New York University Tandon School of Engineering
Technology Management and Innovation
MG UY 2624 Business Economics
Spring 2026 - Syllabus
Michael D’Emic PhD
To contact professor:
Instructor: Michael D’Emic, PhD
Email: mtd299@nyu.edu
Office Location: 2 MetroTech Center 1096
Office Hours: Mon./Wed. 12:30-1:30
Class Meetings: Tues/Thurs 10:00-11:50 AM
Course Location: JAB 775B
Course Prerequisites
Prerequisites: MA-UY 1024 or MA-UY 1324. Anti-requisite: FIN-UY 2003
Course Description
This is a semester-long course worth 4 credit hours.
The course is an introduction to economics from a management perspective. The
microeconomics component covers price theory, production and cost theory, the theory
of the firm and market theory, with emphasis on the practical relevance of these to the
management of technology-intensive enterprises. The macroeconomics component
covers elements of macroeconomics that inform business decision-making. This entails
a focus on the effect of fiscal policy on GDP growth and the effect of monetary policy on
interest rates and inflation.
Course Objectives
1. Students will obtain a firm grasp of the essentials of microeconomics and of the
relevance of these as a framework for making business decisions.
2. Students will obtain an understanding of the elements of macroeconomics and of
the relevance to the broader framework in which business decisions are made.
3. Students will develop intellectual tools to assist them to think clearly and critically
about the decisions that managers of firms in a free-market economy are
required to make, with special emphasis upon technology intensive enterprises.
4. Students will grasp the central place of risk and innovation in market driven
enterprise—in particular in relation to technology.
Course Structure
In-Person: This course is conducted entirely in person, and you are required to attend
classes on campus. All class meetings will be held on Tuesdays and Thursdays from
10:00 to 11:50 AM, in JAB 775B. You will engage in lectures, discussions, activities, and
assessments directly in the classroom.
Grade Breakdown (%) [Note: adjust this to fit the structure of your course]




Test 1: 20%
Midterm Exam: 30%
Test 2: 20%
Final Exam:30%
Alpha/Numeric Grade Scale
95-100
A
90-94
A-
85-89
B+
80-84
B
75-79
B-
70-74
C+
65-69
C
60-64
C-
55-59
D+
50-54
D
X<50
F
Learning Time Rubric
Learning Time
Element
Weekly Lectures
Time on Task for Students
(weekly estimate)
8 hours
Reading
Assignments
3 hours
Problem Sets
3 hours
Notes
Lectures each week will be held in
person.
Reading references articles and other
background material.
There will be an assignment every week
Course Communication
There are a few ways that your professor will communicate with you throughout the
semester. You may receive communication and information directly from this syllabus,
via email, or during office hours. In addition, your professor will communicate through
NYU Brightspace, using the following methods:
Announcements –
Announcements will be posted on NYU Brightspace to keep you up-to-date on all
course activities and deadlines. You can locate all class announcements under the
Announcements tab of our class. It is your responsibility to check the class
announcements regularly as they will contain important information about class
assignments and other class matters.
Discussion Forums –
Discussion forums are an excellent way for you to engage with the course material and
with your peers. Any discussion forums for this course will be accessible through the
Discussions tab in your NYU Brightspace course site.
Virtual Meetings –
In addition to weekly in-person class meetings, your professor may choose to hold
virtual meetings through the Zoom tool on NYU Brightspace, e.g. office hours.
Netiquette –
When engaging with others in NYU Brightspace, it is important to interact in an
appropriate manner. Always use professional language (no netspeak) in your
discussion board posts. Please always be respectful of your classmates even if you
disagree with their ideas.
Readings
The textbooks that will be used for the course are the following: Paul G. Keat and Philip
K.Y. Young, Managerial Economics: Economic Tools for Today’s Decision Makers, 7th
edition (Pearson/Prentice Hall, Saddle River N.J., 2009); ISBN 978-0-13-302026-7
(“KY”); and N. Gregory Mankiw, Principles of Macroeconomics, 9th edition (Cenage
Learning, Madison, 2021); ISBN 13-978-0357-133491 (“NGM”).
You can access NYU’s library here: http://library.nyu.edu/
Course Requirements
The course will follow the assigned textbook assignments closely but by no means
slavishly. Additional material, not contained in the textbook, will also be included and
will form part of the corpus of knowledge presented in the course. In general, we will
attempt to cover one chapter topic each week. In general, two two-hour lecture periods
will be dedicated to each topic. The instructor will provide an exposition of the subject
matter during the first lecture period. This will be reinforced by class discussion and
exercises during the second lecture period. Students will be expected to have
completed the assigned reading prior to the introductory lecture and to have prepared
the questions and problems assigned for participation in the follow-up exercises. It is
crucial for success in this course that the student remain current with the reading and
the assignments.
Course Schedule
Jan. 20
Course Introduction
KY: Chapter 1, pp. 5-9; Chapter 2, pp. 22-34.
Jan. 22-27
Demand and Supply
KY: Chapter 3 and Appendix 3A, “The Mathematics of Supply and
Demand’’.
Problems 1-5 and 9a.
