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Jack Zheng
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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
