Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
7AIN400Internship II0+4+02512.08.2025

 
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program ARTIFICIAL INTELLIGENCE ENGINEERING
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course The main aim of the intership is to introduce student with the working environment and to apply his acquired knowledge at this working environment.
Course Content Project
Course Methods and Techniques Project Design/Management
Prerequisites and co-requisities ( BBM104 ) and ( BBM102 )
Course Coordinator None
Name of Lecturers Asist Prof.Dr. Burak Kürkçü
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources yok
Course Notes Yok


Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Attendance 20 % 40
Project 1 % 60
Total
21
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 20 6 120
Project 1 30 30
Total Work Load   Number of ECTS Credits 5 150

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 At the end of the internship, the student will implement a project and work in an organization.
2
3
4
5
6
7
8

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction to the Project
2 Project
3 Project
4 Writing the Project Report

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
All 3 5 3 5 3 4 4 4 2 3 1 1
C1
C2
C3
C4
C5
C6
C7
C8

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant

  
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