University Course Planner The University of Adelaide Australia

COMP SCI 7314 - Introduction to Statistical Machine Learning

Career: Postgraduate Coursework
Units: 3
Term: Trimester 2
Campus: North Terrace
Contact: Up to 2 hours per week
Restriction: Not available for Master of Computer Science/Software Engineering students
Available for Study Abroad and Exchange: Yes
Available for Non-Award Study: No
Pre-Requisite: COMP SCI 7103, COMP SCI 7202, COMP SCI 7202B, COMP SCI 7208 or COMP SCI 7211
Assessment: Written exam and/or assignments
Syllabus:

Statistical Machine Learning is concerned with algorithms that automatically improve their performance through "learning". For example, computer programs that learn to detect humans in images/video; predict stock markets, and rank web pages. Statistical machine learning has emerged mainly from computer science and artificial intelligence, and has connections to a variety of related subjects including statistics, applied mathematics and pattern analysis. Applications include image and audio signal analysis, data mining, bioinformatics and exploratory data analysis in natural science and engineering. This is an introductory course on statistical machine learning which presents an overview of many fundamental concepts, popular techniques, and algorithms in statistical machine learning. It covers basic topics such as dimensionality reduction, linear classification and regression as well as more recent topics such as ensemble learning/boosting, support vector machines, kernel methods and manifold learning. This course will provide the students the basic ideas and intuition behind modern statistical machine learning methods. After studying this course, students will understand how, why, and when machine learning works on practical problems.

Course Fees

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Student Status

Domestic
International

What type of place are you studying in

Commonwealth supported
Full fee paying

Study Level

Undergraduate
Postgraduate Coursework
Non Award

Program of Study

Study Abroad student tuition fees are available here

Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information

Units
EFTSL
Amount
3
0.125
          
  


Course Outline

A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here


Critical Dates

Term Last Day to Add Online Census Date Last Day to WNF Last Day to WF
Trimester 2 Mon 06/06/2022 Thu 09/06/2022 Fri 22/07/2022 Wed 17/08/2022


Class Details

Enrolment Class: Seminar
Class Nbr Section Size Available Dates Days Time Location
33357 SE01 60 1 25 May - 17 Aug Wednesday 2pm - 4pm Mawson, G19, Mawson Lecture Theatre
Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled.
Related Class: Workshop
Class Nbr Section Size Available Dates Days Time Location
33256 WR01 60 1 10 Jun - 10 Jun Friday 1pm - 2pm Schulz, 307, Teaching Room
1 Jul - 1 Jul Friday 1pm - 2pm Schulz, 307, Teaching Room
22 Jul - 22 Jul Friday 1pm - 2pm Schulz, 307, Teaching Room
12 Aug - 12 Aug Friday 1pm - 2pm Schulz, 307, Teaching Room
Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled.