About Jack Zheng
Faculty of IT at Kennesaw.edu
BSIT Concentration
Data Analytics and Technology
Overview
Jack G. Zheng
https://www.edocr.com/v/0jmn189y/jgzheng/ksu-bsit-data-concentration-overview
Department of Information Technology
2022
Introduction
• BSIT concentration of data analytics and
technology focuses on technologies,
systems, and applications that support
analytical data processing.
– Data is one of the most important assets in
today’s organizations.
– Analytics is the basis of driving business
performance and discover new insights and
opportunities.
– Data related job dominate job growth, especially
data engineer and analytics-enabled jobs.
2
Background
•
IT department has completed a major review and revision
of BSIT curriculum in the year of 2018-2019.
• Among all changes, a new concentration of data
analytics and technology was created and went in effect
in fall 2020.
• A concentration needs 15 Credit hours (changed from
12).
3
https://ccse.kennesaw.edu/advising/resources/
curriculum-sheets.php
Data Analytics and Technology
Concentration Diagram
4
IT 4733
Big Data
Systems
IT 3703
Intro to Data
Analytics and
Technology
IT 4713
Business
Intelligence
Systems
IT 4793
Applied Data
Solutions
IT 4773
Machine
Learning
IT 4490
Special Topics
CSE3153
Database
Systems
BSIT Required
Courses
IT 3123
Hardware
and
Software
Recommended,
not official.
IT 3703 Intro to Data Analytics and Tech
• Providing an overview of the data analytics technology
field
•
Introducing the basic process and components of data
analytics
– Data storage, modeling, format, preparation, analysis,
presentation, and delivery.
• Going beyond traditional relational databases and SQL
(compared to CSE 3153)
• The course emphasizes concepts and terminologies, but
it also comes with hands-on short labs using
– Google Data Studio
– Google BigQuery
• http://zheng.kennesaw.edu/teaching/it3703
5
IT 4713 Business Intelligence Systems
• This course focuses on the descriptive data analysis and
reporting systems in corporate and organizational
environments
– Data warehouse/mart, ETL, OLAP, reporting
• The technologies and systems mainly support
– structured and historical data
– structured descriptive query
– multidimensional analysis
– visual reports
• Systems/tools in focus
– Microsoft SQL Server suite: SSAS, SSIS
– Power BI/Excel as client tools
• More information
– http://zheng.kennesaw.edu/teaching/it4713
6
IT 4733 Big Data
• Introducing the big data and NoSQL
database and computing platforms
• System administration practices on big data
computing platforms
• Systems in-focus
– Apache Hadoop ecosystem
– Spark, YARN, HBase
7
IT 4773 Machine Learning
• The course introduces how machine learning fits in
the organization/enterprise and leads to competitive
advantages
• Students perform data analytics using supervised
and unsupervised learning techniques, to solve
practical problems
– Retail Forecasting
– Controlling healthcare cost
– Predictive maintenance
– Machine Learning for IoT
• Systems and tools
– Microsoft Azure
– Python
8
https://connect.bim360.autodesk.com/what-is-machine-learning-in-
construction
IT 4793 Applied Data-driven Solutions
• Project-based learning experience
– The course is driven by a complete data analytics or data
engineering related project
– Analyze, develop, compare, and implement a complete solution to a
practical real-world problem.
– Integrate all skills into the project
• Featuring a specific field, such as healthcare, finance, security,
social media, academia, sports, and utilities.
• Data driven solution
– The problem and solution heavily involve and rely on data
– Apply techniques and evaluating technologies to solve the problem
• Similar to a capstone project, but
– with instructor guidance throughout the course
– one common project for all groups (maybe with slightly different
focus or tools)
9
Analytics Courses Offering Plan
10
https://ccse.kennesaw.edu/advising/resources/permanent-schedules/it_perm_sched.php
Coming semester
– fall 2022
Other Related Courses
Recommended
• IT 4153 Advanced Database
– Focusing on database operations, advanced
query, and admin techniques.
– It’s generally related to data management, but
not specifically on data analytics
11
Data Education at KSU
• BSIT - the new concentration on “data analytics and
technology”
– https://www.edocr.com/v/0jmn189y/jgzheng/ksu-bsit-data-
concentration-overview
• MSIT/BSIT - Graduate Certificate in Data Analytics and
Intelligent Technology
– https://www.edocr.com/v/z1dwxbpy/jgzheng/ksu-msit-data-
certificate
– https://msit.kennesaw.edu/future-students/program-
requirements.php
• Other departments
– Ph.D. in Analytics and Data Science
https://datascience.kennesaw.edu
– ACS 8310 Data Warehousing
–
IS 8935 Business Intelligence - Traditional and Big Data
Analytics
– Certificate in High Performance Cluster Computing
http://ccse.kennesaw.edu/cs/programs/cert-hpcc.php
•
For more information
– http://zheng.kennesaw.edu/advising
– Lecture notes on BI and Data Visualization
https://www.edocr.com/user/jgzheng
12
Advising and Questions
• Contact the coordinator
– Dr. Jack Zheng, gzheng@kennesaw.edu
– Or through Microsoft Teams
• Web info
– http://zheng.kennesaw.edu/advising/bsit-data.cshtml
– https://www.edocr.com/v/0jmn189y/jgzheng/ksu-bsit-
data-concentration-overview
• CCSE info
– https://ccse.kennesaw.edu/it/programs/bsit.php
– https://ccse.kennesaw.edu/advising/resources/curriculu
m-sheets.php
– https://ccse.kennesaw.edu/advising/resources/permanen
t-schedules/it_perm_sched.php
13
Data Analytics and Technology
Overview
Jack G. Zheng
https://www.edocr.com/v/0jmn189y/jgzheng/ksu-bsit-data-concentration-overview
Department of Information Technology
2022
Introduction
• BSIT concentration of data analytics and
technology focuses on technologies,
systems, and applications that support
analytical data processing.
