Introduction to Artificial Intelligence (3 cr)
Code: AE00CM73-3004
General information
Enrollment
11.11.2024 - 19.02.2025
Timing
03.03.2025 - 27.04.2025
Credits
3 op
Teaching languages
- English
Degree programmes
- Professional Studies in Technology
- Bachelor of Engineering, Automation Engineering
Teachers
- Pasi Mikkonen
Student groups
-
AE22Bachelor of Engineering, Automation Engineering
-
IEPIP24International Professional Studies
Objective
Students will be competent in using the mathematical methods described in the course contents to solve practical mathematical problems.
Content
Minimization by gradient descent
Linear regression
Logistic regression
Neural networks
Materials
to be announced at the beginning of the course
Teaching methods
lectures and exercises
Student workload
81h
Further information
80% attendance in lectures and exercises
Evaluation scale
1-5
Assessment criteria, satisfactory (1)
satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods discussed in the course, and is able to apply them to usual problems.
Assessment criteria, good (3)
good (3-4): The student is familiar with the concepts and methods discussed in the course, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.
Assessment criteria, excellent (5)
excellent (5): The student is familiar with the concepts and methods discussed in the course, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned
Assessment methods and criteria
assignments
Qualifications
Algebra and geometry, Vectors and matrices, Differential and integral calculus, Automation technology mathematics