Dr. Eleanor Eytam

Dr. Eleanor Eytam

I am a Faculty member in the Industrial Engineering and Management Department, teaching data science courses in the Information System track to undergraduate. I teach courses in business intelligence, data mining, and business data analysis. My interests are multidisciplinary. My extensive experience in high-tech industry led me to research in IS where I completed my PhD. I have worked with hospitalized teenagers and children with special needs and completed an MA in cognitive psychology and in Culture Research. I have also worked for an international accounting firm for a while, and completed BA in Economics, Accounting, and English Literature. In between I served as a journalist writing in life-style magazines about scientific issues. My diverse education and experience led me to develop a special project–oriented teaching methodology enabling me to work with each student in his or her own pace to ensure a challenging and satisfying learning experience

Profile

Industrial engineering and management
Lecturer
Ashdod
Ashdod

Ashdod

Decibel / 2029

Education

2014-2009   Ph.D. in Information Systems Engineering.  Ben Gurion University of the Negev, Israel.  Dissertation title: 'The Paradox of Simplicity - Effects of Perceived User Interface Simplicity on Evaluation, Preference and Choice of Interactive Systems'.  Advisers: Prof. Tractinsky, N & Prof. Lowengart, O.

2002-2004   M.A. in Cognitive Psychology (Honors Stipend).  Tel – Aviv University, Israel. Dissertation title: 'Working Memory and the Stroop Effect'.  Advisers: Ph.D. Goshen, Y & Prof. Algom, D.  

1999-2002   M.A in Culture Research (Magna cum laude).  Tel – Aviv University, Israel. Dissertation title: 'The High Tech Elite Culture'.  Adviser: Ph.D.  Sheffi – Sela, R.          

1996-1998   B.A. in Psychology and English Literature.  Tel – Aviv University, Israel.

1992-1995   B.A. in Economics and Accountancy.  Tel – Aviv University, Israel.

Publications

Research

The importance of individual differences to User Interface and user experience issues (Paper in process + 1 papers in refereed conference volume).
 

Information Systems symbolism and aesthetics as mark ups for system quality (An abstract in refereed conference volume).
 

Users versus consumers' preference and choice of technological products (A peer reviewed paper + 2 papers in refereed conference volume).
 

Aesthetics in ubiquitous computing (Co-author in a book-chapter).

Grants

Erasmus projects submission - Enhancement of Training for female-student in STEM Studies to Advance Innovation and Entrepreneurship / WoMax, submitted  2016, 2017
 

Erasmus projects submission - Fostering Excellence and Creativity for Students by overcoming Learning Disabilities and special academic needs / FEXLED, submitted 2015.

Courses

Introduction to Information Systems
Business Intelligence
Software Projects' Management
Information Retrieval and Recommender Systems 
Data management and analysis
Data mining