ARTIFICIAL INTELLIGENCE ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
SEN3003 | Software Project Management | Spring |
3 | 0 | 3 | 7 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
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 YÜCEL BATU SALMAN |
Course Lecturer(s): |
Dr. Öğr. Üyesi YÜCEL BATU SALMAN Dr. Öğr. Üyesi PINAR BÖLÜK |
Recommended Optional Program Components: | None |
Course Objectives: | Defining the software project lifecycle and defining the usual stages of a software project management. Implementing a variety of cost benefit evaluation techniques for choosing among competing project proposals and evaluating the risk. The course covers project planning, program management, project evaluation, software effort estimation, activity planning, risk management, monitoring and controlling, managing contracts, managing people and organizing teams, and software quality. |
The students who have succeeded in this course; 1. Describe the contents of a typical business plan 2. Construct project planning in an organized step-by-step manner. 3. Select an appropriate process model 4. Describe the software effort estimation 5. Produce an activity plan for a project 6. Identify the factors putting a project at risk 7. Identifying the resources required for a project 8. Manage the progress of projects 9. Select new staff into a project. 10. Select the best communication genres to support the coordination needs of a project. |
The course content is composed of the basics of software project management, project evaluation and programme management, project planning, selection of appropriate project approach, software effort estimation, activity planning, risk management, resource allocation, monitoring and control, managing contracts, managing people in software environment, working in teams, software quality. |
Week | Subject | Related Preparation |
1) | Introduction to Software Project Management | |
2) | Project Evaluation and Programme Management | |
3) | An Overview of Project Planning | |
4) | Selection of Appropriate Project Approach | |
5) | Software Effort Estimation | |
6) | Activity Planning | |
7) | Activity Planning | |
8) | Risk Management | |
9) | Resource Allocation | |
10) | Monitoring and Control | |
11) | Managing Contracts | |
12) | Managing People in Software Environment | |
13) | Working in Teams | |
14) | Software Quality |
Course Notes / Textbooks: | Bob Hughes, Mike Cotterell, Software Project Management, McGraw Hill, 5th Edition. Harold Kerzner, Project Management: A Systems Approach to Planning, Scheduling, and Controlling, John Wiley & Sons. |
References: | Yok |
Semester Requirements | Number of Activities | Level of Contribution |
Project | 1 | % 25 |
Midterms | 1 | % 25 |
Final | 1 | % 50 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 25 | |
PERCENTAGE OF FINAL WORK | % 75 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 5 | 15 | 75 |
Project | 1 | 25 | 25 |
Midterms | 1 | 14 | 14 |
Final | 1 | 20 | 20 |
Total Workload | 176 |
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. |