Jan. 29-Feb. 5
Elasticity
KY: Chapter 4.
Problems 2, 3, 5, 10.
Feb. 10
Test # 1
Feb. 12-19
Production Theory: Short-Run
KY: Chapter 6, pp. 181-193
Problems 2 & 3.
Feb. 24-26
Production Theory: Long-Run
KY: Chapter 6, pp. 193-198, pp. 205-209 and Appendix 6B, “The
Multiple Input Case“.
Problems 4, 11, 14.
Mar. 3-5
Cost Theory: Short-Run
KY: Chapter 7, pp. 249-260 and Appendix 7A, “A Mathematical
Restatement of the Short-Run Cost Function’’.
Problems 4, 6, 10, 12.
Mar. 10
Cost Theory: Long-Run
KY: Chapter 7, pp. 260-269 and pp. 280-288.
Problems 5 & 7.
Mar. 12
Mid-Term Examination (cumulative)
Mar. 24-26
Pricing and Output Decisions: Perfect Competition & Monopoly
KY: Chapter 8 and Appendix 8A, “The Use of Calculus in Pricing
and Output Decisions“.
Problems 1, 2, 4, 5, 7, 8, 9.
Apr. 2-7
Pricing and Output Decisions: Monopolistic Competition and
Oligopoly.
KY: Chapter 9
Problems 3, 6, 7.a.
Apr. 9
Test # 2 (non-cumulative)
Apr. 14
Gross Domestic Product (GDP)
NGM Chapter 10
Problems 1, 3, 4, 5, 9, 12
NGM Chapter 12
Problems 1, 5
Apr. 16-21
Economic Growth
NGM Chapter 13
Problems 3, 4, 6, 9
Apr. 23-28
The Monetary System
NGM Chapter 16
Problems 7, 8, 9, 11
Apr. 30-May 5
Monetary Policy and Inflation
NGM Chapter 17
Problems 1, 3, 9
TBD
Final Examination (cumulative from the mid-term exam)
Course Policies
Generative Artificial Intelligence Use
Students may, of course, make use of AI tools as study aids, as relevant. However, the
grade will be based entirely upon the results of the pencil and paper tests and exams
taken in class.
Late Work
Makeup exams will be given only in exceptional circumstances and approved by the
Student Advocate.
Moses Center Statement of Disability
If you are a student with a disability who is requesting accommodations, please contact
New York University’s Moses Center for Student Accessibility (CSA) at 212-998-4980 or
mosescsa@nyu.edu. You must be registered with CSA to receive
accommodations. Information about the Moses Center can be found at
www.nyu.edu/csa. The Moses Center is located at 726 Broadway on the 2nd floor.
NYU School of Engineering Policies and Procedures on Academic Misconduct
(from the School of Engineering Student Code of Conduct)
A. Introduction: The School of Engineering encourages academic excellence in an
environment that promotes honesty, integrity, and fairness, and students at the
School of Engineering are expected to exhibit those qualities in their academic work.
It is through the process of submitting their own work and receiving honest feedback
on that work that students may progress academically. Any act of academic
dishonesty is seen as an attack upon the School and will not be tolerated.
Furthermore, those who breach the School’s rules on academic integrity will be
sanctioned under this Policy. Students are responsible for familiarizing themselves
with the School’s Policy on Academic Misconduct.
B. Definition: Academic dishonesty may include misrepresentation, deception,
dishonesty, or any act of falsification committed by a student to influence a grade or
other academic evaluation. Academic dishonesty also includes intentionally
damaging the academic work of others or assisting other students in acts of
dishonesty. Common examples of academically dishonest behavior include, but are
not limited to, the following:
1. Cheating: intentionally using or attempting to use unauthorized notes, books,
electronic media, or electronic communications in an exam; talking with fellow
students or looking at another person’s work during an exam; submitting work
prepared in advance for an in-class examination; having someone take an
exam for you or taking an exam for someone else; violating other rules
governing the administration of examinations.
2. Fabrication: including but not limited to, falsifying experimental data and/or
citations.
3. Plagiarism: intentionally or knowingly representing the words or ideas of
another as one’s own in any academic exercise; failure to attribute direct
quotations, paraphrases, or borrowed facts or information.
4. Unauthorized collaboration: working together on work that was meant to be
done individually.
5. Duplicating work: presenting for grading the same work for more than one
project or in more than one class, unless express and prior permission has
been received from the course instructor(s) or research adviser involved.
6. Forgery: altering any academic document, including, but not limited to,
academic records, admissions materials, or medical excuses.
Access the entire School of Engineering Student Code of Conduct here:
engineering.nyu.edu/academics/code-of-conduct
Statement On Inclusion
The NYU Tandon School values an inclusive and equitable environment for all our
students. I hope to foster a sense of community in this class and consider it a place
where individuals of all backgrounds, beliefs, ethnicities, national origins, gender
identities, sexual orientations, religious and political affiliations, and abilities will be
treated with respect. It is my intent that all students’ learning needs be addressed both
in and out of class and that the diversity that students bring to this class be viewed as a
resource, strength, and benefit. If this standard is not being upheld, please feel free to
speak with me.