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Syllabus ( MIS 511 )


   Basic information
Course title: Management Information Systems
Course code: MIS 511
Lecturer: Assoc. Prof. Dr. Büşra ÖZDENİZCİ KÖSE
ECTS credits: 7.5
GTU credits: 3 (3+0+0)
Year, Semester: 1/2, Fall and Spring
Level of course: Second Cycle (Master's)
Type of course: Area Elective
Language of instruction: Turkish
Mode of delivery: Face to face
Pre- and co-requisites: None
Professional practice: No
Purpose of the course: This course aims to provide students with a comprehensive understanding of Management Information Systems (MIS) at the graduate level, and to offer in-depth knowledge on the strategic importance of MIS in business operations and decision-making processes, as well as on the management of information technology resources from a senior management perspective.
   Learning outcomes Up

Upon successful completion of this course, students will be able to:

  1. Analyze and develop IT and business strategies using contemporary methodologies.

    Contribution to Program Outcomes

    1. Define and implement advanced Management Information Systems and Information Technologies concepts
    2. Develop and implement strategies for managing the digital transformation of businesses
    3. Follow new technology trends, assess and use technological innovations suitable for the business
    4. Acquire scientific knowledge and work independently
    5. Develop an awareness of continuous learning in relation with modern technology
    6. Develop awareness for new professional applications and ability to interpret them

    Method of assessment

    1. Written exam
    2. Term paper
  2. Apply critical thinking and problem-solving skills to implement IT solutions for business challenges.

    Contribution to Program Outcomes

    1. Define and implement advanced Management Information Systems and Information Technologies concepts
    2. Examine complex business and technology problems in the light of information systems theories and develop technology-focused solutions
    3. Increase efficiency and optimize decision-making processes in business operations by using artificial intelligence techniques
    4. Develop an awareness of continuous learning in relation with modern technology
    5. Find out new methods to improve his/her knowledge
    6. Develop awareness for new professional applications and ability to interpret them

    Method of assessment

    1. Written exam
    2. Term paper
  3. Evaluate the impact of emerging technologies on business operations and decision-making processes.

    Contribution to Program Outcomes

    1. Effectively use the latest technology in data processing and database management
    2. Increase efficiency and optimize decision-making processes in business operations by using artificial intelligence techniques
    3. Follow new technology trends, assess and use technological innovations suitable for the business
    4. Develop an awareness of continuous learning in relation with modern technology
    5. Find out new methods to improve his/her knowledge

    Method of assessment

    1. Written exam
    2. Term paper
  4. Communicate complex IT concepts and solutions clearly to various audiences, both in writing and speaking.

    Contribution to Program Outcomes

    1. Define and implement advanced Management Information Systems and Information Technologies concepts
    2. Critically review current scientific research and present the findings in relation to previous studies
    3. Work effectively in multi-disciplinary research teams
    4. Acquire scientific knowledge and work independently
    5. Effectively express his/her research ideas and findings both orally and in writing

    Method of assessment

    1. Written exam
    2. Term paper
   Contents Up
Week 1: Introduction to Management Information Systems
(Overview of MIS and importance in business)
Week 2: Information Systems in Organizations
(Types of information systems, organizational functions of MIS, and strategic advantage, case analysis on information systems supporting business processes)
Week 3: Strategic Information Systems Planning
(Alignment of IT and business strategy, planning methodologies and frameworks such as Zachman Framework, Balanced Scorecard, and The Strategic Alignment Model)
Week 4: Strategic Information Systems Planning
(Enterprise Architecture and TOGAF framework)
Week 5: Information Systems Development, Introduction to Project Studies
(Systems development life cycle, project management, and agile methodologies, Scrum, Scrumban, DevOps, SecDevOps)
Week 6: IT Governance and Management
(IT governance frameworks and performance metrics; COBIT (Control Objectives for Information and Related Technologies))
Week 7: IT Governance and Management, Midterm Exam
(IT service management frameworks; ITIL (Information Technology Infrastructure Library))
Week 8: Digital Business and E-commerce
(Digital business models, e-commerce strategies, and digital marketing, case analysis)
Week 9: Information Security Management
(Principles of information security, risk management, and cybersecurity strategies)
Week 10: Data Management and Big Data Analytics
(Data management strategies, big data concepts and characteristics, big data technologies and analytics)
Week 11: Advanced Business Intelligence and Analytics, Artificial Intelligence in Business
(Overview of BI and analytics, applications, tools, technologies, AI and Machine Learning applications)
Week 12: Ethics and Social Issues in MIS
(Ethical considerations, social implications of information systems, and privacy)
Week 13: Project Presentations
Week 14: Project Presentations
Week 15*:
Week 16*: Final Exam
Textbooks and materials: Laudon, Kenneth C., Laudon, Jane P. (2021). Management Information Systems: Managing the Digital Firm. England: Pearson Prentice Hall.
Recommended readings: Reynolds, G. W., & Stair, R. M. (2020). Principles of Information Systems. Cengage Learning.
  * Between 15th and 16th weeks is there a free week for students to prepare for final exam.
Assessment Up
Method of assessment Week number Weight (%)
Mid-terms: 7 30
Other in-term studies: 0
Project: 5-14 30
Homework: 0
Quiz: 0
Final exam: 16 40
  Total weight:
(%)
   Workload Up
Activity Duration (Hours per week) Total number of weeks Total hours in term
Courses (Face-to-face teaching): 3 14
Own studies outside class: 4 14
Practice, Recitation: 0 0
Homework: 0 0
Term project: 4 10
Term project presentation: 2 1
Quiz: 0 0
Own study for mid-term exam: 5 4
Mid-term: 2 1
Personal studies for final exam: 6 4
Final exam: 2 1
    Total workload:
    Total ECTS credits:
*
  * ECTS credit is calculated by dividing total workload by 25.
(1 ECTS = 25 work hours)
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