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
Fundamentals of value methodology
ID (subject code)
BMEGT20MN61
Type of subject
contact lessons
Course types and lessons
Type
Lessons
Lecture
1
Practice
1
Laboratory
0
Type of assessment
term grade
Number of credits
3
Subject Coordinator
Name
Dr. Kalló Noémi
Position
assistant professor
Contact details
kallo.noemi@gtk.bme.hu
Educational organisational unit for the subject
Department of Management and Business Economics
Subject website
Language of the subject
magyar - HU, English - EN
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: 580251/13/2023 registration number. Valid from: 29.03.2023.

Objectives

The purpose of the course is to acquaint the students with the foundations and practical application of value methodology (recorded in an international standard). During the completion of the subject, students have the opportunity to obtain the Student Certification of the international organization of Value for Europe.

Academic results

Knowledge
  1. Students get to know the main relationships of knowledge in the technical, economic and management fields.
  2. Students get to know the operating principles of organizations as purposeful systems.
  3. Students learn about technical, economic and management activities in organizations and their connections.
  4. Student learn the basics of value management.
Skills
  1. Students will be able to apply and make practical use of the acquired knowledge and use problem-solving techniques.
  2. Students will be able to perform technical and economic decision preparation tasks and make decisions.
  3. Students will be able to develop and implement innovation plans.
  4. Students will be able to perform the tasks of value analysis.
  5. Students will be able to improve the quality and efficiency indicators of organizational operation, technical implementation, and management.
Attitude
  1. Students become characterized by creativity and flexibility.
  2. Students become characterized by good communication, reasoning and cooperation skills.
  3. Students become characterized by problem recognition and problem-solving skills.
  4. Students become characterized by advanced analyzing and synthesizing ability.
Independence and responsibility
  1. Students are expected to be intuitive and methodical.
  2. Students are expected to have the positive attitude necessary for professional further education.
  3. Students are expected to take the initiative, take personal responsibility, and make decisions.
  4. Students are expected to be able to cooperate and participate in group work.

Teaching methodology

Lectures, exercises, and project work.

Materials supporting learning

  • Poór J. (2016): Menedzsment-tanácsadási kézikönyv. Akadémiai Kiadó.
  • Hoffer I. (2020) Funkcióstruktúrák az értékmódszertanban. Budapesti Corvinus Egyetem.
  • SAVE International (2020): VM Guide: A Guide to the Value Methodology Body of Knowledge. SAVE International Paperback.
  • SAVE International (2016): Function Analysis Guide.SAVE International Paperback.
  • Lawrence D Miles Foundation (2008): Value Methodology: A Pocket Guide to Reduce Cost and Improve Value Through Function Analysis. GOAL/QPC, Inc.

General Rules

Performance in the subject is based on mid-semester performance evaluations (mid-term test, proect work, presentation).

Performance assessment methods

Mid-term test: in writing, a minimum score of 40% must be achieved to complete the subject. Project work: value and function analysis of a product/service, its has to be submitted until deadline to complete the subject. Presentation: oral presentation of the project work on the last week, participation is needed complete the subject.

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

  • Mid-term test: 25
  • Project work and presentation: 75
  • Total: 100

Percentage of exam elements within the rating

Issuing grades

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

Retake and late completion

The mid-term test can be retaken once in the semester. Due to its type, the project and its presentation cannot be replaced or improved.

Coursework required for the completion of the subject

Nature of work Number of sessions per term
Class work and its preparation time 40
Preparation for mid-term test 10
Project work 25
Preparation for presentation 15
Total 90

Approval and validity of subject requirements

Consulted with the Faculty Student Representative Committee, approved by the Vice Dean for Education, valid from: 13.03.2023.

Topics covered during the term

During the semester, students get to know the basics, purpose, tools, and application possibilities of the value method while they themselves use it in their own work.

Lecture topics
1. Concept of value and function, value methodology, value analysis, value planning, value management.
2. Methods, approaches, standards, principles, driving forces used in value management.
3. Stakeholder theory, concepts of demand, goals and performance, hierarchy of objectives, preliminary risk analysis.
4. Creating a work group, the importance of multidisciplinary teamwork, team vs. group, team development.
5. Needs and functions, needs-function relationship matrix, classification and arrangement of functions, function models, model validation.
6. Individual and group methods of idea generation, grouping and development of ideas, concepts of idea and proposal.
7. Profitability calculations, life cycle cost calculation, decision methods, process development, risk management.
8. Presentation techniques, introduction and follow-up plan preparation, change management considerations, value culture in organizations.

Additional lecturers

Name Position Contact details
Tarjáni Janka Ariella PhD hallgató/Phd Student tarjani.janka@gtk.bme.hu
Gerse-Krizsa Teréz egyetemi tanársegéd/assistant lecturer krizsa.terez@gtk.bme.hu

Approval and validity of subject requirements