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MANE 6313

Week 1, Module E

Student Learning Outcome

Succeed in MANE 6313.

Module Learning Outcome

Explain the course policies


Course Policies and Procedures

We value a positive and supportive learning environment, and for us to thrive together, we must recognize that our responsibilities, actions, and contributions can impact and transform our learning. The course policies listed below are created to ensure your success by fulfilling course expectations while remaining flexible to account for unexpected events.

Recorded Material Policy

The use of classroom recordings is governed by the Federal Educational Rights and Privacy Act (FERPA), UTRGV's acceptable-use policy, and UTRGV HOP Policy STU 02-100 Student Conduct and Discipline. A recording of class sessions will be kept and stored by UTRGV, in accordance with FERPA and UTRGV policies. Your instructor will not share the recordings of your class activities outside of course participants, which include your fellow students, teaching assistants, or graduate assistants, and any guest faculty or community-based learning partners with whom we may engage during a class session. You may not share recordings outside of this course. As referenced in UTRGV HOP Policy STU 02-100 Student Conduct and Discipline, doing so may result in disciplinary action.


Use of Artificial Intelligence (AI) Technologies

Generative AI technologies are growing and evolving rapidly. We will have an opportunity to explore the benefits, challenges, and ethical decisions engineers encounter in the use of AI in this course. Generative AI will be incorporated into this course in a limited and specified manner.

Students are discouraged from using Generative AI technologies such as Chat GPT or Microsoft Copilot for homework. The goal of homework is to gain confidence and proficiency in your engineering analysis and Generative AI technologies will not be available for in-class tests. Submission of printed Generative AI output for student homework will result in a grade of zero and be reported as academic dishonesty.

For most laboratory assignments, Generative AI may not be submitted. Each laboratory assignment will contain a clear statement whether Generative AI can or cannot be used. Submission of code generated using Generative AI when not allowed will result in a grade of zero and will be reported as academic dishonesty.


ACADEMIC INTEGRITY

Academic integrity is fundamental in our actions, as any act of dishonesty conflicts as much with academic achievement as with the values of honesty and integrity. Violations of academic integrity include, but are not limited to: cheating, plagiarism (including self-plagiarism), and collusion; submission for credit of any work or materials that are attributable in whole or in part to another person; taking an examination for another person; any act designed to give unfair advantage to a student; or the attempt to commit such acts (Board of Regents Rules and Regulations, STU 02-100, and UTRGV Academic Integrity Guidelines). All violations of Academic Integrity will be reported to Student Rights and Responsibilities through Vaqueros Report It.


Student Support Resources

Center Name E-mail
Advising Center AcademicAdvising@utrgv.edu
Career Center CareerCenter@utrgv.edu
Counseling Center Counseling@utrgv.edu
Food Pantry FoodPantry@utrgv.edu
Learning Center LearningCenter@utrgv.edu
University Library circulation@utrgv.edu
Writing Center WC@utrgv.edu
UCentral ucentral@utrgv.edu

Technical Support

If you need assistance with course technology (Bright Space) at any time, please contact the Center for Online Learning and Teaching Technology (COLTT).


University Policy Statements

SEXUAL MISCONDUCT AND MANDATORY REPORTING (Required)

In accordance with UT System regulations, your instructor is a "Responsible Employee" for reporting purposes under Title IX regulations and so must report any instance of sexual misconduct, which includes sexual assault, stalking, dating violence, domestic violence, and sexual harassment to the Office of Title IX and Equal Opportunity (otixeo@utrgv.edu). More information can be found on the OTIXEO website. If students, faculty, or staff would like confidential assistance, or have questions, they can contact OAVP (Office for Advocacy & Violence Prevention).


STUDENT ACCESSIBILITY SERVICES

Student Accessibility Services has offices on Brownsville and Edinburg campuses. Visit the SAS web page to learn more and explore accessibility services.


STUDENTS WITH DISABILITIES

Students with a documented disability (physical, psychological, learning, or other disability which affects academic performance) who would like to receive reasonable academic accommodations should contact Student Accessibility Services (SAS)) for additional information. The student must apply for accommodations using the mySAS portal and is responsible for providing sufficient documentation of the disability to SAS. Upon submission of the request, students should expect to participate in an interactive discussion, or an intake appointment, with SAS staff. Accommodations may be requested at any time but are not retroactive, meaning they are valid moving forward after approval by SAS. Students should contact SAS early in the semester/module for guidance.

Students who experience a broken bone, severe injury, or undergo surgery may also be eligible for temporary accommodations. Please contact Student Accessibility Services (SAS)) for more information.


Title IX of the Education Amendments of 1972 prohibits discrimination based on sex, which includes discrimination based on pregnancy, marital status, or parental status.

Students seeking accommodations related to pregnancy, pregnancy-related condition, or parenting should submit the request using the form found at Pregnancy and Parenting | UTRGV.


MANDATORY COURSE EVALUATION PERIOD

Students have the opportunity to complete an ONLINE evaluation of this course through Watermark Course Evaluations and Surveys, which may be accessed through my.UTRGV or the Bright Space course module. Course evaluations are used by the instructor to inform revisions of the course to ensure student success. Course evaluations are also used by the instructor for annual performance review, promotion applications, teaching award applications, among others.

Online evaluations will be available on or about:

Spring 2026 Regular Term: April 15 - April 21, 2026