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| - | == '''Welcome to the | + | == '''Welcome to the 2018 Edition of 6.034'''== |
| + | ===New subject fall 2018 for 6.034 vetarans=== | ||
| - | + | 6.S081, Human Computational Intelligence, Professor Robert C. Berwick. | |
| - | + | Birds do it, bees do it, even educated fleas do it: animals can be intelligent. But how do they do it? This new course looks into this question from a computational point of view. Can chimpanzees learn language? Can border collies learn the names for objects? Do songbirds have language? Do the same methods that make modern computers intelligent also make animals intelligent? Does “big data” help or hurt animal learning? What about deep learning? How can we combine classical symbolic computation with modern statistical methods? Come find out. The course will be run in the style of Winston’s 6.803, emphasizing weekly critical readings and short communication-oriented written assignments. Enrollment limited to 40 students. See: | |
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| - | + | http://www.eecs.mit.edu/academics-admissions/academic-information/subject-updates-fall-2018/6s081 | |
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| - | + | MW 1-2:30, 56-154, | |
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===Logistical stuff:=== | ===Logistical stuff:=== | ||
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* [[Recitations | Recitations]] | * [[Recitations | Recitations]] | ||
* [[Office Hours | Office Hours]] | * [[Office Hours | Office Hours]] | ||
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* [[6.S077_with_Professor_Berwick | 6.S077 with Bob Berwick]] | * [[6.S077_with_Professor_Berwick | 6.S077 with Bob Berwick]] | ||
* [[6.S966:_A_Graduate_Section_for_6.034 | 6.S966 with Gerald Sussman]] | * [[6.S966:_A_Graduate_Section_for_6.034 | 6.S966 with Gerald Sussman]] | ||
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* [[Reference material and playlist | What material will be on the quiz?]] | * [[Reference material and playlist | What material will be on the quiz?]] | ||
Revision as of 14:13, 15 August 2018
Somewhere, something went wrong.
Contents |
Welcome to the 2018 Edition of 6.034
New subject fall 2018 for 6.034 vetarans
6.S081, Human Computational Intelligence, Professor Robert C. Berwick.
Birds do it, bees do it, even educated fleas do it: animals can be intelligent. But how do they do it? This new course looks into this question from a computational point of view. Can chimpanzees learn language? Can border collies learn the names for objects? Do songbirds have language? Do the same methods that make modern computers intelligent also make animals intelligent? Does “big data” help or hurt animal learning? What about deep learning? How can we combine classical symbolic computation with modern statistical methods? Come find out. The course will be run in the style of Winston’s 6.803, emphasizing weekly critical readings and short communication-oriented written assignments. Enrollment limited to 40 students. See:
http://www.eecs.mit.edu/academics-admissions/academic-information/subject-updates-fall-2018/6s081
MW 1-2:30, 56-154,
Logistical stuff:
- Frequently asked questions
- Grading and collaboration policy
- Staff names and email addresses
- Recitations
- Office Hours
Reference stuff:
- Calendar
- Reference material and playlist
- Labs (also known as "problem sets")
- Piazza
- Demonstrations
- Dylan's AI Demonstrations
- Quiz archive
Note that the current staff mailing list is 6.034-2018-staff@.
News
Summer 2017
Special 2017 opportunity for extra units
The 2017 edition of 6.034 will offer an optional 3-unit add-on set of lectures given by Professor Robert C. Berwick. This addition will supplement the main lectures and recitations because it will focus on the science side of 6.034, addressing long-standing scientific questions and biological intelligence, rather than existing tools for building applications. Evolution and human language will be emphasized.
To avoid conflicts with other classes, Professor Berwick will offer the once-a-week extra session twice:
3-4 on Wednesdays 36-153
2-3 on Fridays. 36-155
You can attend either of the two sessions.
If you are interested, sign up for 6.S077 in addition to 6.034.
Special 2017 opportunity for graduate credit
The 2017 edition of 6.034 will offer an optional, experimental, graduate-credit version, for graduate students only, by Professor Gerald J. Sussman. Students involved will do all 6.034 classes, homework, and quizzes plus an extra class with Professor Sussman and extra work. You can read the prospectus here.
The class, 6.S966, will meet on Fridays, 11am-12noon, in 34-303.
If you are interested, register for 6.S966. When registering, you must explicitly register for 12 units; the registration software will try to default to 1 unit.
6.034 Lab 0 Released
Many students interested in taking 6.034 for credit wonder if their Python skills are adequate for the 6.034 laboratory assignments, especially those who have not taken 6.0001 or equivalent. The answer is to be found in Lab 0, which in past years we have released at the beginning of the semester.
You can look over Lab 0 now, before the semester begins, so that you can determine if you should review Python for a day or two before the semester begins. You can find Lab 0 here.
If you have any questions, email the 6.034 staff at 6.034-2017-staff@.
About 6.034, Fall 2017 Edition
In the fall semester of 2017, 6.034 will meet Monday, Wednesday, and Friday from 10 to 11 in 10-250. Most, but not all of Professor Winston's lectures will be on Monday and Wednesday. On many, but not all Fridays, you will learn about what is happening in the field right now from someone who is doing work right now in an area related to the Monday and Wednesday lectures.
Examinations will cover material from the traditional lectures as well as the right-now lectures. It will be extremely difficult to field questions on the right-now material if you do not attend the right-now lectures because the material is not yet in textbooks or, in many cases, published papers.
Recitations (previously known as "tutorials") will meet weekly on Monday and Tuesday. On the first day of class, you will fill out a form that will enable us to assign you to a recitation.
6.034 is no longer offered in the spring term.
More details will emerge during the first lecture.
We are pleased to note that Bloomberg has listed 6.034 as among "Five of the Best Computer Science Classes in the U.S." What they meant to say is that 6.034 has had outstanding TAs.
