Maths for Machine Learning

Undergraduate

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Mode
Mode
Your studies will be on-campus, and may include some online delivery
On campus
area/catalogue icon
Area/Catalogue
MATH 1022
Course ID icon
Course ID
204141
Campus icon
Campus
Mawson Lakes, Adelaide City Campus East
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course owner
Course owner
School of Mathematical Science
Course level icon
Course level
1
Work Integrated Learning course
Work Integrated Learning course
No
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
Discipline group A
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes

Course overview

This course aims to equip students with mathematical skills critical for understanding and applying machine learning algorithms. Students will be able to explain and apply the mathematical concepts essential for machine learning, focusing on calculus, linear algebra, optimisation, probability, and information theory. Essential for machine learning and data science curricula, this course strengthens mathematical foundations, supporting advanced studies and practical applications in the field.

  • Linear Algebra
  • Multivariable Calculus
  • Probability

Course learning outcomes

  • Apply techniques from linear algebra to solve problems involving vectors and matrices
  • Formulate and solve problems using multivariable functions and derivatives
  • Perform computations with random variables, probabilities and entropy
  • Use Python to verify solutions and produce solutions for more complex problems
  • Present results of calculations in a clear and logical manner

Prerequisite(s)

  • Must have completed MATH1000 Foundations in Mathematics OR must have completed SACE Stage 2 Mathematical Methods or equivalent

Corequisite(s)

N/A

Antirequisite(s)

N/A

Assumed knowledge

N/A

Textbook(s)

N/A

Inherent requirements

N/A

Other resources

N/A

Assessment

  • Short Response Questions, Short Response Questions, Short Response Questions, Short Response Questions, Short Response Questions, Short Response Questions, Short Response Questions, Short Response Questions, Short Response Questions – 10%
  • Assignment – 15%
  • Assignment – 15%
  • Short Response Questions – 20%
  • Exam – 40%
Degree list
The following degrees include this course
Bachelor of Computer Science (Honours) majoring in Artificial Intelligence and Machine Learning
Bachelor of Computer Science majoring in Artificial Intelligence and Machine Learning