MAT1080 – Mathematical foundation of machine learning
Course description
Course content
The course provides the mathematical foundation for studies in machine learning. It covers elementary functions and differentiation in one, as well as several variables. The course will also provide an introduction to basic concepts and results in linear algebra, with an emphasis on vector and matrix calculus. The course builds on R1 or S1 + S2 from upper secondary school.
Learning outcome
After completing the course:
- you have a good insight into the mathematical concept of function in one or more variables, and you are familiar with the elementary functions, such as polynomials, rational functions, trigonometric functions and exponential functions
- you understand the concept of limit, and you know what a continuous function is
- you know the concept of algorithm and how it can be used to solve mathematical problems
- you have a good insight into and good mathematical skills in derivation, in one and more variables. You also know the interpretations of the derivative in different fields and what is involved in the concept of anti-derivation
- you are familiar with applications of differential calculus, especially aimed at optimization and applications in machine learning
- you know different methods for solving linear systems of equations
- you have a good insight into the concept of matrices and you can calculate with matrices and vectors
- you know what subspaces and linear independence are, and you know about natural subspaces related to matrices
- you have insight into the concepts of basis and dimension of a vector space
- you know the concepts of eigenvalues ??and eigenvectors and relevant applications of these
Admission to the course
Students at UiO register for courses and exams in Studentweb.
Special admission requirements
In addition to fulfilling the?Higher Education Entrance Qualification, applicants have to meet the following special admission requirements:
Mathematics R1 (or Mathematics S1 and S2)
And in addition one of these:
Mathematics R2
Physics (1+2)
Chemistry (1+2)
Biology (1+2)
Information technology (1+2)
Geosciences (1+2)
Technology and theories of research (1+2)
The special admission requirements may also be covered by?equivalent studies from Norwegian upper secondary school or by other equivalent studies?(in Norwegian).
Overlapping courses
- 3 credits overlap with MAT1100 – Calculus.
- 3 credits overlap with ECON1100 – Matematikk I.
Teaching
4 hours of lectures and 2 hours of problem sessions in groups per week throughout the semester.
The number of groups offered can be adjusted during the semester, depending on attendance.
Examination
Final written exam which counts 100 % towards the final grade.?
This course has 2 mandatory assignments that must be approved before you can sit the final exam.
Examination support material
Approved calculator?
Information about approved calculators in Norwegian.
Language of examination
The examination text is given in Norwegian. You may submit your response in Norwegian, Swedish, Danish or English.
Grading scale
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Resit an examination
This course offers both postponed and resit of examination. Read more:
More about examinations at UiO
- Use of sources and citations
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.