Syllabus

Information Systems Innovation with AI

MIS3536 – Section 1

Spring 2025

Instructor:

Jeremy Shafer (jeremy@temple.edu)

Physical Office: 209D Speakman Hall

Phone: (215) 204-6432

Profile: http://community.mis.temple.edu/jshafer

Office Hours:

2:30 pm – 3:30 pm every Monday & Wednesday
Other times by appointment
Office hours are in effect 1/13/2025 through 4/28/2025
Email: jeremy.shafer@temple.edu (Please be specific in your email communication with me, kindly include your name, course, and section for a faster reply)

Class Locations and Time:

Section 1: 10:00am – 11:20am, Monday, Wednesday – In Person A603

Prerequisites:

None

Course Description:

This course provides the knowledge and skills to leverage emerging and innovative information technology to create business opportunities for both new entrepreneurial ventures and traditional firms. As we move into the AI/digital world, the ways by which companies create value is fundamentally shifting from products to experiences. The rapid convergence to digital technology provides new opportunities to offer novel products and services that did not exist before. In this course, students will be asked to think how entrepreneurs and companies produce radically new and innovative products and services in the increasingly digital world.

The course focuses on how organizations can design novel and desirable products and services with a focus on leading edge technologies. Through applied projects, student teams will learn how to evaluate and apply new innovative technologies to create new digital experiences, products, and services.

Course Objectives:

1. Define and explain fundamental AI and ML concepts.

2. Understand the role of AI/ML in various business domains.

3. Identify opportunities for AI/ML integration in business processes.

4. Evaluate ethical and social implications of AI/ML in business.

5. Apply AI/ML algorithms to real-world business scenarios.

6. Communicate AI/ML concepts and solutions to a general audience. What are the Strengths, Weaknesses, Opportunities, and Risks of a solution?

Required Textbook:

None. Selected readings and/or viewing will be assigned.

Students may be required to purchase access to “ChatGPT Plus” for one month. This will cost $20.00.

Evaluation and Grading:

Items

Item	Percentage
Mid-term	20%
Final	20%
Quizzes (5)	15%
Assignments (10)	15%
In-class activities	5%
Discussions	5%
Class Project	20%

Scale

94 – 100	A	73 – 76.99	C
90 – 93.99	A-	70 – 72.99	C-
87 – 89.99	B+	67 – 69.99	D+
83 – 86.99	B	63 – 66.99	D
80 – 82.99	B-	60 – 62.99	D-
77 – 79.99	C+	Below 60	F

Exams:

There will be two exams: a midterm exam and final exam.

The final exam is comprehensive and taken during finals week.

There will be no impromptu (‘pop’) quizzes or exams.

Quizzes:

There will be 5 in-class quizzes. Quizzes are time-restricted, closed book assessments given during class.

Quizzes are used to reinforce and evaluate student comprehension of the prior week’s material.

Any collusion among students to save or share quiz and exam materials will result in disciplinary action.

Students are to complete each quiz in 20 minutes or less.

Assignments:

There will be 10 assignments. All assignments should be submitted via Canvas before the due date. They are to be done individually and should represent your own work.

#	Assignment
1	Excel Literacy
2	Break the Chatbot
3	Python / Anaconda Literacy
4	ChatGPT / Prompting Literacy
5	AI features in Excel (part 1)
6	AI features in Excel (part 2)
7	Detecting Bias
8	Leveraging AI to support Cybersecurity (AICyber)
9	Secure the AI (SecureAI)
10	AI-Assisted Coding Challenge

Late Assignment Policy:

All assignments and activities are graded on a 100-point scale. If an assignment is turned in on or before its due date, it is on time. Assignments turned in later are automatically assigned a 20 point penalty, no matter what the reason. Assignments may not be turned in more than three days late . These assignments get a grade of zero.

For the assignment to be considered “on time,” you must attach all necessary files specified in the assignment instructions by the due date. If additional/revised/corrected documents are received after the due date, then the 20-point penalty will be applied to the assignment.

In-Class Activities:

In-class activities (ICAs) are very hands-on in nature, where students will be expected to work with various examples and data sets based on instructions and class discussions.

After we complete the in-class activities, you are required to submit your solutions through Canvas by the end of the day unless otherwise notified.

ICAs have the same late policy as assignments.

Deliverables from in-class activities will be graded as success (100), some problems (80), unacceptable (50) or failure (0) .

Missing submissions will also receive a zero (fail) grade. Equipment failure is not an acceptable reason for turning in a deliverable late.

Participation:

Constructive conversation in the classroom is important. When called on, respond to the instructor’s questions thoughtfully.

It is important to come to class prepared. Students who do not come to class with assigned setup work completed will not be accommodated in class.

