This course continues the study of calculus. More techniques of integration will be investigated in this course. The concepts of limits, differentiation, and integration will be applied to problems in differential equations, sequences, series, and Taylor series. Parametric equations, polar coordinates, and vectors will also be introduced. (Calculus 1 is a prerequisite for this course).
Students will be instructed in utilization of technology. Online, freely available technology will often be recommended. Student calculations will be submitted via WebAssign mathematical editor for online homework. Students will utilize email and/or Blackboard for written communication.
An understanding of the topics and core concepts in Calculus I is prerequisite knowledge for Calculus II.
By the end of this course, you will be able to:
Four applied problems are assigned within Brightspace. You will either type up your solutions in a word or PDF document or take a picture of your hand-written solutions and upload it to Brightspace.
Six problem sets are assigned through WebAssign, an online homework tool. The problem sets typically cover problems from three different sections of the text, plus a recap and review section each week. Students can retry problems up to five times if they get questions wrong.
There will be a total of four discussion boards in the course. The discussion boards are designed to encourage students to reflect on their learning process and collaborate with one another on problems in the course that are challenging them.
A midterm exam will take place in WebAssign at week four. A practice midterm exam will be available to help students study. This exam must be taken with the Respondus Lockdown Browser.
A final exam will take place in WebAssign at week six. A practice exam will be available to help students study. This exam must be taken with the Respondus Lockdown Browser.
Your grade in this course will be determined by the following criteria:
| Assignment Category | Grade Percentage |
|---|---|
| Applied Problems | 15% |
| Midterm Assessment | 20% |
| Final Assessment | 20% |
| Homework Problem Sets | 30% |
| Discussion Boards | 15% |
| Total | 100% |
| Grade | Points Grade | Point Average (GPA) |
| A | 94 – 100% | 4.00 |
| A- | 90 – 93% | 3.75 |
| B+ | 87 – 89% | 3.50 |
| B | 84 – 86% | 3.00 |
| B- | 80 – 83% | 2.75 |
| C+ | 77 – 79% | 2.50 |
| C | 74 – 76% | 2.00 |
| C- | 70 – 73% | 1.75 |
| D | 64 – 69% | 1.00 |
| F | 00 – 63% | 0.00 |
Week 1: May 20 – May 26
Week 2: May 27 – Jun 2
Week 3: Jun 3 – Jun 9
Week 4: Jun 10 – Jun 16
Week 5: Jun 17 – Jun 23
Week 6: Short Week Jun 24 – Jun 28
All weekly assignments are due by 11:59 PM ET at the end of the appropriate week. Check your course for additional due dates within the week.
|
Week |
Content | Due Dates |
|
1 |
Chapter 1, Modules 1 & 2 |
Homework: Sunday 11:59 PM Introduction Discussion Discussion: Initial Post: Friday, 11:59 PM, Responses: Sunday, 11:59 PM |
|
2 |
Chapters 2-3.3, Modules 3 & 4 |
Homework: Sunday, 11:59 PM Applied Problem 1: Sunday, 11:59 PM |
|
3 |
Chapter 3.4-3.7, Chapter 4, Modules 5, 6, 7 |
Homework: Sunday 11:59 PM Applied Problem 2: Sunday, 11:59 PM Discussion: Initial Post: Friday, 11:59 PM, Responses: Sunday, 11:59 PM |
|
4 |
Chapter 5, Module 8 & 9 Practice Midterm Exam Midterm Exam |
Homework: Sunday, 11:59 PM Discussion: Initial Post: Wednesday, 11:59 PM, Responses: Friday, 11:59 PM Applied Problem 3: Sunday, 11:59 PM Exam: Sunday, 11:59 PM |
|
5 |
Chapter 6, Chapter 7.1-7.2, Modules 10 & 11 |
Homework: Sunday 11:59 PM |
|
6 |
Chapters 7.3-7.5, Module 12 Practice Final Exam Final Exam |
Homework: Friday, 11:59 PM Discussion: Monday, 11:59 PM, Responses: Wednesday, 11:59 PM Applied Problem 4: Friday, 11:59 PM Exam: Friday, 11:59 PM |
Your Student Support Specialist is a resource for you. Please don't hesitate to contact them for assistance, including, but not limited to course planning, current problems or issues in a course, technology concerns, or personal emergencies. If you are a current UNE undergraduate taking online Summer Session courses, please continue to work with your Advisor and include them on your outreaches.
Questions? Email: summersessiononline@une.edu.
Your student support specialist monitors course progression and provides assistance or guidance when needed. They can assist questions regarding ordering course materials, University policies, billing, navigating the course in Brightspace, and more.
