VBM646 - SOFTWARE PROJECT MANAGEMENT

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
SOFTWARE PROJECT MANAGEMENT VBM646 Any Semester/Year 3 0 3 6
PrequisitesNone
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Case Study
 
Instructor (s)To be determined by the institute 
Course objectiveThis course presents the principles of software project management. 
Learning outcomes
  1. After completing the course, the students will
  2. ? learn about the concepts of Software project management.
  3. ? learn Software requirements, analysis, design and programming phases.
  4. ? test software.
  5. ? get information on project management.
Course Content? Introduction to Project Management,
? Software Project Planning,
? Estimation Techniques,
? Project Schedules,
? Software Requirements,
? Design and Programming,
? Software Testing,
? Using Project Management Effectively.
 
References? Robert Bruce Kelsey , Software project management: measures for improving performance, Management Concepts, 2006. 

Course outline weekly

WeeksTopics
Week 1Introduction
Week 2Software Project Planning
Week 3Software Project Planning (cont?d.)
Week 4Estimation Techniques
Week 5Estimation Techniques (cont?d.)
Week 6Midterm exam I
Week 7Project Schedules
Week 8Project Schedules (cont?d.)
Week 9Software Requirements
Week 10Software Requirements (cont?d.)
Week 11Design and Programming
Week 12Design and Programming (cont?d.)
Week 13Midterm exam II
Week 14Software Testing
Week 15Using Project Management Effectively
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation00
Project00
Seminar00
Midterms250
Final exam150
Total100
Percentage of semester activities contributing grade succes050
Percentage of final exam contributing grade succes050
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14228
Presentation / Seminar Preparation000
Project000
Homework assignment000
Midterms (Study duration)22550
Final Exam (Study duration) 16060
Total Workload3190180

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Has comprehensive knowledge in fundamental areas of software engineering.    X
2. Has knowledge in the area of software requirements understanding process planning, output specification, resource planning, risk management and quality planning.    X
3. Understands the interplay between theory and practice and the essential links between them.   X 
4. Defines real life problems by identifying functional and non-functional requirements a software has to satisfy.   X 
5. Overcomes technical or scientific software engineering problems on their own and is in a position to propose the most suitable solution; has good communication skills to explain the completeness of their solution and clearly state the assumptions that were made.  X  
6. Completes a project on a larger scale than an ordinary course project in order to acquire the skills necessary to work efficiently in a team.  X  
7. Identifies, evaluates, measures and manages changes in software development by applying software engineering processes.   X 
8. Understands the social, legal, ethical and cultural issues involved in the deployment and use of software engineering and conducts all occupational pursuits in an ethical and responsible manner.  X  
9. Has good command of technical terms in both Turkish and English, where they have the ability to make succinct presentations (including face-to-face, written or electronic) to a range of audiences about technical/scientific problems and their solutions.   X 
10. Identifies and conducts research by applying scientific methods in order to solve scientific problems.     X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest