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Management Support Techniques

Code: LRE2218    Acronym: TAGE

Subject: 2018/2019 - 1S

Teaching Area: Management

Programmes

Acronym Study plan Curriculum Years ECTS Contact hours Total Hours
LRE Aviso nº 9881/2017 4 ECTS 36 107

Hours Effectively Taught

TRE2

Theoretical-Practical: 26,00
Seminário: 0,00
Other: 0,00

Teaching - Hours

Theoretical-Practical: 2,00
Seminário: 0,13
Other: 0,26

Aims, Skills and Learning Outcomes

Descriptive Summary

The course is structured to familiarize the student with fundamental concepts and calculation tools to a future business manager, and essential to the apprehension of contents that will be addressed during the degree. To that end, this course is designed to provide the student a first approach to important issues of current practice in companies and basic information in the field of finance.

Objectives and learning outcomes

1. Learn basic concepts in the field of business management;
2. Use calculation support procedures of the approaches in subsequent courses;
3. Master concepts and mathematical tools necessary to an increase of financial literacy skills;
4. Use mathematical formulas and statistics to analyze the economic-business phenomena;
5. Execute calculations based on numerical data obtained from internal or external sources of companies.

Skills to develop

1. Numeracy and quantitative skills, including data analysis, interpretation and extrapolation, with development of logically consistent reasoning;
2. The development of a logical, critical and analytical reasoning;
3. The ability to discuss the multiple dimensions of business phenomenon;
4. Proper use of the terminology and language of economic, business and accounting phenomena;
5. Use mathematical and statistics formulas in the analysis of economic and business phenomena;
6. Apply the concepts and principles studied to solving problems of business practice.

Programme

1.INTRODUCTION TO DATA ANALYSIS
a. Population, sample and data classification
b. Descriptive statistics measures
c. Location measures: mean, mode, median and quartiles
d. Dispersion measures: variance and standard deviation
e. Asymmetric measures
f. Concentration measures

2. INDICES NUMBERS
a. Simple indices
b. Aggregate Indices
c. PSI and CPI indices

3. ABSOLUTE AND RELATIVE RATES
a. Absolute variation, relative variation, growth rate or rate of change
b. Variations of a relative value: percentages and percentage points
c. Discrete and continuous rates of change
d. Average and global rates of change
e. Year-on-year growth rates

4. INTEREST RATES
a. Equivalent and proportional rates
b. Effective and nominal rates
c. Gross and net rates

Main literature

Chaves, C., Maciel, E., Guimarães, P., & Ribeiro, J. ;Instrumentos Estatísticos de Apoio à Economia: Conceitos Básicos, McGraw-Hill, 1999
Reis, E. ;Estatística Descritiva, Edições Sílabo, 2009

Supplementary Bibliography

Silvestre, A. ;Análise de Dados e Estatística Descritiva, Escolar Editora, 2007

Learning Methods

Students are made aware to read, handle and interpret economic and financial data by reading tables and graphs.
The approach of analytical tools to explore basic mathematical models is always exemplified with examples of real and current situations.
In the theoretical component of the syllabus, concepts are presented, using examples of direct application in the area in question, trying to show the relevance of the contents as support to managerial decisions.
In the practical component, practical cases addressed to the mathematical calculation are presented and solved, being the student task to select the most appropriate method to solve the problem, with the objective of developing the taste and interest for the contents of the course, and to show its usefulness through real situations.


Assessment Components

Avaliação distribuída com exame final

Assessment Components

Description Type Time (hours) Conclusion Date
Attendance (estimated)  Lessons  30
Two written tests  Teste/Exame  3
Self-study  Study  68
Seminar  Participação Presencial  2
Others  Study  4
  Total: 107

Continuous Assessment

Individual written tests: 2 (each weighted 40%)

Worksheet: 20%

Under the terms of the Bachelor's Regulation:

1. The actual presence of the students in the classes will be registered and, if the number of absences per student exceeds 30% of the total number of contact sessions provided for the course unit, it will automatically be transferred to the final evaluation of the normal time.
2. In the written tests referred to in point a) of paragraph 5 of Article 38 and in the evaluation elements referred in points b) to e) of paragraph 2 of Article 39, it is necessary to obtain a minimum grade of 7,5 (seven point five) values.
3. If the student fails or obtains a grade lower than 7.5 points in the written tests or assignments, he will be automatically transferred to the final evaluation of the normal season.
4. If the student fails or obtains a grade of less than 7.5 points in the second written test (held on the same date as the final written test of the normal time), he / she may apply for evaluation at the time of appeal. 

Final Exam

Individual written exam: 1 (100%)

Demonstration of the coherence between the teaching methodologies and the learning outcomes

The teaching methodologies aim to promote learning, both in the theoretical and practical dimensions. It is intended to expose the student to a diverse set of concepts and tools of exploratory data analysis and descriptive statistics. Likewise, the student is expected to use critical reasoning in the understanding of economic-business phenomena, and logical reasoning in solving practical problems.