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More advanced aspects of (generalized) linear modeling (planned contrasts, polynomials), robust statistics, mixed- effects/multilevel modeling; conditional inference trees; more advanced cluster-analytic methods; bootstrapping.

No Prerequisites

4

Units

Optional

Grading

1, 2, 3

Passtime

Graduate students only

Level Limit

Letters and science

College
GRIES S T
Stefan Gries
2.9
17 reviews
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LING 204 Gries S T Fall 2023 Total: 7
LING 204 Gries S T Winter 2020 Total: 15
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18
2.9
LING147 . Gries S T 1 Year, 3 Months Ago

This dude is so ugly it makes the class unbearable. Furthermore, this accent is awful! How can you teach linguistics and speak like that? My theory is he had several concussions years ago but the university is scared to fire him

0 helpful 0 unhelpful
LING104 . Gries S T 3 Years Ago

Boring lectures. Too wordy.

0 helpful 0 unhelpful
LING104 . Gries S T 3 Years Ago

This class depends heavily on self-learning, but the professor and TA are very helpful

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LING120 . Gries S T 7 Years Ago

Although it's suppose to be an intro course to coding using Rstudio, it definitely didn't feel like it. If you have no background in coding, it will be very time consuming to understand. Make sure not to miss class because he goes over a lot of information during lecture.

0 helpful 0 unhelpful
LING104 . Gries S T 8 Years Ago

If you are serious about learning how to properly analyze (linguistic) data, there is no one who will teach you as accessibly and efficiently as Prof. Gries. The class requires some stamina, but if you are willing invest some time, it is an outstanding learning opportunity.

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LING104 . Gries S T 9 Years Ago

I would recommend this class only to ling students who have a strong background in computer programming. You're expected to know essential terms and concepts specific to statistics despite there being no prereq's/advisory for this class other than Intro Ling. Also very negative opinions on the course textbook (conveniently written by the professor)

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