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 |
GEP0432 | English for Specific Purposes I | Fall | 3 | 0 | 3 | 5 |
The course opens with the approval of the Department at the beginning of each semester |
Language of instruction: | En |
Type of course: | GE-Elective |
Course Level: | Bachelor |
Mode of Delivery: | Face to face |
Course Coordinator : | Instructor ELİF CANAN ONAT |
Course Objectives: | 1. to identify the specific language 2. to demonstrate the language appropriate to the activities of the discipline in terms of grammar, lexis, register, study skills, discourse and genre |
The students who have succeeded in this course; 1. to guess unknown vocabulary from context 2. to use complex sentence structures and academic phrases 3. to identify the audience, tone, and purpose in specific language 4. to analyze coherence, cohesion, and unity in specific language 5. to summarize in specific language 6. to paraphrase in specific language 7. to apply rules and conventions of academic writing 8. to write a piece of writing in specific language |
ESP language skills based on the definition of CEFR C Level |
Week | Subject | Related Preparation | |
1) | Introduction to the course requirements, syllabus, evaluation system and materials | Stated in the syllabus. | |
2) | Stated in the syllabus. | ||
3) | Stated in the syllabus. | ||
4) | Stated in the syllabus. | ||
5) | Stated in the syllabus. | ||
6) | Stated in the syllabus. | ||
7) | Stated in the syllabus. | ||
8) | Stated in the syllabus. | ||
9) | Stated in the syllabus. | ||
10) | Stated in the syllabus. | ||
11) | Stated in the syllabus. | ||
12) | Stated in the syllabus. | ||
13) | Stated in the syllabus. | ||
14) | Stated in the syllabus. |
Course Notes: | Complied Course Materials, OUP and CUP materials, and Internet sources |
References: | Stated in the syllabus. |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 0 | % 0 |
Laboratory | 0 | % 0 |
Application | 0 | % 0 |
Field Work | 0 | % 0 |
Special Course Internship (Work Placement) | 0 | % 0 |
Quizzes | 10 | % 40 |
Homework Assignments | 0 | % 0 |
Presentation | 0 | % 0 |
Project | 0 | % 0 |
Seminar | 0 | % 0 |
Midterms | 1 | % 20 |
Preliminary Jury | 0 | % 0 |
Final | 1 | % 40 |
Paper Submission | 0 | % 0 |
Jury | % 0 | |
Bütünleme | % 0 | |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 60 | |
PERCENTAGE OF FINAL WORK | % 40 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Special Course Internship (Work Placement) | 0 | 0 | 0 |
Field Work | 0 | 0 | 0 |
Study Hours Out of Class | 14 | 4 | 56 |
Presentations / Seminar | 0 | 0 | 0 |
Project | 0 | 0 | 0 |
Homework Assignments | 14 | 1 | 14 |
Quizzes | 10 | 1 | 10 |
Preliminary Jury | 0 | 0 | 0 |
Midterms | 1 | 1 | 1 |
Paper Submission | 0 | 0 | 0 |
Jury | 0 | 0 | 0 |
Final | 1 | 2 | 2 |
Total Workload | 125 |
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. |