Introduction to Artificial Intelligence
- Lectures on Fridays
- Exercise sessions on Tuesdays
Prof. Arno Solin
Dr. William Wilkinson, Yuxin Hou, Ari Heljakka, and Paul Chang
For practical questions, please contact the Head Teaching Assistant Dr. William Wilkinson (email@example.com). Include the course code "CS-C1000" in the message subject.
This course is intended as a primer in artificial intelligence (AI). The course goes through basic concepts (with examples) in AI, covering topics in symbolic AI, data mining, and machine learning. The overall goal is demystifying these concepts and giving the students a basic understanding about the past, the present, and a bit about the future of AI. This course is intended as a non-technical introduction, which means that prior skills in programming or mathematics are not required.
After the course, the student has an understanding about basic concepts in AI, ML. The student should understand the setup behind common AI systems, and know some of the possibilities and limitations they have.
Lecture quizzes, essays, and computer exercise demos. Each of these need to be completed, and the grade is compiled by combination of all these three.
Lectures 12 h, exercise sessions 12 h, independent work 55 h. Students are awarded 3 cr for completing the course.
Lecture material, additional reading material
Students from all study programs are welcome, and thus no formal requirements are set. Basic understanding about concepts in high-school mathematics and statistics. Students with no background in engineering are encouraged to glance through, e.g., the excellent material of Elements of AI (https://www.elementsofai.com/).