COURSE INTRODUCTION AND APPLICATION INFORMATION

Course Name
Management Information Systems
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
BA 311
Spring
3
0
3
6
Prerequisites
None
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery face to face
Teaching Methods and Techniques of the Course Group Work
Q&A
Lecturing / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives This course aims at developing an understanding of Management Information Systems (MIS), which are essential for creating competitive firms, managing global corporations, adding business value and creating useful products and services for the customers; emphasizing the importance of MIS for business functions, such as Operations, Marketing, Finance, Accounting, and Human Resources: and demonstrating the use of some computer programs and application software.
Learning Outcomes The students who succeeded in this course;
  • Recognize contemporary MIS theory and how information systems support business strategy, business processes, and practical applications in an organization.
  • Interrelate how various support systems can be used for business decisions and to sustain competitive advantage.
  • Describe how the Internet and World Wide Web provide a global platform for e-business, business mobility and communications, collaboration, and cloud computing.
  • Express the proven value of, and relationship between business data, data management, and business intelligence.
  • Analyze systems development and project management methodologies.
  • Combine analytical thinking, creativity and business-problem-solving as applied to ongoing MIS challenges, future trends, and relevant case studies.
Course Description The main emphasis of the course is given on the topics: Information concept, transition process into the information society, and its contributions on businesses, applications of computer-aided information systems in businesses, selection, improvement, and installment of Management Information. Moreover, the uses of the software applications such as MS Excel and MS Access are demonstrated.
Related Sustainable Development Goals

 



Course Category

 Core Courses
X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 • What is Digital Transformation and Why Digital Transformation • Background and Related History of Events in Computing; • From Digitization to Digitalization to Digital Transformation • COVID-19 Effect 1- Is Your Business Ready for a Digital Future? 2- Why the Lean Startup Changes Everything? Short Self Introduction videos
2 • Decision Making Essentials • Data, Information, Knowledge, • Decision Support Systems Web Search Personal Experience CASE: Valley Fudge Factory
3 • Migration from Second Platform to Third Platform Technologies • ERP vs Postmodern ERP 1- Thriving in an Increasingly Digital Ecosystem VALLEY FUDGE CASE
4 • Creating Digital Transformation Strategy • Assessment of current level • Developing Strategy step by step • Pitfalls Leading Change, Why Transformation Efforts Fail? VALLEY FUDGE CASE
5 • Social Media and Mobile Technologies • Cloud and Cloud Technologies -SaaS, -PaaS, -IaaS, -DaaS 1- Is Your Business Ready for a Digital Future? 2- The Tate’s Digital Transformation. 3- SAP and Cloud Computing in 2012 and Beyond 4- Harvard Business Review (Nov. 2011) “What every CEO needs to know about Cloud Computing” Andrew McAfee.
6 • SaaS Presentations Search for SaaS in Different Functional Areas
7 • Big Data : What Does It Mean for Businesses and How to Deal with It • Data Visualization Reading: Netflix Leveraging Big Data to Predict Entertainment Hits Reading: Getting Value from Your Data Scientist Participants must install Tableau software and get familiar with it
8 • Tableau Hands on in Class Exercise Tableau Software must be ready on your computers
9 • Analytics - Descriptive, - Predictive, - Prescriptive Reading: How Netflix Uses Analytics Kelly, B. Kissmetrics 2017
10 • Analytics Simulation : Data-driven Decision Making at Blue Blue Detergent Analytics Simulation Please read the case and prepare for the simulation Create your HBP account
11 • Machine Learning Essentials • ML Application Areas Tableau in class exercise. Make sure that you get familiar with fundamentals of Tableau before the class Tableau videos and tutorials available online Please download the files from BB page into your computer
12 • IT and IS Risks • Security in Digital Transformation • SIMULATION Cybersecurity Simulation case must be read Participants must read the instructions and tutorial
13 • Cybersecurity To be assigned
14 • Tech Plan Presentations Each team will present in 10 min.
15 • Disruptive Technologies and Future of Digital Transformation • Review, Discussions and Closing Remarks
16 Final Exam
Course Notes/Textbooks

There is no required textbook and all material will be made available on BB platform
Suggested Readings/Materials

1. Course Pack –Includes cases and articles required for the course

• Thriving in an Increasingly Digital Ecosystem, by Weill, Peter, Woerner; MIT Sloan Management Review. Summer 2015. Volume 56, Issue 4.

