Faten Subhi Alzazah

computer science lecturer with over 8 years of successful experience in teaching and lecturing. Recognized consistently for performance excellence and contributions to success in universities eduction. Strengths in programming languages and software backed by training in computer science subjects.

• 1 Award for Excellence in Research Supervision at Tabuk University.
• Master research project, “Data and Text mining for stock market prediction “, With honor degree.

· Master Python for data science, LinkedIn learning 29 hours 43 min- 2021.

· Become a Python Developer, LinkedIn learning 21 hours 24 min- 2021.

· Building Modern Python Applications on AWS, Coursera 23 hours -2021.

· Short Course in Learning, Teaching and Assessment, Middlesex university,London-2019.

· Bloomberg Market Concept Certificate (BMC), e-learning course -2020.

· Training of Trainers (TOT) certificate- Introductory Crash Course, IBCT-2020.

· VB.net , PC.net Company : 40 hours -2009.

· A+ , Nevada training Center : 40 hours -2009.

· Oracle training, PC.net Company : 100 hours-2009.

Published Conference papers

https://drive.google.com/file/d/0B5FUhfGcWwxBbjQwUmEtX3BZVzg/view

Li-Fi most important applications, West East Institute Conferences, Spain, March-2018.

https://www.westeastinstitute.com/wp-content/uploads/2018/04/EDU-2018-Barcelona- Conference-Proceedings-1.pdf

Financial News Sentiment Analysis Based on Deep Learning for Stock market prediction,

Middlesex university,UK,2019.

https://unihub.mdx.ac.uk/__data/assets/pdf_file/0017/524150/Programme_book-of- abstracts_FINAL_20-June-2019.pdf

Book chapter publication in 2020

“Recent Advances in Stock Market Prediction using Text Mining: A survey”.London,2020.

· https://www.intechopen.com/online-first/recent-advances-in-stock-market-prediction-using-text-mining-a-survey