Faculty Syllabus

INMT 2388 - Internship - Manufacturing Technology/Technician

• A work-based learning experience that enables students to apply specialized occupational theory, skills, and concepts.
• A learning plan is developed collaboratively by the college and the employer.
• No required textbooks.

Student Learning Outcomes

CO1 - Apply theory, concepts, and skills related to specialized materials, tools, equipment, procedures, regulations, laws, and interactions within the occupation and the business/industry.

CO2 - Demonstrate legal and ethical behavior, safety practices, interpersonal and teamwork skills, and appropriate written and verbal communication using industry-specific terminology.

Employer-provided per the specified equipment :

1. Owner manuals for various machines
2.  preventative maintenance reading for each piece of equipment.  

This course provides a work-based learning experience that enables students to apply specialized occupational theory, skills, and concepts. A learning plan is collaboratively developed by the college and the employer

Grading Policy:

At this end of this course you will receive a grade of either ‘P’ (Pass) or ‘F’ (Fail)..

You will receive a grade of ‘P’in this course if you:

•         a. Successfully complete your internship. Successful completion includes (but is not limited to) finishing the full internship and representing ACC requirements in Blackboard.
•          b. Your powerpoint, paper, and internship evaluations submissions include all the requirements listed above, are written clearly and concisely, and contains no or minimal grammatical/ spelling errors.

If your submissions only induces some of the requirements listed above, is not clear and concise, and/ or contains grammatical/ spelling errors, the assignment will be returned to you for correction. Failure to correct these deficiencies within one week will result in a grade of ‘F’

If you do not successfully complete your internship (as defined above), you will receive a failing grade in the course. You will also receive a failing grade for not submitting the above assignments.

If your paper is submitted before the submission deadline, but the submission occurs after the last class day of the semester you are enrolled, you will receive a PR (in Progress) until your submission is received and graded.

• Engineering Technology & Advanced Manufacturing Students who are seeking a degree or certificate should visit with an Area-Of-Study advisor:
  • Vidal Almanza, Advisor Supervisor (SAC Campus, Student Affairs, 512-223-9160; vman@austincc.edu)
  • Sonia Santamaria, Advisor (RVS Campus, Bldg. G, Student Affairs, 512-223-6203; sonia.santamaria@austincc.edu)
  • Gabriel Martinez, Advisor (RVS Campus, Bldg. G, Student Affairs, 512-223-6173; Gabriel.martinez@austincc.edu)
  • C. Alex Rawlins, Advisor (RRC Campus, Student Affairs, 512-223-0042; calexan4@austincc.edu)
  • Laura Garcia, Advisor Supervisor (HLC, Student Affairs, 512-223-9485; laura.garcia@austincc.edu)
  • Lauren Martin, Advisor (HLC, Student Affairs, 512-223-7324; lauren.martin@austincc.edu

Additional Area-Of-Study advisors can be found using this link, Find-My-Advisor

For online advising, please go to the following site:

https://students.austincc.edu/advising/online-advising/

High School students taking classes in dual enrollment or as part of an academy or institute will have different advisors and counselors assigned to them.

• All students are expected to check their ACC gmail regularly throughout the semester. We will be sending pertinent information about scholarships, the course schedule, job & internship opportunities, Microsoft Azure free student software program, career fairs, special events, and etc.  Your instructor will also be communicating with you in this way.

Artificial Intelligence Policy for the Departments of

Engineering Technology and Advanced Manufacturing

1. Introduction: The use of generative AI (GAI) is permitted in this course under certain conditions and with instructor approval for the purposes of enhancing learning while maintaining academic integrity.
2. Rationale: GAI is permitted to foster technological fluency and to leverage advanced tools for research, projects and other relevant assignments, as long as it does not substitute for the students’ original work, critical thinking and learning.
3. Definition of GAI: Generative AI encompasses technologies that create content through learned patterns and data without direct human input.
4. Usage Permissions: Permitted: GAI can be used for initial research, idea generation, and learning coding practices. It is not to be used for final submissions unless explicitly cited and discussed. Students should check with their instructors for approval before using AI in their assignments.
5. Resources: The ACC Library provides guidance on the ethical and effective use of GAI . Additional resources may be provided by your instructor.
6. Assessment: Contributions of GAI must be clearly cited and will be assessed on the student’s ability to critically analyze and integrate the AI-generated content.
7. Penalties: Misuse of GAI, including a failure to cite, will be considered a breach of academic integrity, with consequences including a failing grade for the assignment and academic review.
8. Exceptions: Should the technology be required as an accommodation, exceptions will be made on a case-by-case basis.