JOIN.bsc - Bachelor's Thesis and Seminar, Lecture, 9.9.2022-2.12.2022

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• Select topic Welcome to the JOIN.BSc Bachelor Thesis Seminar for Autumn 2022!

  Welcome to the JOIN.BSc Bachelor Thesis Seminar for Autumn 2022!
  
  

  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!

  Data science (SCI3095): https://wiki.aalto.fi/pages/viewpage.action?pageId=216935699

  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

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

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

  Chemical Engineering (CHEM3054): Please check the list of topics (excel) at the Finnish Seminar.
  

  **TIK students (SCI3027): https://wiki.aalto.fi/display/SCI3027/Topics+Autumn+2022
  

  
  

  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 Specialist: Kirsi Heino
  

  Speech Communication: Henriette ("Henni") Kervinen
  

  Finnish Maturity Exam: Jepa Piirainen

  Swedish Maturity Exam: Sofia Sevón
  

  LaTeX tutoring: Inkar Mizambek
  

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