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IT-project Management (курсова робота)

Major: Computer Sciences
Code of Subject: 6.122.00.O.99
Credits: 2
Department: Computer-Aided Design
Lecturer:
Semester: 5 семестр
Mode of Study: денна
Learning outcomes:
Required prior and related subjects:
Summary of the subject:
Recommended Books:
Assessment methods and criteria:

IT-project Management (курсова робота)

Major: Computer Sciences
Code of Subject: 6.122.00.O.100
Credits: 2
Department: Artificial Intelligence Systems
Lecturer: Vovk O.
Semester: 5 семестр
Mode of Study: денна
Learning outcomes:
As a result of studying the discipline, the specialist should know:

mathematical models and methods of IT project management, current state of tools and methodology for their application in practice;



The trained specialist should be able to:

to carry out a substantive formulation of the task of describing an IT project and its structure; by means of computer software.

The discipline is the basic discipline of profiling in the specialty "Intelligent decision-making systems", and provides training for students in the management of IT projects to create complex systems.

Required prior and related subjects:
system analysis
Summary of the subject:
IT project content management. Content definition and planning. Creating a hierarchical structure of works. Content approval and management. IT project timeline management. Determining the composition and relationships between operations. Estimation of resources and duration of operations. Development and management of work schedule (schedule). IT project cost management. Costing. Cost budgeting and cost management. IT project quality management. Quality planning. The process of quality assurance and quality control. Human Resource Management IT Project. IT project team planning and recruitment. Development and management of the project team. Project Communication Management. Communication planning and information dissemination. Reporting and managing project participants. Project risk management. Response planning, monitoring and risk management. Project delivery management. Requirements management
Recommended Books:
1. Катренко А.В. Управління ІТ проектами. – Львів: Новий світ – 2000, 2011.

2. Катренко А.В. Системний аналіз. – Львів: Новий світ – 2000, 2009.

3. Халл Э., Джексон К., Дик Д. Разработка и управлене требованиями. М.: Telelogic, 2005.

4. Руководство к своду знаний по управлению проектами. Американский национальный стандарт ANSI/PMI 99-001-2004. – Project Management Institute, 2004.

5. Современные метлды управления портфелем проектов и офис управления проектами? Максимизация ROI. М.: PM Solutions Soft Systems, 2004.

6. Катренко А.В. Дослідження операцій. – Львів: «Магнолія плюс», 2007.

Assessment methods and criteria:
Coursework - 100

IT-project Management (курсова робота)

Major: Computer Sciences
Code of Subject: 6.122.00.O.98
Credits: 2
Department: Automated Control Systems
Lecturer:
Semester: 5 семестр
Mode of Study: денна
Learning outcomes:
Required prior and related subjects:
Summary of the subject:
Recommended Books:
Assessment methods and criteria:

IT-project Management

Major: Computer Sciences
Code of Subject: 6.122.00.O.95
Credits: 6
Department: Automated Control Systems
Lecturer:
Semester: 5 семестр
Mode of Study: денна
Learning outcomes:
Required prior and related subjects:
Summary of the subject:
Recommended Books:
Assessment methods and criteria:

IT-project Management

Major: Computer Sciences
Code of Subject: 6.122.00.O.96
Credits: 6
Department: Computer-Aided Design
Lecturer:
Semester: 5 семестр
Mode of Study: денна
Learning outcomes:
Required prior and related subjects:
Summary of the subject:
Recommended Books:
Assessment methods and criteria:

IT-project Management

Major: Computer Sciences
Code of Subject: 6.122.00.O.97
Credits: 6
Department: Artificial Intelligence Systems
Lecturer: Vovk O.
Semester: 5 семестр
Mode of Study: денна
Learning outcomes:
As a result of studying the discipline, the specialist should know:

mathematical models and methods of IT project management, current state of tools and methodology for their application in practice;



The trained specialist should be able to:

to carry out a substantive formulation of the task of describing an IT project and its structure; by means of computer software.

The discipline is the basic discipline of profiling in the specialty "Intelligent decision-making systems", and provides training for students in the management of IT projects to create complex systems.

Required prior and related subjects:
system analysis
Summary of the subject:
IT project content management. Content definition and planning. Creating a hierarchical structure of works. Content approval and management. IT project timeline management. Determining the composition and relationships between operations. Estimation of resources and duration of operations. Development and management of work schedule (schedule). IT project cost management. Costing. Cost budgeting and cost management. IT project quality management. Quality planning. The process of quality assurance and quality control. Human Resource Management IT Project. IT project team planning and recruitment. Development and management of the project team. Project Communication Management. Communication planning and information dissemination. Reporting and managing project participants. Project risk management. Response planning, monitoring and risk management. Project delivery management. Requirements management
Recommended Books:
1. Катренко А.В. Управління ІТ проектами. – Львів: Новий світ – 2000, 2011.

2. Катренко А.В. Системний аналіз. – Львів: Новий світ – 2000, 2009.

3. Халл Э., Джексон К., Дик Д. Разработка и управлене требованиями. М.: Telelogic, 2005.

4. Руководство к своду знаний по управлению проектами. Американский национальный стандарт ANSI/PMI 99-001-2004. – Project Management Institute, 2004.

5. Современные метлды управления портфелем проектов и офис управления проектами? Максимизация ROI. М.: PM Solutions Soft Systems, 2004.

6. Катренко А.В. Дослідження операцій. – Львів: «Магнолія плюс», 2007.

Assessment methods and criteria:
laboratory works - 50
written component - 40
oral component – 10