Main.HomePage History

Hide minor edits - Show changes to markup

August 12, 2011, at 02:23 AM EST by 129.252.28.27 -
Changed line 14 from:

Jewel T. Rogers 803 777-7849 (phone)

to:

Kelli Kelleher 803 777-7849 (phone)

August 12, 2011, at 02:20 AM EST by 129.252.28.27 -
Added lines 5-10:

Be prepared to go to Google, Microsoft, Amazon and change the world using your programming skills? This course is right for you to develop the essential skills for object-oriented programming with software engineering design principles in mind.

http://www.wikinoticia.com/images/ElBlogDeEnriqueDans/www.enriquedans.com.wp-content.uploads.2009.06.google-amazon.jpg?

August 12, 2011, at 02:17 AM EST by 129.252.28.27 -
Changed lines 23-25 from:

Meeting Time(s): TTH 11:00AM-12:15PM
Classroom: 2A18 Swearinger Engineering Center

to:

Meeting Time(s): MWF 2:30PM- 3:20PM
Classroom: 300M B102

Changed lines 29-34 from:

Office Hours: TTH 10:00PM-11:00PM or by Appointment.

to:

Office Hours:MW 3:30 to 5:00PM or by Appointment.

August 12, 2011, at 01:07 AM EST by 129.252.28.27 -
Changed lines 1-2 from:

CSCE 822 - DATA MINING&WAREHOUSING

to:

CSCE 240- INTRODUCTION TO SOFTWARE ENGINEERING

Changed lines 14-16 from:

Many interesting applications, Hands-on projects, exposure to techniques from machine learning, pattern recognization, statistics, mathematics, and computational intelligence

to:

Many interesting applications, Hands-on projects

Changed lines 18-20 from:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure the competitiveness in the world. Data mining have been intensively used in large companies such as IBM, HP, Ebay, Wellsfargo, by govenmental organizations such as National Security Agency and CIA, and in the emerging field of genomics or bioinformatics. Understanding the principles of data mining and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data (mostly from bioinformatics applications) to challenge your skills of data mining. Students from computer science, engineering, biostatistics, (molecular) biology, medicine are all encouraged to enroll.

to:

Fundamentals of software design and development; software implementation strategies;object-oriented design techniques; ethics in software development We will focus on C++ programming as the way to learn software engineering

August 17, 2010, at 09:18 AM EST by 129.252.11.239 -
Changed lines 24-26 from:

Meeting Time(s): MW 4:00PM- 5:15PM
Classroom: 2A21 Swearinger Engineering Center

to:

Meeting Time(s): TTH 11:00AM-12:15PM
Classroom: 2A18 Swearinger Engineering Center

Changed lines 30-35 from:

Office Hours: MW 1:30PM-3:30PM or by Appointment.

to:

Office Hours: TTH 10:00PM-11:00PM or by Appointment.

August 13, 2008, at 11:53 AM EST by 129.252.11.192 -
Changed lines 1-2 from:

Course Title: CSCE 822 - DATA MINING&WAREHOUSING

to:

CSCE 822 - DATA MINING&WAREHOUSING

August 13, 2008, at 11:52 AM EST by 129.252.11.192 -
Changed lines 1-2 from:

Course Title: CSCE 822 - DATA MINING&WAREHOUSING

to:

Course Title: CSCE 822 - DATA MINING&WAREHOUSING

August 13, 2008, at 11:52 AM EST by 129.252.11.192 -
Added line 11:
August 13, 2008, at 11:52 AM EST by 129.252.11.192 -
Changed lines 1-2 from:

Course Title: CSCE 822 - DATA MINING&WAREHOUSING

to:

Course Title: CSCE 822 - DATA MINING&WAREHOUSING

Deleted lines 5-6:

Course Level: Graduate (CSCE822)

Deleted lines 10-12:
August 13, 2008, at 11:52 AM EST by 129.252.11.192 -
Added line 2:
August 13, 2008, at 11:51 AM EST by 129.252.11.192 -
Changed line 1 from:

Course Title: Data Mining Principles and Applications\\

to:

Course Title: CSCE 822 - DATA MINING&WAREHOUSING

August 13, 2008, at 11:51 AM EST by 129.252.11.192 -
Changed lines 5-6 from:

http://scigen.org/datamining/pub/skins/pmwiki/dmicon.jpg

to:
August 13, 2008, at 11:50 AM EST by 129.252.11.192 -
Changed lines 29-30 from:

