Name: Jay Arre Talosig
Subject & Section: CCINCOML COM23P
Professor: Elizer Jr. D. Ponio
No. of Units: 3.0 Units
GPA : 4.0 Passed
This repository contains all of the activity and exercises throughout the course outline. There's a Python code implementations for each topic.
Course Outline: https://believed-bongo-319.notion.site/CCINCOML-53b7f7cef72a4359a01aa69ac1f39cb3?pvs=4
Topic | Description |
---|---|
Part 1 - Computer Systems | Brief History of Computer systems, Types of Computer Systems, Components of a Computer system and Computer Networks |
Part 2 - Programming Languages | Brief History and Types of Programming Languages |
Part 3 - Logic Development: Flowcharts | Symbols, Connections and Rules |
Part 4 - Logic Development: Pseudocode | Language, Keywords and Rules |
Part 5 - The Number System | Types, Conversions, Basic Operations and Complements |
Part 6 - Logic Gates | Types, Expressions, Diagrams, Basic Boolean Operators |
Part 7 - Introduction to Python programming language Part 1 | Overview, Basic Syntax, Variables, Basic Operations, Decision Making |
Part 7 - Introduction to Python programming language Part 2 | Loops, Lists, Dictionaries, Functions |
https://www.pearsonhighered.com/assets/samplechapter/0/3/2/1/0321537114.pdf
https://github.com/robitussin/CCINCOML/tree/main/Part%203%20-%20Logic%20Development
🤝 1. The summer season is just months away. You are planning to go on a trip to cebu, bohol and davao for one week. Being a computer science/information technology student, you decided to create a travel itinerary by creating a flow chart.
- ✍️ Your flow chart should use at least three decision symbols
- ✍ Your flowchart should start in cebu, bohol and davao.
✍️ 1. Create a pseudocode for the following java code below
🤖 Think of an algorithm on how you will increase your chance of winning blackjack
- ✍️ Create a flowchart of you algorithm
- ✍️ Write a pseudocode of your algorithm
Kindly see the "blackjack_strategy_algorithm" text file for my overall analysis and explanation
Kindy see the Exercise2 repo for more information regarding on this activity
Date: January 31, 2024
Kindy see the Exercise3 repo for more information regarding on this activity
Date: February 7, 2024
Kindy see the Exercise4 repo for more information regarding on this activity
Date: February 14, 2024
Kindy see the Exercise5 repo for more information regarding on this activity
Date: February 21, 2024
Kindy see the Exercise6 repo for more information regarding on this activity
Date: March 06, 2024
Outlines guidelines for contributing to the project, including how to submit bug reports, feature requests, or pull requests.
This lecture is licensed under the National University of Manila License.
The National University of Manila License grants permission to students of the National University of Manila to use, modify, and distribute this project for educational purposes within the scope of their coursework and assignments.
- You may use this project as a reference or learning material for your studies at the National University of Manila.
- You may modify the project to suit your educational needs and requirements.
- You may share the project with your fellow students or instructors for educational purposes.
- You may not use this project for commercial purposes.
- You may not redistribute or publish this project outside the National University of Manila without explicit permission.
This project is provided "as is" without warranty of any kind, express or implied. The National University of Manila and the project contributors disclaim any liability or responsibility for any direct, indirect, incidental, special, exemplary, or consequential damages arising out of the use or misuse of this project.
Professor Elizer Jr. Ponio is a Software engineer, lecturer, and Machine Learning engineer at the National University. With a Bachelor of Science degree and Master degree in Computer Science, he brings a strong foundation in computer science principles. Prof. Ponio's expertise in software engineering and machine learning is evident in his teaching style and practical approach. He is dedicated to providing students with a comprehensive understanding of the subject matter and incorporates real-world applications into his instruction. Prof. Ponio's combination of academic qualifications, industry experience, and passion for teaching make him a valuable asset to the National University community.
Professor Lord Tavu is an elite instructor in the College of Computing and Information Technologies at the National University, Manila, Philippines, and currently serves as one of the head faculty members at NU Dasmariñas. Holding a strong academic background in Computer Science, he specializes in Machine Learning and Artificial Intelligence with a proven track record of delivering high-quality instruction.
As a seasoned educator, Professor Tavu brings a unique blend of theoretical foundations and practical expertise to the classroom, empowering students to excel in the rapidly evolving fields of Computer Science, Machine Learning and Artificial Intelligence. His teaching style is characterized by a deep understanding of complex concepts, which he breaks down into engaging and accessible lessons. With a strong focus on real-world applications, Professor Tavu inspires students to think critically and develop innovative solutions to real-world problems.
To be follow
## [1.1.9] - 2024-01-24
### Added
- Uploaded the Exercise_1 that contains png and txt file
- Added breakdown and documentation
- Included user profile page
- Added some python script just for fun and to know if my programm and algorithm is executing properly
- Added blackjack_strategy_algorithm.txt to explain my overall concept about the algorithm in Blackjack
### Changed
- Refactored my flow chart
- Updated documentation for readme file
### Fixed
- Resolved issue with png file
- Fixed some psuedocode blackjack.txt
## [1.2.6] - 2024-02-02
### Added
- Added some lecture github link in The Number System
- Uploaded some png file in Exercise_2
- Add file in Exercise_2
### Changed
- Updated documentation for readme file
### Fixed
- Resolved issue with png file
- Fixed some incorrect data in readme file
## [1.3.3] - 2024-02-07
### Added
- Uploaded Exercise No 3
### Changed
- Updated documentation for readme file
### Fixed
- Resolved issue with png file
## [1.4.3] - 2024-02-14
### Added
- Uploaded documentation for RM file
- Added some lecture github link in The Boolean Logic and Logic Gates
### Changed
- Updated the documentation
## [1.5.7] - 2024-02-21
### Added
- Uploaded Exercise No. 5
- Uploaded New Exercise via Colab
- Added a lecture link for Chapter 7: Introduction to Python programming language Part 1
### Changed
- Remove unnecessary documentation
- Deleted Exercise5.1.ipynb
### Fixed
- Added some subfolder for exercise no. 4
- Fixed some line of code via colab
## [1.6.9] - 2024-03-08
### Added
- Uploaded a documentation for RM file
- Uploaded New Exercise via Colab
- Added a Master degree in Professor Ponio's Acknowledgement
- Added some comment in every funtion that I wrote in my exercise6.ipynb at google colab
- Uploaded the Final Exercise
### Changed
- Updated the documentation
- Update some changes in my code in collab
### Fixed
- Revised my exercise6.ipynb due to some minor error
- Fixed some comment at the last part of exercise6.ipynb