Instructor:
Jeremy Shafer (jeremy@temple.edu)
Physical Office: 209D Speakman Hall
Phone: (215) 204-6432
Profile: http://community.mis.temple.edu/jshafer
Office Hours:
- 9:30 am – 10:30 am – Monday, Tuesday, Wednesday, Thursday, Friday in Speakman 209D
- Other times by appointment
- Please use Canvas when messaging the instructor
Class Locations and Time:
Section 1: 11am – 11:50am, Monday, Wednesday, Friday – In Person, A603
Prerequisites:
Grade of C or better in MIS2101 or MIS 2901.
Course Description:
This course is designed to provide business students with a foundational understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts and their applications in a business context. Students will explore the potential of AI/ML technologies to transform industries, drive innovation, and enhance decision-making processes. Through a combination of theoretical learning, practical applications, and case studies, students will develop the skills necessary to leverage AI/ML tools to solve real-world business problems. Specific technologies used in this course include (but are not limited to) Python, Microsoft Excel and ChatGPT.
Course Objectives:
- Define and explain fundamental AI and ML concepts.
- Understand the role of AI/ML in various business domains.
- Identify opportunities for AI/ML integration in business processes.
- Evaluate ethical and social implications of AI/ML in business.
- Apply AI/ML algorithms to real-world business scenarios.
- Communicate AI/ML concepts and solutions to non-technical stakeholders. Which AI/ML paradigm is being applied, and why?
Required Textbook:
None. Selected readings and/or viewing will be assigned. Students will be required to purchase access to ChatGPT 4.0 for one month. This will cost $20.00.
Evaluation and Grading:
Items
|
Item |
Percentage |
|
Mid-term |
20% |
|
Final |
20% |
|
Quizzes (5) |
20% |
|
Assignments (5) |
20% |
|
In-class activities and Group Discussions |
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 not comprehensive. 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 online (using Canvas), during class. Students are allowed to use hand-written notes on a single 8.5 x 11 sheet of paper (front and back). 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 5 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 |
Breaking the ChatBot |
|
2 |
AI features in Excel (part 1) |
|
3 |
AI features in Excel (part 2) |
|
4 |
“Secret Cyborg” (part 1) |
|
5 |
“Secret Cyborg” (part 2) |
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 (60) or failure (0).
Missed or late submissions will 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 does account for a portion of your grade in this class. Participation grades are assigned at the discretion of the instructor.
Cold-calling:
The instructor will use the class roster to “cold call” students. 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.
Plagiarism and Academic Dishonesty:
Please see the following:
http://bulletin.temple.edu/undergraduate/about-temple-university/student-responsibilities/
It is important to do your own work, and to not present the work of others as if it were your own. Cheating and plagiarism will not be tolerated in this class.
In this course, you will develop critical thinking and coding skills by working on assignments and activities’. Doing this work independently is an important part of the learning process. Consequently, unless otherwise directed by your instructor, students may not use ChatGPT, AI, or any other tool that generates code to complete any part of your assignments.
Sharing your work with another student via One-Drive or any other file sharing technology is prohibited. Unless otherwise directed by your instructor, students are not to share their work with other students.
Likewise, 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 for the purpose of sharing your work, will also be treated as a case of academic dishonesty. All students involved in such events or activities will be penalized.
Penalties for such actions range from a failing grade in the entire course to expulsion from the program. Instances of cheating and plagiarism are very likely to be reported to the University Disciplinary Committee.
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.
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 be recorded. Class recordings will be made available to the Temple community at the instructors first opportunity. Any student who is not comfortable with this and/or has any related privacy concerns should contact the instructor.
Any recordings permitted in this class can only be used for the student’s personal educational use. Students are not permitted to copy, publish, or redistribute audio or video recordings of any portion of the class session to individuals who are not students in the course or academic program without the express permission of the faculty member and of any students who are recorded. Distribution without permission may be a violation of educational privacy law, known as FERPA as well as certain copyright laws. Any recordings made by the instructor or university of this course are the property of Temple University.
Getting Help:
Students who wish to contact the instructor should use the Canvas messaging feature to communicate with the instructor. Students who do this can expect to receive a response from the instructor by the end of the next business day.