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Students
Tuition Fee
GBP 1,800
Per course
Start Date
Medium of studying
On campus
Duration
5.0 days
Program Facts
Program Details
Degree
Courses
Major
Artificial Intelligence | Computer Science | Software Engineering
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 1,800
Intakes
Program start dateApplication deadline
2025-01-13-
About Program

Program Overview


Cranfield University's "AI for Autonomous Systems" course provides a comprehensive overview of AI algorithms and their application to autonomous systems. Through lectures, practical sessions, and a case study, participants gain a solid foundation in AI for AS, enhancing their career prospects in AI development and implementation in autonomous systems.

Program Outline


Outline:

  • Introduction: This section covers the fundamentals of AI for AS, including an overview of AS sensors and imaging.
  • AI Algorithms:
  • Supervised Learning:
  • This module covers support vector machines, neural networks, and deep neural networks.
  • Unsupervised Learning: This module covers unsupervised learning algorithms and their applications.
  • Automated Reasoning: This module focuses on Bayesian Networks and their role in autonomous systems.
  • Lab Sessions: Hands-on sessions on unsupervised and supervised learning, including deep learning, are provided.
  • Case Study: A real-world case study is presented to apply the learned concepts.

Teaching:

  • Teaching Format: The course consists of lectures and practical sessions, with a total of 28 hours of teaching time.
  • Faculty: The course is taught by Dr. Ivan Petrunin and Dr. Luca Zanotti Fragonara.

Careers:

  • Target Audience: This course is designed for professionals involved in the design and validation of autonomous systems, such as unmanned aerial vehicles (UAVs) or unmanned ground vehicles.
  • Career Opportunities: Completing this course can enhance your career prospects in fields related to AI development and implementation in autonomous systems.

Other:

  • Course Dates: The next course is scheduled for January 13-17, 2025.
  • Course Duration: The course duration is 5 days.
  • Course Location: The course is held at the Cranfield campus.
  • Course Cost: The course fee is £1,800, with discounts available for Cranfield alumni and group registrations.
  • Accommodation: On-campus accommodation options are available through Mitchell Hall or Cranfield Management Development Centre.
  • Application Process: Applications can be submitted through the online application form.

Additional Information:

  • This course provides a solid foundation in AI algorithms and their application to autonomous systems.
  • The course includes practical sessions and a case study to allow participants to apply their theoretical knowledge to real-world scenarios.
  • Successful completion of this course can enhance your career prospects in the field of AI and autonomous systems.

Please note:

The information provided is based on the given context. If you require more specific details or have further questions, please contact Cranfield University directly.

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About University
PhD
Masters
Diploma
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Courses


Overview:

Cranfield University is a postgraduate-focused institution specializing in science, technology, engineering, and management. It is renowned for its strong industry links and practical approach to education.


Services Offered:

Cranfield University offers a wide range of services to students, including:

    Careers and Employability Service:

    Provides guidance and support for career planning and job searching.

    IT Services:

    Offers access to computer labs, software, and technical support.

    Libraries:

    Provides access to extensive collections of books, journals, and online resources.

Student Life and Campus Experience:


Key Reasons to Study There:

    Strong Industry Links:

    Cranfield University has close relationships with numerous organizations, providing students with opportunities for internships, placements, and networking.

    Practical Approach to Education:

    The university emphasizes hands-on learning and real-world applications, preparing students for successful careers.

    World-Class Facilities:

    Cranfield boasts state-of-the-art facilities, including laboratories, workshops, and research centers.

Academic Programs:

Cranfield University offers a variety of postgraduate programs, including:

    Taught Degrees:

    MSc programs in various fields, such as aerospace, energy, and management.

    Research Degrees:

    PhD and MPhil programs for students seeking to conduct advanced research.

    Apprenticeships:

    Level 7 apprenticeships for professionals seeking to enhance their skills and knowledge.

    Professional Development:

    Short courses and executive development programs for individuals and organizations.

Other:

  • Cranfield University has two campuses: Cranfield Campus and Cranfield University at Shrivenham.
  • The university is committed to sustainability and has a strong track record in environmental research.
  • Cranfield University is ranked highly in various international rankings, including those for sustainability and engineering.

Total programs
184
Admission Requirements

I am unable to provide a detailed breakdown of the prerequisites necessary for students.


However, based on the context, here are some general requirements that may apply:

  • Academic qualifications: Applicants will likely need to hold a bachelor's degree in a relevant field, such as engineering, computer science, or mathematics.
  • Minimum GPA: A minimum GPA requirement may be in place, though the specific threshold is not mentioned in the provided text.
  • Prerequisite courses: Completion of specific undergraduate courses in relevant areas, such as artificial intelligence, machine learning, and autonomous systems, may be required.
  • Standardized test scores: Applicants may need to submit scores from standardized tests such as the GRE or GMAT, depending on the program's specific requirements.
  • Work experience: Prior experience in the field of autonomous systems or artificial intelligence may be advantageous.

However, if the program is taught in English, applicants will likely need to demonstrate proficiency in the language through standardized tests such as IELTS or TOEFL. To obtain the most up-to-date and accurate information on entry requirements and language proficiency requirements, it is recommended to contact the Cranfield University directly.

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