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CS5062: MACHINE LEARNING (2020-2021)

Last modified: 05 Aug 2021 13:04


Course Overview

This course will deliver the most sophisticated Machine Learning methodologies and algorithms which would be illustrated across a wide range of applications including but not limited to images, videos, health, time series data, language processing, etc. This course provides students with the Machine Learning principles for continuing learning and working in the area of Data Science and Artificial Intelligence. 

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Dewei Yi
  • Dr Mingjun Zhong

What courses & programmes must have been taken before this course?

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

  • CS551U Machine Learning (Studied)
  • CS551V Machine Learning (Studied)

Are there a limited number of places available?

No

Course Description

This course will present advanced Machine Learning principles with applications. Practical will help students to understand principles applying to real-world applications using cutting-edge tools and libraries. The lectures will cover supervised learning, unsupervised learning, and as well as reinforcement learning. This will include regression and classification models, stochastic gradient descent algorithms, automatic differentiation, deep neural networks, model assessment and selection, model evaluation, adversarial models, reinforcement learning, unsupervised learning models.  


In light of Covid-19 this information is indicative and may be subject to change.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

  • 1 Practical during University weeks 14 - 16
  • 3 Practicals during University weeks 14 - 16

More Information about Week Numbers


In light of Covid-19 and the move to blended learning delivery the assessment information advertised for second half-session courses may be subject to change. All updates for second-half session courses will be actioned in advance of the second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

Project and Implementation of Software/Program

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks

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Feedback
Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Project and Implementation of Software/Program

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks

Look up Week Numbers

Feedback
Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Formative Assessment

There are no assessments for this course.

Resit Assessments

Resubmission of failed elements

Assessment Type Summative Weighting
Assessment Weeks Feedback Weeks

Look up Week Numbers

Feedback
Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
FactualRememberILO’s for this course are available in the course guide.

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