[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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                                                              Integrated General Biology Specialization

                                                              <a href="/students/requirements/life-science-education" ti

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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:

<TITLE>CS 180 -- Course Syllabus</TITLE>
<META HTTP-EQUIV="Expires" CONTENT="0">
<META HTTP-EQUIV="Pragma" CONTENT="no-cache">

CS 180 -- Course Syllabus

(This page last modified Thursday, November 29, 2011.)

<MENU>
January 9-13 (Week 1)

Introduction to Computers and Object-Oriented Programming
PDF

 Reading:

Topic: Introduction to computers and programming languages, OOP

 Online book: Sections 1.1, 1.2, 1.4

 Suggested Text: Sections 1.1, 1.2, 1.4, 2.1, 2.2

January 16-20 (Week 2)

No classes on Monday (Martin Luther King Day)

Getting Started With Java
PDF

 Reading:

 Topic: First Java progam, Simple Input/Output, Strings

 Online book: Sections 1.3, 1.5, Chapter 2

 Suggested Text: Sections 2.3, 3.1

 Sample Code

 Assignment

January 23-27 (Week 3)

Numerical Data
PDF slides

 Reading:

 Topic:

 Online book: Sections 1.3, 1.5, Chapter 2

 Suggested Text: Sections 2.1 -- 2.4

 Sample Code

 Assignment

January 30 - February 3 (Week 4)

User Defined Classes -- Part 1
PDF slides

 Reading:

 Topic:

 Online book: Chapter 3

 Suggested Text: Sections 8.1 -- 8.3, 9.2 - 9.3.

 Sample Code

 Assignment

February 6-10 (Week 5)

Selection Statements
PDF slides

 Reading:

 Topic:

 Online book: Sections 4.1 - 4.7, 6.1 - 6.7

 Suggested Text: Chapter 4

 Sample Code

February 13-17 (Week 6)

Exam 1 Monday Feb 13, 2011  6:30pm -- 7:30pm PHYS 112

Repetition Statements
PDF slides

Reading in suggested text: Chapter 5

Sample Code

 Assignment

February 20-24 (Week 7)

Arrays
PDF slides

 Reading:

 Topic:

 Online book: Chapter 12

 Suggested Text: Chapter 6

 Sample Code

 Assignment

February 27 - March 2 (Week 8)

User Defined Classes -- Part 2
PDF slides

 Sample Code

 Assignment

March 5-9 (Week 9)

GUI and Event-Driven Programming
PDF slides

 Reading:

 Topic:

 Online  Tutorial

 Suggested Text: Chapter 15

 Sample Code

March 12-16

Spring Break (No classes, labs, or recitations)

March 19-23 (Week 10)

Lecture Week 10: Exceptions and Assertions
PDF slides

Exam 2 Monday, March 19 *8:00pm -- 9:00pm, PHYS 112

 Reading:

 Topic:  Exceptions and Assertions

 Suggested Text: Chapter 12

 Sample Code

 Assignment

March 26 - 30 (Week 11)

Lecture Week 11: File Input and Output
PDF slides

 Sample Code

 Reading:

 Topic: File I/O

 Suggested Text: Chapter 19

 Online Text: Appendix B

 Assignment

April 2-6 (Week 12)

Lecture Week 12: Concurrency
PDF slides

 Reading:

 Topic: Concurrency

 Suggested Text: Chapter 13

 Sample Code

April 9-13 (Week 13)

Lecture Week 13:  Recursive Algorithms
PDF slides

 Reading:

 Topic: Recursion

 Suggested Text: Section 8.4

 Online Text: Section 4.8

 Sample Code

April 16-20 (Week 14)

Lecture Week 14: Inheritance and Polymorphism

 Reading:

 Topic: Inheritance and Polymorphism

 Suggested Text: Chapters 11 and 17

 Online Text: Section 15.6

PDF slides

Assignment

April 23 - 27 (Week 15)

No Lectures this week

No graded labs this week. Labs and Recitations will be available as optional help sessions.

May 2-7 (Finals Week)

Final Exam Tuesday May 1st 3:20pm- 5:20pm, PHYS 114

</MENU>

 Midterm-1 Part 2 solutions
Interest.java

Die.java

© 2012 by Purdue University Department of Computer Science.
All rights reserved.

