Course Syllabus

2025-2026_Syllabus_Mat220_Calculus1.pdf

Calculus I (Fall 2025)

Instructor: Isatou Jobe
Class Schedule: Mondays and Wednesdays, 5:00 PM – 7:15 PM MST
Location: Online via Zoom
Email: ndeyisatoujobe@hsph.harvard.edu
Office Hours: By Appointment

Course Description

This course covers foundational concepts in differential and integral calculus, including limits, continuity, derivatives, applications of derivatives, the Fundamental Theorem of Calculus, and introductory integration techniques. Emphasis is placed on conceptual understanding and practical application.

In addition to regular lectures, mandatory lab sessions will be held on select weeks where the instructor will walk through problem sets related to topics covered in class. These sessions are designed to reinforce conceptual understanding and provide students with step-by-step guidance on problem-solving.

Learning Outcomes

By the end of this course, students will be able to:

Evaluate limits and determine continuity.
Compute derivatives and apply differentiation rules.
Solve problems involving related rates and optimization.
Analyze and sketch graphs of functions using calculus.
Understand and apply the Fundamental Theorem of Calculus.
Calculate definite and indefinite integrals.
Model growth and decay using exponential functions.

Course Schedule:

Course Week	Calendar Week	Topic	Notes
Week 1	Aug 18, 20	Course Intro, Functions & Graphs
Week 2	Aug 25, 27	Limits and Continuity; Lab 1
Week 3	Sep 3	Derivatives: Concept & Notation	Homework 1 released Aug 31, due Sep 7
Week 4	Sep 8, 10	Basic Derivative Rules; Chain Rule, Implicit Differentiation
Week 5	Sep 15, 17	Second Derivatives and Beyond; Lab 2	Homework 2 released Sep 14, due Sep 21,
Week 6	Sep 22, 24	Related Rates; Midterm Recap
Week 7	Sep 29	Midterm Exam
Week 8	Oct 6, 8	Linearization and Differentials; Lab 3
Week 9	Oct 13, 15	Optimization, Extrema, Mean Value Theorem; Curve Sketching & Concavity	Homework 3 released Oct 12, due Oct 19
Week 10	Oct 20, 22	Antiderivatives; Lab 4
Week 11	Oct 27, 29	Riemann Sums; FTC	Homework 4 released Nov 2, due Nov 9
Week 12	Nov 3, 5	Definite Integration; Lab 5
Week 13	Nov 10, 12	Applications of Definite Integrals; Lab 6	Homework 5 released Nov 16, due Nov 23
Week 14	Nov 17, 19	Modeling Exponential Growth and Decay; Applying Exponential Growth and Decay
Week 15	Nov 24, 26	Guest Lecture; Lab 7

Week 16. Dec 1, 3 Guest Lecture; Final Recab

Note:

Mandatory lab sessions will be led by the instructor and are focused on step-by-step walkthroughs of problem sets aligned with lecture material.
The Final Exam is a take-home assessment, released on December 1 and due by December 7 at 11:59 PM MST.
Students are expected to work independently and uphold the highest standards of academic integrity.
Guest Lecture: Daniel Barron (Yale Alumni, Author, Psychiatrist & Researcher). Topic: “How Calculus Can Inform Choosing a Career"
Guest Lecture: Rachel Sussman (Harvard Alumni, Data Scientist). Topic: “From Equations to Algorithms: A Math-Driven Path to Data Science”

Important Dates

Labor Day (No Class): Sep 1
Fall Break (No Class): Oct 1
Last Day of Instruction: Dec 3
Final Grades Due: Dec 12

Grading Policy

Bi-weekly Homework Assignments: 35%
In-Class Midterm Exam (Open book): 30%
Take-Home Final Exam: 30%
Attendance & Participation (Mandatory Labs and Guest Lectures): 5%
Active participation in labs and guest lectures is required. This grade reflects not just presence, but engagement during these sessions.
Total: 100%

Homework Policy

Homework is due by 11:59 PM MST on the due date and must be submitted online via Canvas as a single file containing your handwritten solutions.Solutions will be provided on Canvas after the due date.
Late Homework Policy: Each student receives one automatic, no-cost 24-hour extension for the first late homework—no formal request needed. For all subsequent late submissions, 20 points (out of 100) will be deducted for each day the assignment remains overdue.

Exam Schedule (Tentative)

Midterm Exam (Open-book, In-Class): Monday, Sept 29, 2025
Final Exam (Take-home): Distributed Dec 1, Due Dec 8 (submit online)

Suggestions for Studying

Stop me ANY time for questions — there are no bad questions in math!
Group discussions are encouraged and can deepen your understanding.

Academic Integrity

Students are expected to adhere to the highest standards of academic honesty. Collaboration is encouraged, but all submitted work must be your own.

Important Notes

Students needing accommodations:
Please notify me as early as possible if you require accommodations. Students with disabilities are encouraged to contact the student support staff at Tohono O'odham Community College at the beginning of the quarter so appropriate accommodations can be arranged in a timely manner.

Academic Integrity:
Academic dishonesty and plagiarism will result in a failing grade on the assignment. Plagiarism includes using someone else’s ideas or phrasing—intentionally or carelessly—without proper citation. This includes everything from full solutions to problems, mathematical expressions, graphs, proofs, computational steps, homework, or exams.
Please review Tohono O'odham Community College’s academic honesty policies for more information.