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## CIS 2033: Introduction to Computational Probability and Statistics, Section 002

## Professor

## Teaching assistant (section 003)

## Assignments Policy

### Lab Assignments

### Homework Assignments

## Lab Materials

## Homework and Lab Assignments

## Textbook

### Main textbook:

### Reference textbooks:

Dr. Yuhong Guo

**Office:** 374 SERC**E-mail:** yuhong@temple.edu**Web page:** Dr. Yuhong Guo**Course page:** CIS 2033

Djordje (George) Gligorijevic

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

**Office hours for Fall 2015:**

- Wednesday: 10:00am- 11:30am
- Friday: 11:00am – 12:30pm

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 **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 1 code, introduction to MATLAB. |

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, Continuous random variables |

Lab 7 code, True and empirical values of distributions |

Lab 8 code, Statistics Lab 8 poiss.mat data Lab 8 norm.mat data |

Lab 9 code, Poisson process, Graphical and Numerical summaries. Lab 9 solution code, Poisson process, 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

08/28

Introduction to MATLAB

3

09/11

Chapt. 3: Discrete random variables and distributions

4

09/18

Chapt. 3: Joint distributions and independence

5

09/25

Chapt. 3: Expectation and variance

6

10/02

Chapt. 3: Covariance and correlation

8

10/16

Midterm week

9

10/23

Midterm review

11

11/06

Chapt. 8: Simple descriptive statistics

13

11/20

Chapt. 9.1: Parameter estimation

14

12/04

Chapt. 11.1: Least squares estimation

16

04/27

Final review

- Probability and Statistics for Computer Scientists, Second Edition, by Michael Baron, Chapman and Hall/CRC 2013, ISBN: 978-1-4398-7590-2

- 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
- Introduction to Probability, 2nd Edition. By Dimitri P. Bertsekas, John N. Tsitsiklis
- The Cartoon Guide to Statistics. By Larry Gonick, Woollcott Smith
- How to Lie with Statistics. By Darrell Huff, Irving Geis