Classroom: 2A31 Swearinger Engineering Center

to:

Classroom: 2A21 Swearinger Engineering Center

May 08, 2008, at 01:06 AM EST by 71.76.13.60 -
Changed line 7 from:

Course Level: Undergraduate (CSCE590)/Graduate (CSCE822)

to:

Course Level: Graduate (CSCE822)

August 21, 2007, at 12:38 PM EST by 129.252.11.94 -
Added line 9:
Changed line 11 from:

Jewel T. Rogers\\803 777-7849 (phone)

to:

Jewel T. Rogers 803 777-7849 (phone)

August 21, 2007, at 12:37 PM EST by 129.252.11.94 -
Changed lines 9-14 from:

If you have problem to enroll, pls email me jianjunh@cse.sc.edu

to:

If you have problem to enroll, pls contact/call CSE secretary

Jewel T. Rogers\\803 777-7849 (phone) Swearingen Bldg., Room 3A01L

August 19, 2007, at 07:41 PM EST by 71.76.5.59 -
Changed lines 28-33 from:

Office Hours: TH10:00AM-12:00AM or by Appointment.

to:

Office Hours: MW 1:30PM-3:30PM or by Appointment.

August 19, 2007, at 07:39 PM EST by 71.76.5.59 -
August 19, 2007, at 07:38 PM EST by 71.76.5.59 -
Added line 8:
Changed lines 10-11 from:
to:
August 19, 2007, at 07:38 PM EST by 71.76.5.59 -
Changed lines 2-4 from:

Department of Computer Science and Engineering
University of South Carolina

to:

Department of Computer Science and Engineering
University of South Carolina

August 19, 2007, at 06:15 PM EST by 71.76.5.59 -
Changed lines 8-9 from:
to:

If you have problem to enroll, pls email me jianjunh@cse.sc.edu

August 19, 2007, at 06:02 PM EST by 71.76.5.59 -
Changed lines 1-4 from:

Course Title: Data Mining Principles and Applications

to:

Course Title: Data Mining Principles and Applications
Department of Computer Science and Engineering
University of South Carolina

Changed lines 7-8 from:

Course Level: Undergraduate/Graduate

to:

Course Level: Undergraduate (CSCE590)/Graduate (CSCE822)

August 19, 2007, at 05:56 PM EST by 71.76.5.59 -
Changed line 19 from:

Instructor: Dr. Jianjun Hu\\

to:

Instructor: Dr. Jianjun Hu\\

August 19, 2007, at 05:54 PM EST by 71.76.5.59 -
Changed lines 1-3 from:

Course Title: Data Mining Principles with Applications in Bioinformatics http://darwin.cse.sc.edu/datamining/pub/skins/pmwiki/dmicon.jpg

to:

Course Title: Data Mining Principles and Applications http://scigen.org/datamining/pub/skins/pmwiki/dmicon.jpg

August 19, 2007, at 05:54 PM EST by 71.76.5.59 -
August 19, 2007, at 03:52 AM EST by 71.76.5.59 -
August 15, 2007, at 05:20 PM EST by admin -
Changed lines 6-7 from:

Couse Description

to:

Course Highlights Many interesting applications, Hands-on projects, exposure to techniques from machine learning, pattern recognization, statistics, mathematics, and computational intelligence

Course Description

August 15, 2007, at 05:15 PM EST by admin -
Changed lines 8-10 from:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure the competitiveness in the world. Data mining have been intensively used in large companies such as IBM, HP, Ebay, Wellsfargo, by govenmental organizations such as National Security Agency and CIA, and in the emerging field of genomics or bioinformatics. Understanding the principles of data mining and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data (mostly from bioinformatics applications) to challenge your skills of data mining.

to:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure the competitiveness in the world. Data mining have been intensively used in large companies such as IBM, HP, Ebay, Wellsfargo, by govenmental organizations such as National Security Agency and CIA, and in the emerging field of genomics or bioinformatics. Understanding the principles of data mining and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data (mostly from bioinformatics applications) to challenge your skills of data mining. Students from computer science, engineering, biostatistics, (molecular) biology, medicine are all encouraged to enroll.

August 15, 2007, at 03:05 PM EST by admin -
Changed lines 4-6 from:
to:

Course Level: Undergraduate/Graduate

August 15, 2007, at 03:02 PM EST by admin -
Changed lines 6-8 from:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure our leadership. Understanding data mining principles and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data (mostly from bioinformatics applications) to challenge your skills of data mining.

to:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure the competitiveness in the world. Data mining have been intensively used in large companies such as IBM, HP, Ebay, Wellsfargo, by govenmental organizations such as National Security Agency and CIA, and in the emerging field of genomics or bioinformatics. Understanding the principles of data mining and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data (mostly from bioinformatics applications) to challenge your skills of data mining.

