The lecture schedule:                   Expected        Held          Lecture

January 5	:  1 hour lecture held    1               1           History
January 9	:  lecture not held       2               1           -
January 11	:  lecture not held       3               1           -
January 12	:  1.5 hr lecture held    4               2.5         History + Set Theory
January 14	:  1.5 hr lecture held    -               4           Set Theory
January 16	:  lecture not held       5               4           -
January 17	:  lecture not held       6               4           -
January 19	:  1.5 hr lecture held    7               5.5         Set Theory + Computability
January 23	:  lecture not held       8               5.5         _
January 24	:  lecture not held       9               5.5         _
January 28	:  1.5 hr lecture held    -               7           Computability Theory
January 29	:  1 hr lecture held      -               8           Plain KC
January 30	:  1 hr lecture           10              9           Plain KC
February 1	:  1 hr lecture           11              10          Plain KC	
February 2	:  -- official leave--    12              10  (-2)    - 

--------------------------------------------------------------

February 6	:  lecture                13              11          Self-delimiting KC
February 8	:  lecture                14              12          Self-delimiting KC
February 9	:  lecture                15              13          Self-delimiting KC

February 10     :  extra lecture          -               14  (-1)    Self-delimiting KC

February 13	:  lecture                16              15          Self-delimiting KC
February 15	:  lecture                17              16          Self-delimiting KC
February 16	:  lecture                18              17          Self-delimiting KC : Ample Excess Lemma (Miller-Yu, 2007)

------------------ Midsem week --------------------------------
 
February 27	:  lecture                19              18          Information Theory: Basics
March    1	:  lecture                20              19          Information Theory: Basics
March    2	:  lecture                21              20          Information Theory: Basics

------------------ Midsem break -------------------------------

March  13	:  lecture                22              21          Applications to Probability Theory [Runs]
March  15	:  lecture                23              22          Applications to Probability Theory [Weak Law of Large Numbers]
March 17	:  lecture                24              23          Applications to Probability Theory [Motivating Strong Law of Large Numbers]

March 20	:  lecture                25              24          Martin-Löf randomness via martingales [introduction]
March 22	:  lecture                26              25          Martin-Löf randomness [definition]
March 23	:  lecture                27              26          Martin-Löf randomness

March 24        :  extra lecture          _               27 (v)      Ville's argument against von Mises
 
March 27	:  lecture                28              28          Counterexample to Ville's argument
March 29	:  lecture                29              29          Kučera-Gàcs Theorem
March 30	:  lecture                30              30          Kučera-Gàcs Theorem

Apr 3		:  lecture                31              31          Kučera-Gàcs Theorem
Apr 5		:  lecture                32              32          Relative randomness, statement of van Lambalgen's theorem
Apr 6		:  lecture                33		  33	      van Lambalgen's Theorem
    
Apr 10		:  lecture                34		  34	      van Lambalgen's Theorem
Apr 12		:  lecture                35              35          Pass-Liu 2022
Apr 13		:  lecture                36              36          Pass-Liu 2022