Week/Day  Lecture/Exercise session 
Preliminary Contents 

w35(1) 

Mon. 29 Aug. 13:15  16:00 
Lecture Room HC2 
Introduction to the course
Basic definitions and probability laws (MA) Chapters 1, 2 
Tue. 30 Aug. 10:00  11:45 
Exercise session Rooms ML11, ML12 
(MA) Chapters 1, 2 
Wed. 31 Aug. 10:00  11:45 
Lecture Room HC2 
Discrete random variables (MA) Chapters 3.1  3.5 
Thu. 1 Sep. 10:00  11:45 
Exercise session Rooms ML2, ML3 
(MA) Chapters 3.1  3.5 
w36(2) 

Mon. 5 Sep. 13:15  15:00 
Lecture Room HC2 
Continuous random variables (MA) Chapters 4.1, 4.2, 4.4  4.6 
Tue. 6 Sep. 10:00  11:45 
Exercise session Rooms ML11, ML13 
(MA) Chapters 4.1, 4.2, 4.4  4.6 
Wed. 7 Sep. 10:00  11:45 
Lecture Room HC2 
Joint probability distributions (MA) Chapters 5.1  5.3 
Thu. 8 Sep. 10:00  11:45 
Exercise session Rooms ML11, ML13 
(MA) Chapters 5.1  5.3 
w37(3) 

Mon. 12 Sep. 13:15  15:00 
Lecture Room HC2 
Introduction to Markov chains (GS) Chapter 11.1 
Tue. 13 Sep. 10:00  11:45 
Exercise session Rooms ML11, ML13 
(GS) Chapter 11.1 
Wed. 14 Sep. 10:00  11:45 
Lecture Room HC2 
Introduction to Poisson processes (MA) Chapters 3.8, 4.3 
Thu. 15 Sep. 10:00  11:45 
Exercise session Rooms ML3, ML4 
(MA) Chapters 3.8, 4.3 
w38(4) 

Mon. 19 Sep. 13:15  15:00 
Lecture Room HC2 
Estimation and confidence intervals, central limit theorem (MA) Chapters 6.1, 6.3, 7.1, Theorem 7.3.4, 7.4, 8.1, 8.2 
Tue. 20 Sep. 10:00  11:45 
Exercise session Rooms EL42, ML13 
(MA) Exercises 7.47, 7.48, 7.49, 7.53, 7.55, 7.56, 8.23, 8.24 
Wed. 21 Sep. 10:00  11:45 
Lecture Room HC2 
Confidence intervals (continued), introduction to statistical tests (MA) Chapters 6.1, 6.3, 7.1, Theorem 7.3.4, 7.4, 8.1, 8.2 
Thu. 22 Sep. 10:00  12:00 
Exercise session Rooms EL41, EL43 
(MA) Chapters 6.1, 6.3, 7.1 
w39(5) 

Mon. 26 Sep. 13:15  15:00 
Lecture Room HC2 
Inferences on proportions (MA) Chapters 9.1, 9.3 
Tue. 27 Oct. 10:00  11:45 
Exercise session Rooms ML13, ML14 
(MA) Chapters 9.1, 9.3 
Wed. 28 Sep. 10:00  11:45 
Lecture Room HC2 
Comparing two means (MA) Chapters 10.1, 10.3, 10.4 
Thu. 29 Sep. 10:00  11:45 
Exercise session Rooms ML2, ML3 
(MA) Chapters 10.1, 10.3, 10.4 
w40(6) 

Mon. 3 Oct. 13:15  15:00 
Lecture Room HC2 
Moment generating function (MA) Chapters 3.4 (m.g.f. sec.) 
Tue. 4 Oct. 10:00  11:45 
Exercise session Rooms ML13, ML14 
(MA) Chapters 3.4 
Wed. 5 Oct. 10:00  11:45 
Lecture Room HC2 
law of large numbers (MA) Chapters 7.3 (GS) Chapter 8 
Thu. 6 Oct. 10:00  11:45 
Exercise session Rooms ML11, ML12 
TBA 
w41(7) 

Mon. 10 Oct. 13:15  15:00 
Lecture Room HC2 
Linear regression (MA) Chapters 11.1, 11.2, 11.3 
Tue. 11 Oct. 10:00  11:45 
Exercise session Rooms ML11, ML12 
(MA) Exercises 3.32, 3.34 (GS) Exercises 8.1.4, 8.1.8, 8.2.1, 8.2.2, 8.2.10 
Wed. 12 Oct. 10:00  11:45 
Lecture Room HC2 
Introduction to nonparameteric tests (MA) Chapter 10.6 
Tue. 13 Oct. 10:00  11:45 
Exercise session Rooms EL41, EL43 
(MA) Chapter 10.6 
w42(8) 

