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## CIS 2033: Introduction to Computational Probability and Statistics, Section 004

## Professor

## Teaching assistant (section 003)

## Assignments Policy

### Lab Assignments

### Homework Assignments

## Lab Materials

## Homework and Lab Assignments

## Textbook

### Main textbook:

### Reference textbooks:

Dr. Richard Beigel

**Office:** 312 SERC**E-mail:** richard.beigel@temple.edu**Web page: **Dr. Richard Beigel

Djordje (George) Gligorijevic

**Office:** 334 SERC**Office phone:** +1 215 204 5376**E-mail:** gligorijevic@temple.edu

**Office hours for Fall 2016:**

- Wednesday: 11:00am-1:00pm

You will be given several assignments. These should be submitted to Teaching assistant directly or via email in a timely fashion. Assignments should be submited each week before (or at the beggining) the labs by the **due date** for the respective assignment.

There will be approximately **5** Lab assigments for which you will be given **1-2 weeks** to complete and each will be worth 10 points. Lab assignments will include everything that was covered before the last lab assignment.

Late submissions of homework are not allowed! However, individual exceptions will only be granted in the rarest of circumstances. Appeals to accept late homework should be directed by email to the instructor, and should typically be accompanied by appropriate documentation (e.g. doctor’s note).

Unless otherwise specified, homework may not be done in groups

Homework problems will be discussed on the labs on the day the homework was due. It is highly recommended to take notes during homework discussion as you will not have your homework with you.

**Introduction to MATLAB presentation:**

**Obtain MATLAB software:**

MATLAB Site Licensed Software

**MATLAB materials from labs:**

Lab 2 code, outcomes, events and probability.

Lab 3 code, conditional probability and independence.

Lab 3 coincident birthday problem code

Lab 3 Monty Hall code

Lab 3 Monty Hall 2 code

Lab 4 code, Discrete random variables

Lab 5 code

Lab 5 data, 100 stations precipitation

Lab 5 demo5.mat data

Lab 6 code, Expectation and variance

Lab 6 data, 100 stations precipitation

Lab 9 code, Graphical and Numerical summaries.

Lab 9 solution code, Graphical and Numerical summaries.

Lab 9 poiss.mat data

Lab 9 norm.mat data

Lab 9 oldfaithful.txt Old Faithful data

Lab 9 software.txt Software reliability data

Lab 9 drilling.txt Drilling in rock data

Lab 9 jankahardness.txt Janka hardness of Australian timber data

**Solutions of lab assignments:**

Lab assignment 1 solution:

**Usefull slides:**

Lab 3 slide, conditional probability and independence.

**Usefull probability links:**

Bayes rule in an animated gif article (visualising dependence of having a disease and having a positive test to it). |

Three birthday problem explained. |

**Week**

**Date**

**Topic**

**Lab Assignment**

**Due time**

1

09/02

Introduction to MATLAB

2

09/09

Chapt. 1: Probability spaces

3

09/16

Chapt. 1: Probability spaces

5

09/30

Chapt. 2: Combinatorial analysis

6

10/07

Chapt. 3: Discrete Random Variables

8

10/21

Chapt. 3: Discrete Random Variables

10

11/04

TBD

10

11/11

TBD

10

11/18

TBD

10

11/25

TBD

- Introduction to Probability Theory, Paul G. Hoel, Sidney C. Port, Charles J. Stone, CENGAGE Learning, ISBN: 978-0-395-04636-4
- The Cartoon Guide to Statistics. By Larry Gonick, Woollcott Smith

- A Modern Introduction to Probability and Statistics. By Dekking, F.M., Kraaikamp, C., Lopuhaa, H.P., Meester, L.E. Springer 2007, ISBN: 978-1-85233-896-1
- Probability and Statistics for Computer Scientists, Second Edition, by Michael Baron, Chapman and Hall/CRC 2013, ISBN: 978-1-4398-75 90-2
- Introduction to Probability, 2nd Edition. By Dimitri P. Bertsekas, John N. Tsitsiklis
- How to Lie with Statistics. By Darrell Huff, Irving Geis