Course Details

Course Code(s):
CE4021
Available:
Part-Time
Intake:
Autumn/Fall
Course Start Date:
Autumn 2024
Duration:
7 weeks
Award:
University Certificate of Study
Qualification:
NFQ Level 8 Minor Award
Faculty: Science and Engineering
Course Type: Professional/Flexible, Online
Fees: For Information on Fees, see section below.

Contact(s):

Name: SEFLC
Address: Science & Engineering Flexible Learning Centre Email: seflc@ul.ie
Express Interest

Register your interest here for more information or to be notified when applications are open.

Brief Description

This course qualifies for 80% funding under the HCI Micro-Credential Course Learner Subsidy. Check fees section for details and eligibility.  Please Note:   Applicants may only apply for and receive, one subsidised course per semester. 

Please ensure you enter the Module Code below when applying for this MicroCred. Applications without this cannot be processed. You may apply for more than one MicroCred under the same application.

Module Description

Module Code

NFQ Level

ECTS Credits

Next Intake

  Cost 
Introduction to Scientific Computing for AI   CE4021 8 6

Sep 2024
 

 €1,000

This micro-credential represents a single module within a larger further award (eg. Certificate, Diploma, Masters). By taking this micro-credential you may be eligible to apply for a credit exemption should you progress to study for a further award. The programmes associated with this MicroCred are:

 

This module will provide an introduction to the core mathematics and core programming skills required in machine learning. On the successful completion of this module participants will be able to:

  • Use Python to implement standard programming constructs.
  • Understand the use of Calculus, Linear Algebra and Probability Theory in machine learning applications
  • Apply Python to simple machine learning models and data visualisations.

Using a number of E-tivities you will hone your Python coding skills as well as your knowledge and skills in Calculus, Linear Algebra and Probability Theory as the three core areas of mathematics that underpin machine learning.

This module is suitable for applicants with previous exposure to mathematics and computer programming languages. 

Entry requirements are established to ensure the learner can engage with the course material and assessments, at a level suitable to their needs, and the academic requirements of the module. By applying to this micro-credential, you are confirming that you have reviewed and understand any such requirements, and that you meet the eligibility criteria for admission.

Successful completion of this module does not automatically qualify you for entry into a further award. All programme applicants must meet the entry requirements listed if applying for a further award.

The fees for this programme are €1,000

HCI Micro-Credential Course Learner Subsidy - Candidates who satisfy the eligibility criteria can qualify for 80% funding subject to the availability of places. To clarify eligibility please go to Eligibility Criteria 

Please click here for information on funding and scholarships.