Micro-Credential Credit Bearing

Micro-Credential in


Course Category:

Digital Skill & Technology, Artificial Intelligence, AI & Robotics

Mode of Delivery: 


Language of Instruction:


Level of the Course:

Year 1


Credit Value:

3 credits


14 Academic Weeks

Total Learning Hours:

120 hours


This course introduces students to algorithms and data structures used to develop deep neural network architectures. This course focuses on the design of algorithms and the rigorous analysis of their efficiency. Topics include the basic definitions and tools of algorithms, dynamic programming, sorting, searching; data structures and their applications; graph and string processing algorithms.

Learning Outcomes

  1. Identify elementary data structures
  2. Identify elementary data structures
  3. Explain and apply graph- and string-processing algorithms

Assessment Methods 
and Types:

Test – 20%, Assignments – 40% and Final Exam – 40%

Content Outline:

  1. Union−Find, Analysis of Algorithms
  2. Stacks and Queues, Elementary & Binary Sorts
  3. Mergesort, Quicksort, Priority Queues
  4. Undirected Graphs, Directed Graphs, Minimum Spanning Trees
  5. Shortest Paths, Maximum Flow and Minimum Cut, Radix Sorts, Tries

Additional Requirement:

  • Ability to communicate in English Intermediate
  • Knowledge of numbers and calculations

Entry Requirement:

Minimum Age: 19 years old

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Next Intake

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Time Table

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Course Price:


Why Choose a Micro-Credential Credit Bearing?

Pathway to Academic Qualification
Stackable & Modulised Learning
Competency & Versatility
Recognition & Accredited
14 Academic Weeks
Join RU Class
Doing While Learning
Digital Credentials
Life Long Learning

Pathway to the Qualification

Entry Requirement of the Origin Programme

Bachelor of
Information Systems (Honours) in
Artificial Intelligence

Bachelor of
Information Systems (Honours) in
Artificial Intelligence

Credit Transfer for BAI is temporarily not available