University of Glasgow
Area of Study
Computer Engineering, Computer Science
Taught In English
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits2.5
Recommended U.S. Quarter Units1
Hours & Credits
A practical introduction to the foundations of machine learning.
3 hours per week.
Requirements of Entry
Mandatory Entry Requirements Working knowledge of mathematics (e.g., matrices, linear spaces and basic geometry, as covered in, for example, Math1RS or Math1RT).
Recommended Entry Requirements Some experience in probability and statistics would be useful but is not essential.
Practical coursework 20% and examination 80%.
The coursework cannot be redone because the feedback provided to the students after the original coursework would give any students redoing the coursework an unfair advantage.
Main Assessment In: April/May
To present students with an introduction to the general theory of learning from data and to a number of popular Machine Learning methods.
Intended Learning Outcomes of Course
By the end of the course students will be able to:
1:Discuss the principle of learning from data;
2:Describe the main machine learning methods: regression, classification, clustering, probability density estimation and dimensionality reduction;
3:Use a selection of common machine learning algorithms and be aware of when one is to be favoured over other;
4:Implement and use machine learning algorithms in Matlab;
5:Discuss the major machine learning application area in, for example, Information Retrieval,
Human Computer Interaction, Bioinformatics and Computer Visions & Graphics;
6:Detail emerging machine learning approaches such as non-parametric methods and sampling techniques.
Courses and course hours of instruction are subject to change.
Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.
ECTS (European Credit Transfer and Accumulation System) credits are converted to semester credits/quarter units differently among U.S. universities. Students should confirm the conversion scale used at their home university when determining credit transfer.
Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.