Mon. 17 Oct. 13:15  15:00 
Lecture Room HC2 
TBA

Tue. 18 Oct. 10:00  11:45 
Exercise session Rooms FL71, FL72 
(MA) Chapter 10.6 
Wed. 19 Oct. 10:00  11:45 
Lecture Room HC2 
Consultation

w43(9) 

Tue. 25 Oct. 
Written Exam 

Week  Theme  Exercises 

35(1) 
Interpreting probabilities (MA 1.1) Sample spaces and events (MA 1.2) Permutations and combinatorics (MA 1.3) Axioms of probability (MA 2.1) Conditional probability (MA 2.2) Independence of the multiplication rule (MA 2.3) Bayes' theorem (MA 2.4) Dicrete probability densities (MA 3.2) Expectation and distribution parameters (MA 3.3) Geometric distribution (MA 3.4) Binomial distribution (MA 3.5) 
1.4 1.5, 1.6, 1.7 1.11, 1.12, 1.13, 1.14, 1.21, 1.24, 1.27 2.3, 2.4, 2.5, 2.6, 2.11 2.13, 2.14, 2.16, 2.39 2.19, 2.26, 2.40 2.36, 2.41 3.7, 3.9, 3.10, 3.13 3.14, 3.16, 3.17, 3.20, 3.21 3.24(abc), 3.31 3.41, 3.42 
36(2) 
Continuous densities (MA 4.1) Expectation and distribution parameters (MA 4.2) Normal distribution (MA 4.4) Normal probability rule and Chebyshev's inequality (MA 4.5) Normal approximation to the binomial distribution (MA 4.6) Joint densities and independence (MA 5.1) Expectation and covariance (MA 5.2) Correlation (MA 5.3) 
4.1, 4.3, 4.5, 4.6, 4.9, 4.12, 4.71 4.15, 4.17, 4.18, 4.19, 4.22, 4.70 4.41, 4.43 4.47, 4.48, 4.49 4.52, 4.57 5.1, 5.3, 5.5, 5.9, 5.12 5.16, 5.21, 5.24, 5.25, 5.26 5.29, 5.30, 5.33 
37(3) 
Markov chains (GS 11.1) Absorbing markov chains (GS 11.2) Poisson distribution (MA 3.8) Exponential distribution (MA 4.3) 
11.1.1, 11.1.8, 11.1.9, 11.1.10, 11.1.19 11.2.1, 11.2.2, 11.2.3 3.47, 3.48 4.34, 4.35, 4.36, 4.37 
38(4) 
Random sampling (MA 6.1) Sample statistics (MA 6.3) Distribution of sample mean (MA 7.3) Interval estimation and central limit theorem (MA 7.4) Interval estimation of variability (MA 8.1) Estimating the mean and the Student's tdistribution (MA 8.2) Hypothesis testing (MA 8.3) 
6.1, 6.4 6.17, 6.24 (b, c, d, e) 7.44, 7.45, 7.46 7.49, 7.50 8.1, 8.2, 8.3, 8.5 8.10, 8.12, 8.13, 8.17 8.21, 8.24 
39(5) 
Estimating proportions (MA 9.1) Comparing two proportions (MA 9.3) Point estimation: independent samples (MA 10.1) Comparing means: variance equal (MA 10.3) Comparing means: variance unequal (MA 10.4) 
9.1, 9.2, 9.4, 9.8 9.19, 9.20, 9.21, 9.23 10.1, 10.3, 10.4 10.12, 10.14, 10.16, 10.17, 10.18, 10.19 10.21, 10.23, 10.24, 10.26, 10.28 
40(6) 
Moment generating function (MA 3.4) Distribution of sample mean (MA 7.3) 
3.31, 3.35 7.38, 7.45 
41(7) 
Model and parameter estimation (MA 11.1) Properties of leastsquares estimators (MA 11.2) Confidence interval estimation (MA 11.3) Alternative nonparametric methods (MA 10.6) 
11.1, 11.7, 11.10 11.11, 11.12 11.16, 11.20, 11.23 10.37, 10.38, 10.39 
Assignment 
Deadline 
Email subject 

Mon. 19 Sep. 
MVE055, 2016, Assignment 1 

Assignment 2  Mon. 3 Oct. 
MVE055, 2016, Assignment 2 
Assignment 3, Wine_data  Mon. 17 Oct 
MVE055, 2016, Assignment 3 
20161025 


20141028 

20140827 

20140113 
Solution 

20131022 
Solution 

20130828 

20130115 
Solution 

20121020 

20120111 

20111018 