To request an accommodation a student needs to go through the process with our UNE office. If the student has a current/already established accommodation in place with UNE it is the responsibility of the student to notify the program at summersessiononline@une.edu to ensure it is applied properly.
If you need to inquire about a possible accommodation, please reach out to the Student Access Center by calling 207-221-4418 or send an email to pcstudentaccess@une.edu.
If you are a current UNE undergrad, please continue to work with your coordinator at bcstudentaccess@une.edu and ensure any accommodations you have in place - are put in place for your online Summer Session course(s).
Togetherall is a 24/7 communication and emotional support platform monitored by trained clinicians. It’s a safe place online to get things off your chest, have conversations, express yourself creatively, and learn how to manage your mental health. If sharing isn’t your thing, Togetherall has other tools and courses to help you look after yourself with plenty of resources to explore. Whether you’re struggling to cope, feeling low, or just need a place to talk, Togetherall can help you explore your feelings in a safe supportive environment. You can join Togetherall using your UNE email address.
Students should notify their Student Support Specialist and instructor in the event of a problem relating to a course. This notification should occur promptly and proactively to support timely resolution.
ITS Contact: Toll-Free Help Desk 24 hours/7 days per week at 1-877-518-4673.
Check Brightspace for specific instructor and support specialist contact information.
Online students are required to submit a graded assignment/discussion prior to Sunday evening at 11:59 pm EDT of the first week of the term. If a student does not submit a posting to the graded assignment/discussion by 11:59 pm EDT on Sunday of the first week, the student will be automatically dropped from the course for non-participation.
Your course may have proctored exams. For all proctored exams, an external camera is required. Please see the course for the exact exam requirements, test-taker guidance, proctoring format, and allowances (such as calculators or whiteboards, as indicated in the course). https://success.une.edu/science-prerequisites/honorlock/
Information about exam attempts can be found in your course.
A schedule of lectures and assignments is included in this syllabus.
Courses in the program are equivalent to one-semester courses designed to be completed in 6 or 12 weeks.
Please review the technical requirements for UNE Online Programs: Technical Requirements.
Please review the policies in your confirmation email. Contact summersessiononline@une.edu with any questions.
Students are expected to attempt and complete all graded assignments and proctored exams by the end date of the course.
Unless stated otherwise by your faculty: Late assignments will be accepted up to 3 days late; however, there is a 10% grade reduction (from the total points) for the late submission. After three days, the assignment will not be accepted. Discussion posts: If the initial post is submitted late, but still within the discussion board week, there will be a 10% grade reduction from the total discussion grade (e.g., a 3-point discussion will be reduced by 0.3 points). Any posts submitted after the end of the Discussion Board week will not be graded. Please make every effort ahead of time to contact your instructor if you are not able to meet an assignment deadline. Arrangements for extenuating circumstances may be considered by faculty.
Due to the Family Educational Rights and Privacy Act, only the student may request official transcripts. This may be done online by going to the University of New England Registrar website and following the directions on the page.
The University of New England values academic integrity in all aspects of the educational experience. Academic dishonesty in any form undermines this standard and devalues the original contributions of others. It is the responsibility of all members of the University community to actively uphold the integrity of the academy; failure to act, for any reason, is not acceptable.
Academic dishonesty includes, but is not limited to the following:
Charges of academic dishonesty will be reviewed by the College. Penalties for students found responsible for violations may depend upon the seriousness and circumstances of the violation, the degree of premeditation involved, and/or the student’s previous record of violations. Appeal of a decision may be made to the Dean whose decision will be final. Student appeals will take place through the grievance process outlined in the student handbook.
Generative AI (GenAI) applications (like ChatGPT) have proven to be powerful and effective tools, and students are encouraged to become familiar with and use them. However, as with any tool, students must use GenAI in ways that support learning, not replace it. Learning to use AI responsibly and ethically is an important skill in today’s society.
In their courses, students are not allowed to use advanced automated tools, such as generative AI tools, on assignments unless explicitly directed to do so. Each student is expected to complete each assignment, including labs and quizzes as applicable, without substantive assistance from others, including automated tools.
Using AI-content generators to complete assignments without proper attribution violates academic integrity. By submitting assignments in UNE courses, you pledge to affirm that they are your own work and you attribute use of any and all tools and sources.
Unauthorized Use
Unauthorized use of AI is treated as a violation of academic integrity.
Citing AI Use
If permitted, students should indicate and cite any use of AI tools.
Instructor Responsibility
Instructors should clearly reiterate, using UNE AI Use Policy, how students can use AI tools in their courses, and communicate this policy to students at the beginning of the semester.
Student Responsibility
Students must follow the academic integrity policy of the University of New England.