TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF SCIENCE AND LETTERS |
| ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING PR. (ENGLISH) | |
| Code | YZZ109 |
| Name | Academic Oral Presentation |
| Term | 2025-2026 Academic Year |
| Semester | 1. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Belirsiz |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi Cevher ÖZDEN |
| Course Instructor |
Prof. Dr. MUSTAFA CANLI
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Prepare and deliver effective presentations in formal academic situations; express oneself in spoken language with a reasonable degree of fluency and clarity appropriate to academic and professional contexts; build confidence in speaking English; use critical thinking skills to analyse, synthesize and evaluate information. Research and use sources effectively to support one's ideas in academic contexts.
Course Content
Students engage in class discussions following advanced readings on a variety of topics. In the course, students examine effective presentation techniques, conduct extensive reading, and conduct research to create presentations of diverse functions that utilize mature content and topical vocabulary.
Course Precondition
None
Resources
Compiled texts and articles on academic oral presentations
Notes
Online resources, oral presentation videos
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Organizes a presentation into introduction, body, and conclusion sections. |
| LO02 | Utilizes effective support techniques to enhance content in presentations and class discussions/debates. |
| LO03 | Uses appropriate transitions and signposts to connect sections of the presentation. |
| LO04 | Uses appropriate vocal and physical presentation to effectively present ideas in a presentation. |
| LO05 | Prepares effective audiovisual aids for presentations. |
| LO06 | Uses audiovisual aids effectively during presentations. |
| LO07 | Ensures effective use of topical words in presentations. |
| LO08 | Demonstrates awareness of the differences between spoken and written discourse. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | It provides a broad range of knowledge about fundamental Computer Science concepts, algorithms and data structures. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Learns basic computer topics such as software development, programming languages, and database management. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Understands advanced computing fields such as data science, artificial intelligence, and machine learning. | |
| PLO04 | Belirsiz | Learn about topics such as computer networks, cyber security, and database design. | |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Develops skills in designing, implementing and analyzing algorithms. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Gains the ability to use different programming languages effectively | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Learns data analysis, database management and big data processing skills. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Gains practical experience by working on software development projects. | |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Strengthens collaboration and communication skills within the team. | 4 |
| PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | It provides a mindset open to technological innovations. | 3 |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Encourages continuous learning and self-improvement competence. | 4 |
| PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Develops the ability to solve complex problems. | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Discussing the scope of the course and expectations | Warm-up exercises | Öğretim Yöntemleri: Anlatım, Beyin Fırtınası |
| 2 | Discussion of presentation techniques | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 3 | Tips and frameworks for giving an effective presentation | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Discussion for an effective presentation | Reading lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 5 | Participants are given the opportunity to give a short academic presentation and receive constructive feedback from the rest of the group and the instructor. | Reading of lecture notes | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 6 | Participants re-present their presentations, applying the feedback provided in the previous session. | Reading of lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 7 | Participants read and talk about a selected article in the field of artificial intelligence, answer questions, and do vocabulary exercises. | Reading lecture notes. | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 8 | Mid-Term Exam | Mid-Term Exam | Ölçme Yöntemleri: Proje / Tasarım |
| 9 | Participants individually re-present their presentations, incorporating feedback from the previous session. | Reading of lecture notes | Öğretim Yöntemleri: Anlatım |
| 10 | Visual scientific presentations that contain a logical structure and coherent design are discussed and evaluated. | Reading of lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 11 | Developing visual scientific presentations that contain a logical structure and consistent design | Reading lecture notes | Öğretim Yöntemleri: Anlatım |
| 12 | Presentations are reviewed in group and individual sessions with various audiences. | Reading of lecture notes | Öğretim Yöntemleri: Anlatım, Grup Çalışması |
| 13 | Presentations are presented in group and individual sessions with a variety of audiences. | Reading of lecture notes. | Öğretim Yöntemleri: Anlatım, Grup Çalışması |
| 14 | Presentations are evaluated for group and individual sessions with various audiences. | Reading of lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 15 | Oral Presentations | Review of what was done during the semester | Öğretim Yöntemleri: Soru-Cevap |
| 16 | Final Exams | Final Exams | Ölçme Yöntemleri: Proje / Tasarım |
| 17 | Final Exams | Final Exams | Ölçme Yöntemleri: Proje / Tasarım |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 2 | 8 | 16 |
| Mid-term Exams (Written, Oral, etc.) | 0 | 0 | 0 |
| Final Exam | 0 | 0 | 0 |
| Total Workload (Hour) | 86 | ||
| Total Workload / 25 (h) | 3,44 | ||
| ECTS | 3 ECTS | ||