Msc. Safwan MAWLOOD

- Lecturer -


Here you can access my CV > [ My Curriculum Vitae (CV) ]


Here you can find some links to find me in different mediums...


Education Background :

Degree       Department                          University                                                               Country     Finishing date

Bachelor   Computer Science             University of Dohuk                                         Iraq               2005

Master       Computer Networking   University Technology MARA(UiTM)   Malaysia    2012


Interests :

Network

Security

Telecommunications

My Teaching philosophy is :

My personal teaching philosophy includes

 I believe that teaching is more than covering content, and assessment is more than accurate recall. The main purpose of teaching is to educate for meaning and understanding, moreover teaching is not punch a clock to start or end the day.

I believe you must truly love what you teach to be a great teacher. I have a deep passion for computer and I want infect my students with that passion and enthusiasm, no matter what aspect of computer science they are interested. Every learner is different, and I incorporate as many teaching methods during class as I can using lecture, demonstration, visuals, concrete examples, practice, and hands on learning, I can cover the various learning styles to ensure a quality learning experience for all my students


Click here to access Question Bank, Course Materials and Lecture Notes > ( myIshik Page )

All Years 2016 - 2017

Name :  Computer Networks Ii
Code :  CMPE 354
Grade :  3
Year :  2016 - 2017
NOS :  35 students
Name :  Computer Networks I
Code :  CMPE 353
Grade :  3
Year :  2016 - 2017
NOS :  35 students
Name :  Computer Security
Code :  CMPE 435
Grade :  4
Year :  2016 - 2017
NOS :  52 students
Name :  Advance Wireless Network
Code :  CMPE 424
Grade :  4
Year :  2016 - 2017
NOS :  52 students

My Publications

  • Abstract Published In Conference Abstract Book
    • Performance Evaluation of Intrusion Detection System Using Anomaly and Signature Based Algorithms to Reduction False Alarm Rate
      2016 - 2017
    • A machine learning laboratory setting for computer Engineering Department
      2016 - 2017

Activities by types