Asmad - Algorithms tutor - Burton-on-Trent
Asmad - Algorithms tutor - Burton-on-Trent

Asmad's profile and contact details have been verified by our team

Asmad

  • Rate R558
  • Response 24h
  • Students

    Number of students Asmad has accompanied since joining Superprof

    42

    Number of students Asmad has accompanied since joining Superprof

Asmad - Algorithms tutor - Burton-on-Trent
  • 5 (4 reviews)

R558/h

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  • Algorithms
  • Quantum physics
  • Nuclear Physics
  • Astrophysics
  • Forensic Science
  • Forensic & Criminal Investigation

An IT professional with over 3 years of experience is offering to teach Forensics, Criminal investigation & Algorithms

  • Algorithms
  • Quantum physics
  • Nuclear Physics
  • Astrophysics
  • Forensic Science
  • Forensic & Criminal Investigation

Lesson location

Recommended

Asmad is a respected tutor in our community. He is highly recommended for his commitment and the quality of his lessons. A trusted partner on your learning journey.

About Asmad

I am an Electrical Engineer and Computer Scientist with over 5 years of face to face and online teaching experience. I have completed a Bachelor of Science in Electrical Engineering from the University of Engineering and Technology while majoring on communications. I have completed several IT trainings as well, hence I can teach many computer sciences courses. My recent training include:

• Python programming: A Concise Introduction by Wesleyan University, USA on Coursera. Certificate earned at Friday, November 17, 2018.
• Introduction to programming with MATLAB by Vanderbilt University, U.S on Coursera. Certificate earned on Monday, June 17, 2017.”
My expertise is in the following:
Signal Processing, Image Processing, Digital Communication, Communication Systems, Communication Electronics, Control System, MATLAB, LTSpice, Scilab, Simulink, C++, Python, Assembly Language, Prezi, MS Office, Proteus, OrCAD, Focusky, Android, Swift, AutoCAD, ArchiCAD, Revit, Sketch, Excel, PHP, C#.NET
My final year degree project involved:
• A Neural Network Based Brain-Computer Interface for Classification of Movement Related EEG.
Main Components: Arduino Microcontroller, Muse 2 Headset, Bluetooth Module, Robot Car.
Main Features: Classify the EEG related movements based on Artificial Neural Network (ANN).
Some of the projects I have worked on include:
• Voltage Stabilizer using Arduino
• Home Automation using Microcontroller atmega 16
• Electrosluch
• Amplitude Modulator Circuit
• Filtering Noise from Audio/Speech signal using MATLAB
• Simulation of Amplitude and Frequency Modulation on MATLAB
• Listening to different sounds and identifying Frequencies present it on MATLAB
• Motor speed control using Scilab (Xcos) environment in Control Applications
• Survey carried out on “Bachelor Students Thinking Process” in order to analyse student thinking after 14-years of education

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About the lesson

  • Primary
  • Secondary
  • Matric/GCSE
  • +8
  • levels :

    Primary

    Secondary

    Matric/GCSE

    AS Level

    A Level

    BTech

    Adult education

    Undergraduate

    Masters

    Diploma

    Doctorate

  • English

Languages in which the lesson is available :

English

My range of experience covers both electrical engineering and computer science. I have taught many modules in the last few years. I support students studying electrical engineering and computer science courses up to master’s level. My teaching methodology focuses on building the student’s confidence by first assuring them that the subject is not difficult. Next, I ask a series of questions and provide exercise to know where the student is lacking. Most times I try to teach the theoretical concepts before attempting to teach the practical concepts. I also love giving exercises as well as provide reading materials to help the student learn on their own.

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Rates

Rate

  • R558

Package rates

  • 5h: R2569
  • 10h: R5138

online

  • R558/h

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