[System] You extract structured syllabus data from university course documents. Return valid JSON only, matching the requested schema exactly.

[User]
Extract structured syllabus information from the following document.
Return JSON with keys: document_id, source_url, course_codes, instructors, emails, section_names, assignments, readings, grading_weights, due_dates, course_dates, concepts, study_plan, text_field, entities.
The study_plan value must be a JSON array of objects, one per syllabus section region, each with section_heading (string) and the same list-of-strings fields as the top level (course_codes, readings, assignments, due_dates, course_dates, concepts, grading_weights, instructors, emails), grouping items that fall under that section.

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[System] You extract structured syllabus data from university course documents. Return valid JSON only, matching the requested schema exactly.

[User]
Extract structured syllabus information from the following document.
Return JSON with keys: document_id, source_url, course_codes, instructors, emails, section_names, assignments, readings, grading_weights, due_dates, course_dates, concepts, study_plan, text_field, entities.
The study_plan value must be a JSON array of objects, one per syllabus section region, each with section_heading (string) and the same list-of-strings fields as the top level (course_codes, readings, assignments, due_dates, course_dates, concepts, grading_weights, instructors, emails), grouping items that fall under that section.

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[System] You extract structured syllabus data from university course documents. Return valid JSON only, matching the requested schema exactly.

[User]
Extract structured syllabus information from the following document.
Return JSON with keys: document_id, source_url, course_codes, instructors, emails, section_names, assignments, readings, grading_weights, due_dates, course_dates, concepts, study_plan, text_field, entities.
The study_plan value must be a JSON array of objects, one per syllabus section region, each with section_heading (string) and the same list-of-strings fields as the top level (course_codes, readings, assignments, due_dates, course_dates, concepts, grading_weights, instructors, emails), grouping items that fall under that section.

Document text:
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<title>World History of Science - Course Syllabus</title>
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Syllabus

            Schedule

World History of Science:

          From Prehistory through the Present

          IHUM 6a Winter 2008

Prof. Robert N. Proctor (rproctor@stanford.edu)

          Tues-Thurs 1:15-2:05 Annenberg Auditorium

What are the oldest scientific discoveries of humans?  Knowledge of the stars? Medicinal plants? Our own mortality? How have people in different parts of the world come to know the natural world, and what does this tell us about the history of science more generally?

  The purpose of this course is to trace the broad sweep of global science, from the prehistoric roots of the oldest known technologies through the mega-events of the Scientific Revolution, global voyaging, and recent triumphs in the physical and life sciences. We begin with theories of human origins and the oldest known tools and symbols, especially those found in Africa, following which we turn to achievements of the Maya, Aztecs, and native North Americans (calendrical astronomy, paleobotany, metallurgy, mathematical nomenclature, etc.).  Science and medicine in the ancient worlds of the Mediterranean will be the focus of several lectures, following which we’ll look at the sciences of early China, Africa, medieval Europe, and the Islamic world, along with challenges to traditional cosmologies in Copernicus, Galileo, and Newton.

  Whereas the first quarter concentrates more on prehistory and cosmology, the second focuses more on the life sciences since the Scientific Revolution.  We begin with an exploration of how 16th-18th century voyages of discovery transformed (especially European) knowledge, as people tried to understand and exploit new kinds of animals, plants, and minerals in the New World, Africa, and Asia.  Some attention is given to Enlightenment philosophies of the eighteenth century and the chemical revolution, following which we turn to early theories of fossils, the nineteenth century discovery of “deep time,” debates over extinction vs. evolution (Cuvier vs. Lamarck), and the uniformitarianism triumphant in Lyell’s geology and Darwin’s theory of evolution.  A final section looks at the twentieth century’s revolutionary understandings of matter, life and the cosmos, with particular attention to the impact of the First and Second World Wars, computerization, the molecular understanding of life, and ethical challenges raised by the abuses of Nazi racial science, the Scopes Trial and creationism, tobacco industry agnotology, global climate change and threats to biodiversity.

  Our focus throughout will be global, recognizing that history is always profoundly and unavoidably selective. The overarching theme will be to explore how science transforms—and is transformed by—human engagements with technology, religion, art, politics, and moral values.

