Information Package / Course Catalogue
Artificial Intelligence Supported Project Writing
Course Code: TAB234
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 1
Prt.: 1
Credit: 2
Lab: 0
ECTS: 2
Objectives of the Course

The aim is to teach students scientific research methods, types of projects, and general project writing rules, and to equip them with the skills to prepare projects according to TÜBİTAK 2209-A/B standards using artificial intelligence tools within ethical guidelines.

Course Content

The logic of scientific research and project writing, general information about project types, literature review, applications and proper use of artificial intelligence, academic writing rules, and project file preparation.

Name of Lecturer(s)
Learning Outcomes
1.Defines a scientific problem and formulates a research question.
2.Effectively uses artificial intelligence tools in literature reviews.
3.Completely writes the sections (Original Value, Methodology, Project Management, Widespread Impact) of TÜBİTAK 2209 projects.
4.Plans project budget, time schedule, and risk management.
5.Gains awareness of academic integrity and ethics in the use of artificial intelligence.
Recommended or Required Reading
1.TÜBİTAK ARBİS and TYBS Guides.
2."AI for Researchers" (AI Guides for Academic Writing).
3.ADÜ Project and R&D Coordination Training Documents.
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Fundamentals of Scientific Research and Project Logic
Week 2 - Theoretical & Practice
General Project Types: Differences Between TÜBİTAK 2209-A and 2209-B
Week 3 - Theoretical & Practice
Idea Generation and Problem Identification with Artificial Intelligence
Week 4 - Theoretical & Practice
Literature Review: Traditional and AI-Supported Methods
Week 5 - Theoretical & Practice
Original Value: Innovative Aspect and Hypothesis Formulation
Week 6 - Theoretical & Practice
Methods and Materials: Research Design
Week 7 - Theoretical & Practice
Project Idea Presentation (PRESENTATION)
Week 8 - Theoretical & Practice
Project Proposal Presentation (MIDTERM EXAM)
Week 9 - Theoretical & Practice
Risk Management and B-Plan Preparation
Week 10 - Theoretical & Practice
Widespread Impact: Project Outcomes and Socio/Economic Value
Week 11 - Theoretical & Practice
Project Budget and Resource Planning
Week 12 - Theoretical & Practice
Academic Writing Guidelines and Text Improvement with AI
Week 13 - Theoretical & Practice
Scientific Ethics, Plagiarism and AI Usage Statement
Week 14 - Theoretical & Practice
Preparing a Project File Suitable for Uploading to the TÜBİTAK Management Information System (PROJECT)
Assessment Methods and Criteria
Type of AssessmentCountPercent
Presentation1%10
Project1%20
Midterm Examination1%10
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140114
Lecture - Practice140114
Project1819
Presentation 1314
Midterm Examination1314
Final Examination1415
TOTAL WORKLOAD (hours)50
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
PÇ-16
PÇ-17
PÇ-18
OÇ-1
2
4
5
5
3
3
2
OÇ-2
2
4
5
5
3
3
OÇ-3
2
4
5
5
3
3
OÇ-4
2
4
5
5
5
3
OÇ-5
2
4
5
5
3
3
Adnan Menderes University - Information Package / Course Catalogue
2026