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Teaching

I have taught both Intro level courses (e.g. CGS3300 – Introduction to Information Systems) and advanced topics specific to MIS majors (e.g., Business Intelligence and Business Analytics). I am comfortable teaching both core IS courses (e.g., Introduction to IS, Security, Strategy, Statistics) and applied courses (e.g., Database, System Analysis and Design, Business Intelligence, Business Analytics, Business Programming, Enterprise Information Systems). I designed the Business Analytics course taught at the undergraduate level for business majors at Florida International University. This course is part of the Business Analytics concentration for Information Systems students. The course is comprised of a series of lectures and hands-on exercises. My teaching evaluations so far:

Spring 2018 – CIS9557 – Business Analytics
Course evaluation: 4.3/5.0

Fall 2016 – CIS4400 – Datawarehousing for Analytics
Course evaluation: 4.5/5.0

Spring 2015 – ISM4420 – Business Analytics
Course evaluation: 4.5/5.0

Fall 2015 – ISM4420 – Business Analytics. Section U01. It is a new offering for the Analytics track. I designed the course syllabus and developed the content for this course.
Course evaluation: 4.25/5.0

Spring 2015 – CGS3300 – Introduction to Information Systems. Section U02.
Course evaluation: 4.5/5.0

Fall 2014 – QMB4930 – Special Topics in Decision Sciences: Business Intelligence. Sec. U01.
Course evaluation: 4.48/5.0

Fall 2014 – QMB4930 – Special Topics in Decision Sciences: Business Intelligence. Sec. U02.
Course evaluation: 4.83/5.0

Exercises:
– Supervised learning (Classification and Regression)
– Unsupervised learning (Clustering, Customer segmentation, Market Basket Analysis, RFM analysis)
– Social Network Analysis
– Text Mining (Sentiment analysis, Classification)
– Recommendation Systems
– Deep Learning

Context:
– Healthcare
– Marketing
– Finance
– Information Systems

Licensed enterprise-level software:
– SAS Enterprise Miner
– SAS Text Miner
– Watson Analytics
– Tableau
– RapidMiner

Open source:
– Weka
– R | data analysis & ML
– Python (Scikit-learn, Pandas) | data analysis & ML
– Gephi | network graphs

Other:
– Import.io
– Neo4j
– H2O.ai

Excited to try DataCamp for Academics this Fall Semester

Starting Fall 2018 I was appointed Co-Director of Technology in the Paul H. Chook Department of Information Systems and Statistics. One of the initiatives I will push this semester is to start a sustainable program to encourage business students to learn programming. After trying many online resources(e.g., Coursera, Udacity, Datacamp) I have decided to use Datacamp because of its well-thought curriculum and engaging content. This pilot aims to attract students from all business majors (e.g., finance, accounting, marketing, information systems) into programming by helping students learn by doing –a teaching philosophy I firmly believe in. My goal is to create an ecosystem of undergraduate and graduate students supporting each other and supported by graduate assistants in the quest to learn something that will have a big impact in their careers. I plan to use Discord or Slack to create channels for student to interact with each other both inside and outside the lab. I will document the progress made by students and share some testimonials at the end of the semester.

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