Topic outline


  • This online seminar is designed to provide support, guidance, and feedback to students writing their Bachelor theses in English. We accept students from the five English Bachelor programmes in CHEM, ENG, ELEC, and SCI:

    • Chemical Engineering (CHEM)
    • Computational Engineering (ENG)
    • Data Science (SCI)
    • Digital Systems & Design (ELEC)
    • Quantum Technology (ELEC & SCI)


    Seminar thesis topics

    It is strongly recommended to have chosen a topic and advisor before the first session (27.05)!  

    Chemical Engineering (CHEM3054): You will find the list of topics (excel) at the Finnish Seminar. Please contact Juha Oksa (juha.oksa@aalto.fi) to get access to that list.

    Computational Engineering (ENG3082): https://wiki.aalto.fi/display/CBTT/CoE+BSc+thesis+topics

    Data Science (SCI3095): https://wiki.aalto.fi/pages/viewpage.action?pageId=286986023

    Digital Systems and Design (ELEC3056): https://wiki.aalto.fi/display/2PN/Digital+Systems+and+Design+bachelor+%28final+project+and+thesis%29%3A+Current+topics+and+instructions

    Quantum Technology (SCI3103): https://wiki.aalto.fi/pages/viewpage.action?spaceKey=QTTHESIS&title=Quantum+Technology+major+-+BSc+thesis+topics

    **TIK students (SCI3027): https://wiki.aalto.fi/display/SCI3027/Topic+Area%3A+Topics+Spring+2024


    Learning objectives

    Upon completion of the seminar, students will be able to

    • demonstrate in-depth knowledge of a field-specific topic through writing and presenting a Bachelor thesis,
    • search for, critically assess, and integrate sources into the argumentation of their thesis,
    • recognise standard citation practices and plagiarism-avoidance strategies for proper documentation of sources,
    • identify the organisational and language features specific to a Bachelor thesis in their field of study, and
    • provide critical feedback to others' work and respond to feedback on their own work.

    Pre-requisites

    A minimum of 90 ECTS credits of BSc degree studies completed with an emphasis on basic and major studies. A student must have a valid personal study plan approved before entering the seminar. It is also strongly recommended that students have already taken the written (w) skills component of their mandatory foreign language credits.


    Seminar Team Contact Details

    You can contact us at firstname.lastname@aalto.fi. Please use the course code (JOIN.BSc) in the message.
    Coordinator: Maurice Forget
    Chemical Engineering Thesis Supervisor: Michael Hummel
    Computational Engineering Thesis Supervisor: Luc St-Pierre
    Data Science Thesis Supervisor: Maarit Korpi-Lagg
    Digital Systems & Design Thesis Supervisor: Martin Andraud
    Quantum Technology Thesis Supervisor: Matti Raasakka

    Information Specialists: Evi Lemström & Kirsi Heino
    Speech Communication: Tuuli Nilsson
    Finnish Maturity Exam: Tapani Möttönen
    Swedish Maturity Exam: Sofia Sevón
    LaTeX tutoring: Egor Eremin
    • Forum icon
      Announcements Forum
      Not available unless: You are a(n) Student
      For teacher use only! We announce important information here.
    • Forum icon
      General discussion Forum
      Not available unless: You are a(n) Student

      Have a question about an assignment? Run into a technical problem? Something else related to the seminar? Post your question or comment here.