Syllabus: Stat 370 Spring 2017 - Revision history

Carver at 01:47, 17 January 2017

2017-01-17T01:47:12Z

Carver at 21:00, 16 January 2017

2017-01-16T21:00:26Z

Carver at 03:08, 16 January 2017

2017-01-16T03:08:03Z

Carver at 02:30, 16 January 2017

2017-01-16T02:30:12Z

Carver at 02:26, 16 January 2017

2017-01-16T02:26:33Z

Carver at 02:24, 16 January 2017

2017-01-16T02:24:10Z

Carver at 09:25, 15 January 2017

2017-01-15T09:25:03Z

Carver at 09:23, 15 January 2017

2017-01-15T09:23:23Z

Carver at 09:20, 15 January 2017

2017-01-15T09:20:35Z

Carver at 09:17, 15 January 2017

2017-01-15T09:17:26Z

← Older revision		Revision as of 01:47, 17 January 2017
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−	<big> '''Introduction to Statistical Computing and Modeling (STAT 370) Spring 2017 Section 001 ~~[UNDER CONSTRUCTION]~~''' </big>	+	<big> '''Introduction to Statistical Computing and Modeling (STAT 370) Spring 2017 Section 001''' </big>

	[[Course_Materials_Stat_370_Spring_2017\|Course Materials (click here)]]		[[Course_Materials_Stat_370_Spring_2017\|Course Materials (click here)]]

← Older revision		Revision as of 21:00, 16 January 2017
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	'''Homework:''' For homework we will use private repositories on GitLab, except for the children's story assignment. For the children's story, each student will start their own GitHub repository for their own story, and invite others to collaborate. There will be work to do most classes. You will commit this work to the cloud whenever you want. You can update the work as you progress. At specified times and dates, I will pull your work from the cloud onto my computer to grade it. The specified time for the pull will be when it is due. I won't see any changes you commit after the pull time. I expect most homework sets will come from the required text book, although there is some flexibility, based on class interest, especially vis-a-vis the projects students are engaged in.		'''Homework:''' For homework we will use private repositories on GitLab, except for the children's story assignment. For the children's story, each student will start their own GitHub repository for their own story, and invite others to collaborate. There will be work to do most classes. You will commit this work to the cloud whenever you want. You can update the work as you progress. At specified times and dates, I will pull your work from the cloud onto my computer to grade it. The specified time for the pull will be when it is due. I won't see any changes you commit after the pull time. I expect most homework sets will come from the required text book, although there is some flexibility, based on class interest, especially vis-a-vis the projects students are engaged in.
		+
		+	'''Attendance:''' You are expected to attend class unless there is a compelling reason why you cannot make it. Attendance and participation is worth 10% of your grade. Beyond the 10%, I believe that excellent attendance will be necessary to meet the objectives of this class. However, I understand that there are times when you cannot make it to class for compelling reasons. To accommodate the unavoidable, I will forgive occasional absences for everyone when I compute the final grades. If you need to miss more than a few classes, please see the Dean of Students. Exam day absences must be excused through the Dean of Students. On other days please send an email to me when you can't make it to class, explaining why. If your attendance and/or participation is not acceptable, you will receive an early warning from me through the registrar. This is how you will know you are in danger of losing the credit in this category If your attendance and/or participation continues to be poor, you might miss all 10% (i.e. get a zero in this category).

	'''Midterm:''' The midterm project will be a coding exercise, completed in class on March 31. You will have access to your books, notes, and Google, but you will not be able to interact with another live person. Pull time will be the end of class on that day. Midterm examinations will be pulled from the private homework repository.		'''Midterm:''' The midterm project will be a coding exercise, completed in class on March 31. You will have access to your books, notes, and Google, but you will not be able to interact with another live person. Pull time will be the end of class on that day. Midterm examinations will be pulled from the private homework repository.

← Older revision		Revision as of 03:08, 16 January 2017
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	<big> '''Introduction to Statistical Computing and Modeling (STAT 370) Spring 2017 Section 001 [UNDER CONSTRUCTION]''' </big>		<big> '''Introduction to Statistical Computing and Modeling (STAT 370) Spring 2017 Section 001 [UNDER CONSTRUCTION]''' </big>
		+
		+	[[Course_Materials_Stat_370_Spring_2017\|Course Materials (click here)]]

	'''Instructor:''' <big> Sean Carver, Ph.D., </big> Professorial Lecturer, American University.		'''Instructor:''' <big> Sean Carver, Ph.D., </big> Professorial Lecturer, American University.