– Data is one of the most important assets in
today’s organizations.
– Analytics is the basis of driving business
performance and discover new insights and
opportunities.
– Data related job dominate job growth, especially
data engineer and analytics-enabled jobs.
2
Background
•
IT department has completed a major review and revision
of BSIT curriculum in the year of 2018-2019.
• Among all changes, a new concentration of data
analytics and technology was created and went in effect
in fall 2020.
• A concentration needs 15 Credit hours (changed from
12).
3
https://ccse.kennesaw.edu/advising/resources/
curriculum-sheets.php
Data Analytics and Technology
Concentration Diagram
4
IT 4733
Big Data
Systems
IT 3703
Intro to Data
Analytics and
Technology
IT 4713
Business
Intelligence
Systems
IT 4793
Applied Data
Solutions
IT 4773
Machine
Learning
IT 4490
Special Topics
CSE3153
Database
Systems
BSIT Required
Courses
IT 3123
Hardware
and
Software
Recommended,
not official.
IT 3703 Intro to Data Analytics and Tech
• Providing an overview of the data analytics technology
field
•
Introducing the basic process and components of data
analytics
– Data storage, modeling, format, preparation, analysis,
presentation, and delivery.
• Going beyond traditional relational databases and SQL
(compared to CSE 3153)
• The course emphasizes concepts and terminologies, but
it also comes with hands-on short labs using
– Google Data Studio
– Google BigQuery
• http://zheng.kennesaw.edu/teaching/it3703
5
IT 4713 Business Intelligence Systems
• This course focuses on the descriptive data analysis and
reporting systems in corporate and organizational
environments
– Data warehouse/mart, ETL, OLAP, reporting
• The technologies and systems mainly support
– structured and historical data
– structured descriptive query
– multidimensional analysis
– visual reports
• Systems/tools in focus
– Microsoft SQL Server suite: SSAS, SSIS
– Power BI/Excel as client tools
• More information
– http://zheng.kennesaw.edu/teaching/it4713
6
IT 4733 Big Data
• Introducing the big data and NoSQL
database and computing platforms
• System administration practices on big data
computing platforms
• Systems in-focus
– Apache Hadoop ecosystem
– Spark, YARN, HBase
7
IT 4773 Machine Learning
• The course introduces how machine learning fits in
the organization/enterprise and leads to competitive
advantages
• Students perform data analytics using supervised
and unsupervised learning techniques, to solve
practical problems
– Retail Forecasting
– Controlling healthcare cost
– Predictive maintenance
– Machine Learning for IoT
• Systems and tools
– Microsoft Azure
– Python
8
https://connect.bim360.autodesk.com/what-is-machine-learning-in-
construction
IT 4793 Applied Data-driven Solutions
• Project-based learning experience
– The course is driven by a complete data analytics or data
engineering related project
– Analyze, develop, compare, and implement a complete solution to a
practical real-world problem.
– Integrate all skills into the project
• Featuring a specific field, such as healthcare, finance, security,
social media, academia, sports, and utilities.
• Data driven solution
– The problem and solution heavily involve and rely on data
– Apply techniques and evaluating technologies to solve the problem
• Similar to a capstone project, but
– with instructor guidance throughout the course
– one common project for all groups (maybe with slightly different
focus or tools)
9
Analytics Courses Offering Plan
10
https://ccse.kennesaw.edu/advising/resources/permanent-schedules/it_perm_sched.php
Coming semester
– fall 2022
Other Related Courses
Recommended
• IT 4153 Advanced Database
– Focusing on database operations, advanced
query, and admin techniques.
– It’s generally related to data management, but
not specifically on data analytics
11
Data Education at KSU
• BSIT - the new concentration on “data analytics and
technology”
– https://www.edocr.com/v/0jmn189y/jgzheng/ksu-bsit-data-
concentration-overview
• MSIT/BSIT - Graduate Certificate in Data Analytics and
Intelligent Technology
– https://www.edocr.com/v/z1dwxbpy/jgzheng/ksu-msit-data-
certificate
– https://msit.kennesaw.edu/future-students/program-
requirements.php
• Other departments
– Ph.D. in Analytics and Data Science
https://datascience.kennesaw.edu
– ACS 8310 Data Warehousing
–
IS 8935 Business Intelligence - Traditional and Big Data
Analytics
– Certificate in High Performance Cluster Computing
http://ccse.kennesaw.edu/cs/programs/cert-hpcc.php
•
For more information
– http://zheng.kennesaw.edu/advising
– Lecture notes on BI and Data Visualization
https://www.edocr.com/user/jgzheng
12
Advising and Questions
• Contact the coordinator
– Dr. Jack Zheng, gzheng@kennesaw.edu
– Or through Microsoft Teams
• Web info
– http://zheng.kennesaw.edu/advising/bsit-data.cshtml
– https://www.edocr.com/v/0jmn189y/jgzheng/ksu-bsit-
data-concentration-overview
• CCSE info
– https://ccse.kennesaw.edu/it/programs/bsit.php
– https://ccse.kennesaw.edu/advising/resources/curriculu
m-sheets.php
– https://ccse.kennesaw.edu/advising/resources/permanen
t-schedules/it_perm_sched.php
13