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MS-C1620 - Statistical inference, 07.01.2020-08.04.2020

This course space end date is set to 08.04.2020 Search Courses: MS-C1620

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Syllabus
 

How to pass the course

  • How to pass the course

    How to pass the course

    Grading

    The course grade (0-5) is determined based on the total of exam points (0-24) and exercise points (0-6),

    • Total points = exam points + exercise points.
    The total points correspond to the following course grades,
    • 15 total points <-> grade 1
    • 16 total points <-> grade 2
    • 19 total points <-> grade 3
    • 22 total points <-> grade 4
    • 25 total points <-> grade 5

    Additionally, grade 1 is also awarded to those who get 12 points from the exam alone. 

    Note, especially, that the highest grade (5) can not be obtained without any exercise points. The reason for this is that learning to use R, and learning to conduct statistical analysis in practice are essential learning goals of the course.

    The exercise points are valid in all exams organized during the year 2020.

    If you miss some exercise session (e.g. the first week because of travels), please study the problems on your own. You can still continue the course.

    If you cannot register to any session (because they are full), please come to a suitable session anyway. At least in the beginning, we allow students to visit different exercise groups. We will find out if we can create more groups.

    Exam

    You may take with you in the exam your writing equipment and one A4 of hand-written notes. The rules for the note are: size A4, text on one side only, must be hand-written, your name is written on the top right corner of the note.

    Exercises

    There are several exercise groups in the course. Please attend one of them weekly and arrive in time in order to get exercise points from the homework.

    You can find the group times and locations in WebOodi.

    Assistant emails are of the form firstname.lastname@aalto.fi.

    The course exercises consist of two kinds of problems, homework problems and class problems.

    • Homework problems: the first problem(s) of each week's exercise sheet is a homework problem which must be completed before that week's exercise session. Bring your solution to the homework problems with you to the exercise sessions (exception: first week's exercise). In the beginning of the exercise session, the course assistant will randomly ask some people who have solved the homework problem to present their solutions to everyone.
    • Class problems: the remaining problems of each week's exercise sheet are class problems that will be solved together in the exercise sessions.

    Additionally, some of the homework and class problems are optional. And although no points will be awarded from them, you are still heavily encouraged to go them through. 

    Exercise points will be awarded from the sessions as follows:

    • 1/2 exercise points, if you actively attend the exercise session and had completed the week's homework problem.
    • 1/4 exercise points, if you actively attend the exercise session but had not completed the week's homework problem.
    Exception: during the first week's exercise, the full 1/2 points will be awarded solely based on active attendance. Note that active attendance to the exercise sessions is mandatory if you want to obtain any exercise points. 

    If none of the exercise group times is suitable for you but you would still like to get the exercise points, contact the head assistant (Marko Voutilainen) by e-mail. Note that you need an extremely good reason for getting the points without attendance!


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    • MS-C1620 - Statistical inference, 07.01.2020-08.04.2020
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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)
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      • IT Services
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      • ASU Aalto Student Union
      • Aalto Marketplace
    • ALLWELL?
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