Course Code: AMA I 7 • Study year: I • Academic Year: 2024-2025
Domain: Administrative Sciences - Masters • Field of study: Managerial and administrative assistance
Type of course: Compulsory
Language of instruction: Romanian
Erasmus Language of instruction: English
Name of lecturer: Marcela Nicoleta Breaz
Seminar tutor: Marcela Nicoleta Breaz
Form of education Full-time
Form of instruction: Class / Seminary
Number of teaching hours per semester: 56
Number of teaching hours per week: 4
Semester: Summer
Form of receiving a credit for a course: Grade
Number of ECTS credits allocated 6

Course aims:

The general aim of the discipline consists in providing knowledge on quantitative methods applied in administration.
It also provides skills to collect and maintain statistical data, to plot and process the specific data.
Based on the acquired skills, the students will be able to analyze the phenomena occurred in public and private administration.

Course Entry Requirements:


Course contents:

I. The role of quantitative methods in administration II. Fundamental concepts in statistical processing of information in administration III. Maintenance of statistical data files in administration IV. Plotting statistical data from administration V. Quantitative methods used in the analysis of statistical data from administration

Teaching methods:

Instruction is a combination of lectures, seminars and individual work; there are also compulsory assignments. There is 80% attendance requirement for seminars.

Learning outcomes:

-assimilating fundamental knowledge related to quantitative methods used in administration; -forming aptitudes needed for processing and analyzing the statistical data; this course graduate will be able to collect, systematize, graphically represent, and interpret statistical data specific to administration ; -developing the capacity to relate to standards connected with rigor and accuracy in data analysis.

Learning outcomes verification and assessment criteria:

- Final evaluation–project based on real data: Assessment of the specific knowledge during the presentation of the project (90% of the final grade); Continuous assessment: of the practical skills in data analysis during the seminars (10%).

Recommended reading:

L.D., Hoffmann, Calculus For Business, Economics And The Social And Life Sciences, McGraw-Hill Book Company, -, 1986, -.
R.I. Levin, Statistics For Management, Prentice-Hall, New Jersey, 1976, -.
S. Nolan, Introductory Statistics: Student Solutions Manual, Prentice Hall, -, 2006, -.
***, Statistical Yearbook, -, -, 2019, -.
-, -, -, -, -, -.