August 15, 2007, at 02:57 PM EST by admin -
Changed lines 6-8 from:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure our leadership. Understanding data mining principles and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data to challenge your skills of data mining.

to:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure our leadership. Understanding data mining principles and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data (mostly from bioinformatics applications) to challenge your skills of data mining.

August 15, 2007, at 02:56 PM EST by admin -
Changed lines 6-8 from:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure our leadership. Understanding data mining principles and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills.

to:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure our leadership. Understanding data mining principles and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data to challenge your skills of data mining.

August 15, 2007, at 02:44 PM EST by admin -
Changed lines 11-12 from:

Meeting Time(s): MW 4:00PM- 5:15PM

to:

Meeting Time(s): MW 4:00PM- 5:15PM\\

Changed line 14 from:

Instructor: Dr. Jianjun Hu\\

to:

Instructor: Dr. Jianjun Hu\\

August 15, 2007, at 02:43 PM EST by admin -
Changed lines 6-8 from:

Easy acquision of huge amount of data in science, business, national security and makes it critial to extract informative knowledge and patterns from these data to ensure our leadership. Understanding the data mining principles and obtaining the hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills.

to:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure our leadership. Understanding data mining principles and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills.

August 15, 2007, at 02:42 PM EST by admin -
Changed lines 6-7 from:
to:

Easy acquision of huge amount of data in science, business, national security and makes it critial to extract informative knowledge and patterns from these data to ensure our leadership. Understanding the data mining principles and obtaining the hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills.

Added line 25:

College of Engineering and Computing\\

Changed line 27 from:

301 Main Street, Columbia, SC, 29201\\

to:

301 Main Street, Columbia, SC, 29201

August 15, 2007, at 02:31 PM EST by admin -
Changed lines 14-27 from:

Instructor: Dr. Jianjun Hu

Email: jianjunh AT cse.sc.edu

Office: 3A66 Swearinger Engineering Center

Department of Computer Science and Engineering University of South Carolina 301 Main Street, Columbia, SC, 29201

to:

Instructor: Dr. Jianjun Hu
Email: jianjunh AT cse.sc.edu
Office: 3A66 Swearinger Engineering Center
Office Hours: TH10:00AM-12:00AM or by Appointment.

Department of Computer Science and Engineering
University of South Carolina
301 Main Street, Columbia, SC, 29201\\

August 15, 2007, at 02:30 PM EST by admin -
Changed lines 5-7 from:
to:

Couse Description

Course Meeting Time & Location

Meeting Time(s): MW 4:00PM- 5:15PM

Classroom: 2A31 Swearinger Engineering Center

Added line 15:
Added line 17:
Changed lines 19-21 from:

Office Hours:

to:
August 15, 2007, at 02:26 PM EST by admin -
Changed lines 1-2 from:

Welcome to Data Mining Course!

to:

Course Title: Data Mining Principles with Applications in Bioinformatics http://darwin.cse.sc.edu/datamining/pub/skins/pmwiki/dmicon.jpg

Added lines 9-10:

Email: jianjunh AT cse.sc.edu Office: 3A66 Swearinger Engineering Center

Added lines 12-16:

Department of Computer Science and Engineering University of South Carolina 301 Main Street, Columbia, SC, 29201

August 15, 2007, at 02:13 PM EST by admin -
Changed lines 3-13 from:

A local copy of PmWiki's documentation has been installed along with the software, and is available via the documentation index.

To continue setting up PmWiki, see initial setup tasks.

The basic editing page describes how to create pages in PmWiki. You can practice editing in the wiki sandbox.

More information about PmWiki is available from http://www.pmwiki.org . adddddd

to:

Instructor: Dr. Jianjun Hu Office Hours:

August 15, 2007, at 01:05 PM EST by admin -
Changed line 13 from:

addd

to:

adddddd

August 15, 2007, at 12:31 PM EST by admin -
Changed lines 1-2 from:

Welcome to PmWiki!

to:

Welcome to Data Mining Course!

August 15, 2007, at 12:20 PM EST by mike -
Added line 13:

addd

August 15, 2007, at 12:20 PM EST by mike -