[Assistant]
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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

SPAN 1002 Syllabus
Elementary Spanish II, Section OL & SF, 3 credits
Summer 2026

Instructor Information
Instructor
Email
Dr. Mirla A. González
mgonzalez96@gatech.edu

General Course Information
Description
SPAN 1002, Elementary Spanish II, aims to build oral and written communication skills in Spanish at the
elementary level and improve cultural awareness and literacy of the Spanish-speaking world. SPAN 1002
contributes to students’ education in the humanities by introducing both the Spanish language and the
humanistic cultures of the Spanish-speaking world.
Course Learning Outcomes
Upon successful completion of this course student will be able to:
1. Use Spanish to communicate with peers and instructor both orally and in writing to create a
shared community experience.
2. Employ strategies to comprehend texts (in written, aural, and video form) written by and for
Spanish speakers.
3. Employ strategies to express ideas orally and in writing related to familiar topics in
presentational contexts.
4. Employ strategies to express ideas in interpersonal contexts in culturally appropriate ways,
including identifying and signaling comprehension breakdown, asking and answering questions,
and requesting information.
5. Understand and communicate the basics of Hispanic/Spanish-speaking cultures, modes of life,
and customs.
6. Develop intercultural awareness through the study of the similarities and differences among
and the relationships between language and culture systems.
7. Be prepared to continue developing Spanish language skills and cultural understanding in SPAN
2001.
Course Materials
Course Text: Contraseña
Information on how to purchase Contraseña is available on our Canvas site.
All course materials (discussions, assignments, grades etc.) will be hosted in Canvas.

2

Grading Policy:

•
Preparation 30%
•
Conversations 40%
•
Projects 30%
Description of Graded Components
Since this is a 3 credit class, we will follow the GT scheduling grid that is the equivalent of “meeting”
four times a week. This means you will have deadlines 4 times each week: Monday, Tuesday, Thursday
and Friday at 11:59pm.  No late work will be accepted.
Preparation (30%)
Since this is an asynchronous class, on most days preparation will consist of watching instructional
videos or reading brief explanations (Preparar) and then working your way through a series of activities
(Aplicar) that were carefully designed to help you acquire the vocabulary and grammatical structures in
focus. After each series, you will complete a culminating activity (Comprobar) that will allow you to
demonstrate what you have learned. The Aplicar activities are the equivalent of practice exercises with
an unlimited number of attempts, and the Comprobar activities are the equivalent of quizzes. The
concentrated time and effort you put into preparing for class will constitute 30% of your overall course
grade.

Conversations (40%)
At the end of each unit, you will complete a series of conversational prompts with a partner or small
group where you apply the information learned through the Preparar and Aplicar activities. These
conversational prompts will be completed via Zoom.

Unit Projects (30%)
Each of the Contraseña units that we will cover culminates in a written, oral or video-based project
that allows you to demonstrate your learning. You will begin by learning about and practicing useful
production strategies (Estrategias de producción) and then complete clearly explained steps (Preparar)
to create your project. When it is complete you post it (Publicar) to the Lingrofolio network. Your
instructor will evaluate your projects using criteria that are provided so that you understand the
expectations and how your grade is calculated. This step of the process is private. Your classmates will
not be able to see your grade or the feedback your instructor provides you each week.
Grading Scale
Your final grade will be assigned as a letter grade according to the following scale:
A
90-100%
B
80-89%
C
70-79%
D
60-69%
F
0-59%

3

At Georgia Tech, final course grades are awarded on a scale of A-F with no +/- grades permitted.

Attendance and/or Participation
Although an online course offers greater flexibility, please remember that your timely participation and
online engagement is key to your success in this course, as well as that of your classmates. Late
assignments will not be accepted.
Academic Integrity
Georgia Tech aims to cultivate a community based on trust, academic integrity, and honor. Students are
expected to act according to the highest ethical standards. Review Georgia Tech’s Honor Code and
the student Code of Conduct.

Any student suspected of cheating or plagiarism on a quiz, exam, or assignment will be reported to the
Office of Student Integrity, who will investigate the incident and identify the appropriate penalty for
violations.