• Is Your Business Ready for a Digital Future?,by Kane, Gerald C; Palmer, Doug; Phillips, Anh Nguyen; MIT Sloan Management Review. 06/2015, Volume 56, Issue 4

• Why the Lean Startup Changes Everything, Blank, Steve. Harvard Business Review, May 2013.

• The Tate’s Digital Transformation. Avery, J., Harvard Business School 9-314-122, April 2014

• Philips Healthcare: Marketing the HealthSuite Digital Platform”. Quelch, J. A. and Rodriguez, M.L., Harvard Business School. 9-515-052, Sept. 8, 2015.

• Digital Ubiquity: How Connections, Sensors, And Data Are Revolutionizing Business. Iansiti, M. and Lakhani, K.; Harvard Business Publishing #R1411D, November 2014.

• Getting Value from Your Data Scientists. Harris, J.G., & Mehrotra, V. MIT Sloan Management Review, 56(1), 15-18, Fall 2014. • Case: Reinventing E-commerce: Amazon's Bet on Unmanned Vehicle Delivery

• Valley Fudge Factory (Babson College Case Publishing, DeLoureiro,).

• SAP and Cloud Computing in 2012 and Beyond (Stanford Graduate school of Business) Reference number SM-214, Rolland and Burgelman, 2013. • Harvard Business Review (Nov. 2011) “What every CEO needs to know about Cloud Computing” Andrew McAfee.

• Online Marketing at Big skinny (HBS) Feb. 8, 2012, 9-911-033 Edelman and Kominers.

• Leading Change, Why Transformation Efforts Fail? (HBS) 2007. • Starbucks: Brewing Customer Experience Through Social Media; Reference No. 513- 001-1, Perepu, I., LBS Center for Management Research (2013).

• Netflix Leveraging Big Data to Predict Entertainment Hits, Reference no. 913-006-1, Purkayastha; Tangirala, V., IBS Center for Management Research (2013).

• Steve Blank – Tools and Blogs for Entrepreneurs: (steveblank.com/tools-and-blogsfor-entrepreneurs)

• How Netflix Uses Analytics Kelly, B. Kissmetrics 2017

Software and Simulations :

• We will be using Tableau Software. I will provide information in our first session. You can download it free and start playing with it.

• Business Analytics: Blue Detergent

• Cybersecurity simulation

• Machine Learning Exercise

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
10
Presentation / Jury
2
20
Project
1
15
Seminar / Workshop
Oral Exam
Midterm
1
20
Final Exam
1
25
Total

Weighting of Semester Activities on the Final Grade
6
75
Weighting of End-of-Semester Activities on the Final Grade
1
25
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
14
2
28
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
10
Presentation / Jury
2
5
Project
1
25
Seminar / Workshop
Oral Exam
Midterms
1
22
Final Exams
1
25
    Total
168

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
 Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able to solve problems with an analytical and holistic viewpoint in the field of business administration.

 X
2

To be able to present the findings and solutions to the business problems in written and oral formats.
3

To be able to interpret the application of business and economic concepts, and philosophies at the national and international levels.
4

To be able to use innovative and creative approach for real-life business situations.

 X
5

To be able to demonstrate leadership skills in different business situations.
6

To be able to interpret the reflections of new technologies and softwares to business dynamics.   

 X
7

To be able to integrate knowledge gained in the five areas of business administration (marketing, production, management, accounting, and finance) through a strategic perspective.

 X
8

To be able to act in accordance with the scientific and ethical values in studies related to business administration.
9

To be able to work efficiently and effectively as a team member.
10

To be able to have an ethical perspective and social responsiveness when making and evaluating business decisions.
11

To be able to collect data in the area of business administration and communicate with colleagues in a foreign language ("European Language Portfolio Global Scale", Level B1).
12

To be able to speak a second foreign at a medium level of fluency efficiently.
13

To be able to relate the knowledge accumulated throughout the human history to their field of expertise.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest