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FUNDAMENTALS OF MANAGEMENT INFORMATION SYSTEMS

Course
MISY363 - FUNDAMENTALS OF MANAGEMENT INFORMATION SYSTEMS
Department
Management Information Systems - English - Undergraduate
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
6
T+P+L
3 + 0 + 0
Course Coordinator(s)
Assoc. Prof. Dr. Damla KARAGÖZLÜ
Prerequisite
-
Keywords

Course Description

This course is for students who want an in-depth look at how today’s business firms use information technologies and systems to achieve corporate objectives. Information systems are one of the major tools available for business managers to achieve operational excellence, developing new products and services, improving decision making, and achieving competitive advantage. Students will be able to find here the most up-to-date and comprehensive overview of information systems used by business firms today. When interviewing potential employees, business firms often look for new hires who know how to use information systems and technologies to achieve bottom-line business results. Regardless of whether you are in finance, management, marketing or information systems major, the information and knowledge included in this course will be valuable throughout the entire career.

FUNDAMENTALS OF MANAGEMENT INFORMATION SYSTEMS

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

  1. 01 Recognize with the role of information systems in modern organizations
  2. 02 Understand and distinguish various types of business information systems existing in organizations
  3. 03 Identify the factors effecting the relationship between information systems and organizational culture, structure, politics, business processes, and environment.
  4. 04 Understand and discuss intelligently the ethical and security issues relating to the use of information systems.
  5. 05 Define the IT infrastructure and emerging technologies

Course Syllabus

Week Topic
Week 1 Introduction
Week 2 Information Systems in Global Business Today
Week 3 Information Systems in Global Business Today
Week 4 Global E-Business: How Businesses Use Information Systems
Week 5 Global E-Business: How Businesses Use Information Systems
Week 6 Information Systems, Organizations and Strategy
Week 7 Revision
Week 8 Midterm Week
Week 9 Midterm Week
Week 10 Information Systems, Organizations and Strategy
Week 11 Ethical and Social Issues in Information Systems
Week 12 Ethical and Social Issues in Information Systems
Week 13 Ethical and Social Issues in Information Systems
Week 14 Project Presentations
Week 15 Project Presentations

Reference Books & Course Materials

  1. 01 Kenneth C. Laudon, Jane P. Laudon, "Management Information Systems, Managing The Digital World", 17th Edition, Pearson

Learning Outcomes

  1. L01 Describe information systems characteristics. SOLO 2
  2. L02 Explain the dimensions of information systems. SOLO 3
  3. L03 Analyze different theories, principles, and concepts relevant to managing digital firms. SOLO 4
  4. L04 Discuss important characteristics of various information systems. SOLO 5
  5. L05 Demonstrate the ability to understand the conditions for using enterprise systems. SOLO 3
  6. L06 Evaluate different aspects of management that are relevant to the information systems function of an organization. SOLO 5
  7. L07 Use the learned context to assess the role of IT/IS in organizations. SOLO 5
  8. L08 Evaluate the use of new technologies in management. SOLO 5

Program Outcomes

  1. P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
  2. P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
  3. P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
  4. P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
  5. P05 Utilize modern computing techniques to handle real-world problems characterized by massive amounts of data, such as parallel and distributed computing and machine learning.
  6. P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
  7. P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
  8. P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
  9. P09 Be able to effectively integrate data‐based solutions into the user environment and help non-technical professionals in exploring, visualizing, and using these solutions
  10. P10 Understand their obligations under professional and ethical standards in relation to matters like data ownership and citation, data security and sensitivity and the privacy implications of data analysis.

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 Average
L01 - - - - - - - - - - -
L02 - - - - - - - - - - -
L03 - - - - - - - - - - -
L04 - - - - - - - - - - -
L05 - - - - - - - - - - -
L06 - - - - - - - - - - -
L07 - - - - - - - - - - -
L08 - - - - - - - - - - -