Core IMPACTS

This is a Core IMPACTS course that is part of the Humanities area.
Core IMPACTS refers to the core curriculum, which provides students with essential knowledge in
foundational academic areas. This course will help students master course content, and support
students’ broad academic and career goals.
This course should direct students toward a broad Orienting Question:
•
How do I interpret the human experience through creative, linguistic, and philosophical works?
Completion of this course should enable students to meet the following Learning Outcome:
•
Students will effectively analyze and interpret the meaning, cultural significance, and ethical
implications of literary/philosophical texts or of works in the visual/performing arts.
Course content, activities and exercises in this course should help students develop the following
Career-Ready Competencies:
•
Ethical Reasoning
•
Information Literacy
•
Intercultural Competence
Accommodations for Students with Disabilities
If you are a student with learning needs that require special accommodation, contact the Office of
Disability Services (404-894-2563) as soon as possible to make an appointment to discuss your special
needs and to obtain an accommodations letter.  Please also e-mail me as soon as possible in order to
set up a time to discuss your learning needs.
Student-Faculty Expectations Agreement
At Georgia Tech, we believe that it is important to strive for an atmosphere of mutual respect,
acknowledgement, and responsibility between faculty members and the student body. The Student-

4

Faculty Expectations articulate some basic expectations that you can have of me and that I have of you.
In the end, simple respect for knowledge, hard work, and cordial interactions will help build the
environment we seek. Therefore, I encourage you to remain committed to the ideals of Georgia Tech
while in this class.
Collaboration, Group Work, and Use of Generative AI
Language learning occurs in a community of people. However, the following forms of assistance are not
allowed for doing any of the work in this course: copying (from someone else's assignments or from
another source [a reading in a textbook, the Internet, etc.]) without clear attribution of the source;
having another student, a tutor, or a friend suggest changes or correct the work you are to turn in;
completing assignments in consultation with other students (“working together”) unless specified by
your instructor; translating directly from another source; and especially using electronic translation
programs or generative AI unless instructed by the professor. These restrictions apply to any work
turned in for this course, even daily homework assignments.
Extensions, Late Assignments, & Re-Scheduled/Missed Exams
No late assignments or extensions will be granted. Please plan accordingly. Contact your instructor in
the case of extenuating circumstances.

Campus Resources for Students
Student Well-Being
At Georgia Tech, we are concerned about your overall physical, social, and mental well-being. A
comprehensive list of wellness related resources has been compiled and maintained by the Office of
the Vice President for Student Engagement and Well-being (student-resource-guide (gatech.edu)
More resources on supporting student well-being on the syllabus and beyond are available through the
Learning Well Initiative.

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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:
21-120 Diﬀerential and Integral Calculus
Carnegie Mellon University
Department of Mathematical Sciences
Section E
Instructor: Spencer Unger, Wean Hall 7207, sunger@andrew.cmu.edu
Course Dates: June 28, 2010 to August 6, 2010
Lecture: Monday through Friday, 9 to 10:20 AM, Gates Hillman Center 4211
Oﬃce Hours: Tentatively, Tuesday and Thursday 10:30 AM to 12 PM
Text:Stewart, Essential Calculus:Early Transcendentals, First Edition, Thompson Brooks/Cole
Publishing Co., 2007.
Course Webpage: www.math.cmu.edu/~sunger/ Click on the link under teaching.
Prerequisites: A solid understanding of the basic concepts of algebra, geometry and
trigonometry. Usually this means that you have had two years of high school algebra, one year of
high school geometry and half a year of trigonometry. These prerequisites are important. Algebra
is the language through which we will access the concepts of calculus. Proﬁciency in this language
is essential. Many of the concepts that we will cover have trigonometric and geometric content.
Familiarity with trigonometry and geometry will leave us free to explore these concepts.
Calculators: You may use them to check your homework solutions, but they will not me allowed
on tests. The focus of the class is on what we can do with our minds and not on what we can
make a calculator do for us.
Grades: Your grade will be based on a combination of Homework, Tests and a Final. They will
be combined to form your ﬁnal grade as follows:
Homework: 25%
Each of two tests 25%
The Final: 25%
Midterms and the Final: All exams will take place during the normal class time and in the
same room. The two midterms will be on July 9th and July 23th. The Final Exam will be on
August 6th. In the exams you will only be allowed pencils, a sharpener and an eraser. All other
study materials must be put away. No calculators will be allowed.
Homework: There will be six homework assignments. They will be due on each of the
Wednesdays of the course. The ﬁrst assignment will be given out today, June 28th and is due on
June 30th, this Wednesday. Subsequent assignments will be posted on the course webpage as soon
as the previous assignment has been turned in. By necessity the assignments will be long. So do
not wait until the night before to start them. Late assignments will not be accepted.
A note on showing your work. Your written work is the way that you communicate your
understanding of the material. For this reason, showing your work is essential. In order to get full
credit you must provide complete, correct solutions. No credit will be given for answers out of the
blue.
Questions: If you have any questions about the syllabus or the course, then feel free to ask me.
Students with disabilities: If you qualify for accomodation because of a documented disability,
then please come talk to me so that we can accommodate you. You can contact Disability

