ADV3631 Project ManagementBahçeşehir UniversityDegree Programs ARTIFICIAL INTELLIGENCE ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
ADV3631 Project Management Spring
3 0 3 5
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi ÖNDER YÖNET
Course Lecturer(s): Dr. Öğr. Üyesi ÖNDER YÖNET
Recommended Optional Program Components: None
Course Objectives: The objective of this course is, within the concept of "project management", to gain the students the ability of designing many projects in life (and in advertising). Hence, in other words, the objective is from the organization of their weddings to designing advertising campaigs, to teach them the steps, main concepts of project management and mediate in their becoming effective and efficient project managers.

Learning Outcomes

The students who have succeeded in this course;
1) To clarify what project is
2) To differentiate what project management is
3) To describe the project life cycle
4) To identify the stakeholders of a project
5) To employ project initiation to any given project
6) To develope a project plan
7) To analyse how to execute a project
8) To determine how to control a given project
9) To formulate how to communicate about a project
10)To organise how to close a project
11)To assess any given project
12)To design a project
13)To manage a project


Course Content

The course will be held two-sided, on one side the students will learn theoretical knowledge about project management, on the other side, by the same time, they will analyse case studies and practise designing their own real-time projects.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction
1)
2) What is a project? What is project management? The players of projects: Who is who in the project management?
3) Project life cycle
4) scope management
5) stakeholder analysis & management
6) Stakeholder analysis & management
7) WBS (Work Breakdown Structure) and OBS (Organizational Breakdown Structure) The project in the organizational structure
8) Quiz-Review-Improving or Catching Up! past subjects.
9) Risk management
10) Risk management, Project budgeting
11) PERT Diagrams and the Critical Path Method
12) PERT Diagrams and the Critical Path Method and resource allocation Determining the final project topics
13) The Monitoring-Controlling Cycle, Determining how to control a given project - The fundamental purposes of control
14) Organising how to close a project

Sources

Course Notes / Textbooks: Project Management: A Managerial Approach, Jack R. Meredith, Samuel J. Mantel Jr.,2011.

Managing Projects Large and Small: The Fundamental Skills to Deliver on budget and on Time by Richard Luecke, Harvard Business School Press (March 31, 2004) /
Proje Yönetimi,Richard Luecke, Türkiye İş Bankası Yayınları,2009.
References: The Principles of Project Management (SitePoint: Project Management), Mari Williams, 2008.

Project Management Case Studies,Harold Kerzner,2009

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 8 % 40
Final 1 % 60
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 4 56
Homework Assignments 8 3 24
Final 1 3 3
Total Workload 125

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Have sufficient background in mathematics, science and artificial intelligence engineering.
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4) Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5) Select and use modern techniques and tools necessary for engineering applications.
6) Design and conduct experiments, collect data, and analyse and interpret results.
7) Work effectively both as an individual and as a multi-disciplinary team member.
8) Access information via conducting literature research, using databases and other resources
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12) Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13) Have a sense of professional and ethical responsibility.
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.