| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits | Last Updated Date |
| 1 | AIN101 | Freshman Seminar | 1+0+0 | 1 | 2 | 06.09.2024 |
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Language of Instruction
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English
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Level of Course Unit
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Bachelor's Degree
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Department / Program
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ARTIFICIAL INTELLIGENCE ENGINEERING
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Type of Program
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Formal Education
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Type of Course Unit
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Compulsory
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Course Delivery Method
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Face To Face
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Objectives of the Course
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To provide students with the opportunity to gain insight on the most popular technological subjects for artificial intelligence.
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Course Content
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The student has to attend to a number of technology seminars that will be organized by the department. The subject of the seminars will be determined based on current technological agenda on artificial intelligence. Seminars will cover principles and applications of artificial intelligence, machine learning, statistics and probability, security, image processing, robotics and medicine. The presenters might be either internal or external (e.g. from the industry) to the department.
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Course Methods and Techniques
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One-hour scientific and technological talks on artificial intelligence given by academicians.
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Prerequisites and co-requisities
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None
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Course Coordinator
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None
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Name of Lecturers
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Prof. Suat Özdemir
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
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Resources
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Specific to the seminar
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Course Notes
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Specific to the seminar
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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
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In-Term Studies
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Attendance
|
14
|
%
50
|
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Final examination
|
1
|
%
50
|
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Total
|
15
|
%
100
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ECTS Allocated Based on Student Workload
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Activities
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Total Work Load
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Course Duration
|
14
|
2
|
28
|
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Hours for off-the-c.r.stud
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10
|
3
|
30
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General Exam Preparation
|
1
|
2
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2
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Total Work Load
| |
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Number of ECTS Credits 2
60
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Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
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1
| Öğrenci yapay zeka ve uygulama alanları ile ilgili güncel teknolojik ve bilimsel konular hakkında genel bilgisi olmalıdır. |
|
2
| |
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3
| |
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4
| |
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5
| Students will be able to have some scientific and technological information about the most popular topics in artificial intelligence and its applications. |
|
6
| |
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7
| |
|
8
| |
Weekly Detailed Course Contents
| Week | Topics | Study Materials | Materials |
| 1 |
Seminar 1
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| 2 |
Seminar 2
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| 3 |
Seminar 3
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| 4 |
Seminar 4
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| 5 |
Seminar 5
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| 6 |
Seminar 6
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| 7 |
Seminar 7
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| 8 |
Seminar 8
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| 9 |
Seminar 9
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| 10 |
Seminar 10
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| 11 |
Seminar 11
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| 12 |
Seminar 12
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| 13 |
Seminar 13
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| 14 |
Seminar 14
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| 15 |
Preparation for Final Exam
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| 16 |
Final Exam
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Contribution of Learning Outcomes to Programme Outcomes
|
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All
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C1
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C2
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C3
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C4
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C5
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C6
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C7
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C8
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Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant
https://bilsis.hacettepe.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=2687718&lang=en