Teaching
Teaching is not just a profession for me; it's a passion that fuels my desire to inspire and empower the next generation of technologists. My commitment to education is evident in the subjects I teach, particularly the Mathematical Basis of Deep Neural Networks and Applied Deep Learning. These topics are the cornerstone of modern artificial intelligence, and I relish the opportunity to break down complex concepts and make them accessible to students. Whether it's discussing the foundational principles behind neural networks or exploring real-world applications, I strive to cultivate a dynamic learning environment where students can engage deeply with the material and unleash their creativity.
In addition to these core subjects, I am deeply invested in guiding students through advanced topics like State-of-the-Art Applications of Deep Neural Networks and Advanced Deep Network Development. These courses not only expand students' technical skills but also encourage critical thinking and innovation. As an educator, my goal is not just to impart knowledge but to foster a deeper understanding of the subject matter and instill a sense of curiosity that extends beyond the classroom. Through hands-on projects, collaborative discussions, and mentorship, I aim to equip students with the tools they need to thrive in the ever-evolving field of artificial intelligence.
| Academic Year/Semester | Course Code | Course Name |
|---|---|---|
| 2019/20/1 | IPM-18sztKVMNG IPM-18AUTADLEG |
Mathematical basis of deep neural networks L. Applied Deep Learning Pr. |
| 2020/21/1 | IPM-18sztKVMNG IPM-18AUTADLEG |
Mathematical basis of deep neural Networks L. Applied Deep Learning Pr. |
| 2020/21/2 | IPM-18sztKVMNG IPM-19fmiAMLEG |
Mathematical basis of deep neural networks L. Advanced Machine Learning Pr. |
| 2021/22/1 | IPM-18sztKVMNG IPM-18sztKVMNAG |
Mathematical basis of deep neural networks L. State-of-the-art applications of deep neural networks Pr. |
| 2021/22/2 | IPM-18sztKVMNG IPM-18sztKVMNAG |
Mathematical basis of deep neural networks L. State-of-the-art applications of deep neural networks Pr. |
| 2022/23/1 | IPM-22fmiAMLEG | Advanced Deep Network Development L.+Pr. |
| 2022/23/2 | IPM-22fmiAMLEG | Advanced Deep Network Development L.+Pr. |