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Schedule
 AY2023/24 Semester 1
Week Date Lecture Topics Probem Solving Topics Assignment Project Milestone
0 7 Aug (No lecture) Self Assessment      
1 14 Aug Orientation
Linear Fitting
      
2 21 Aug Matrix Differentiation
Nonlinear Fitting		      
3 28 Aug Spatial Transformations Problem Formulation 0 Assignment 1 M0: Form
project team
4 4 Sep Non-rigid Transformations Problem Formulation 1  
5 11 Sep Registration Problem Formulation 2 Assignment 2  
6 18 Sep Temporal Registration Problem Formulation 3   M1: Project proposal
  25 Sep Recess Week      
7 2 Oct Algorithm Design 0 Algorithm Design 1 Assignment 3 (optional)
Project discussion
8 9 Oct Optimization 1: Gradient Descent Algorithm Design 2    
9 16 Oct Optimization 2: Optimization Without Gradient Algorithm Design 3   M2: Interim project report
10 23 Oct Optimization 3: Constrained Optimization   Assignment 4  
11 30 Oct Robust Methods     Project
discussion
12 6 Nov Principal Component Analysis   Assignment 5  
13 13 Nov (No lecture) Self Study     M3: Final project
presentation

Notes:
Each week starts on Monday morning and ends on Sunday midnight.
Lectures are conducted from 6:30pm to 9:30pm on Tuesday in ...
    First two hours are main lectures that cover foundational topics and algorithms.
    Third hour covers problem solving, which will be practised in group project.
There is no tutorial, lab session and final assessment.
Assignments are due on Sunday midnight.
Project milestones are typically due on Sunday midnight, unless announced otherwise.
Please refer to Canvas CS5240 for lecture notes and more details.

23 May 2023