FORK 1014 Preparatory course in Mathematics for Data Science
- Course description for FORK 1014 Preparatory course in Mathematics for Data Science
- This is a preparatory course for the Master of Science in Data Science covering linear algebra
Mathematics
Reading
- The lecture notes from the course will be posted after each lecture.
- Chapter 1-6 of [E] Eriksen, Graduate Mathematics for Business, Economics and Finance, Cappelen Damm 2021 is compulsory reading for the preparatory course.
Lecture plan
- This is the lecture plan for August 2024.
- I can be contacted by email. My office in BI Nydalen is B3y-085.
| Date: | Topic: | Reading: | Exercises: |
|---|---|---|---|
| Mon Aug 19: 12-15, C2-045 | Lecture 1: Vectors and vector spaces. Linear systems. | [E] 1-2 | [E] 1.5, 1.8, 2.2 - 2.3, 2.15 |
| Tue Aug 20: 12-15, C2-045 | Lecture 2: Matrices. Eigenvalues and eigenvectors. | [E] 3, 4.1 - 4.3, 4.5 | [E] 3.1, 3.6, 3.8, 4.3, 4.11 |
| Wed Aug 21: 12-15, C2-045 | Lecture 3: Definiteness of quadratic forms. Optimization. | [E] 4.6, 5.1 - 5.6, 6.1 - 6.4, 6.7 | [E] 4.12a, 4.13ab, 5.1bg, 5.3bg, 6.11 |