Teaching Fellows                                                Section #            Time

Joann Kleinneiur                                                14                        WF            11:00-11:50a

          (joannk@stanford.edu)                                    15                        WF            2:15-3:05p

          16                        WF            3:15-4:05p

Molly McCarthy                                                  2                        TTh            3:15-4:05p

          (mollym1@stanford.edu)                                      3                        TTh            4:15-5:05p

    4                        TTh            5:15-6:05p

Mark Sander                                                            11                        TTh            3:15-4:05p

          (sanderm@stanford)                                                12                        WF            10:00-10:50a

          13                        WF            1:15-2:05p

Melissa Stevenson                                                  5                        WF            9-9:50a

          (melissas@leland.stanford.edu)                          6                        WF            10-10:50a

    7                        WF            11-11:50a

Gabriel K. Wolfenstein                                      8                        TTh            3:15-4:05p

          (gkw@stanford.edu)                                                  9                        TTh            4:15-5:05p

          Course Coordinator, Winter & Spring             10                        TTh            6:00-6:50p

Course Goals:

          The goals of winter/spring IHUM courses are the following: to introduce students in a sustained way to a body of material in a specific discipline; to hone the reading, analytical, and critical thinking skills begun in fall quarter; and to continue to develop college-level argumentation skills, both oral and written.

  Course Wiki: http://worldhistoryofscience2008.pbwiki.com (password ihum6ab)

  Required Texts:

          Course reader. Available through Field Copy’s (for sale after class during the first week and in

          the basement of

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[System] You extract structured syllabus data from university course documents. Return valid JSON only, matching the requested schema exactly.

[User]
Extract structured syllabus information from the following document.
Return JSON with keys: document_id, source_url, course_codes, instructors, emails, section_names, assignments, readings, grading_weights, due_dates, course_dates, concepts, study_plan, text_field, entities.
The study_plan value must be a JSON array of objects, one per syllabus section region, each with section_heading (string) and the same list-of-strings fields as the top level (course_codes, readings, assignments, due_dates, course_dates, concepts, grading_weights, instructors, emails), grouping items that fall under that section.

Document text:
1

ECONOMICS 101
INTRODUCTORY MICROECONOMICS
FALL 2017

Instructor: Elizabeth Sawyer Kelly
Office: 7416 Social Science
Office Phone: 608-262-8829
Office Hours: Tuesdays and Thursdays 11a.m. to 12 p.m., and by appointment; more office hours
to be announced in class
E-mail: eskelly@wisc.edu
Webpage: www.ssc.wisc.edu/~ekelly/econ101

Note: it is your responsibility to read and fully understand everything in this document.

TEXT:

Microeconomics by Paul Krugman and Robin Wells, fourth edition, Worth Publishers, 2012. Note:
if you choose to use the earlier editions of the text you will need to spend time reconfiguring
the reading list to fit that text.

It is also highly recommended that you read current event publications which cover economic
events: among these recommended publications are The New York Times, The Wall Street
Journal, Business Week, The Financial Times, Barron’s, and The Economist.

OVERVIEW:

Economics is the study of the production, allocation and distribution of goods and services in a
world where resources are scarce. In this course we will explore some basic concepts: the notion of
scarcity and how it relates to opportunity cost; supply and demand; taxation and other government
programs; externalities and public goods; production and cost theory; perfect competition,
monopoly and other types of market structures; factor markets; and consumer theory. We may
consider other topics as time allows.

COURSE WEBSITE: www.ssc.wisc.edu/~ekelly/econ101

Practice questions and problems are available on the course website.  In addition, important
information with regard to exams, TA contact information, and announcements will be posted on
this website.  It is your responsibility to check the website for announcements, assignments, and
any possible changes related to the course plan.

2

COURSE STRUCTURE AND GRADING POLICY:

    1. LECTURES:

There will be two lectures and a discussion section each week. Students are expected to
have completed the reading prior to lecture. Attendance is not mandatory at the lectures, but
exams will focus primarily on material presented in lecture. A second reading of the
textbook after the lecture will greatly enhance your understanding of the ideas being
presented. After the first two weeks of class the pace of the class and the difficulty of the
material presented increases: students should make every effort NOT to miss class since the
pace of the class is fast. Students who miss class will need to take personal responsibility to
get the missed notes: notes will not be posted to the class website nor will the instructor
provide notes to students who miss class.

To do well in the class it is important that you work many practice problems and that
you do the background reading in the text. Many students will benefit from putting in
substantial out of classroom time for the class: I would recommend a minimum of
eight hours of outside of class study time per week!

