| Course Objectives: |
To equip students with the core concepts, principles, and processes of project management.
To familiarize students with the complete project lifecycle, from initiation through closure, and the relevant management techniques for each phase.
To ensure students gain both the theoretical foundation and practical expertise in project management, including proficiency in industry tools (e.g., MS Project).
To cultivate the competencies required for successfully completing projects within specified time, budget, and quality constraints, thereby meeting defined objectives and client requirements. |
| Course Content: |
The curriculum covers the definition and core functions of Project Management, the Project Management life cycle, knowledge and process areas, Agile and hybrid methodologies, and Computerized Project Management.
It also examines the impact of project strategies on business performance using case studies from various industries. |
Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:
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| Knowledge
(Described as Theoritical and/or Factual Knowledge.)
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1) Can explain traditional methods in project management.
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2) Can learn about the Project Information fields.
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3) Project types can be evaluated according to different criteria.
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4) Can master the project budget, project plan, and project closure process.
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| Skills
(Describe as Cognitive and/or Practical Skills.)
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1) Can list the differences between ongoing tasks and projects.
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2) Project management can prioritize knowledge areas according to their importance.
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| Competences
(Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)
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1) Can define the project life cycle (the stages of the project).
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| Week |
Subject |
Materials Sharing * |
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Related Preparation |
Further Study |
| 1) |
Introduction to Project and Project Management |
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| 2) |
Project Management Knowledge Areas |
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| 3) |
Project Selection Methods |
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| 4) |
Economic Models Used in Project Selection |
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| 5) |
Project Planning I - Schedule Management, WBS, and Effective Team Building |
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| 6) |
Project Planning II - Estimating Costs, Budgeting, and Planning Risk Management |
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| 7) |
Project Execution, Project Monitoring, and Controlling |
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| 8) |
Midterm Exam |
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| 9) |
Project Manager and Team Building |
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| 10) |
Information Sharing Areas in Traditional (Waterfall) Project Management |
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| 11) |
"Modern Project Management Approaches:
Agile Project Management: Flexible, iterative, and value-driven approaches (Scrum, Kanban).
Hybrid Project Management: The combination of Traditional (Waterfall) and Agile approaches." |
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| 12) |
Applied Topics
Project Management Software: Basic usage of tools such as MS Project.
Project Reports and Documentation." |
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| 13) |
Project Closure Processes |
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| 14) |
Final Exam |
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Programme Learning Outcomes |
Contribution Level (from 1 to 5) |
| 1) |
It explains fundamental concepts in mathematics, statistics, and probability; and applies this knowledge to data analysis, modeling, and interpretation of results. |
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| 2) |
It explains the principles of algorithm design and develops software for solving problems using at least one programming language. |
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| 3) |
It compares machine learning and data mining algorithms, selects the appropriate method, and applies it to real data. |
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| 4) |
Big data platforms utilize distributed systems and cloud computing architectures to perform data processing operations. |
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| 5) |
They apply natural language processing techniques to text data and develop basic NLP-based applications. |
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| 6) |
It analyzes different data sources, transforms them into meaningful outputs, and presents them using appropriate visualization tools. |
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| 7) |
It creates data-driven decision models using decision support systems. |
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| 8) |
It develops optimization models and produces solutions for industrial and sectoral problems. |
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| 9) |
In professional practice, we operate within the framework of ethical principles, data security, and social responsibility. |
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| 10) |
They keep up with current technological developments in their field, actively participate in teamwork, and develop a lifelong learning awareness. |
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| WORKLOAD OF TEACHING & LEARNING ACTIVITIES |
| Teaching & Learning Activities |
# of Activities per semester |
Duration (hour) |
Total Workload |
| Course |
14 |
3 |
42 |
| Laboratory |
0 |
0 |
0 |
| Application |
0 |
0 |
0 |
| Special Course Internship (Work Placement) |
0 |
0 |
0 |
| Field Work |
0 |
0 |
0 |
| Study Hours Out of Class |
2 |
20 |
40 |
| Presentations / Seminar |
0 |
0 |
0 |
| Project |
0 |
0 |
0 |
| Homework Assignments |
0 |
0 |
0 |
| Total Workload of Teaching & Learning Activities |
- |
- |
82 |
| WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES |
| Assesment & Evaluation Activities |
# of Activities per semester |
Duration (hour) |
Total Workload |
| Quizzes |
1 |
6 |
6 |
| Midterms |
1 |
30 |
30 |
| Semester Final Exam |
1 |
15 |
15 |
| Total Workload of Assesment & Evaluation Activities |
- |
- |
51 |
| TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities) |
133 |
| ECTS CREDITS OF THE COURSE (Total Workload/25.5 h) |
6 |