Micro-Credential in
Discrete Mathematics
BAI12023
Course Category:
Digital Skill & Technology, Artificial Intelligence, OOP, Technology Skill
Mode of Delivery:
Conventional / ODL
Language of Instruction:
English
Level of the Course:
Year 1
Prerequisite:
Not Applicable
Credit Value:
3 credits
Duration:
14 Academic Weeks
Total Learning Hours:
120 hours
Synopsis:
The aim of this course is to provide students with the skills and knowledge to apply discrete mathematics to model and solve problems in computer science, data science and AI. Topics covered include mathematical logic and proofs, set theory, counting and probability, mathematical sequences, recursion and inference and graph theory. Students will learn how to apply the theories to solve simple problems in AI, data science and computer science.
Learning Outcomes
- Describe and explain key topics in discrete mathematics and their applications in AI, data science and computer science.
- Demonstrate competence in using mathematical logic, set theory, and mathematical induction and recursion to model and solve simple problems in AI, data science and computer science.
- Demonstrate competence in applying graph theory to model and solve simple problems in AI, data science and computer science.
Assessment Methods
and Types:
Content Outline:
- Introduction to Discrete Mathematics, Mathematical Logic and Proofs
- Set Theory, Functions and Relations
- Counting and Probability
- Sequences, Mathematical Induction and Recursion
- Graph Theory
Additional Requirement:
Computer
Entry Requirement:
Minimum Age: 19 years old
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Time Table
Coming Soon
Course Price:
RM1,700.00
Why Choose a Micro-Credential Credit Bearing?
Pathway to Academic Qualification
Stackable & Modulised Learning
Credits
Value
Competency & Versatility
Recognition & Accredited
14 Academic Weeks
Join RU Class
Doing While Learning
Digital Credentials
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Entry Requirement of the Origin Programme