21-120 Syllabus
2
Resources at 412.268.2013 or at lpowell@andrew.cmu.edu. For more information you can go to
http://www.cmu.edu/hr/eos/disability/index.html.
Some Advice
• Attend class, do your work regularly and do not fall behind. In a summer course we have a
very short time to get through a lot of material. Falling behind is dangerous. All of the
material is interconnected and it is very diﬃcult to catch up once behind.
• Calculus is not diﬃcult, but requires work and dedication.
• If you do not understand something in class, then speak up. Chances are that you are not
the only one who is confused. I am always willing go over something again.
• Studying with other students is a great way to learn, but there are some pitfalls. It is easy
to think that because someone in your study group knows how to do a problem then you
know how to do it. When you study in a group be sure that in the end you know how to do
the problems. Also, copying solutions from your friend is cheating. Not only is it cheating,
but it is self destructive with respect to the exams. On the exams you must be able to do
the problems by yourself in a reasonable amount of time.
• If you are not doing well, do not hesistate to come and talk to me. Do not wait until the
last minute.
• I cannot give you points for how much you worked or even how much you know. Grades will
be given based on what is written on your work. You must provide complete, correct
solutions in order to get full credit. You will have many examples of complete and correct
solutions in class and there are more in the book. The same level of detail is expected of
you in your written work.
Schedule:
Below is a tentative schedule. The exams and homework assignments are ﬁxed, but the section
that we cover on a particular day may change.
Mon June 28 §1.1 Functions and §1.2 Common Functions and their properties
Tue, June 29 §1.3 Deﬁnition of a Limit and §1.4 Calculating limits
Wed, June 30 §1.5 Continuity and The Intermediate Value Theorem and §1.6 Limits involving
inﬁnity
Thu, July 1 §2.1-2 Derivatives
Fri, July 2 §2.3-4 Basic Diﬀerentiation Formulas
Mon July 5 §2.4-5 Derivatives of trigonometric functions and the Chain Rule
Tue, July 6 §2.6 Implicit Diﬀerentiation and §2.7 Related Rates
Wed, July 7 §2.8 Linear Approximation and §3.1 Exponential Functions
Thu, July 8 §3.2 Logarithms and Inverse Functions and §3.3 Derivatives of Logarithms
Fri, July 9 Test 1

21-120 Syllabus
3
Mon July 12 §3.4 Exponential Growth and Decay and §3.5 Inverse trigonometric functions
Tue, July 13 §3.7 Indeterminant forms and L’Hopital’s Rule
Wed, July 14 §4.1 Maximum and Minimum Values and §4.2 The Mean Value Theorem
Thu, July 15 §4.3 Derivatives and the Shapes of of Graphs
Fri, July 16 §4.4 Curve Sketching
Mon July 19 §4.5 Optimization
Tue, July 20 Optimization and Curve Sketching Problems
Wed, July 21 §5.1 Antiderivatives
Thu, July 22 §5.2-3 Integrals
Fri, July 23 Test 2
Mon July 26 §5.4 The Fundamental Theorem of Calculus
Tue, July 27 §5.5 Integration by Substitution
Wed, July 28 Integrating with inverse trigonometric functions
Thu, July 39 §6.1 Integration by parts
Fri, July 30 Integration Problems
Mon August 2 §3.6 Hyperbolic functions and §7.1 Area between curves
Tue, August 3 §7.2-3 Volumes
Wed, August 4 Review
Thu, August 5 Review
Fri, August 6 Final Exam!

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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

ECON 2106 – Principles of Microeconomics
Fall 2026

Syllabus

Class time, location:
GT5 Section: Tu, Th 9:30 – 10:45 am. Klaus 2443
GT4 Section: Tu, Th 12:30 pm – 1:45 pm. Boggs B5

Instructional Staff
Instructor: Bobby Harris (you can call me Professor Harris or Dr. Harris)
Office hours: Th 3-5 pm
Office location: School of Economics (Old Civil Engineering Building), Office 205
Email: bobby.harris@gatech.edu

Teaching assistant: TBD
Office hours: TBD
Location: School of Economics (Old Civil Engineering Building), Office 305
Email: TBD

Course description and learning objectives
Microeconomics is the study of individual, human decision-making. In this course, you will learn
to think like an economist, using conceptual frameworks such as preferences, incentives,
supply, demand, competition, markets, and prices to understand human behavior. The tools of
economic analysis provide a powerful lens to evaluate government policies, understand
business strategies, and make decisions in your own life.