    2. DISCUSSION SECTIONS:

Attendance at discussion sections is highly recommended. Your Teaching Assistant will
take attendance at every meeting. Discussion sections provide an opportunity to ask
questions, go over problems from the large lecture or from the webpage, and generally
reinforce material that has been presented in lecture. The discussion section is also the
place where more complicated and challenging problems will be explored: these
problems will build off the material presented in the large lecture. Your T.A. will be
available during the discussion section and during office hours to answer your questions. In
addition to attending the discussion section that you are enrolled in, you are also welcome to
attend other discussion sections.

   3. GRADES

There will be two midterms and a final exam as well as five homework assignments. The
weights for the midterms, final, and homework are as follows:

MIDTERM I:

25% of grade
MIDTERM II:

25% of grade
FINAL:

40% of grade
5 Homework Assignments:
10% of grade

Although attendance is not required at class you are responsible for any material, written
assignments, reading material, etc. covered or assigned in class.

The format of the midterm exams and the final will be announced in class prior to the date
of the exams.

3

Midterm exams will be held during the regular class time:  students should plan to arrive
at their assigned classroom fifteen minutes early on these dates in order that the exam can
start on time.  Students arriving late will not receive compensating time:  all exams must be
turned in to the proctor at the end of the allotted exam time.  THERE ARE NO MAKEUP
MIDTERM EXAMS.  If you miss an exam and have a valid excuse, your final exam
grade’s weight will be increased to make up for the missing midterm. If you do not have a
valid excuse, you will receive a zero for that exam.  Job interviews and travel plans (except
as required by university-sponsored activities) do not constitute valid excuses for missing an
exam.  Students should plan to be in Madison, Wisconsin until they take the final exam.  If
you are unable to take an exam because of a valid excuse, please contact me in advance, if
possible.

The final will be comprehensive and cumulative.

Homework assignments will be posted on the web and will be due on their assigned dates at
the BEGINNING of class lecture.  NO LATE HOMEWORK ASSIGNMENTS WILL
BE ACCEPTED.  THERE WILL BE NO MAKEUP HOMEWORK.  If you fail to turn
in homework you will receive a zero for that homework.  All homework must be turned in
at the beginning of class lecture (NO EXCEPTIONS TO THIS!)  Students may work
together on homework assignments, but must submit their own answers independently.
Sharing knowledge does not mean sharing homework.  Answers that are copies on one
another will be treated as violations of academic integrity and will be punished
accordingly.

Exam Dates:

Midterm I: Thursday, October 12, 2017

Midterm II:  Thursday, November 16, 2017

Final Exam:  Tuesday, December 19 from 12:25 p.m. to 2:25 p.m.

Homework Due Dates:

Homework #1: Tuesday, September 26, 2017

Homework #2: Tuesday, October 10, 2017

Homework #3: Tuesday, October 31, 2017

Homework #4: Tuesday, November 14, 2017

Homework #5: Tuesday, December 12, 2017

NOTE:  Failure to do the homeworks competently, thoroughly and consistently
really hurts your grade:  students who choose not to do the homeworks will find

4

that their final computed weighted average grade is significantly impacted by
this decision.

NOTE: Please make a copy of your homework before submitting it so that you
can compare your answers to the web-posted answers. Answers will be posted
the day the homework is due and you will want to be able to verify that your
work was accurate prior to the midterms and final.

NO EXAM GRADES WILL BE DROPPED.  LOW GRADES WILL NOT BE
DROPPED.

THERE WILL BE NO MAKEUP EXAMS TO REPLACE MIDTERMS THAT
HAVE BEEN MISSED.

Grading:  Your grade will be based on your overall performance.  The final grade distribution will
fall roughly along the following guidelines:

Top 20%:  A
Next 20%:  AB
Next 20%:  B
Next 20%:  BC
Bottom 20%:  C, D and F

CLASS RULES AND EXAM RULES:
1) During lecture students should limit all conversations with one another: these conversations
make it difficult for others to hear the lecturer.
2) During lecture students should turn cell phones off; there should be no texting during
lecture. Your texting is distracting to others in the class.
3) During lecture students should take notes: this implies that they should not be “surfing” the
internet. Your activity online is distracting to other students.
4) Students with questions should raise their hands so that the professor can recognize the
student, receive the question, and answer the question.
5) When the professor asks the class a question, students wanting to provide answers should
signify their willingness by raising their hands.
6) Students should put away all “earbuds” prior to the start of lecture.
7) During exams there is absolutely no talking allowed between students: students caught
talking with one another will receive a zero on the exam.
8) During exams all cell phones should be turned off and stowed in backpacks: students caught
with cell phones in their possession during the exam will receive a zero on the exam. If you
see a student using a cellphone during the exam please immediately notify the proctor!
9) During exams there are NO CALCULATORS ALLOWED: students caught with
calculators will receive a zero on the exam. If you see a student using a calculator during the
exam please immediately notify the proctor!
10) Students are responsible for covering their answers during exams: it is considered academic
misconduct to allow others to freely see your answers.