Participation accounts for a significant portion of your grade in this class. Your constructive participation benefits the whole class. Students should be aware that the instructor may solicit participation assessment scores from their peers in the class. While these peer assessment scores are helpful, participation grades are ultimately assigned at the discretion of the instructor.

Cold calling:

The instructor will use the class roster to “cold call” students and/or assign students to ad-hoc discussion groups. This ensures that every student has a chance to participate. This practice is intended to promote student participation. Students are expected to provide thoughtful answers and contribute to group discussions.

Project:

The instructor will assign an end-of-semester project. Students will work in groups to describe a current industry, recommend the application of AI to that industry, and discuss the strengths, opportunities, weaknesses and threats introduced by their innovation. Students will be required to present their work to the class in the last full week of the semester. Additional details regarding the project will be announced later in the semester.

In most cases all students on the project team will receive the same grade. However, in cases where students do not sufficiently contribute to the success of their project team, the instructor reserves the right to decrease an individual student’s project grade appropriately. Further details regarding this exceptional circumstance will be provided in the project assignment.

Disability Disclosure Statement:

Any student who has a need for accommodation based on the impact of a documented disability, including special accommodations for access to technology resources and electronic instructional materials required for the course, should contact the instructor privately to discuss the specific situation by the end of the second week of classes or as soon as practical. Students should contact Disability Resources and Services (DRS) at 215-204-1280 in 100 Ritter Annex to learn more about the available resources. The instructor will work with DRS to coordinate reasonable accommodations for all students with documented disabilities.

Academic Integrity:

The MIS Department has a zero-tolerance policy for any type of academic dishonesty in the classroom.

Academic dishonesty refers to any form of cheating, plagiarism, or other unethical practices in academic settings. This includes, but is not limited to, the following:

A. Plagiarism includes, but is not limited to, the use, by paraphrase or direct quotation, of the published or unpublished work of another person without full and clear acknowledgment. It also includes the unacknowledged use of materials prepared by another person or agency engaged in the selling or distribution of term papers or other academic materials.

B. Cheating includes, but is not limited to: (1) use of any unauthorized assistance in taking quizzes, tests, or examinations; (2) use of sources beyond those authorized by the instructor in writing papers, preparing reports, solving problems, or carrying out other assignments; (3) the acquisition, without permission, of tests or other academic material belonging to a member of the university faculty or staff; (4) engaging in any behavior specifically prohibited by a faculty member in the course syllabus, assignment, or class discussion; (5) or otherwise engaging in behavior that gives the Student an unfair academic advantage including, but not limited to, fabrication of data or sources, resubmitting work already submitted for another academic requirement without prior authorization, or other similar behavior.

C. Facilitating, procuring, or encouraging another person to engage in plagiarism or cheating.

To be clear, the following are unacceptable:

Copying material directly from the Internet (or another source) without a proper citation crediting the author.
Posting material to the Internet so that it can be used by other students who are violating this academic integrity policy (i.e. posting exam material or assignment material to Course Hero).
Turning in an assignment from a previous semester as if it were your own and created during the current semester.
Having someone else complete your assignment and submitting it as if it were your own.
Fraudulently updating the attendance record.
Use of assignments completed in one class as any part of a project assigned in another class.
Sharing/copying any graded assignment.
Use of any unauthorized information during an examination.
Any attempt to deliberately interfere with the technology used in this class (e.g. the class servers), or to electronically impersonate a student other than yourself, or to knowingly share your credentials with another student.

In cases of cheating where multiple parties are involved, all parties will be held equally responsible. Under this zero-tolerance policy, any student found violating the academic integrity policy will immediately receive a final grade of “F” for the course and a formal complaint will immediately be filed with Office of Student Conduct and Community Standards. This incident will be listed on your permanent academic record. As part of my formal complaint, I will petition to have you expelled from the university. I will not discuss the penalty for violating this policy; I will simply direct you to this paragraph in the class syllabus.

As outlined in the university’s Withdrawal from Classes policy (policy no. 02.10.14), once a student has been informed that academic misconduct is suspected, the student may not drop or withdraw from the course during the investigation and adjudication process except where the drop or withdrawal is approved for exceptional circumstances. Details about the Department of Student Conduct, and related policies and procedures, can be found here: https://studentconduct.temple.edu/

Student and Faculty Academic Rights and Responsibilities:

The University has adopted a policy on Student and Faculty Academic Rights and Responsibilities (Policy # 03.70.02) which can be accessed through the following link: http://policies.temple.edu/getdoc.asp?policy_no=03.70.02

Class recordings:

Class meetings will not be recorded.

Getting Help:

Students who need assistance can email the instructor, visit the instructor during office hours, or contact the ITA. Please be specific in your email communication with the instructor, kindly include your name, course, and section for a faster reply.