Economists use the tools of microeconomics to study all aspects of life, ranging from business
to the environment, and even to dating and marriage! How should a firm decide how much
output to produce and what price to set? How can one evaluate the tradeoffs between
economic outputs and environmental costs? We will discuss the applied economics of these
and many other real-world examples throughout the course.

This course aims to equip students with the microeconomic tools and intuition necessary to (1)
understand phenomena in public policy, business, and everyday life, (2) anticipate agent
responses to incentives, (3) identify opportunity costs, tradeoffs, and comparative advantage,
and (4) make choices based on marginal benefits and marginal costs (i.e., think on the margin).
In essence, students will learn to think like economists.

2

Required Materials

Textbook and Achieve Homework System
Cowen, Tyler and Alex Tabarrok. Modern Principles: Microeconomics, 6th edition (2024).
Macmillan.

You must purchase the textbook from the publisher or from the bookstore (here) to get access
to the online homework system Achieve. A physical copy of the textbook is not required. If you
do not purchase a copy of the textbook and cannot complete the homework, you will not
receive credit for the assignment, so please do not delay purchasing the textbook.

While you are waiting for the textbook access code to arrive, you can start a free trial or “grace”
period. See the instructions on Canvas for more information.

You can access the Achieve homework system within the course’s Canvas site in the Macmillan
Learning tab.

Canvas
Communication about the course and other course materials is available on Georgia Tech’s
Canvas system. I will upload additional course materials and post course announcements on the
course page. You can access Canvas at https://canvas.gatech.edu/.

Point Solutions
We will use a digital polling platform called PointSolutions to track lecture attendance and
measure understanding of course material in real-time. Polls will be graded for accuracy and
will be included in the participation component of your grade. Therefore, you are expected to
bring an internet-enabled device to every lecture. Instructions for creating an account and
linking it to Canvas are posted on Canvas. To avoid concerns about excused vs. unexcused
absences, mobile/web devices not working, polls closing before you can submit, etc., I will drop
the bottom 10% of poll scores. No other exceptions will be made.

Grading Policies

Graded assignments and tests serve three purposes (among others):
1. To serve as a mechanism to incentivize and facilitate student effort and learning.
2. To provide feedback to the instructor about instructor effectiveness and to provide
feedback to the student about current performance in the course.
3. To certify student achievement to the Institute and to future employers.

Thus, I will assign problems that are graded as a pass/fail for completion (LearningCurve
homework assignments) to incentivize you to read the course materials, short, graded
homework assignments to engage you in learning and to provide feedback before exams, and

3

exams to evaluate your overall performance in the course. In addition, lecture attendance and
participation will be measured via a digital polling platform.

Material
Possible points Approx. weight
LearningCurve homework assignments
(5 points/chapter)
80
8.7%
Graded homework assignments (10 points/chapter)
160
17.4%
Class attendance and participation (PointSolutions)
80
8.7%
Midterm exam 1
150
16.3%
Midterm exam 2
150
16.3%
Final exam (comprehensive)
300
32.6%
Total:
920
100%
Extra credit
~20
~2.2%

There are 920 possible points for graded assignments in the course, thus your final grade is the
number of points you earn (plus extra credit) divided by 920. Your final grades transfer to the
Georgia Tech grading system as follows:

Letter
grade GPA Description
Grade range (using
interval notation)
A
4.0  Excellent
[90%, 100%]
B
3.0  Good
[80%, 90%)
C
2.0  Satisfactory
[70%, 80%)
D
1.0  Passing
[60%, 70%)
F
0.0  Failure
[0%, 60%)

In reading interval notation, left square brackets indicate “greater than or equal to.” Right
parentheses indicate “less than.” Thus, for instance, grades greater than or equal to 80% but
less than 90% will earn a B.

Note that grades are not rounded up (e.g., 89.99% is still a B). I reserve the right to increase all
final grades equally if the material is more difficult than expected, but this is unlikely. At the
end of the semester, your final grade cannot be changed with extra credit or makeup
opportunities; this is for fairness to all students.

4

Grade revisions
The instructional staff takes great care to ensure student assignments are diligently and fairly
graded. However, we may make mistakes. A student who believes coursework was incorrectly
graded may submit to the instructor a brief, typed memo detailing the potential error and
requesting instructor review. This memo must be submitted within one week of the student’s
receipt of the relevant graded assignment. Assignments that are submitted for the instructor
review will be examined in their entirety (such that the grade could be revised down). Students
are not guaranteed to receive higher grades when their assignments are reviewed by the
instructor.

