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Students
Tuition Fee
Start Date
Medium of studying
Fully Online
Duration
3 months
Program Facts
Program Details
Degree
Courses
Major
Artificial Intelligence | Data Science | Computer Science
Area of study
Information and Communication Technologies
Education type
Fully Online
Timing
Full time
Course Language
English
About Program

Program Overview


This program provides a comprehensive introduction to machine learning and problem-solving by search. It covers fundamental concepts, algorithms, and techniques, including decision trees, neural networks, and SLAM. Through webinars, assignments, and quizzes, participants gain practical skills and knowledge in machine learning and problem-solving. The program prepares individuals for careers in fields such as data science, artificial intelligence, and robotics.

Program Outline

Outline:

  • Modules 1 & 2: Introduction to Machine Learning
  • Definitions
  • Introduction to algorithms
  • Basic statistics and probability concepts
  • Introduction to MATLAB and WEKA
  • Modules 3 & 4: Problem-Solving by Search Part 1
  • Problem-solving agents
  • Problem types
  • Example problems
  • Basic search algorithms
  • Modules 5 & 6: Problem-Solving by Search Part 2
  • Best-first search
  • A* search
  • Hill-climbing search
  • Genetic algorithms
  • Modules 7 & 8: Simultaneous Localization and Mapping (SLAM)
  • Robot localization techniques and principles
  • Mathematical optimization
  • Overview of Kalman filters and particle filters
  • SLAM
  • Modules 9 & 10: Machine Learning: Decision Trees and Naïve Bayes
  • Problems solved by machine learning
  • Decision trees
  • Naïve Bayes
  • Modules 11 & 12: Machine Learning: Neural Networks and Rules
  • K-NN
  • Neural networks
  • Association rules

Assessment:

  • 65% attendance rate at live, online fortnightly webinars
  • 60% mark in set assignments
  • 100% mark in quizzes

Teaching:

  • Fortnightly webinars that run for about 90 minutes
  • Class discussions
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About University
PhD
Masters
Bachelors
Diploma
Courses

Engineering Institute of Technology (EIT)


Overview:

The Engineering Institute of Technology (EIT) is a specialized institute offering a range of engineering programs, including short courses, diplomas, undergraduate certificates, bachelor's degrees, graduate certificates, master's degrees, and a Doctor of Engineering. EIT caters to students from over 140 countries, both online and on-campus.


Services Offered:

EIT provides a comprehensive range of services to its students, including:

    Student Portals & Platforms:

    Access to online resources and learning materials.

    Library:

    Access to a vast collection of engineering books and journals.

    Census Dates:

    Information on important academic deadlines.

    Hardware and Software Requirements:

    Guidance on necessary equipment for online learning.

    Pass Marks and Grading:

    Clear explanation of assessment criteria and grading system.

    Credit Points:

    Information on the credit point system used for course evaluation.

    Graduation:

    Support and guidance for graduation requirements.

    Study Tips for Students:

    Resources and advice for effective learning.

    Scholarships:

    Financial assistance for eligible students.

    Deferring & Withdrawing:

    Procedures for deferring or withdrawing from courses.

    Student Success Workshops:

    Workshops designed to enhance student learning and success.

Student Life and Campus Experience:

EIT offers both online and on-campus learning experiences. On-campus students can enjoy the benefits of a traditional campus environment, including:

    Perth & Melbourne Campus:

    Access to facilities and resources at the designated campuses.

    Campus Life:

    Opportunities for social interaction and engagement with fellow students.

Key Reasons to Study There:

    Industry Focus:

    EIT's programs are designed to meet the specific needs of the engineering industry.

    Accreditation:

    EIT's programs are registered and accredited by the Australian Government.

    Expert Lecturers:

    EIT employs industry-based experts as lecturers, providing real-world knowledge and experience.

    State-of-the-Art Technology:

    EIT utilizes advanced online technologies, including remote and virtual labs, simulation software, and live stream conferencing.

    Flexibility:

    EIT offers both online and on-campus programs, providing flexibility for students with diverse needs.

Academic Programs:

EIT offers a wide range of academic programs across various engineering disciplines, including:

    Civil Engineering:

    Programs covering structural design, materials testing, and building information modeling.

    Electrical Engineering:

    Programs focusing on power systems, renewable energy, and electrical wiring standards.

    Renewable Energy:

    Programs exploring hydrogen energy, smart grids, and battery energy storage.

    Mechanical Engineering:

    Programs covering mechanical engineering technology, hydraulics and pneumatics, and vibration analysis.

    Industrial Automation, Instrumentation & Process Control:

    Programs specializing in PLC systems, SCADA systems, and industrial automation engineering.

    Data Comms & Industrial IT:

    Programs focusing on industrial data communications, networking, and industrial internet of things.

    Electronic Engineering:

    Programs covering biomedical engineering and illumination engineering.

    Engineering Management:

    Programs designed to enhance leadership and management skills for engineers.

    Safety, Risk & Reliability:

    Programs focusing on safety instrumentation systems, hazardous areas, and risk assessment.

Other:

EIT is one of the only institutes globally specializing in engineering. The institute's unique methodology combines industry-based expertise with advanced online technologies to provide a comprehensive and engaging learning experience.

Total programs
20
Location
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