MVE055 / MSG810 Mathematical statistics and discrete mathematics Autumn 20

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Kurs-PM

På denna sida finns programmet för kursen: föreläsningar, räkneövningar och inlämningsuppgifter Links to an external site.. Övriga uppgifter, såsom t.ex. kursmål, lärare, kurslitteratur, examination och gamla tentor finns i ett separat kurs-PM.

Exam
Link Exam 27 October 2020 8.30-12.30

Program

Kursens schema finns i TimeEdit Links to an external site..

Lecturer: Moritz Schauer Link Links to an external site.
The lectures will be given in English. The course uses Zoom (see below) for the time being. 
The first lecture will be given live an introduce both the course and the basics of probability.
The slides (in English) will follow the Swedish language slides of the previous years and be published with the slides.

Lectures (Zoom)

Screen cast of past lectures: https://chalmersuniversity.box.com/s/s6mlvunotuifm4t0tx4j1dpqip640srm Links to an external site.

 
Moritz Schauer is inviting you to a scheduled Zoom meeting.

Topic: MSG810GU/MVE055
Time: recurring meeting

Join from PC, Mac, Linux, iOS or Android: https://chalmers.zoom.us/j/63883534834 Links to an external site.
Password: 158826

Or iPhone one-tap :
Sweden: +46850500828,,63883534834# or +46850500829,,63883534834#
Or Telephone:
If you have problems with +46 7 6692 0434 in Sweden please dial +46 8 4468 2488 instead.
Dial(for higher quality, dial a number based on your current location):
Sweden: +46 8 5050 0828 or +46 8 5050 0829 or +46 8 5052 0017 or +46 850 539 728 or +46 8 4468 2488 or +46 8 5016 3827

Meeting ID: 638 8353 4834
Password: 158826
International numbers available: https://chalmers.zoom.us/u/cdMqLpnyt4

Or an H.323/SIP room system:
H.323: 109.105.112.236 or 109.105.112.235
Meeting ID: 638 8353 4834
Password: 158826

SIP: 63883534834@109.105.112.236 or 63883534834@109.105.112.235
Password: 158826

Föreläsningar

Download errata.pdf

Dag Avsnitt Innehåll Slides Old Slides
Måndag 31/8
 (MA) Kap. 1-2 Grundläggande sannolikhetsteori Download Lecture 1 (1+2) Download lecture1
Ons 2/9 (MA) Kap. 3.1-3.5 Bayes sats & diskret stokastik variabel

Download Lecture 2 (3)

 Download lecture2
Mån 7/9 (MA) Kap 4.1,4.2,4.4,4.6 Kontinuerlig stokastisk variabel  Download Lecture 3 (4)  Download lecture3
Ons 9/9 (MA) Kap 3.6-3.8, 4.3 Negativ Binomial, hypergeometrisk, Poisson,  chi-kvadrat, exponentiell Download Lecture 4 (5) Download lecture4
Mån 14/9

(MA) Kap.5.1-5.4

 Gemensam fördelningsfunktion Download Lecture 5 (6) Download lecture5
Ons 16/9

(GS) Kap.11.1-11.2

Markovkedjor

Download Lecture 6 (7)
markovchains.jl Download markovchains.jl

Download lecture6

 
Mån 21/9 (MA) Kap 6.1, 6.3, 6.4, 7.1+Exempel 7.3.2 och Sats 7.3.4 Deskriptiv statistik. Punktskattning Download Lecture 7 (8) Download lecture7
Ons 23/9 (MA) Kap 7.4,8.1,8.2 Intervallskattning. Centrala gränsvärdessatsen Download Lecture 8 (9) Download lecture8 
Mån 28/9 (MA) Kap 8.3-8.5 Hypotestesting Download Lecture 9 (10) Download lecture9
Ons 30/10 (MA) Kap 9.1-9.3 Skattning av proportioner. Download Lecture 10 (11)
Link Links to an external site. to program		 Download lecture10
Mån 5/10 (MA) 10.1,10.3 Att jämföra väntevärden

Download Lecture 11 (12)

Download lecture11
Tis 6/10 (EG) Kap 6.4,6.6 Generande funktioner Scripts
Download Generating functions 		Download Generating functions
Ons 7/10

(MA) Kap 3.4, 7.3

(GS) Kap 8

Momentgenerande funktioner.

Chebyshev's olikhet.Stora talens lag

Scripts:
Download Mgf

Download Law of l

Download arge numbers

Download Mgf

Download l

Download arge_num

 
Mån 19/10 (MA) Kap 11.1-11.3 Regressionsanalys Download Lecture 13 (14) Download lecture13
Tis 20/10
Ons 21/10

 

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Rekommenderade övningsuppgifter 

Download facit (MA).pdf

Download facit (GS).pdf

Download Solution (A).pdf

Download Answers_GS_ch11.1-2.pdf

Download Facit jämna

Download Extra Exercices - Download Solution

Dag Uppgifter
Tis 1/9 (MA) Kapitel 1: 1,3,5,7,11,13,14,19,21,23,26,32,33,35,36
Tors 3/9 (MA) Kapitel 2: 2,3,5,7,9,11,13,15,18,19,21,23,26,27,32,33,35,37,38,40
Tis 8/9 (MA) Kapitel 3: 7,9,14,20,21(acdg),24,25,35,36(abcde),41,42,43(bcd)
Tors 10/9 (MA) Kapitel 4: 1,3, 5,6,9,13,15,21,39,41,42,52,73,82,85(bcd)
Tis 15/9

(MA) Kapitel 3: 47, 57, 62, 63, 64, 76,79,80

(MA) Kapitel 4: 35, 37, 87(a-d)
Tors 17/9 (MA) Kapitel 5: 1,3,5,15,16,20,25,26,29
Tis 22/9 (GS) Kapitel 11.1: 1,2,8,9,11,19
(GS) Kapitel 11.2: 1,2,3,19
Ons 23/9

(MA) Kapitel 6: 17,23,24(bcd),28(bcd)

(MA) Kapitel 7: 1,5,6
Tis 29/09 (MA) Kapitel 7: 47,49,53,56,64
(MA) Kapitel 8: 1(bcde),2,3,5,10,11,13,15,17
Ons 30/9 (MA) Kapitel 8: 21,32,37,41,58(cde),59(abd),62
Tis 6/10 (MA) Kapitel 9: 1,2,3,5,6,11,13,15,17,19,33,35
Ons 8/10 MA) Kapitel 10: 1,2,4,13(bcd),14(bcd), 15(bcd) (assume equal variances in 13,14,15)
(EG) 6.18, 6.19(abc)
(A) Section 13.3: 1,3,7,11,13,25,31,35
Tis 13/10

(A) Section 13.2: 1,3,5,7,11,14,19,21,23,25,29

(MA) 3.32, 7.38, 7.39, 7.40,7.46
Ons 14/10 (GS): Section 8.1: 1,5,10
(GS): Section 8.2: 1,4,5
Tis 20/10 (MA) Kapitel 11: 7,10,11,12,19-22

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Inlämningsuppgifter

I kursen finns tre obligatoriska inlämningsuppgifter. Dessa görs i grupper på 2-4 personer och lämnas in via Canvas, sign up here https://chalmers.instructure.com/courses/10118/groups . 

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Course summary:

Date Details Due
Wed, 7 Oct 2020 Assignment Skiplist due by 23:59
Sun, 18 Oct 2020 Assignment Statistical Investigation due by 23:59
Tue, 27 Oct 2020 Assignment Exam 27 October 2020 8.30-12.30 due by 13:00
Assignment Page rank due by 23:59