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招生信息|Admissions

教学ACADEMICS

Dr. Gail Ekici

    • 电子邮箱/E-mail:ekicigail@hotmail.com
    • 办公室/Office:科技楼6034
    • 讲授课程/Subjects:English for Academic Purposes
    • 答疑时间/Office Hours:每周一上午8:00-8:50
    • 个人简介:Working in a team environment, (four staff) running a professional placement/internship preparation program, I am responsible for the Academic Skills Development Program (ASDP), designing and running one-hour workshops for English for Academic Purposes (EAP), and also assisting in study skills and intervention programs as required.
    • 课程教学:English for Academic Purposes
    • 项目课题:University teaching: lecturing, tutoring, designing and running workshops, particularly working with ESL and low-literacy level students in undergraduate and postgraduate programs
      Application of technology in curriculum development, classroom teaching, assessment and reporting
      Second language acquisition (adolescents and adults)
      Online and face-to-face training delivery
      Task-based language teaching (speaking, listening, writing and reading)
      Employability skills development and work learning and preparation
      Administration (e.g. scheduling of assessment tasks, student records)
    • 研究成果:R. A. Jeewantha, M. N. Halgamuge, A. Mohammad and G. Ekici, "Classification Performance Analysis in Medical Science: Using Kidney Disease Data", Proceedings of 2017 International Conference on Big Data Research (ICBDR'17), Osaka, Japan, 22-24 October 2017.

      M. Singh, M. Talalaeva, M. N. Halgamuge, A. Mohammad and G. Ekici, "A Review on Security and Privacy Challenges of Big Data", Cognitive Data Science Methods and Models over Internet of Things (IoT), (Editors: Sangaiah, Thangavelu, Venkatesan), Springer (Accepted, August 2017).

      M. Singh, M. N. Halgamuge, G. Ekici and C. S. Jayasekara, "A Review on Security and Privacy Challenges of Big Data", Lecture Notes on Data Engineering and Communications Technologies Cognitive Computing for Big Data Systems Over IoT, Frameworks, Tools and Applications, Springer Volume 14, Chapter 8, ISBN: 978-3-319-70687-0, January 2018.

      T.N. Hewage, Malka N. Halgamuge, A. Syed, G. Ekici Review: Big data techniques of google, Amazon, Facebook and Twitter February 2018Journal of Communications 13(2):94-100

个人简介 / Introduction

Working in a team environment, (four staff) running a professional placement/internship preparation program, I am responsible for the Academic Skills Development Program (ASDP), designing and running one-hour workshops for English for Academic Purposes (EAP), and also assisting in study skills and intervention programs as required.

课程教学 / Subjects

English for Academic Purposes

项目课题 / Projects

University teaching: lecturing, tutoring, designing and running workshops, particularly working with ESL and low-literacy level students in undergraduate and postgraduate programs
Application of technology in curriculum development, classroom teaching, assessment and reporting
Second language acquisition (adolescents and adults)
Online and face-to-face training delivery
Task-based language teaching (speaking, listening, writing and reading)
Employability skills development and work learning and preparation
Administration (e.g. scheduling of assessment tasks, student records)

研究成果 / Achievements

R. A. Jeewantha, M. N. Halgamuge, A. Mohammad and G. Ekici, "Classification Performance Analysis in Medical Science: Using Kidney Disease Data", Proceedings of 2017 International Conference on Big Data Research (ICBDR'17), Osaka, Japan, 22-24 October 2017.

M. Singh, M. Talalaeva, M. N. Halgamuge, A. Mohammad and G. Ekici, "A Review on Security and Privacy Challenges of Big Data", Cognitive Data Science Methods and Models over Internet of Things (IoT), (Editors: Sangaiah, Thangavelu, Venkatesan), Springer (Accepted, August 2017).

M. Singh, M. N. Halgamuge, G. Ekici and C. S. Jayasekara, "A Review on Security and Privacy Challenges of Big Data", Lecture Notes on Data Engineering and Communications Technologies Cognitive Computing for Big Data Systems Over IoT, Frameworks, Tools and Applications, Springer Volume 14, Chapter 8, ISBN: 978-3-319-70687-0, January 2018.

T.N. Hewage, Malka N. Halgamuge, A. Syed, G. Ekici Review: Big data techniques of google, Amazon, Facebook and Twitter February 2018Journal of Communications 13(2):94-100

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