Pass/fail policy
If you are taking the class pass/fail, you must achieve a C grade to earn a pass in the class.
Please reach out to me at the beginning of the semester if you are taking the class pass/fail.

Homework policy
Both LearningCurve and graded homework assignments are completed via the online
homework system Achieve associated with the textbook. LearningCurve assignments are
graded on a pass/fail basis. Each question you answer correctly earns points toward a target
score. When your score meets or exceeds the target score, you will get full credit for the
assignment. (If you want more practice, you can continue answering LearningCurve questions
after you have achieved the target score.) Graded homework assignments are assessed by the
accuracy of your answers. Each LearningCurve assignment is worth five (5) points and each
graded homework assignment is worth ten (10) points.

There is one LearningCurve assignment and one graded homework assignment per chapter of
the textbook. In some weeks we will cover two chapters; therefore, there will be two
LearningCurve assignments and two graded homeworks in those weeks.

All homework assignments are due by 11:59 pm ET on their due date. This deadline is strict for
LearningCurve assignments. I will accept a late graded homework assignment up to 24 hours
after the due date for a 10% penalty. After 24 hours late, you may not earn credit for the
assignment. There are no makeup opportunities.

Your two lowest LearningCurve grades do not count for the final course grade. Your two lowest
graded homework grades do not count for the final course grade.

Extra credit podcasts
Podcasts are one of the most enjoyable ways to learn about economics. To incentivize you to
explore economics podcasts without making them stressful or a time burden, I will offer several
extra credit opportunities for listening to assigned economics podcasts and completing
corresponding podcast quizzes.

You will be able to earn approximately 10 extra credit points throughout the semester for
completing the podcast quizzes. A podcast (and corresponding quiz) will be assigned

5

approximately weekly (with some exceptions). The podcast and quiz will be available in the
Modules section on Canvas.

Podcast quizzes will be due by 11:59 pm ET on the weekly due date (along with other course
assignments). Late podcast quizzes do not count and there are no makeup opportunities.

CIOS extra credit
Your feedback helps improve the course. At the end of the semester, Georgia Tech issues a
CIOS Course Survey. To encourage you to fill out this anonymous survey and keep response
rates high, I will give extra credit to the whole class based on the CIOS response rates in the
class.

If we get a 60 percent response rate, I will give everybody 2 points of extra credit (based on the
possible points outlined above; i.e., not a percentage point). If we get an 80 percent response
rate, I will give everybody 3 points of extra credit. If we get a 90 percent response rate, I will
give everybody 6 points of extra credit. If we get a 100 percent response rate, I will give
everybody 10 points of extra credit. I will count the CIOS completion deadline for this offer as of
the day after the Final Exam at 11:59 pm.

Exam policy
The course has two exams during the middle of the semester and one cumulative final exam.
Exams will be taken in person and cannot be rescheduled. If there is a verifiable emergency or
approved athletic absence, we can work out an appropriate resolution. For illness, injury, or
other emergency, provide appropriate documentation to the Office of the Dean of Students
(https://studentlife.gatech.edu/content/class-attendance). False doctor’s notes fall under the
Academic Honor Code.

Collaboration
In this course, group work and discussion are allowed on homework assignments. When turning
in homework assignments, each student must turn in an individual submission via Achieve. The
midterm and final exams are not to be discussed between students and must be completed
individually. The table below summarizes these policies.

Type
Group or Individual Work
Turn in
Homework assignments  Group discussion and
collaboration allowed
Each student makes their own online
submission.
Podcast quizzes
Group discussion and
collaboration allowed
Each student makes their own online
submission.
Exams
Individual work only. No
discussion and no
collaboration allowed.
Exams will be in-class.
Each student makes their own
submission.

6

I trust you to complete exams individually. Cheating on exams is very serious and results in a
zero grade and a report to the Office of Student Integrity and Dean of Students. See the section
on Academic Integrity.

Course Policies

Email policy
Please include “ECON 2106” at the beginning of the subject line of any emails to any members
of the instructional staff (Professor Harris and your TA). This helps us to navigate our email
inboxes and ensure that we do not miss your email.

Every effort will be made to respond within 24 hours to questions posed via email; however,
substantive questions related to course material should be reserved for office hours or lecture.
Questions related to assignments should be posed more than one day in advance of r

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