Course Syllabus
Please note that the specifics of this Course Syllabus are subject to change. Instructors will notify students of any changes and students will be responsible for abiding by them. Even if you print this syllabus, please check the online version often.
This course is currently being developed or significantly revised. Please check back later in the semester for a full syllabus and more accurate estimate of the course assignments.
Description
IST 101: Course Title (3 credits per semester/maximum of 9) - Basic blurb, taken from the PSU Bulletin.
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Prerequisites
- Please list prerequisites or None - check against PSU bulletin
- example of format: IST 311, completed with a grade of "C" or better
Objectives
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Instructor
-
TBD
Office hours
- Schedule and location of office hours
TA/IA/LA
- Teaching, Instructional, and Learning Assistants’ contact information
- and office hours schedule
Materials
- [Use APA standards, plus ISBN as shown. For example: Hall, D., & McMullen, S. (2004). Mathematical techniques in multi-sensor data fusion (2nd ed.). Boston: Artech House. ISBN 978-1580533355]
Assignments & Grading
[enter additional grading info]
Grading Category | Percentage of Final Grade |
---|---|
First Category | 00% |
Second Category | 00% |
Third Category | 00% |
TOTAL | 100% |
Course Grading Scale
The following are minimum cutoffs for each grade:
- 93.00% = A
- 90.00% = A-
- 87.00% = B+
- 83.00% = B
- 80.00% = B-
- 77.00% = C+
- 70.00% = C
- 60.00% = D
- less than 60.00% = F
Course Policies and Expectations
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- For additional ideas about customizing your own policies and expectations, please see the Expectations section of “What should be on my syllabus?”
- Logging into Canvas - Students are expected to login regularly to check for course updates, announcements, emails, discussions, etc.
- Emailing through Canvas - Students are expected to use Canvas for all course email communication.
- Attending virtual meetings - Students are expected to use specified virtual meeting tool(s) for collaboration, meetings, presentations, etc., as needed.
Emergency Notifications
Academic Integrity
Penn State and the College of Information Sciences and Technology are committed to maintaining Penn State's policy on Academic Integrity in this and all other courses. We take academic integrity matters seriously and expect you to become a partner to the University/College standards of academic excellence.
For more information, please review these policies and procedures:
While utilizing additional sources outside of this class is encouraged for gaining a better understanding of course concepts, seeking explicit answers for graded assignments from outside sources (e.g. Course Hero, Chegg, tutoring services like tutor.com, etc.) is considered CHEATING and will not be tolerated. Sanctions range from failure of the assignment or course to dismissal from the University. Additionally, sharing course content without permission is a violation of copyright and may result in university sanctions and/or legal ramifications. Contact your instructor with questions related to this topic.
Generative AI Tools
[This is a recommended statement. Please see the IST Teaching site for more information and options to choose from.]
In this course, you may use generative AI tools for some elements of assignments, as permitted by the instructor. Specific permission will be stated on the assignment and will vary from assignment to assignment. Why? Employers want you to a) know and deeply understand the subject matter of the course and b) know how to use generative AI tools for mechanical and brainstorming elements of problems. Therefore, the learning goals for the assignments dictate whether AI tool use will help or hinder your learning.
During in-class activities, I will let you know the expectation. For out-of-class assignments, consult the assignment directions, where you will find specific guidelines. Be sure to follow the guidelines. Inability to present and defend one’s submission may be used as evidence in an Academic Integrity filing.
When using generative AI tools, you must show understanding of prompt engineering, engage in content generation checking, and appropriately reference the tool (e.g., ChatGPT, Midjourney) from which the content (e.g., text, image, ideas) was generated.
- For suggestions on how to properly cite and reference generative AI tools, please see the following webpages:
- For suggestions on how to write prompts that generate the most useful information, watch How to Use ChatGPT For Beginners 2024.
- For a better understanding of how generative AI tools work and why checking is important, watch State of GPT - Microsoft Build 2023.
- For the University’s guidance regarding academic integrity violations for failing to provide attribution to work that is created with the assistance of generative technology, see the Sanctioning Guidelines for Violations of Academic Integrity (look specifically at guidance about “submitting work created by generative technology without attribution”).
University Policies
Review current information regarding various Penn State policies (such as copyright, counseling, psychological services, disability and military accommodations, discrimination, harassment, emergencies, trade names, etc.) on the University Policies page.
Resources
Find extensive information and links to many Penn State and IST resources (including the Penn State libraries, video conferencing tools, technology and software, writing and research help, and much more) on the Resources page.
Technical Requirements
Standard World Campus computer technical specifications are assumed for this course. Please test your computer for requirements. In addition, a webcam and a headset with a microphone are REQUIRED for the course. These may be used for virtual meetings, virtual office hours, interactions with classmates and your instructor, and group presentations - which are all conducted with virtual meeting tools. No special software is required.
Schedule
The following schedule outlines the topics covered in this course, along with the associated time frames, readings, activities, and assignments. All due dates reflect Eastern Time (ET). Specifying the time zone ensures that all students have the same deadlines, regardless of where they live.
Course Summary:
Date | Details | Due |
---|---|---|