Course Syllabus
Contact Information
Course Details
For a list of course activities, scroll to the bottom of this page.
Course Delivery
Synchronous Online: Learning occurs online and in real-time, using technology such as web-conferencing software for synchronous interaction. This is the option that reflects an online course with scheduled Live Sessions. Live Sessions occur once a week for two hours (120 minutes).
Course Prerequisites
MIT 5602: Management Information Systems
Course Materials
- Business Intelligence, Analytics, Data Science, and AI, 5th edition. Published by Pearson (July 3, 2023) © 2024
- Google Looker Studio
Program Learning Outcomes (PLO)
- Analyze data and provide valuable business insights
- Solve problems in relation to IT concerns and applications
- Communicate technical information to non-technical business professionals
- Demonstrate an understanding of the business, organizational and regulatory context of information technology and organizational information systems
- Demonstrate an understanding of how information technology and systems can be leveraged to provide business value
Course Learning Outcomes (CLO) Alignment
| CLO | Description | PLO |
|---|---|---|
| A | Select the appropriate business intelligence tool to help managers make data-driven decisions. | 1, 2, 4, 5 |
| B |
Use descriptive analytics tools for business decision making. |
1, 3, 5 |
| C | Apply data mining, algorithms, and analytics tools to support business insights. | 1, 2, 5 |
| D |
Understand the value of deep learning and cognitive computing in business analytics. |
1, 2, 4, 5 |
| E |
Utilize business intelligence tools to analyze and visualize data effectively. |
1, 3, 4, 5 |
| F |
Integrate ethical and managerial considerations in business intelligence and analytics practices. |
3, 4, 5 |
Grades
Breakdown
| Activity | Description | Percentage |
|---|---|---|
| Weekly Quizzes | Multiple-choice questions from the textbook quizzes | 20% |
| Homework Assignments | Weekly assignments based on case studies, hands-on tasks, or discussion prompts from the textbook | 30% |
| Participation | Engagement in weekly Live Sessions & completion of in-class activities | 10% |
| Final Exam | Multiple-choice, short-answer, and case-based questions | 40% |
| Total | 100% |
Scale
| Percentage | Letter Grade |
|---|---|
| 90–100% | A |
| 80–89% | B |
| 70–79% | C |
| 60–69% | D |
| Below 60% | F |
Course Components
Weekly Quizzes
The concept checks are intended to ensure that students have the foundational knowledge and/or component skills needed to fully participate in the upcoming Live Session, where they will be asked to apply or extend their learning. This auto-graded quiz holds students accountable for the reading and video lectures. It will serve as a formative assessment to check students’ gist understanding and comprehension of key concepts. The feedback boxes (or “hints”) associated with each item will provide students with immediate feedback, correcting any misunderstandings. Each quiz item will be related to a module learning outcome. Questions will come from the textbook question bank and will be a preparation for the Final Exam.
- Objective: To test students' understanding of key concepts, theories, and frameworks covered in weekly chapters.
- Format:
- Multiple-choice questions from the textbook quizzes.
- 20 questions per quiz, each worth 1 point (total: 20 points per quiz).
- These are open book quizzes.
- Rubric:
- Correct Answer: 1 point per question.
- Incorrect Answer: 0 points.
- Assessment Strategy:
- Encourage students to review textbook chapters and lecture notes.
- Administer quizzes at the start or end of class to ensure preparation and retention.
Homework Assignments
- Objective: To reinforce practical understanding of topics through real-world applications and hands-on exercises.
- Structure:
- Weekly assignments based on case studies, hands-on tasks, or discussion prompts from the textbook.
- Example tasks:
- Analyze a dataset and generate visualizations.
- Solve a predictive modeling problem using a provided dataset.
- Write a short report on AI trends in business analytics.
- Rubric (10 points per assignment):
- Understanding and Accuracy (4 points): Solutions reflect comprehension of the concepts and accurate application of methods.
- Completeness (3 points): All parts of the assignment are fully addressed.
- Clarity and Presentation (2 points): Clear explanations, proper formatting, and professional presentation.
- Timeliness (1 point): Submitted on time.
Participation
- Objective: To encourage active learning, collaboration, and critical thinking during class discussions and activities.
- Assessment Strategy:
- Students are graded weekly based on engagement in discussions, contribution to group activities, and responsiveness to questions.
- Rubric (10 points per week):
- Active Engagement (2 points): Participates actively in discussions and group tasks with camera on. Explain how you engaged with the discussion and course activities. If completing the Makeup assignment, review the recording and complete the in-class activities. Then write a 2-3 sentence explanation of any or all of the following:
- The best point made by a student or instructor during the session
- Your unanswered question or clarification of a discussion point
- Connection to a real-world example
- Hands-On Work in Google Looker Studio (3 points): Submit your in-class activity work from data analysis work during the Live Session.
- Active Engagement (2 points): Participates actively in discussions and group tasks with camera on. Explain how you engaged with the discussion and course activities. If completing the Makeup assignment, review the recording and complete the in-class activities. Then write a 2-3 sentence explanation of any or all of the following:
Final Exam
- Objective: To evaluate a comprehensive understanding of all course topics, including theoretical knowledge, practical applications, and critical analysis.
- Format:
- 50 questions:
- 10 multiple-choice questions (1 point each) from textbook quizzes.
- 10 short-answer questions (2 points each).
- 2 case-based questions requiring written responses (10 points each).
- Total: 50 points.
- Exam duration: 2 hours.
- Rubric:
- Multiple-Choice Questions (10 points-10x1):
- Correct answer: 1 point. Incorrect answer: 0 points.
- Short-Answer Questions (20 points-10x2):
- Content Accuracy (1 point): Clear, accurate, and relevant responses.
- Clarity and Depth (1 point): Concise yet detailed explanation.
- Case-Based Questions (20 points-10x2):
- Analysis and Problem-Solving (5 points): Demonstrates critical thinking and logical problem-solving.
- Application (3 points): Practical application of course concepts.
- Clarity and Presentation (2 points): Well-organized and professional response.
Course Policies
Communication
Please address me as Professor Siripurapu or Professor Swetha. If you send me an email, please include "MIT 5732" in the subject line. I typically respond to emails within 24 hours M-F. Emails received over the weekend will receive a response on Mondays. You can also send me a direct message through Microsoft Teams.
Feedback
You can expect feedback and grades on your activities and assignments within one week of the due date.
Late Policy
Late work is not accepted unless pre-approved.
Plagiarism
Plagiarism is the most common form of academic misconduct at OU. There is no college-level assignment that can be satisfactorily completed by copying. OU's basic assumption about writing is that all written assignments show the student's own understanding in the student's own words. That means all writing assignments, in class or out, are assumed to be composed entirely of words generated (not simply found) by the student, except where words written by someone else are specifically marked as such with proper citation. Including other people's words in your paper is helpful when you do it honestly and correctly. When you don't, it's plagiarism.
For more information about plagiarism, watch the OU Libraries Plagiarism Tutorial video and take the short Avoiding Plagiarism Tutorial Canvas course offered by University Libraries.
University Academic Policies and Student Support
Access the University Academic Policies Document.
Course Summary:
| Date | Details | Due |
|---|---|---|