Principles of Predictive Analytics

Student Learning Outcomes, Goals, Objectives:

Students successfully completing this course will be able to:

• Explain the foundational principles of predictive analytics.
• Identify and evaluate commonly used predictive analytics methodologies.
• Design effective approaches for data collection, preprocessing, and exploration.
• Apply predictive modeling techniques to business problems.
• Evaluate and interpret predictive model results.
• Assess the organizational implications of using predictive analytics.
• Use widely adopted analytics software proficiently.
• Develop practical, data-driven solutions for real-world business decision-making.

Course Grading Information:

Activity/Performance Measure	Percentage/Points
Quizzes	30%
Discussions	10%
Labs	20%
Individual Project	40%

Grading Scale:

Percentage	Letter Grade
100 – 94	A
94 – 90	A-
90 – 86	B+
86 – 83	B
83 – 80	B-
80 – 75	C+
75 – 70	C
Below 70	F

Attendance/Participation:

ISM 645-01, ISM 645-02 and ISM 701-01 will be delivered in a synchronous “HyFlex” format in Room 216 of the Bryan Building. Students must enroll in the correct section. Those registered for ISM 645-01 are expected to attend class in person at the scheduled times and dates in Room 216. Students enrolled in ISM 645-02 and ISM 701-01 are expected to attend class virtually, also at the scheduled times and dates.

Attendance for all HyFlex classes is mandatory, regardless of whether students attend in person or virtually. This means students must be present during the scheduled class sessions, either physically or online, according to their registered section. In rare and exceptional circumstances—such as illness, emergencies, or other documented difficulties - faculty may grant special permission for a student to miss a specific class session or, in the case of ISM 645-01 students, to attend virtually instead of in person. These exceptions are not granted upon request or convenience and are subject to the instructor’s discretion. Documentation may be required. If such permission is granted, a recording of the missed session may be provided as a one-time exception rather than a standard practice, and any make-up arrangements must align with the policies outlined in the syllabus.

All individual assignments — including assignments, quizzes, labs, and project — must be completed independently. Collaboration is not permitted on individual work. While students may seek general advice or clarification from peers or faculty, you must not seek or accept specific answers from anyone else. Any violation of this policy will result in a grade of 0 on the assignment. A second violation will lead to a final grade of F for the course. If you are ever uncertain about what is permitted, consult the instructor before discussing the assignment with others.

There will be NO makeup or rescheduled assignments, quizzes, or exams for missed deadlines. The only exception applies to documented emergencies, such as medical issues or the death of an immediate family member. In such cases, students are required to submit official documentation and contact the instructor in advance of the deadline.

All assignments are due by 11:59 PM on the scheduled due date. It is your responsibility to be aware of all due dates and manage your time accordingly. Late submissions will not be accepted, and makeup opportunities will not be offered. If you anticipate any issue that might prevent you from meeting a deadline, you must notify the instructor as early as possible.

Students who expect to miss one or more class meetings due to participation in university-sponsored activities should:

• Notify the instructor(s) at least five class days in advance;
• Arrange to complete all missed work in advance of the absence whenever practicable as judged by the instructor(s). When the missed work cannot be completed in advance, the instructor(s) should provide students with the opportunity to make up the work. Students should be aware, however, that not all kinds of work can be made up. The instructor(s) have the discretion to deny makeup work if (i) alternative assignments place an unreasonable demand on the instructor, (ii) the original assignment is such that not completing it at the originally assigned time impedes student learning;
• Present relevant documentation of participation in a relevant University-sponsored activity to the instructor(s) upon request. Students who expect to miss more than three class periods of any single course of any kind in a term or more than two consecutive meetings of a laboratory course in order to participate in university-sponsored activities should inform the instructor at the beginning of the course. In the case that the faculty member cannot make reasonable accommodations for makeup work, the student may appropriately be advised to drop the course.

Course Materials Purchased by the Students:

No course materials are required.