LEARNING OUTCOMES
After the course the student should be able to identify the main trends in how AI and machine learning are being applied and making an impact in academic and industrial research & development in chemistry.
Credits: 1
Schedule: 27.11.2024 - 21.05.2025
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Miguel Caro Bayo
Contact information for the course (applies in this implementation):
The contact persons for the course are teacher-in-charge Miguel Caro (miguel.caro@aalto.fi) and teaching assistant Rina Ibragimova (rina.ibragimova@aalto.fi).
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
Selected seminars by representatives of the Finnish chemical industry and academia, with some international speakers, to provide a balanced overview of the use of AI and machine learning in chemical research and development.
applies in this implementation
This course follows the format of a seminar series. Up-to-date information about the seminars (times, speakers, etc.) can be accessed from this link:
https://ocamm.fi/2024/08/22/seminar-series-ai-and-machine-learning-in-chemical-research-and-industry/
The seminars are open to all members of the public. Registered students (max. 25) can additionally obtain 1 ECTS credit by returning a learning log (short report) after the seminars.
Assessment Methods and Criteria
valid for whole curriculum period:
In-person attendance to the seminars (with some flexibility, e.g., can miss 10-20%) Learning logs (with some flexibility, e.g., can miss 10-20%).
applies in this implementation
The students who wish to obtain the credir must attend the seminars and return a learning log after each seminar. The learning log (1 page approx.) should summarize the contents of the seminar and reflect on it: what have you learned, what do you think are the implications of the reported research on science and society, etc.
Workload
valid for whole curriculum period:
The course contents will be delivered during the seminars as traditional lectures. The students will be required to compile a learning log after the sessions, to reflect upon their content.
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2024-2025 Autumn and spring I-V (the course will extend over the whole academic year, e.g., 1 seminar per month)
2025-2026 Autumn and spring I-V
A course implementation may be cancelled if the number of students enrolled to the course implementation does not meet the required minimum of five students. In the case of cancelled course implementations, the students enrolled to them must be provided with an alternative way of completing the course or be advised to take some other applicable course.
Registration: Maximum of 25 registered students. Priority to CHEM students. Within CHEM students, priority to MSc and PhD students.