Courses for doctoral students in period II (2024-2025)

Writing doctoral research

LC-1350 Writing Doctoral Research for Engineering and Science 21.10-27.11.2024.

LC-1350 Writing Doctoral Research for Engineering and Science aims to help doctoral students to develop their academic writing skills while writing up their research. Therefore, participants need to be in the process of writing either an article for publication or their dissertation. Students’ own texts form a key part of the course as they work to improve them. The overall aim of the course is to enable participants to write up their research more effectively and with greater confidence for an international readership. More information in Sisu.

When? This course takes place on Mon/Wed 12:30-15:45 on campus
Registration is open in Sisu until 23:59 on Oct 14. The next opportunity to take this course will be in period 4.
 

LCB-1350 Writing Doctoral Research for Business and Management 21.10-27.11.2024.

LCB-1350 Writing Doctoral Research for Business and Administration aims to help doctoral students to develop their academic writing skills while writing up their research. Therefore, participants need to be in the process of writing either an article for publication or their dissertation. Students’ own texts form a key part of the course as they work to improve them. The overall aim of the course is to enable participants to write up their research more effectively and with greater confidence for an international readership. More information in Sisu.

When? This course takes place on Mon/Wed 12:30-15:45 on campus
Registration is open in Sisu until 23:59 on Oct 14. Note: this course is offered only once a year.

Academic Writing for Doctoral Researchers — an A.I. first approach, 28.10.-15.12.2024, online 

This doctoral level academic writing course will enable you to develop your skills as an independent writer while making full use of the available AI tools to maximise your academic impact. This course is flexible and up-to-date. The course covers all the main topics in academic writing, dealing with issues from accuracy to formality and cohesion. It will assist you in understanding and structuring your articles and the summarising chapter. You will be expected to make use of large language models such as ChatGPT, and you will be taught to use them effectively. More information.

Registration period: 2.5.–30.9.2024 
Kivita course - registration via Study info.

Communicating and presenting doctoral research

LC-1336 Popularize your Research 24.10-5.12.2024 (in Zoom)

Time to let the general public know about your research! Join us to work on one oral and one written project where you, for instance, prepare a press release about your research, rehearse for a TV or radio interview, or something else, relevant to you and your research. More information in Sisu.

When? This course takes place on Thu 9:00-12:00 in Zoom
Registration is open in Sisu until 23:59 on Oct 14. Note: This course is offered only once a year.

LC-1331 Presenting Doctoral Research 22.10-26.11.2024

This is a course aimed at supporting doctoral students (from any Aalto school) in developing skills in presenting their research. The course is intended for participants who will be presenting soon either at a conference or in a seminar. Students’ own presentations form a key part of the course. During the course, students plan, structure, and visualize their presentations and then practice giving them. The practice sessions include giving a rehearsal presentation, upon which feedback is given and then implemented before giving a final presentation. Participants also practice strategies for asking, receiving, and deflecting questions from the audience. More information in Sisu.

When? This course takes place on Tue 12:30-15:45 on campus
Registration is open in Sisu until Oct 17. The next opportunity to take this course will be in period 4.

Machine Learning, Data Science and Artificial Intelligence

CS-E407522 - Special Course in Machine Learning, Data Science and Artificial Intelligence: Introduction to Geometric Deep Learning, 5 ECTS, 24.10.2024-13.2.2025

Content: Introduction to geometric deep learning, graph neural networks, symmetries, and differential geometry applied to machine learning (4 introductory lectures and 3 notebook-based homework exercises), research articles on various aspects of geometric deep learning.

Study methods: Weekly seminar sessions consisting of introductory lectures, student presentations for selected scientific articles, discussions, and feedback sessions.

Prerequisites: Basic machine learning, mathematics or equivalent skills.

Registration: in Sisu, more information in MyCourses

Feel free to reach out to [email protected] or [email protected]  if you have any question about the course.

Working life skills

LC-0614 Developing Global Competence: Working in an International Virtual Team 22.10-26.11.2024

Unite! online course: How to work effectively in global virtual teams?

The capacity to communicate and work effectively and appropriately together with people from different backgrounds is increasingly seen as a vital core competence for graduates. This course will enable you to establish relevant knowledge and communication skills to work effectively in Global Virtual Teams (GVTs). You will be working in small teams with students from different Unite! universities to complete the coursework. This will give you exciting learning opportunities to link the course materials with authentic teamwork experiences. More information in Sisu.

When? The online course takes place Tuesdays between 22 Oct to 26 Nov 2024 at EET 10:15-13:00 
Registration is open in Sisu.

Sustainability (UPDATED 26.9.2024)

AXM-E0105 Co-creating Futures Solutions 30.9.22.10.2024

Schedule: 30.9.–1.10., 9.15-16.00, 21.10.-22.10., 9.15-16.00

Location: Experimental Studio 1 (3^rd floor), Marsio 

Sign up deadline: 27.9 17:00

Credits: 3

MyCourses: https://mycourses.aalto.fi/course/view.php?id=45487

Content

Interested in attending to real-life issues that seem impossible or too complex to resolve? Do you want to engage in identifying problems in company processes that transform their practices? 

In this course students engage in challenge identification and solutions ideation processes in university-wide teams. The course is built on 2 intensive two-day workshops and co-creative teamwork in between these sessions. Students form groups in which they tackle current and future-oriented ethical and sustainability challenges related to industry processes and practices. Student teams are mentored by Aalto University faculty and business representatives from Moomin Characters Oy, Rights and Brands, Taiste Oy, Delipap Oy, Hygiene of Sweden AB, Jalotofu and Null Division .

The aim of the course is to explore ethical, sustainable challenges and ideate for possible solutions in four different categories: digital; services/experiences; hygiene; and food. Students utilize creativity and complex thinking skills while identifying broad problems/challenges within the chosen categories, and ideate possible immediate and future solutions through co-creation and collaboration.