STEM & Information Technology cluster
Computer Science Pathway
Level 3. Advanced
Computer Science II
Deep dive into advanced algorithms, data structures, and software development.
About Course
Unlock the world of computer science
Computer Science II dives deep into Python programming, enhancing students' expertise. Students explore system administration, understand the workings of operating systems, and grasp networking basics.
The course progresses into advanced Python topics, emphasizing the foundational principles of object -oriented programming and data analytics.
Skills
Skill-up approach
Networking & internet protocols
System management & configuration
Advanced python programming
Object-oriented programming
Machine learning
Data visualization
Syllabus
Step-by-step to the Result
1
System Administration
•Operating systems
•Software and Applications
•Application Security
•Browser Configuration
Project: Presentation on system
administration concepts and its impacts
2
Networking Fundamentals
•Impact of the Internet
•Data Representation
•Internet Hardware & Addresses
•Domain Name System (DNS)
•Packets and Protocols & Routing
Project: Web Page creation with HTML
3
Advanced Python Programming
•Modules & Packages
•Python and self-defined Exceptions
•Operations on strings & string methods
•Classes and Object-Oriented Programming
Project: Library Management System
4
Data Analytics with Python
File processing and operations with NumPy and Pandas
Visualizations with Matplotlib and Seaborn
ML fundamentals with SciKit-Learn
Project: Market Analysis Tool
Hands-on Projects
Case-based Portfolio
"Computer Science II" final project
Students develop a Market Analysis Tool using Python. Through this tool, they gather, cleanse, and interpret market data, providing insights via visualizations. This project synthesizes their knowledge in OOP and data analytics.
Testimonials
What Our Students Think
Student learning with YaizY is more dynamic, engaging, and applicable to the real world! See what our students say about it!
Tech Requirements
Fully web-based learning for a seamless implementation
Hardware & Software & Internet Speed
PC/Laptop or Chromebook;
Web camera and Headset;
Stable Internet connection from 30 Mbit/s/
Web tools only
Python Web IDE;
Google Workspace
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