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 '''Reading Material:''' Class time will be used most effectively if you have read the relevant section of the book ahead of time.  Please be conscientious about the reading.  Usually it will only be one chapter, however for the second class (January 24), please read both chapters 1 and 2.  Reading assignments will be announced during the previous class.
-'''Homework:''' For homework we will use private repositories on GitLab, except for the children's story assignment.  For the children's story, each student will start their own GitHub repository for their own story, and invite others to collaborate.  There will be work to do most classes.  You will commit this work to the cloud whenever you want.  You can update the work as you progress.  At specified times and dates, I will pull your work from the cloud onto my computer to grade it.  The specified time for the pull will be when it is due.  I won't see any changes you commit after the pull time.  I expect most homework sets will come from the required text book, although there is some flexibility, based on class interest, especially vis-a-vis the projects.
+'''Homework:''' For homework we will use private repositories on GitLab, except for the children's story assignment.  For the children's story, each student will start their own GitHub repository for their own story, and invite others to collaborate.  There will be work to do most classes.  You will commit this work to the cloud whenever you want.  You can update the work as you progress.  At specified times and dates, I will pull your work from the cloud onto my computer to grade it.  The specified time for the pull will be when it is due.  I won't see any changes you commit after the pull time.  I expect most homework sets will come from the required text book, although there is some flexibility, based on class interest, especially vis-a-vis the projects students are engaged in.
 '''Midterm:''' The midterm project will be a coding exercise, completed in class on March 31.  You will have access to your books, notes, and Google, but you will not be able to interact with another live person.  Pull time will be the end of class on that day.  Midterm examinations will be pulled from the private homework repository.

@@ Line 21: / Line 21: @@
 '''Learning Outcomes:'''  Students will be able to
-* Submit work as a dynamic document via GitHub
+* Submit work as a dynamic document via GitHub, and learn some of its tools for collaboration.
 * Use R as a powerful calculator.
 * Write basic programs using control and data structures.

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 '''Text:''' ''The Book of R'', by Tilman M. Davies, No Starch Press, 2016.
-'''Optional Text:''' ''Analyzing Baseball Data with R'', by Max Marchi and Jim Albert, CRC Press, 2013.  This is a great book, if you like Baseball, data science, or especially both.  We are going to use it to learn how to simulate a baseball game with a Markov Chain.  I may be able to legally provide the relevant chapter of the book, if you want to save money.  Don't like baseball, or don't know the rules?  Don't worry, neither do I, but this example is fantastic from a pedagogical perspective, and I think you will agree, regardless of your interest and knowledge in the sport.
+'''Optional Text:''' ''Analyzing Baseball Data with R'', by Max Marchi and Jim Albert, CRC Press, 2013.  This is a great book, if you like baseball, data science, or especially both.  We are going to use it to learn how to simulate a baseball game with a Markov Chain.  I may be able to legally provide the relevant chapter of the book, if you want to save money.  Don't like baseball, or don't know the rules?  Don't worry, neither do I, but this example is fantastic from a pedagogical perspective, and I think you will agree, regardless of your interest and knowledge in the sport.
 '''Software:''' Please install the following software on the machines you intend to use for this class: R, RStudio, Git, XQuartz (Mac), GitBash (Windows).  You are welcome to use a lab computer or your laptop during class.

@@ Line 77: / Line 77: @@
 |}
-'''Class Etiquette:''' Please give the class your full attention and refrain from talking, texting, surfing the web, and similar distractions.  If it is clear to other students that you are not paying attention, it will be harder for them to pay attention to me.  This statement is true in general, but it is especially true if you are talking. Also, it can also be harder for me to give good lectures, when it is clear that not everyone is paying attention.  Like you, your classmates are paying a lot of money to be here.  Have some respect for your fellow students!  Otherwise you are negatively impacting their educational experience which isn't fair to them.  If you need to attend to something urgently, it is OK to excuse yourself from the classroom.  Please be warned that if people are not following this request, I may reread this statement to the class.
+'''Class Etiquette:''' Please give the class your full attention and refrain from talking, texting, surfing the web, and similar distractions.  If it is clear to other students that you are not paying attention, it will be harder for them to pay attention to me.  This statement is true in general, but it is especially true if you are talking. Also, it can also be harder for me to give good lectures, when it is clear that not everyone is paying attention.  Like you, your classmates are paying a lot of money to be here.  Have some respect for your fellow students!  Otherwise you are negatively impacting their educational experience, which isn't fair to them.  If you need to attend to something urgently, it is OK to excuse yourself from the classroom.  Please be warned that if people are not following this request, I may reread this statement to the class.
 Please participate in class by asking questions when you do not understand something.  Invariably other students benefit from these questions.  Please engage in discussions, and please engage with the class, generally.  I find it easier to give good lectures when students are asking questions, and engaging with the material.