpret results. | |
7) | Work effectively both as an individual and as a multi-disciplinary team member. | |
8) | Access information via conducting literature research, using databases and other resources | |
9) | Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. | |
10) | Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. | |
11) | Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. | |
12) | Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age. | |
13) | Have a sense of professional and ethical responsibility. | |
14) | Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. |