To teach fundamentals of machine learning and artificial intelligence and provide students with capability of using this knowledge for pattern recognition.
Students completing this course successfully;
I. Will know the differences between shallow/deep, parametric/non-parametric, supervised/unsupervised machine learning algorithms.
II. will know theoretical base of frequently used algorithms and will be able to use them in applications
III. will be able to choose the appropriate algorithm according to the aim and data type.
IV. will be able to perform shallow and deep learning algorithm applications by Python scikitlearn libraries.
Ön Koşullar
Eş Koşullar
Özel Koşullar
Öğretim Üyeleri
Asistanlar
Ders Gün,Saat ve Yeri
Görüşme Saatleri ve Yeri
Öğretim Yöntem ve Teknikleri
Temel Kaynaklar
Diğer Kaynaklar
Haftalık Ders Programı
Hafta
Dersin İçeriği
Öğretim Yöntem ve Teknikleri
1. Hafta
2. Hafta
3. Hafta
4. Hafta
5. Hafta
6. Hafta
7. Hafta
8. Hafta
9. Hafta
10. Hafta
11. Hafta
12. Hafta
13. Hafta
14. Hafta
15. Hafta
16. Hafta
17. Hafta
Değerlendirme Ölçütleri
Ölçüt Tipleri
Adet
Yüzdesi(%)
Program Çıktıları
PÇ-1
Having basic theoretical knowledge about business
PÇ-2
Able to have interest, curiosity and research competence by using the information learned during his education,
PÇ-3
Having an interdisciplinary and inquisitive approach to business problems, being able to integrate quantitative and qualitative data with mathematical and statistical models, and having analytical thinking ability,
PÇ-4
Able to see businesses as a whole based on a system approach, have knowledge of defining, designing and modeling business problems, use the latest technologies and interpret the results obtained,
PÇ-5
Able to understand changes in environmental conditions to ensure long-term corporate sustainability; Able to develop corporate, business and functional strategies that adapt to the environment; Able to implement and control strategies,
PÇ-6
As a leader and team member, being prone to group work, being able to take responsibility proactively, and being able to take initiative in solving technical and managerial problems that require high-level equipment,
PÇ-7
Able to synthesize theoretical and practical knowledge in the field of business by using at least one foreign language at an advanced level, verbally and in writing, and successfully manage communication in businesses,
PÇ-8
Able to develop and use skills for social relations such as effective oral and written communication, empathy and listening skills, relationship management and persuasion skills, negotiation skills,
PÇ-9
Research for the business management discipline produces graduates who can effectively use advanced computer programs preferred in fields such as accounting, finance, human resources, production and project management.