This course is focused on developing the fundamental tools/ techniques in modern optimization as well as illustrating their applications in diverse fields such as Wireless Communication, Signal Processing, Machine Learning, Big-Data and Finance. Various topics will be covered in different areas such as; Wireless: MIMO/ OFDM systems, Beamforming, Cognitive Radio and Cooperative Communication; Signal Processing: Signal Estimation, Regularization, Image Reconstruction; Compressive Sensing: Sparse estimation, OMP, LASSO techniques; Machine Learning: Principal Component Analysis (PCA), Support Vector Machines (SVM); Big-Data: Recommender systems, User-rating prediction, Latent Factor Method; Finance: Financial models, Portfolio Optimization.
The course is suitable for all UG/PG students and practicing engineers/ scientists/ managers from the diverse fields mentioned above and interested in learning about the novel cutting edge applications of modern optimization technology.
-Students in Electrical Engineering, Electronics and Communication Engineering, Mathematics, Economics, Computer Science
-Technical and Non-technical managers of Telecomm companies
-Students preparing for Competitive Exams with focus on Wireless Communication, Signal Processing
- Students pursuing projects or research in Optimization and Wireless Communication
Core course for students in Electronics and Communication Engineering streamUG/PG:
UG and PGPREREQUISITES:
Basic knowledge of Calculus, Probability, MatricesINDUSTRY SUPPORT:
Most companies in Electronics, Communication and Signal Processing. Examples are Qualcomm, Broadcom, Intel, MediaTek, Samsung etc. Companies in Machine Learning, AI, Big-Data and Finance will also find the content useful