Cal week 

 Lecture 

 Topic 

 Part in book 

 12

 L1 21/3

 Information measures  

 3.1 – 3.2

 L2 22/3

 Properties of information measures 

 3.2 – 3.3

 E1 24/3

 (2.1 – 2.4, 2.8 – 2.11), 3.3 – 3.10, 3.13 – 3.15

 13

 L3 28/3

 Optimal source coding and Kraft inequality

 4.1 – 4.3

 L4 29/3

 Huffman coding

 4.3

 E2 31/4

 4.1 – 4.8, 4.11

 14

 L5 3/4

 Information measures for processes

 3.4

 E3 4/4

 3.18 – 3.21

 15 – 16

 Eastern and Re-exam period

 17

 L6 25/4

 LZ codes

 5.3

 L7 27/4

 Two important theorems

 6.1 – 6.4

 E4 28/4

 5.3, 5.5 – 5.7, 6.1 – 6.3

 18

 L8 2/5

 Capacity for DMC

 6.4 – 6.5

 L9 3/5

 Channel coding

 7.1 – 7.2

 E5 5/5

 6.5 – 6.10, 6.12a, 7.1 – 7.3

 19

 L10 9/5

 Information measures for continuous variables

 8.1 – 8.2

 L11 10/5

 Gaussian channel

 9.1 – 9.3

 E6 12/5

 8.1, 8.2, 8.5 – 8.10, 9.2 – 9.4

 20

 L12 16/5

 Parallel Gaussian channels, OFDM and MIMO

 9.2 – 9.3

 L13 17/5

 Discrete input Gaussian channel

 10.1 – 10.4

 E7 17/5

 9.5 – 9.8, 9.10, 10.1 – 10.3, 10.5, 10.6, 10.8, (10.7)

 21

Study week

 22

 Exam week (29/5 – 2/6)