5

11) If students elect to record their answers on their exam booklet prior to filling out their
scantrons, this recording should be small and not easy to be seen from twenty inches away.
Answers recorded in large script on the exam booklet will be considered a sign of academic
cooperation with other students on the exam and will result in the student recording these
symbols on their exam receiving a zero on the exam.

PROFESSOR KELLY'S EXPECTATIONS FOR HER STUDENTS:

• Students will find their understanding of the material will be enhanced if they
o Attend all lectures
o Take notes during the lectures
o Are awake and alert during each lecture
o Review and rewrite their lecture notes after the lecture
• Students will understand the material better if they
o Attend discussion section each week
o Identify any questions or problems they have with the material before going to
discussion section
o Ask questions and participate every week in discussion section
o Go to T.A. office hours with any additional questions
o Go to the website and work practice problems and old exams
• Students often find study groups to be a helpful study aid
o Make a point of meeting at least four other students in the class so that if you
miss a class you can get the notes
o Meet with this group on a regular basis and discuss the material and practice
questions that are on the web with this group
• Students will understand the lecture more if they read the text prior to the lecture
o Take reading notes and do not highlight when you read
o Students should do the assigned reading again after the lecture and take a second set
of reading notes
o Writing reading notes will help you learn to summarize the material in your own
words and the action of taking reading notes will help you retain the material
• Students failing to achieve an average of 50% for all graded material should not expect to
pass this class
• If you are a senior please remember that you are not a graduating senior until you have
successfully completed all the required coursework for graduation at the university.
• Students should keep a datebook and have all test dates and review sessions recorded in this
notebook.
• Students struggling with material should see their T.A.s during the T.A.'s office hours.
• Students with questions about their grades should see Professor Kelly. No student should
expect special consideration beyond that offered due to a student's status as a
McBurney student.

Students who come to see me with concerns about the course will be asked about each of these
expectations in turn. My belief is that for most students to succeed in this course they must follow
the above guidelines.

6

Information about the Department of Economics Career Coordinator:

If you would like to learn more about career and internship opportunities for economics students or
discuss the

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[System] You extract structured syllabus data from university course documents. Return valid JSON only, matching the requested schema exactly.

[User]
Extract structured syllabus information from the following document.
Return JSON with keys: document_id, source_url, course_codes, instructors, emails, section_names, assignments, readings, grading_weights, due_dates, course_dates, concepts, study_plan, text_field, entities.
The study_plan value must be a JSON array of objects, one per syllabus section region, each with section_heading (string) and the same list-of-strings fields as the top level (course_codes, readings, assignments, due_dates, course_dates, concepts, grading_weights, instructors, emails), grouping items that fall under that section.

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[System] You extract structured syllabus data from university course documents. Return valid JSON only, matching the requested schema exactly.

[User]
Extract structured syllabus information from the following document.
Return JSON with keys: document_id, source_url, course_codes, instructors, emails, section_names, assignments, readings, grading_weights, due_dates, course_dates, concepts, study_plan, text_field, entities.
The study_plan value must be a JSON array of objects, one per syllabus section region, each with section_heading (string) and the same list-of-strings fields as the top level (course_codes, readings, assignments, due_dates, course_dates, concepts, grading_weights, instructors, emails), grouping items that fall under that section.

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syllabus

STAT 100 Syllabus Spring 2021 (View PDF)

Instructor Contact Information

       ONL (Online)
      Instructor: Karle Flanagan

     Email: stat100@illinois.edu

Course Webpage

https://karleflanagan.github.io/stat100S21/

Course Materials

Required Workbook: Stat 100 Incomplete Lecture Notes Workbook. Either the Fall 2020 or Spring 2021 editions (They are both green) by Ellen Fireman, Karle Flanagan, and John Marden.

Available at the Illini Union Bookstore for $35.

This notebook is the only thing that’s required to purchase for Stat 100!

