Course Syllabus

Contact Information

Picture of Dr. Sun 

Office Hours:  Monday/ Wednesday 7:00-8:00 (on Zoom) or appointment by email

Email: sunh@ou.edu

Live Session: Thursday (and Friday of June 14) 7:00 pm-9:00 pm (US Central Time)

Zoom link:

https://oklahoma.zoom.us/j/99974588526?pwd=aFE5Nlp6aUJjYjJsdE5IeW9xdCtjQT09 
Meeting ID: 999 7458 8526
Passcode: 56022024

 

Heshan Sun, PhD 

Richard Van Horn Professor of IT and Analytics

Professor of MIS 

Price College of Business

Course Details

For a list of course activities, scroll to the bottom of this page.

Course Prerequisites 

You need (1) a computer, (2) wireless Internet connection, and (3) Web-camera and microphone in class. We will use computers regularly in class time. Given the nature of this course, you should have a well-functioning computer with the following software installed to each class.

  1. Power BI. We will use Power BI for the analytics/visualization lab. Details regarding how to download and use Power BI will be available in Canvas.
  2. MS Access. MS Access (on a virtual machine) will be made available for those (for example, Mac users) who don't have it yet, free of charge. 

Course Materials

    1. Guiding the Digital Transformation of Organizations [GDTO] (2nd Edition), by Sambamurthy and Zmud, Legerity Digital Press. (The entire book is now open source. You can download the full book on Canvas. Chapters will be made available in the course modules as well.) 
    2. Other additional materials including extra readings and cases will be made available in Canvas.

Note: I expect everyone to have read all assigned materials prior to class. Questions for the quizzes and final exam will largely reflect the issues addressed in the reading and associated class discussion and exercises. 

Grades

Breakdown

Activity Description Percentage
Group Project

One group project on emerging/disruptive technology.

30%
Quizzes

Three in-class quizzes will be administered. 

15%
Lab Reports Two lab reports will be assigned. 20%
Final Exam A final exam will be administered in the last class. 20%
Participation

Participation is essential for this course.

15%
Total  100%

Scale

Grading will be based on a standard scale: (A=90+, B=80+, C=70+, D=60+, F=60-)

Course Components

Group Project

We have one group project on emerging/disruptive technology. Each group consists of around 6 or 7 people. The group will work together on a project about emerging technology. The deliverables will be a report and a presentation. Details will be available in class. 

Quizzes

Three quizzes will be administered. Each quiz takes up to 25 minutes.

Lab reports

Two lab reports will be required. Details about the lab reports will be available in class. Each report is due in each week.

Participation

Participation is essential for this course. Therefore, a significant factor in determining grades will be the degree to which you participate in class.
The Participation grade is computed as follows:

Attendance – 50%, Active participation in class activities – 40%, Professionalism – 10%.

10% of your participation points will be deducted for each absence, failure to participate in labs and other class activities, and deficiencies in professionalism (such as improper laptop use, talking in class, arriving late or leaving early, etc.). To get a full participation score, you also need to participate in class activities and discussions very actively. 

Bonus Credit

One or two bonus credits may be available for participation in research projects and/or the attendance of professional development events. Opportunities will be suggested throughout the semester.

Weekly Schedule

(Note: The content of this schedule may be adjusted throughout the semester)

 

 

 

 

 

Wk

Date

Topic

Text / Notes

Note

1

May 16

·  Course Introduction

·  Topic 1: What is an information system?

Required reading:

·  Syllabus

·  GTDO: Appendix and Basic Concepts

Optional readings:

·  What is MIS?

In class:

·  Discuss the syllabus

·  Lecture: Basics of information systems?

After class:

·  Introduce yourself on Canvas

·  Participation in Discussion on “Tech of the Week”

·  Form your own group

2

May 23

·  Digital Strategy Fundamentals

·  Case study: GUESS?, INC.

 

Required reading:

·  GTDO: Chapters 1 & 2

In class:

·  Lecture: Digital Strategy

·  Group project released.

After class:

·  Participate in discussions on:

o the case study (GUESS)

o tech of the Week

·  learn the topic and take Quiz 1 (Basics of IS and Digital Strategy)

·  Kick off the group project

3

May 30

·  Network Ecosystem

·  Case study: Uber

Required Reading:

·  GTDO: Chapters 6, 7

·  Hagiu_2014_SMR_Strategic Decisions for Multisided Platforms

In class:

·  Review of Quiz 1

·  Cast study discussion wrap-up: GUESS

·  Lecture: Network ecosystems

After class:

·  Learn the topic and take Quiz 2 (network ecosystem)

·  Participate in discussions on

o Tech of the Week

o the case study (Uber)

·  Continue the group project

4

June 6

·  Business analytics

·  Lab: Power BI

Required Reading:

·  (Book chapter) Turban et al, chapter_introduction

Big Data, Analytics and the Path from Insights to Value

In-class:

·  Review of Quiz 2

·  Lecture: business analytics

·  Lab on Power BI and

 

After class:

·  Complete the lab and turn in a lab report (Power BI)

·  Learn the topic and take Quiz 3 (business analytics)

·  Participate in discussion on: Tech of the Week

5

June 13

·  Data and information

·  Basic System: Database Systems & Concepts (DBMS)

Required Reading:

 

Database Basics:

What is a database, Databases for Beginners  (relational database,primary key, foreign key, query,SQL, SQL Select statement, etc.)

In-class:

·  Lecture: database system

After class:

·  Participate in discussion on: Tech of the Week

·  Continue the group project

 

6

June 14 (Friday)

·  Lab on Relational database using MS Access

Same as the above

In-class:

·  Lab on relational database

After class:

·  Complete the lab and submit the lab report

·  Participate in discussion on: Tech of the Week

·  Complete the group project

 

7

June 20

·  Group presentation: Emerging/Disruptive technology

·  Review for final exam

 

Optional readings:

·  Generative AI: Yes, AI Increases Productivity, Study Suggests

· How Generative AI Can Augment Human Creativity

·  Case: IoT Garage Door Opener Case Study 

·  How blockchain technology could change our lives 

·  Blockchain as Radical Innovation Case Study 

·  Internet of Things Convenience vs privacy 

Videos: 

·  What Digital Transformation Means for Business (video)

·  Leading your company’s Digital Transformation (video)

 

In-class

·  Group project presentation

·  Guideline for final exam

8

June 27

·  Final exam

·  Administrated on Canvas in class

In-class:

·  Final exam

Course Policies

Communication

You can visit my office hours. You can also contact me by email (sunh@ou.edu). I usually reply in 24 business hours M-F. 

Late Policy

 On-time submission of assignments is expected. If you have well-documented special reasons (e.g., illness or special events), contact the instructor before the deadline for an extension. Without special reasons, 10% of an assignment's grade will be deducted for each day of lateness.   


University Academic Policies and Student Support

Access the University Academic Policies Document.

Course Summary:

Course Summary
Date Details Due