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CS-E4710 - Machine Learning: Supervised Methods D, 08.09.2020-18.12.2020

This course space end date is set to 18.12.2020 Search Courses: CS-E4710

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Syllabus
 

Assignments

  • Assignments

    Assignments

    Contents

    There will be six sets of assignments, to be completed as home work, according to the schedule below. The exercises are mixtures of pen-and-paper and computational exercises. The answers to the assignments are submitted by answering to a my courses Quiz below by the indicated deadline.

    There are some information on how to submit an assignment (quiz)  in "https://docs.moodle.org/38/en/Using_Quiz", which can be helpful. Please remember to submit your answers once you have finished your attempts to have your quiz scored.

    Maximum of 30% of total course points are available through completing the assignments.

    Solution sessions

    In a solution session, the solutions to the exercises are presented by the course assistant. Attending the solution sessions is voluntary.

    Q & A sessions

    If you have questions on how to complete the assignments we organize Question & Answer sessions (see schedule below) where you can ask the course assistant. Attending the Q & A sessions is voluntary.

    Note that the questions should be submitted to the "general discussion" section 24 hours before the Q & A session. In the "general discussion" section for each question of an exercise, a topic is created, for example: "EX1-QS2" a topic created for question 2 of the first exercise. You can submit your doubts about a specific question by replying to that particular question's created topic.

    Schedule

    Assignments are published according to the schedule below. Submission deadlines are absolute and late submissions will not be taken into account.

    The answers are submitted by filling in the the Quiz below.

    Assignment Publication dateQ&A session Submission deadlineSolution sessionSolutions published
    18.9.2020 10:0011.9.2020 10:0016.9.2020 23:5918.9.2020 10:0018.9.2020 10:00
    218.9.2020 17:0025.9.2020 10:0030.9.2020 23:592.10.2020 10:002.10.2020 10:00
    32.10.2020 17:009.10.2020 10:0014.10.2020 23:5916.10.2020 10:0016.10.2020 10:00
    426.10.2020 17:0030.10.2020 10:004.11.2020 23:596.11.2020 10:006.11.2020 10:00
    56.11.2020 17:0013.11.2020 10:0018.11.2020 23:5920.11.2020 10:0020.11.2020 10:00
    620.11.2020 17:0027.11.2020 10:002.12.2020 23:594.12.2020 10:004.12.2020 10:00

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      QuizQuiz 2
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      QuizQuiz 6
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  • CS-E4710 - Machine Learning: Supervised Methods D, 08.09.2020-18.12.2020
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  • Schools
    • School of Arts, Design, and Architecture (ARTS)
    • School of Business (BIZ)
    • School of Chemical Engineering (CHEM)
    • –sGuides for students (CHEM)
    • – Instructions for report writing (CHEM)
    • School of Electrical Engineering (ELEC)
    • School of Engineering (ENG)
    • School of Science (SCI)
    • Language Centre
    • Open University
    • Library
    • Aalto university pedagogical training program
    • UNI (exams)
    • Sandbox
  • Service Links
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    • - MyCourses instructions for Students
    • - Teacher book your online session with a specialist
    • - Digital tools for teaching
    • - Personal data protection instructions for teachers
    • - Workspace for thesis supervision
    • Sisu
    • Student guide
    • Courses.aalto.fi
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    • - Imagoa / Open science and images
    • IT Services
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    • ASU Aalto Student Union
    • Aalto Marketplace
  • ALLWELL?
    • Study Skills
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    • Starting Point of Wellbeing
    • About AllWell? study well-being questionnaire
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