Java Tutorial

http://goo.gl/9Ygx61

CCNA 1 Ch 6 Addressing the Network IPv4 pdf slides

This is CCNA Semester 1, Chapter 6.

 Addressing the Network IPv4 

http://goo.gl/uHvbaP

CCNA 1 Ch 5 OSI Network Layer pdf slides

This is CCNA Semester 1, Chapter 5.

OSI Network Layer

http://goo.gl/nWieqC

CCNA 1 Ch 4 OSI Transport Layer pdf slides

This is CCNA Semester 1, Chapter 4.

OSI Transport Layer 

http://goo.gl/X8c2wH

CCNA 1 Ch 3 Application Layer Functionality and Protocols pdf slides

This is CCNA Semester 1, Chapter 3.

Application Layer Functionality and Protocols

http://goo.gl/SkL7Zn

CCNA 1 Ch 2 Communicating Over the Network pdf slides

This is CCNA Semester 1, Chapter 2.

Communicating Over the Network

http://goo.gl/vHUdj6

CCNA 1 Ch 1 Living In a Network Centric World slides

There are 3 slide pdf and 2 example test about Living In a Network Centric World in the folder.

This is CCNA Semester 1, Chapter 1.

http://goo.gl/uzmMAs

Criminology tutorial

Lecture 1             Lecture 9

Lecture 2             Lecture 10

Lecture 3             Lecture 11

Lecture 4             Lecture 12

Lecture 5             Lecture 13

Lecture 6             Lecture 14

Lecture 7             Lecture 15

Lecture 8             

USEFUL LİNKS

Criminal Justice Learning Center Cecil Greek's Criminology Page

Logic Design and Computer Organization tutorial

• [upload] Lecture 13

• [upload] Lecture 12

• [upload] Submit assignment4 (Due on 1/5)

• [upload] Lecture 11

• [upload] Lecture 10
• [upload] Submit assignment3 (Due on 12/15)

• [upload] Lecture 8 and Lecture 9
• [upload] Assignment 3 (Due on 12/15)

• [upload] Submit assignment2 (Due on 11/24)

• [upload] Exercise 1

•  [upload] Lecture 6 and Lecture 7

•  [upload] Assignment 2 (Due on 11/24)

• [update] Lecture 4 and Lecture 5

• [update] Lecture 3
• [upload] Assignment 1 (Due on 10/20)
• 
  

• [upload] Lecture 2 and Lecture 3
• [update] Lecture 1

Data Mining Lecture Notes

Pang-Ning Tan, Michigan State University,  Michael Steinbach, University of Minnesota  Vipin Kumar, University of Minnesota  Table of Contents

Highlights:

Provides both theoretical and practical coverage of all data mining topics. Includes extensive number of integrated examples and figures. Offers instructor resources including solutions for exercises and complete set of lecture slides. Assumes only a modest statistics or mathematics background, and no database knowledge is needed. Topics covered include; predictive modeling, association analysis, clustering, anomaly detection, visualization.

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Sample Chapters:

These sample chapters are also available at the publisher's Web site.

• Chapter 4. Classification: Basic Concepts, Decision Trees, and Model Evaluation (444KB)
• Chapter 6. Association Analysis: Basic Concepts and Algorithms (612KB)
• Chapter 8. Cluster Analysis: Basic Concepts and Algorithms (1.3MB)

All files are in Adobe's PDF format and require Acrobat Reader.

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Resources for Instructors and Students:

Link to PowerPoint Slides

Link to Figures as PowerPoint Slides

Links to Data Mining Software and Data Sets

Suggestions for Term Papers and Projects

Tutorials

Errata

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PowerPoint Slides:

1. Introduction (lecture slides: [PPT] [PDF])
2. Data (lecture slides: [PPT][PDF])
3. Exploring Data (lecture slides: [PPT][PDF])
4. Classication: Basic Concepts, Decision Trees, and Model Evaluation (lecture slides: [ PPT][PDF])
5. Classication: Alternative Techniques (lecture slides: [PPT][PDF])
6. Association Analysis: Basic Concepts and Algorithms (lecture slides: [PPT][PDF])
7. Association Analysis: Advanced Concepts (lecture slides: [PPT][PDF])
8. Cluster Analysis: Basic Concepts and Algorithms (lecture slides: [PPT][PDF])
9. Cluster Analysis: Additional Issues and Algorithms (lecture slides: [PPT][PDF])
10. Anomaly Detection (lecture slides: [PPT][PDF])

