ELT5888-2 ThesisBahçeşehir UniversityDegree Programs ARTIFICIAL INTELLIGENCE ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
ELT5888-2 Thesis Spring 0 0 0 30
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

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 : Dr. Öğr. Üyesi ENİSA MEDE
Course Lecturer(s): Dr. Öğr. Üyesi ENİSA MEDE
Prof. Dr. KENAN DİKİLİTAŞ
Recommended Optional Program Components: none
Course Objectives: The aim of the course is to make students do independent research in an scientific field they determined. The course aims to make students solve the selected problem scientifically, ethically, in detail and accurately within a certain time frame and reveal the related findings.

Learning Outcomes

The students who have succeeded in this course;
To understand the ethic rules to be followed in a research study and how to avoid doing plagiarism.
To solve the scientific problem withing a limited time frame by applying appropriate research methods.
To present the data set of solution and findings to the problem under investigation.

Course Content

To make studies related to the problem tried to be solved in relation to the scope of the master's thesis studies.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction
2) Preparing a work plan for the thesis
3) Editing the attack plan of the thesis
4) Writing the literature review
5) Getting feedback about the literature review
6) Writing the method part
6) Getting feedback about the method part
7) Deciding on the data collection tools
8) Data collection procedure
9) Deciding on the data analysis methods
10) Data anlysis
11) Deciding on the results writing section
12) Getting feedback about the conclusion part
12) Deciding on the discussion techiques
13) Getting feedback about the discussion part
14) Deciding on the style of writing references
15) Submitting the thesis
16) Thesis defense

Sources

Course Notes / Textbooks:
References: yok

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 1 % 10
Project 1 % 90
Total % 100
PERCENTAGE OF SEMESTER WORK % 10
PERCENTAGE OF FINAL WORK % 90
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 16 3 48
Laboratory 5 15 75
Field Work 5 20 100
Presentations / Seminar 3 15 45
Homework Assignments 15 30 450
Paper Submission 3 12 36
Total Workload 754

Contribution of Learning Outcomes to Programme Outcomes

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.