| Code - Course Title |
YZM3005 - Introduction to Optimization Theory |
| Course Type |
Required Courses |
| Language of Instruction |
İngilizce |
| Laboratory + Practice |
3+2 |
| ECTS |
6.0 |
| Course Instructor(s) |
DOKTOR ÖĞRETİM ÜYESİ NİHAL İNCE |
| Mode of Delivery |
This course is offered exclusively in an in-person format. |
| Prerequisites |
There are no prerequisites or co-requisites for this course. |
| Courses Recomended |
There are no other recommended courses related to this one. |
| Required or Recommended Resources |
Boyd, S., & Vandenberghe, L. (2004). Convex Optimization. Cambridge University Press. Nocedal, J., & Wright, S. J. (2006). Numerical Optimization (2nd ed.). Springer. Deisenroth, M. P., Faisal, A. A., & Ong, C. S. (2020). Mathematics for Machine Learning. Cambridge University Press. Kiusalaas, J. (2013). Numerical Methods in Engineering with Python 3. Cambridge University Press. |
| Recommended Reading List |
Boyd, S., & Vandenberghe, L. (2004). Convex Optimization. Cambridge University Press. Nocedal, J., & Wright, S. J. (2006). Numerical Optimization (2nd ed.). Springer. Deisenroth, M. P., Faisal, A. A., & Ong, C. S. (2020). Mathematics for Machine Learning. Cambridge University Press. Kiusalaas, J. (2013). Numerical Methods in Engineering with Python 3. Cambridge University Press. |
| Assessment methods and criteria |
1 midterm exam, 1 project, 1 final exam |
| Work Placement |
This is not suitable for this class. |
| Sustainability Development Goals |
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