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Book Figures in PowerPoint Slide Format:

1. Introduction (figure slides: [PPT])
2. Data (figure slides: [PPT])
3. Exploring Data (figure slides: [PPT])  
4. Classication: Basic Concepts, Decision Trees, and Model Evaluation (figure slides: [ PPT])
5. Classication: Alternative Techniques (figure slides: [PPT])
6. Association Analysis: Basic Concepts and Algorithms (figure slides: [PPT])
7. Association Analysis: Advanced Concepts (figure slides: [PPT])
8. Cluster Analysis: Basic Concepts and Algorithms (figure slides: [PPT])
9. Cluster Analysis: Additional Issues and Algorithms (figure slides: [PPT])

10. Anomaly Detection (figure slides: [PPT])

Network Course Lecture Notes

                        -   
 lecture1.ppt            02-Sep-2006 12:16  575K  
 lecture2.ppt            02-Sep-2006 12:15  224K  
 lecture3.ppt            02-Sep-2006 12:18  2.3M  
 lecture4.ppt            02-Sep-2006 12:20  2.4M  
 lecture5.ppt            03-Sep-2006 12:18  133K  
 lecture6.ppt            03-Sep-2006 12:19  525K  
 lecture7.ppt            03-Sep-2006 12:28  220K  
 lecture8.ppt            03-Sep-2006 12:30  416K  
 lecture9.ppt            03-Sep-2006 12:32  319K  
 lecture10.ppt           03-Sep-2006 12:35   72K  
 lecture11.ppt           06-Sep-2006 22:20  631K  
 lecture12.ppt           06-Sep-2006 22:18  694K  
 lecture13&14.ppt        06-Sep-2006 22:28  365K  
 lecture15.ppt           07-Sep-2006 17:35  294K  
 lecture16&17.ppt        07-Sep-2006 17:36  368K  

Linux Lecture and Lab Notes

                            
 Linux-lab1.doc          21-Feb-2006 12:20   28K  
 Linux-lab2.doc          02-Jun-2006 22:55   25K  
 Linux-lab3.doc          03-Jun-2006 12:33   26K  
 Linux-lab4.doc          03-Jun-2006 12:33   29K  
 Linux-lab5.doc          02-Jun-2006 22:57   26K  
 Linux-lab6.doc          02-Jun-2006 22:54   24K  
 Linux-lab7.doc          02-Jun-2006 22:55   25K  
 Linux-lab8.doc          02-Jun-2006 22:56   25K  
 Linux-lab9.doc          02-Jun-2006 22:56   28K  
 Linux-lab10.doc         02-Jun-2006 22:56   27K  
 Linux-lab11.doc         02-Jun-2006 22:56   28K  
 Linux-lab13.doc         02-Jun-2006 22:57   28K  
 Linux-lab14.doc         02-Jun-2006 22:57   28K  
 linux-lecture1.ppt      02-Jun-2006 22:53  331K  
 linux-lecture2.ppt      02-Jun-2006 22:54  3.0M  
 linux-lecture3.ppt      28-Feb-2006 15:33   20M  
 linux-lecture4.ppt      12-Mar-2006 20:39  194K  
 linux-lecture5.ppt      07-Feb-2007 16:41  111K  
 linux-lecture6.ppt      02-Jun-2006 22:57  471K  
 linux-lecture7.ppt      02-Jun-2006 22:54  132K  
 linux-lecture8.ppt      02-Jun-2006 22:56  265K  
 linux-lecture9.ppt      02-Jun-2006 22:56   74K  
 linux-lecture10.ppt     02-Jun-2006 22:56  103K  
 linux-lecture11.ppt     02-Jun-2006 22:56  133K  
 linux-lecture12.ppt     02-Jun-2006 22:57  105K  
 linux-lecture13.ppt     02-Jun-2006 22:57  152K  
 linux-lecture14.ppt     02-Jun-2006 22:57  281K