You will use this notebook each week when you watch the videos!

Required Calculator: Any calculator is accepted. I recommend this one!

Class Times

    Online Section ONL: No assigned meeting times. Watch lecture videos on Compass. No in-person locations.

Office Hours

STAT 100 Office Hours will be offered each week Monday-Friday from 2pm-5pm via Zoom.

Feel free to stop by anytime for help. If you are unavailable during these times and want to meet, send us an email at stat100@illinois.edu and we will set up a time!

Technical Issues

If you experience a glitch in Lon Capa/Compass, first, try logging out and logging back in. If this doesn’t work, send an email to our tech doc, Dr. Yuk Tung Liu ytliu@illinois.edu describing the problem. Please make sure to include a screenshot of the error in your e-mail. You can also stop by office hours and get help in person!

Homework Schedule

Homework is due every Tuesday and Thursday at 11:59pm (see calendar) on Lon-Capa. You can ask questions on the Lon Capa discussion boards and stop by office hours any time to get homework help!

We do NOT accept late hw, but we do drop your 4 lowest HW scores. This means you can miss 4 HW assignments without any penalty!

Exam Schedule

There will be 3 evening exams and a cumulative final. See the Exam Schedule for dates, times, and locations.

Grade for Required Work

Grade for required work

3 Exams: 60% (each worth 20%)

Homework: 15%

Final Exam: 25%

Overall Grade is Translated into a Letter Grade as follows:

    Grade
    Percentage
    Grade
    Percentage
    Grade
    Percentage

    A+
    97-100
    A
    93-96.99
    A-
    90-92.99

    B+
    87-89.99
    B
    83-86.99
    B-
    80-82.99

    C+
    77-79.99
    C
    73-76.99
    C-
    70-72.99

    D+
    67-69.99
    D
    63-66.99
    D-
    60-62.99

    F
    < 60

Bonus Work

Bonus Points — You may earn between 0 and 100 Bonus Points.

Everyone may earn between 0 and 100 Bonus Points. Every bonus point earned helps your overall grade, but even if you do no bonus work, you can still get 100% for the course. In other words, bonus points can only help you. Bonus points are extra credit. Here’s how you can get them:

Pre-Lecture bonus points (46 bonus points)

Each class there will be a short pre-lecture video posted on Lon Capa followed by a few questions. The pre-lectures are designed to give you a preview of the basic concepts you’ll see in the actual lectures.  There are 23 prelectures and each is worth 2 bonus points.

Lon Capa Surveys (25 bonus points)

There will be 5 surveys due on the first Friday of each month (see the course calendar). Each survey is worth 5 bonus points. The surveys are all anonymous. Lon Capa just records whether or not you submitted a survey, not who submitted which answer. You must answer every question on the survey to get the 5 points.

Research Opportunities (28 bonus points)

There will be a few research opportunities to participate in throughout the semester.  The details will be posted on our course Compass page!  These opportunities are completely optional, but give those who want to a chance to participate in a real study.

The bonus points add to 99!  Everyone will get 1 bonus point automatically for free. 😉

How do these bonus points get calculated into your grade?  At the end of the semester, take your total bonus points and divide them by 20.  This will be how many percentage points get added to your grade!  For example, if you have all 100 bonus points, you’d take 100 and divide it by 20 to get 5.  So if you have an 80% (B-) in the class, the bonus would bring you up to an 85% (B).

Course Outline

Study Design: observational studies vs. randomized experiments, why randomized controls are key, confounders in observational studies, Simpson’s paradox, intent to treat analysis, etc.

Descriptive Statistics: mean, median, SD, histograms, box plots, normal curve, etc.

Linear Regression: correlation coefficient, simple linear regression, the RMSE, etc.

Probability: chance, multiplication rule, addition rule, conditional probability, Bayes rule, etc.

Statistics for Random Variables: expected value and standard error of chance processes, probability histograms and the Central Limit Theorem, developing simple chance models box models that more complicated sampling processes can be translated into, the Law of Averages, etc.

Sampling and Statistical Inference: using sample means and percents to estimate population means and proportions, attaching margins of errors to our estimates by computing confidence intervals, why randomized sampling is key, etc.

Significance Tests: one sample and two sample z-tests, t-tests, and chi-square tests for goodness of fit and independence, the focus is on understanding how these tests depend on chance models.

Limits of Significance Tests: understanding what the p-value means and under what circum

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