Bachelor in Business Intelligence and Data Analytics

Bachelor in Business Intelligence and Data Analytics

Become an expert in data analysis and business decision making in a technological ecosystem and with great networking opportunities

Mathematics

Description: 

This course is designed as a review of the main mathematical methods that are required by students of business, economics and management. It assumes only a basic knowledge of mathematical analysis, and will build slowly from fairly elementary topics to an introduction to calculus and the more complex methods used in more advanced studies.

Type Subject
Primer - Obligatoria
Semester
First
Course
1
Credits
6.00

Titular Professors

Professors

Previous Knowledge: 

Algebra and calculus (basic level)

Objectives: 

This course seeks to help you in:

· Reviewing basic mathematical concepts.

· Practicing operations and estimations of quantities.

· Understanding how mathematics plays an important role in Business.

Contents: 

1. Basic concept review

2. Linear equations

3. Linear programming

4. Quadratic functions

5. Indices and logarithms

6. Mathematics of finance

7. Differentiation

8. Optimization of economic functions

9. Integration

10. Matrices

Methodology: 

Weekly teaching will consist of two lecturing sessions to explain basic concepts to apply knowledge to practical situations. Exercises in class will be solved and problems will also be proposed so that students can apply the concepts learned.

 

Each topic will have the following elements:

 


Elements

Methodology

Math review

Lecture

Examples problems

Lecture

Homework problems

Problem solving

Practice problems

Problem solving

Evaluation: 

Continuous assessment has the following evaluation structure:


Evaluation type

Weight

Content

Activity type

Midterm Exam

30%

First part of subjects

Highly important

Final Exam

30%

Second part of subjects

Highly important

Individual assignments grade

25%

All subjects

5 homework

Highly important

Attendance & participation

15%

All subjects

Weekly assignments

Moderately important

Evaluation Criteria: 

The evaluation criteria apply to all the students; retakers must attend class and submit all the deliverables requested. Any exceptional situation should be communicated previously to the professors and validated by the tutor.

It is mandatory to have submitted five individual assignments to sit for the final exam.

Late deliveries of individual assignments will have a rating of zero.

The subject will be passed if the overall score is higher than 5.

There is no retake exam scheduled for Mathematics. This means that students who do not achieve a passing grade will need to re-enroll in the course and start studying the subject from the beginning. The policy is designed to ensure that students actively participate during class sessions, as consistent engagement is essential for developing a strong understanding of the material. Mathematics is a cumulative subject, and missing key concepts can make it difficult to progress. By requiring full participation throughout the course rather than offering a retake, the program helps students build a solid foundation for future learning.

Basic Bibliography: 

Jacques, I. (2009). Mathematics for Economics and Business. Pearson Education, 9th edition.

Additional Material: 

None