CSCI 24000 Computing II
Lecture 8/30/2017
Course Announcements
CS Club Call-Out
Meeting
8/31/2017
6:00 PM
Lilly Auditorium
University Library
(UL 0130)
FREE PIZZA!
Course Announcements
Assignment
#1 Questions:
Can we use the strlen function as part o
CSCI 24000 Computing II
Lecture 9/6/2017
Course Announcement
Monday
Friday
Lab Make-up
(9/8)
11
AM 12 PM
SL
251
Seth
& Joseph
Last Week: Review
Syntax
vs. Semantics
Assignment
#1
Due: 9/11/2017
C
Introduction
What type of language is C?
What is
Predicates and Quantifiers
Mathematical Structures
for Computer Science
Chapter 1, Section 3
Copyright 2014 W.H. Freeman & Co.
MSCS Slides
Section 1.3
Variables and Statements
Variables in Logic
A variable is a symbol that stands for an individual in a co
CSCI 24000 Computing II
Lecture 8/23/2017
Course Review
Everyone
likes Python it is an easy to
learn and straight forward language.
Limitations
Our
Goal:
You should be able to pick-up any
programming language and succeed in it.
Less about the syntax
Formal Logic
Mathematical Structures
for Computer Science
Chapter 1
Copyright 2014 W.H. Freeman & Co.
MSCS Slides
Section 1.1
Logic: The foundation of reasoning
What is formal logic?
The study of reasoning : specifically concerned with
whether something i
Proofs, Induction, and Number Theory
Mathematical Structures
for Computer Science
Chapter 2
Copyright 2014 W.H. Freeman & Co.
MSCS Slides
Section 2.2
Principles of mathematical induction
Inductive proof: Drawing a conclusion from a hypothesis based on
exp
8: Large-Sample Estimation
8.1
The margin of error in estimation provides a practical upper bound to the difference between a particular
estimate and the parameter which it estimates. In this chapter, the margin of error is 1.96 (standard error
of the est
2221299&infoId=402287
Normal distribution Probability
The U.S. Bureau of Labor Statistics reports that the average annual
expenditure on food and drink for all families is $5700 (Money.
December 2003). Assume that annual expenditure on food and
drink is n
IUPUI
Project 1
Eirinn Kelley
STAT 030100-9436
Professor Achut Adhikari
18 May 2016
1.
a) Histogram
b)
~ Variable: % Below Poverty in the U.S.
~ Cases: States
~ Sample or population: Population The survey was conducted in each state, making the United
Sta
Problem set 2
S520
Submit your answers on paper by the beginning of class, Thursday 8th
September.
1. A statistics class contains 35 students: 11 undergrads and 24 grad students. Of the undergraduates, 4 are female and 7 and male. Of the grad students, 5
Problem set 1
S520
Upload your answers through the Assignments tab on Canvas by 5 pm,
Thursday 1st September.
1. For each of the following scientific questions, state whether the question is best answered
using a randomized experiment or an observational
Solutions to some exercises from Bayesian Data Analysis,
third edition, by Gelman, Carlin, Stern, and Rubin
22 Aug 2014
These solutions are in progress. For more information on either the solutions or the book (published by CRC), check the website, http:/
Solutions to some exercises from Bayesian Data Analysis, rst edition
by Gelman, Carlin, Stern, and Rubin
3 Jan 2003
These solutions are in progress. For more information on either the solutions or the book (published by CRC), check the website http:/www.s
STAT 52900
AKA: Introduction to Bayesian Statistics
Guidelines for the Class Project
1. Due Date: May 5, 2015in time for your presentation in class .
2. State the problem you are trying to solve with your study and why Bayesian
methodology will be useful
STAT 52900Spring 2015
Introduction to Bayesian Statistics
Example: The scores on a certain standardized test range between 0 and 100. Developers of the
test want to estimate the average score of students within the state, based on sample of size 10.
The D
Additional HW problems
1. Suppose we are given the following 11 observations from a normal distribution:
148, 154, 158, 160, 161, 162, 166, 170, 182, 195, 236
and we are told that the standard deviation 0 = 25. Find a 95% HDR for the
posterior distributio
STAT 52900-FALL 2015
Introduction to Bayesian Statistics
Homework 3
1) Read the Chapters 3-4 in the GCSR
2) Do problems 3.1 and 4.2 and 4.3 from GCSR (after doing problem 3 below)
3) Review Example 3.7 starting on page 88 of GCSR and the R-code attached b
STAT 52900Spring 2015
Introduction to Bayesian Statistics
Homework 2
1) Read the Chapter 2-3 in the GCSR
2) Do problems 2.1, 2.2, 2.5, 2.8, 2.12, 2.21, 2.22 from GCSR
(a) Consider a Poisson model as we discussed the Binomial model in class. That is,
suppo
STAT 52900-FALL 2015
Introduction to Bayesian Statistics
Homework 1
1. Read Chapters 1 and do Problem 1, 4, 6 and 7 in the text.
2. Refer to section 1.4 in GCSR. The question of interest is whether or not the woman
is a carrier of the hemophilia gene.
a)
Formulas and Tables
Chapter 2
Chapters 3-5
None required for this test
Chapter 6
and
and
is N(0,1)
is N(0,1)
Chapter 7
is N(0,1) with
CI for (Large-Sample):
CI for (Small-Sample)
CI for p:
with
Chapter 8
Test for (Large-Sample):
Test for (Small-Sample):
Department of Mathematical Sciences
| STAT 30100: Elementary Statistical Methods I
Exam 3 | Total points: 100
Printed Name:_
Important Instructions:
The exam is worth 100 points and is in two parts. The first part (45 points) is multiple
choice and the se
Department of Mathematical Sciences
| STAT 30100: Elementary Statistical Methods I
Exam 3 | Total points: 100
Printed Name:_
Important Instructions:
The exam is worth 100 points and is in two parts. The first part (45 points) is multiple
choice and the se
Department of Mathematical Sciences
| STAT 30100: Elementary Statistical Methods I
Exam 2 | Total points: 100
Printed Name:_
Important Instructions:
The exam is worth 100 points and is in two parts. The first part (45 points) is multiple
choice and the se
Department of Mathematical Sciences
| STAT 30100: Elementary Statistical Methods I
Exam 2 | Total points: 100
Printed Name:_KEY_
Important Instructions:
The exam is worth 100 points and is in two parts. The first part (45 points) is multiple
choice and th