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Special Course: COMPUTER SCIENCE PRINCIPLES
Special Course: COMPUTER SCIENCE PRINCIPLES
Courses are built for a 16-week semester system. There are 2 Courses.
· Weekly 3 classes.
· Every class is 45 minutes.
· Total 32 classes.
· Online and Offline both facilities are available.
· Batch sizes are not more than 5.
· Eligibility: From Class 7 onwards
COURSE 1
Unit 1: Intro to Computer Science Principles
1.1 Intro to Computer Science Overview
1.3 Introduction to Computer Science
1.4 Computer History
1.5 CS Impact on Our Lives
Unit 2: Algorithms
2.1 Intro to Algorithms Overview
2.2 Computational Thinking
2.4 Algorithms
2.5 Pseudocode
2.6 Flowcharting
2.10 What is Abstraction?
Unit 3: Data
3.1 Data Overview
3.3 Data Systems
3.4 Data Abstraction
3.6 Digital Data Representation
3.7 Binary Number System
3.10 Binary Search vs Linear Search
3.11 Searching & Sorting
3.12 ASCII
3.13 Data Compression
3.14 Data Compression and Storage
Unit 4: Programming with Scratch
4.1 Programming with Scratch Overview
4.3 Intro to Scratch
4.4 Project Tutorial in Scratch
4.8 Loops in Scratch
4.10 Planning a Project in Scratch
Unit 5: Programming with App Lab
5.1 Programming with App Lab Overview
5.3 Intro to App Inventor
5.4 Using a Tutorial to Build an App
5.5 App Architecture
5.6 Event Handling
5.10 Boolean Logic
Unit 6: Software Development
6.1 Software Development Overview
6.3 Software Development Cycle
6.4 Stages of Development
6.5 Ethical Issues
6.6 Ethical Use and Responsibility
Unit 7: Mock Create Performance Task
7.1 Mock Create Performance Task Overview
7.3 Mock Create Performance Task
COURSE 2
Unit 8: Programming with Python
8.1 Programming with Python Overview
8.3 Intro to Python
8.4 Programming with Python
Unit 9: Lists and More in Python
9.1 Lists and More in Python Overview
9.2 Strings in Python
9.4 Lists in Python
9.6 Reading Pseudocode
Unit 10: The Internet
10.1 The Internet Overview
10.3 History of the Internet
10.4 Internet Systems
10.5 Using HTML to Create a Webpage
10.6 What is the Internet?
10.7 Building a Network
10.9 The Need for Addressing
10.10 Routing & Redundancy
10.11 Packets
10.13 HTTPS & DNS
10.16 Fault Tolerance
10.17 Parallel and Distributed Computing
Unit 11: Cybersecurity
11.1 Cybersecurity Overview
11.2 Intro to Cybersecurity
11.3 PIIs & Cookies
11.4 Internet Privacy
11.7 Digital Footprint
11.8 Passwords
11.9 Cybersecurity & Cryptography
11.12 Cryptography
11.15 Encryption
Unit 12: Impact of Computing
12.1 Impact of Computing Overview
12.2 Machine Learning
12.3 Training Data & Bias
12.5 Algorithmic Bias
Unit 13: Create Performance Task Overview
13.1 Create Performance Task Overview
13.2 Expectations of CPT
13.6 Explanation of Personal Project Reference Document Use
Unit 14: APCSP Exam Review
14.1 APCSP Exam Review Overview
14.2 APCSP Exam Strategies
14.3 Big Idea 1 Creative Development
14.5 Big Idea 2 Data
14.7 Big Idea 3 Algorithms & Programming
14.9 Big Idea 4 Computing Systems & Networks
14.11 Big Idea 5 Impact of Computing
14.13 Final APCSP Review
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