MBA 533 Business Intelligence (BI) and Artificial Intelligence (AI) in Managerial Decision MakingMEF UniversityDegree Programs Business Administration (YL) (Non-Thesis)General Information For StudentsDiploma SupplementErasmus Policy Statement
Business Administration (YL) (Non-Thesis)
Master Length of the Programme: 1.5 Number of Credits: 90 TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF: Level 7

ECTS Course Information Package

School/Faculty/Institute Graduate School
Course Code MBA 533
Course Title in English Business Intelligence (BI) and Artificial Intelligence (AI) in Managerial Decision Making
Course Title in Turkish İş Zekası ve Yapay Zeka ile Yönetimsel Karar Alma
Language of Instruction TR
Type of Course Select
Level of Course Select
Semester
Contact Hours per Week
Lecture: Recitation: Lab: Other:
Estimated Student Workload hours per semester
Number of Credits 5 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Co-requisites None
Expected Prior Knowledge None
Registration Restrictions None
Overall Educational Objective
Course Description

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
Program Learning Outcomes/Course Learning Outcomes
1) Ability to analyse a various range of organizational information, including accounting and finance, operations management, marketing and technology
2) Integration of the organizational functional knowledge in the process of formulation and implementation of long-term strategic goals and objectives
3) Competence in leadership and team membership skills for managing innovation as well as routine processes and activities in organizations
4) Self-exploration through the development and implementation of real business opportunities
5) Awareness of the uncertainty and complexity of global business environments and changing business practices and trends
6) Ability to find ethical, creative, comprehensive solutions to complex organizational problems
7) Integration of management techniques, new business models and analytical tools to decision-making processes
8) Competence in vital managerial and leadership skills, such as critical thinking, business communication, decision making and conflict resolution
9) Ability to communicate in English both verbally and in writing at European Language Portfolio General Level B2.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Ability to analyse a various range of organizational information, including accounting and finance, operations management, marketing and technology N
2) Integration of the organizational functional knowledge in the process of formulation and implementation of long-term strategic goals and objectives N
3) Competence in leadership and team membership skills for managing innovation as well as routine processes and activities in organizations N
4) Self-exploration through the development and implementation of real business opportunities N
5) Awareness of the uncertainty and complexity of global business environments and changing business practices and trends N
6) Ability to find ethical, creative, comprehensive solutions to complex organizational problems N
7) Integration of management techniques, new business models and analytical tools to decision-making processes N
8) Competence in vital managerial and leadership skills, such as critical thinking, business communication, decision making and conflict resolution N
9) Ability to communicate in English both verbally and in writing at European Language Portfolio General Level B2. N
Prepared by and Date ,
Course Coordinator
Semester
Name of Instructor

Course Contents

Week Subject
Required/Recommended Readings
Teaching Methods
Homework and Projects
Laboratory Work
Computer Use
Other Activities
Assessment Methods
Assessment Tools Count Weight
TOTAL %
Course Administration