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Ver Oferta Académica CompletaThe Programmer Fundament Software course is designed to provide participants with the basic knowledge required for software programming and development. This training prepares students to obtain the International Certification Software Programmer Fundament (Softf-001), issued by Certitals. Th…
The Programmer Fundament Software course is designed to provide participants with the basic knowledge required for software programming and development.
This training prepares students to obtain the International Certification Software Programmer Fundament (Softf-001), issued by Certitals.
The program focuses on developing skills in programming logic, algorithms, software modeling, data structures and databases, ensuring that students acquire a solid programming basis.
Under the practical Learning Method approach, participants will receive a cloud entrance pack to apply the concepts through workshops, laboratories and projects in real environments.
At the end of the course, participants will be able to:
To participate in this training, attendees must meet the following requirements:
| Curso: Software Programmer Fundamentals | Infinity | Applies |
|---|---|
| Curso: Software Programmer Fundamentals | Infinity | 40 hours |
The learning methodology, regardless of the modality (in-person or remote), is based on the development of workshops or labs that lead to the construction of a project, emulating real activities in a company.
The instructor (live), a professional with extensive experience in work environments related to the topics covered, acts as a workshop leader, guiding students' practice through knowledge transfer processes, applying the concepts of the proposed syllabus to the project.
The methodology seeks that the student does not memorize, but rather understands the concepts and how they are applied in a work environment.
As a result of this work, at the end of the training the student will have gained real experience, will be prepared for work and to pass an interview, a technical test, and/or achieve higher scores on international certification exams.
You do not need to pay to pre-enroll. By pre-enrolling, you reserve a spot in the group for this course or program. Our team will contact you to complete your enrollment.
Pre-enroll nowMake your payment quickly, safely and reliably
- For bank transfer payments, request the details by email
capacita@aulamatriz.edu.co.
- If you wish to finance your payment through our credit options
(Sufi, Cooperativa Unimos or Fincomercio), click on the following link:
Ver opciones de crédito.
The Programmer Fundament Software course is designed to provide participants with the basic knowledge required for software programming and development.
This training prepares students to obtain the International Certification Software Programmer Fundament (Softf-001), issued by Certitals.
The program focuses on developing skills in programming logic, algorithms, software modeling, data structures and databases, ensuring that students acquire a solid programming basis.
Under the practical Learning Method approach, participants will receive a cloud entrance pack to apply the concepts through workshops, laboratories and projects in real environments.
At the end of the course, participants will be able to:
To participate in this training, attendees must meet the following requirements:
| Curso: Software Programmer Fundamentals | Infinity | Applies |
|---|---|
| Curso: Software Programmer Fundamentals | Infinity | 40 hours |
The learning methodology, regardless of the modality (in-person or remote), is based on the development of workshops or labs that lead to the construction of a project, emulating real activities in a company.
The instructor(live), a professional with extensive experience in work environments related to the topics covered, acts as a workshop leader, guiding students' practice through knowledge transfer processes, applying the concepts of the proposed syllabus to the project.
La metodología persigue que el estudiante "does not memorize", but rather "understands" the concepts and how they are applied in a work environment."
As a result of this work, at the end of the training the student will have gained real experience, will be prepared for work and to pass an interview, a technical test, and/or achieve higher scores on international certification exams.
Make your payment quickly, safely and reliably
- For bank transfer payments, request the details by email
capacita@aulamatriz.edu.co.
- If you wish to finance your payment through our credit options
(Sufi, Cooperativa Unimos or Fincomercio), click on the following link:
Ver opciones de crédito.
1.1. Concepts of algorithm and their importance - Definition of algorithms.
Structure of an algorithm: Input, Process, and Output.
Types of algorithms: iterative, recursive, and algorithmic.
Examples of algorithms in real life.
1.2. Computational thinking and problem solving
Decomposition of problems into smaller steps.
Pattern recognition and abstraction.
Structure of the solution: Development and optimization.
Design of efficient algorithms.
1.3. Practice: Solving simple problems with pseudocode
Modeling real problems with pseudocode.
Conversions between pseudocode and flowcharts.
Practical exercise: Development of a pseudocode to solve a mathematical problem
2.1. Use Case Diagrams
Identification of actors.
Main and alternative scenario diagrams.
Extended and general use cases.
2.2. Sequence Diagrams
Representation of interaction between objects and events.
Modeling of data flow and message sequence.
2.3. Activity Diagrams
Representation of activities, decisions, and alternative flows.
Activity diagrams with partitions (swimlanes)
3.1. Data Types and Operators
- Primitive data types: integers, floats, booleans, strings.
- Arithmetic, logical, comparison, assignment, and bitwise operators.
- Data type conversion (casting).
3.2. Conditional Control Structures and Loops
- Conditional statements: if, else, elif, switch.
- Counter-controlled loops: for and while.
- Condition-controlled loops: do-while.
- Concepts of recursion vs iteration.
3.3. Declaration and Use of Functions
- Return and non-return functions.
- Parameters by value and by reference.
- Nested and recursive functions.
- Use of lambda functions.
3.4. Practice: Problem Solving with Functions
- Functional decomposition exercises to solve problems.
- Code modularization to enhance reusability.
4.1. Lists, Tuples, Dictionaries, and Sets
Basic operations on data structures: creation, updating, deletion.
Advanced methods and operations: append, pop, sort, reverse.
Dictionaries and handling key-value pairs.
4.2. Sorting Algorithms (Bubble, Selection)
Step-by-step implementation of sorting algorithms.
Time and space complexity: O(n^2), O(n log n).
Comparison between sorting algorithms: efficiency and appropriate use.
4.3. Search Algorithms (Binary, Linear)
Implementation of sequential search and binary search.
Necessary conditions for using binary search.
Comparison of complexities.
4.4. Practice: Implementation of Algorithms in Python
Exercises on searching and sorting with lists and dictionaries.
Optimization of search code for large volumes of data
5.1. Basic concepts of objects and classes
Definition of objects, classes, attributes, and methods.
Encapsulation, abstraction, and modularity.
5.2. Creation of objects and methods
Creation and use of objects in Python.
Public, private, and protected methods.
5.3. Inheritance and polymorphism
Concept of inheritance and class reusability.
Overridden methods and polymorphism.
5.4. Practice: Modeling objects and their interaction
Practical exercise to model entities using OOP.
6.1. Types of Databases (Relational and Non-relational)
Key differences between relational and non-relational databases.
Examples of relational databases (MySQL, PostgreSQL) and non-relational databases (MongoDB).
When to use a relational database vs a non-relational database.
6.2. Database Components: Tables, Rows, Columns
Definition and creation of tables.
Relationships between tables: one-to-one, one-to-many, and many-to-many.
Data types in SQL: VARCHAR, INT, DATE
7.1. Entity-Relationship Diagrams
Definition of entities, attributes, and relationships.
Creation of ER diagrams to represent data models.
7.2. Primary and Foreign Keys
Definition of primary keys and how they ensure the uniqueness of records.
Foreign keys and their importance in linking tables.
7.3. Database Normalization
Concept of normalization and its levels (1NF, 2NF, 3NF).
Practical exercises to avoid redundancy in databases.
8.1. Table and Relationship Creation
Basic SQL Syntax: CREATE TABLE, ALTER TABLE.
Definition of Constraints (PRIMARY KEY, UNIQUE, NOT NULL).
8.2. SQL Queries: SELECT, INSERT, UPDATE, DELETE
Read Queries: SELECT with filters, operators, and sorting.
Data insertion, modification, and deletion queries: INSERT INTO, UPDATE, DELETE
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