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This course includes:

  • 7.5 hours on-demand video
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  • Access on mobile and TV
Development Software Engineering Machine Learning

Human Computer Interaction & Machine Learning

Learn all basics of HCI with real word examples & Machine Learning
Rating: 3.4 out of 53.4 (39 ratings)
10,777 students
Created by Kaneeka Vidanage, Academy of Computing & Artificial Intelligence
Last updated 6/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • All aspects from basic to advance linked with Human Compute Interaction

Course content

2 sections • 22 lectures • 7h 30m total length

  • Preview21:18
  • Introduction to Prototyping
    21:28
  • Introduction to Evaluation Strategies
    21:16
  • Interviews and Participation Observation
    23:51
  • Evolution of the Graphical User Interface - GUI
    11:58
  • Longitudinal & Sporadic Fact Collection Techniques
    31:52
  • Storyboarding
    14:16
  • More on Prototyping
    24:30
  • Heuristic Evaluations
    28:02
  • Mental Models & Cognitions
    26:55
  • Typography
    09:51
  • HCI-Scent
    25:33
  • Layouts and basics of SWING
    28:04
  • AR Vs. VR
    20:41

  • Setting up the Environment for Machine Learning:-Downloading & setting-up
    04:13
  • How to Work With Google Collabs ?
    07:25
  • Supervised Learning Techniques:-Regression techniques,
    13:51
  • Naïve Bayer’s
    16:39
  • Support vector Machines - Concept
    15:39
  • Support Vector Machines - Hands - On with Google Collabs
    48:38
  • ANN - KERAS Tutorial : Developing an Artificial Neural Network in Python [Step b
    29:35
  • Unsupervised Learning Techniques:- Clustering,
    05:09

Requirements

  • N/A

Description

Welcome to Human-Computer Interaction Course - (HCI). This course will elaborate almost all the basics of Human-Computer Interaction principals with real-world examples. Following are the list of Learning Objectives (LO) covered in this module.

To understand what is Human-Computer Interaction - HCI

To understand requirement collection techniques in HCI

To understand how to design HCI experiments

To understand how HCI evaluations are taking place.

To understand the   evolution of the Graphical User Interfaces - GUIs

To understand the difference between Virtual Reality and Augmented Reality

Machine Learning

Setting up the Environment for Machine Learning:-Downloading & setting-up Anaconda, Introduction to Google Collabs

Supervised Learning Techniques:-Regression techniques, Naïve Bayer’s, Artificial Neural Networks

Unsupervised Learning Techniques:- Clustering, K-Means clustering

Who this course is for:

  • All undergraduate and postgraduate students following computer science, software engineering, information systems, information technology

Instructors

Kaneeka Vidanage
Senior Lecturer and Researcher in AI and Semantic Web
Kaneeka Vidanage
  • 4.2 Instructor Rating
  • 125 Reviews
  • 38,281 Students
  • 5 Courses

Started my carrier as a software engineer is a multi-national software organization specializing in the area of SQL Server Reporting Services (SSRS) and ASP.NET application development.

Own experience as an external consultant in several national and international organizations in the area of sofrware desingning, SQL and back end development.

Due to the great enthusiasm towards to funtion as a full time academic, joined with the academics disclipine as a lecturer. During the journey of an academic carrier as a lecturer, gradually moved into the reseach segment, specializing in AI and semantic web.

Henceforth, earned a Masters in Computer science as well as a full research qualification, Master of Philosophy (M .Phil) in AI and Semantic Web. Presntly, at the thesis writing period of the PhD in Ontology Engineering, which is to be completed in 2021.

Afer earning the research qualification M Phil, promoted to the role of senior lecturer and currenly fucntioning as the fourth year research project cordinator as well.

Apart from that, I have done close to 25 first authored publications in reputed conferences and journals which are listed in Web of Science Indexed pool.  Most of my publications are in the area of using AI with psychology to enhance the effectiveness of psychotherapy.

Additionally, I am an experienced project superviser, whom has already supervised significant amount of both undergraduate and postgraduate researchers.

Apart from the academic work, I am a music lover and experimenter. I have studied Western Music from Trinity College London, inclusive of both theory and practicle aspects. In associated with the Western Music skillsets , I do maintain a  Youtube channel or guiding novice to learn Keyboard

Following is a gist of my academic qualifications :-

BSc in MIS - National University of Ireland.
MSc in Computer Science - University of Colombo
M.Phil (Master of Philosophy )in AI and Semantic Web - University of Colombo
PhD in Ontology Engineering  - Final Year -University Malaysia Terengganu (UMT)

Keyboardist and Digital Music Producer - Integration of Music with AI

Academy of Computing & Artificial Intelligence
Senior Lecturer / Project Supervisor / Consultant
Academy of Computing & Artificial Intelligence
  • 3.9 Instructor Rating
  • 1,269 Reviews
  • 92,557 Students
  • 19 Courses

I have 9 years of work experience as a Researcher, Senior Lecturer, Project Supervisor & Engineer.

MSc Artificial Intelligence (University of Moratuwa), BSc Software Engineering - First Class Honours (University of Westminster),SCJP, SCWC

I have completed  a MSc in Artificial Intelligence. 

Completed BSc Software Engineering - First Class Honors from University of Westminster (UK). 

Sun Certified Java Programmer  (SCJP). – 93% and a Sun Certified Web Component Developer 97%. .

I have research experience in Data mining, Machine Learning , Cloud computing, Business Intelligence & Software Engineering


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