APMTH 121 - Introduction to Optimization: Models and Methods Learning Course

[APMTH 121 - Introduction to Optimization: Models and Methods Learning Course] APMTH 121 - Introduction to Optimization: Models and Methods: APMTH 121 introduces fundamental concepts and methods in optimization theory and their applications in various disciplines. Topics include linear programming, integer programming, nonlinear optimization, and convex optimization. The course covers algorithms such as simplex method, gradient descent, and interior-point methods. Applications include resource allocation, production planning, portfolio optimization, and machine learning. Through theoretical study and practical exercises using optimization software, students learn to formulate and solve optimization problems, understand the trade-offs between different methods, and apply optimization techniques to real-world scenarios. This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.