I. SUBJECT DESCRIPTION
II. SUBJECT REQUIREMENTS
III. COURSE CURRICULUM
SUBJECT DATA
OBJECTIVES AND LEARNING OUTCOMES
TESTING AND ASSESSMENT OF LEARNING PERFORMANCE
THEMATIC UNITS AND FURTHER DETAILS
Subject name
PROJECT MANAGEMENT
ID (subject code)
BMEGT20MN13
Type of subject
contact course
Course types and lessons
Type
Lessons
Lecture
4
Practice
0
Laboratory
0
Type of assessment
exam grade
Number of credits
5
Subject Coordinator
Name
Dr. Sebestyén Zoltán
Position
associate professor
Contact details
sebestyen.zoltan@gtk.bme.hu
Educational organisational unit for the subject
Department of Management and Business Economics
Subject website
Language of the subject
magyar - HU; angol - ENG
Curricular role of the subject, recommended number of terms
Direct prerequisites
Strong
None
Weak
None
Parallel
None
Exclusion
None
Validity of the Subject Description
Approved by the Faculty Board of Faculty of Economic and Social Sciences, Decree No: 5881478/13/2024 registration number. Valid from: 11.12.2024.

Objectives

The course introduces students to project management terminology, basic tools and techniques. The curriculum briefly sum-marizes the knowledge necessary to manage a project within the framework of the subject in a structured way. The course also emphasizes practical solutions.

Academic results

Knowledge
  1. Understands the structure and operation of business organizations.
  2. Owns modern, theoretically demanding mathematical-statistical and modeling methods of problem recognition, formulation and solution, information collection and processing, he also knows their limitations.
  3. Familiar with the most basic graph-theoretic algorithms for management purposes and their solution procedure.
  4. Knows the most important monitoring techniques.
  5. Understands the resource allocation methods (time and resource-constrained).
  6. Understands how a prevalent project management software works.
Skills
  1. Formulates independent new conclusions, original ideas, and solutions, can apply demanding analysis and modeling methods, to develop strategies for solving complex problems, to make decisions.
  2. Develops an individual position based on one's analysis and can represent it in a debate.
  3. Able to develop strategies for solving complex problems, to plan the solution, to make decisions, to provide professional advice to economic actors. It uses an interdisciplinary approach to analysis and practical problem solving, if necessary.
  4. Able to formulate and solve a project-oriented network analysis using a graph-theoretic algorithm.
  5. Able to formulate network analysis as a linear programming problem.
  6. Can perform a comprehensive analysis using standard monitoring techniques (e.g. EVM).
  7. Can perform resource allocation.
  8. Can plan a project using project management software.
Attitude
  1. Open and inclusive to new achievements in economics and practice.
  2. Turns with interest to the results and solutions of related disciplines, open to networking.
  3. Committed to quality work. In a project, in the case of group tasks determined, constructive, cooperative, proactive, tolerant and inclusive.
  4. The planning and organization of one's professional career are motivated by the need to increase professional and social knowledge and social usefulness.
Independence and responsibility
  1. Independently selects and applies the relevant problem-solving methods in areas important for organizational policy, strategy and management
  2. Performs economic analysis, decision preparation, and consulting tasks independently.
  3. Takes responsibility for its work, the organization it manages, its business, and its employees.

Teaching methodology

Lectures, calculations, optional tasks.

Materials supporting learning

  • Az oktató által kiadott oktatási segédletek
  • Teaching aids issued by the instructor

General Rules

The assessment of the learning outcomes set out in 2.2 is based on a written examination during the examination period, and a case study (partial performance assessment) and classroom activity during the semester.

Performance assessment methods

A. Exam: a test of the theoretical background and practical application of the topics covered during the semester. B. Classroom activity. c. Performance assessment: written assignment (case study) to be submitted and presented to assess the practical application of the theory.

Percentage of performance assessments, conducted during the study period, within the rating

  • partial performance measurement (case study): 50
  • classroom activity: 50
  • total: 100

Percentage of exam elements within the rating

  • written exam: 80
  • partial performance measurement (case study): 10
  • classroom activity: 10
  • total: 100

Conditions for obtaining a signature, validity of the signature

Eligibility for the exam and signature is a condition for successful processing of a case study (partial performance measurement).

Issuing grades

%
Excellent 95-100
Very good 90–94
Good 75–89
Satisfactory 60–74
Pass 50–59
Fail 0-49

Retake and late completion

In accordance with the rules of the TVSZ.

Coursework required for the completion of the subject

Nature of work Number of sessions per term
participation in contact classes 48
homework preparation 24
independent acquisition of designated written curriculum 30
exam preparation 48
total 150

Approval and validity of subject requirements

Consulted with the Faculty Student Representative Committee, approved by the Vice Dean for Education, valid from: 04.11.2024.

Topics covered during the term

The learning outcomes of 2.2 can be achieved by studying the following areas and topics

Lecture topics
1. Characteristics of project phases, relationship between the project life cycle and the product life cycle.
2. Processes, process groups.
3. Project Success.
4. Main documents: project definition document, preliminary project scope description, project management plan.
5. Life cycle analysis.
6. Participants, roles.
7. Organizational issues: personnel management plan, organizational forms, human resource planning tools.
8. Network-based plannig: basics of graph theory, work breakdown structure, dependency definition, predecessor and successor activity lists, drawing and analysis of networks.
9. CPM, PERT.
10. MPM, GERT.
11. Estimation: errors, rules, accuracy, three levels, general techniques.
12. Resources: load, S-curve, resource allocation.
13. Tracking: EVM, ES.
14. Risk: qualitative and quantitative risk analysis.
15. Contract types.
16. Competition.
17. Project portfolio management: definition, steps, ranking, tracking.
18. Project management software practice.

Additional lecturers

Name Position Contact details

Approval and validity of subject requirements