; Short course on Optimization for Communications & Machine Learning
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Day 1

9:00 am-11:00 amBackground & Motivation, Convex Sets
11:00 am-11:30 amTea break
11:30 am-1:00 pmConvex functions
2:30 pm-4:00 pmConvex problems
4:00 pm-4:30 pmTea Break
4:30 pm-6:00 pmDuality & KKT Conditions

Day 2

9:00 am-11:00 amApplications: Energy harvesting
11:00 am-11:30 amTea break
11:30 am-1:00 pmApplications: Power control in wireless systems using geometric programming
2:30 pm-4:00 pmApplications: Compressed Sensing
4:00 pm-4:30 pmTea Break
4:30 pm-6:00 pmOptimization algorithms

Day 3

8:30 am-9:30 amApplications: Signal processing with MATLAB
9:30 am-11:00 amApplications: Energy-efficienct wireless system design using fractional programming
11:00 am-11:30 amTea break
11:30 am-1:00 pmApplications: convex optimization for machine learning
2:00 pm-3:00 pmApplications: Beam forming in MIMO wireless systems
3:30 pm-4:30 pmApplications: Multiuser communications
4:30 pm-Tea break (end)