Covers computer architecture fundamentals:

• Introduction to computer memory (SRAM, DRAM) and computer arithmetic 
• Introduction to VLSI design
• Pipelines and data hazards
• Branch prediction 
• Cache memories 
• VLIW and superscalar 
• Out of order execution 
• Multithreading 
• Virtual memory, TLB, page tables
• Cloud computing
• DRAM design
• GPU design

The course comprises 

• Three-hour lecture a week
• A practical
• Several home works (3-5)
• A final exam

Dedicated to advanced topics in computer architecture, typically focusing on

• Recent trends in chip design and computer architecture 
• Post von Neumann computer architecture 
• Domain specific accelerators
• Emerging memory technologies (ReRAM, MRAM, FeFET)
• Processing in- and using-memory (in DRAM, SRAM and other memory infrastructures) 
• Hardware Acceleration of AI
  • Deep learning
  • Models and datasets
  • Core computations
  • AI arithmetic operations 
  • Sparsity and quantization 
  • Hardware accelerators

This course typically comprises 

• Frontal lectures
• Practicals
• Student presentations  
• Homework (paper review + presentation or a small development project)

This is an annual course for postgraduate students with the following themes:

• Frontal presentations where participants present their research work. The ability to present one's work is a critical skill which is not taught enough. This is your chance to train and perfect this trade. 
• Guest lectures by industry specialists (technical and commercial).
• Lectures by faculty members.
• Entrepreneurship in computer engineering.
• Other subjects covering recent trends in computer engineering (industry and academic).