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Artificial intelligence

Individual course

Max amount of FITech students: 150

Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course.

The course presents a range of central AI techniques and provides the students with an extensive toolbox for solving problems in practice. For applications that require high degree of adaptation, specific techniques such as (deep) machine learning, reinforcement learning, and graphical models are included. These methods are instrumental for decision under uncertainty. For the purposes of knowledge representation and reasoning, different logical representations such as formulas and rules are covered. These representations establish the foundations for declarative problem solving and enable the use of state-of-the-art solver technology to search for solutions. The course also encourages students to combine the logical and machine learning perspectives when solving future problems.

Artificial intelligence (AI) tackles complex real-world problems, such as question answering, speech recognition, social network analysis, and task scheduling, with rigorous mathematical methods and tools. The goal of this course is to give an in-depth introduction to AI methodology while approaching the topic from the perspective of concrete application problems.

Learning outcomes

Having completed the course, you have

  • gained a comprehensive overview of AI and understand its fundamental principles related to machine learning and logical reasoning.
  • excellent premises for solving real-world problems with modern AI techniques and building intelligent systems by implementing such techniques.

Course material

The course material will be available on the course page.

Completion methods

  • Mandatory weekly homework, including programming tasks
  • The course can be completed online excluding the exam on campus (material and homework online).
  • Exam on Thu 20.4.2023 at 17.00–20.00.

More information in the Aalto University study guide.

You can get a digital badge after completing this course.

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Further information about the studies

Aalto University
Kirsi Viitaharju

Contact person for applications

FITech Network University
Fanny Qvickström, Student services specialist
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Category:
ICT Studies
Topic:
AI and machine learning
Course code:
CS-E4800
Study credits:
5 ECTS
Price:
0 €
Course level:
Teaching period:
12.1.–13.4.2023
Application deadline:
4.1.2023
Host university:
Aalto University
Who can apply:
Adult learner,
Degree student
Teaching method:
Blended
Teaching language:
English
General prerequisites:
Programming skills (CS-A1110 or equivalent), data structures and algorithms (CS-A1140 or equivalent), basics of probability theory (MS-A050* or equivalent) and linear algebra.
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