Upon successful completion of this course, the student will be able to:

• Critically assess major algorithms, function classes, and their convergence properties;

• Integrate existing theoretical analysis with new concepts and algorithmic variants;

• Develop scalable and accurate implementations of optimization algorithms for machine learning applications.