JSS TWO CURRICULUM IN DIGITAL TECHNOLOGIES

Aligned with the Updated National Competency-Based Learning Standards

FIRST TERM: INTERNET WORKING & NETWORKS

S/N	TOPICS	CONTENT	OPERATIONAL OBJECTIVES	TEACHING AIDS
1	Curriculum Review & Foundations	1. Review of JSS 1 foundational concepts 2. Brief recap of hardware, software, and online safety loops	Students should be able to: i. Recall core components of a digital system. ii. Re-state key rules for personal web safety.	Summary cards, classroom display charts.
2	Basic Computer Communication Networks	1. Meaning and definition of a network 2. The critical need for interconnected systems 3. Main types of networks (LAN, MAN, WAN)	Students should be able to: i. Explain what a computer network is. ii. Give reasons why networks are essential. iii. Distinguish between a LAN and a WAN setup.	Illustrative area maps, visual connectivity diagrams.
3	Components of a Computer Network	1. Core network devices: Servers, Clients, Switches, Routers, Hubs 2. Wired physical media (Cables) vs Wireless distribution	Students should be able to: i. Identify the functions of routers and switches. ii. Explain the difference between client systems and main server systems.	Physical LAN cables, Wi-Fi router model, network device pictures.
4	Network Topologies	1. Meaning and definition of network topology 2. Major layout configurations: Bus, Star, Ring layout designs 3. Pros and cons of each structural system	Students should be able to: i. Define network topology design. ii. Sketch simple Bus, Star, and Ring architectural layouts. iii. Compare the resilience of different shapes.	Cardboard sketches, colored connection strings.
5	Internet & Web Services	1. Deep dive into search engines vs web browsers 2. Business email setup basics and professional handling parameters	Students should be able to: i. Clarify why a browser is not a search engine. ii. List elements required to frame a proper professional email context.	Live browser projection, email compositional sheets.
6	Cloud Computing	1. Meaning and framework of remote cloud storage configurations 2. Prominent platforms (Google Drive, OneDrive, Dropbox) 3. Advantages of decentralized sharing and platform security rules	Students should be able to: i. Define cloud storage architecture. ii. Mention three common cloud storage systems. iii. Identify safety methods for storage access.	Interactive screenshots of Drive folders, cloud architecture charts.
7	Cybersecurity Awareness	1. Definition of core cybersecurity systems 2. Basic taxonomy of cyber threats (Phishing, Viruses, Malware, Ransomware) 3. Proactive defensive lines and safe online processing habits	Students should be able to: i. Define cybersecurity in plain terminology. ii. List three common patterns of digital attacks. iii. Mention actions to securely mitigate targeted risks.	Threat landscape info cards, list of standard safety drills.
8	Data Protection Fundamentals	1. Meaning and ultimate value of structured data protection laws 2. Basic legal and ethical operational lines for handling user details	Students should be able to: i. State the core reasons behind keeping data safe. ii. Explain why exposing classmates' details is unethical.	Simplified privacy policy printouts, case briefs.
9	Practical & First Term Assessment Review	1. Active troubleshooting and configuration mappings 2. Reviewing term metrics, evaluation structures, and examination	Students should be able to: i. Demonstrate basic file uploads to a remote storage drive platform.	Computer Laboratory systems, specific review guides.

SECOND TERM: COMPUTATIONAL LOGIC & PROGRAMMING STYLE

S/N	TOPICS	CONTENT	OPERATIONAL OBJECTIVES	TEACHING AIDS
10	Introduction to Programming	1. Basic definition and extreme importance of logic programming 2. Structural types of code languages (High level vs Low level structures) 3. Quick introductory look at Scratch and Python pathways	Students should be able to: i. Define a programming language environment. ii. Differentiate text-based systems from visual block code modules.	Logo illustrations, introductory Scratch presentation handouts.
11	Basic Problem-Solving Algorithms	1. Algorithmic steps in systematic real-world problem tracking 2. Interlinking structures between pseudo-logic, written notes, and flow patterns	Students should be able to: i. Create an algorithmic structure to determine average classroom counts. ii. Align raw steps to structural code patterns.	Algorithm template grids, blackboard layout exercises.
12	Block-Based Visual Coding (Scratch)	1. Understanding visual sprite movements and block mechanics 2. Initial tracking setup for building animations in a block environment	Students should be able to: i. Locate blocks within Scratch (Motion, Control, Looks). ii. Construct an active visual block line to manipulate a sprite character.	Scratch software workspace, printable block layout cards.
13	Variables in Programming Architecture	1. Core meaning, identification, and practical usage parameters of variables 2. Systematic steps to cleanly generate and tag dynamic variables in Scratch	Students should be able to: i. Explain variables in reference to data preservation storage boxes. ii. Generate a functional scorecard variable configuration block.	Physical boxes labeled as data slots, Scratch variable block sets.
14	Control with Conditional Operations	1. Logical flow structures tracking decision choices (IF, ELSE blocks) 2. Navigating path decisions within functional runtime program builds	Students should be able to: i. Describe how conditional loops evaluate path branches. ii. Design a block logic layer that moves a sprite only when a key is pressed.	Logical branching posters, conditional rule sheets.
15	Loops in Programming	1. Understanding systemic iteration (For loops, While loop frameworks) 2. Practical application modules for code minimization through loops	Students should be able to: i. Define programming loops and trace iterative structures. ii. Apply repeat mechanics to stop endless code sequence repetitions.	Pattern iteration flash sheets, sample block arrays.
16	Interactive Game Development	1. Strategic steps tracking simple video game logic modeling blueprints 2. Crafting functional basic user interaction controllers using Scratch	Students should be able to: i. Integrate movement, condition checks, and loops to build a game frame. ii. Run and play a simple custom-coded block canvas game.	Sample interactive gaming block scripts, design template charts.
17	Debugging System Errors	1. Definition, value tracking, and core mechanics of debugging routines 2. Finding, categorizing, and systematically rectifying script logical faults	Students should be able to: i. Define the concept of debugging code execution errors. ii. Find and correct intentional logic errors in a broken block script.	Faulty sample code templates, repair check sheets.
18	Practical & Second Term Examination	1. Comprehensive lab implementation tracking code generation skills 2. Evaluation processing and Second Term testing metrics	Students should be able to: i. Develop an original visual interactive script in the computer laboratory.	Computer workspace machines, evaluation parameters.

THIRD TERM: AUTOMATION, AI & DIGITAL ROBOTICS LABS

S/N	TOPICS	CONTENT	OPERATIONAL OBJECTIVES	TEACHING AIDS
19	Introduction to Robotics Architecture	1. Definition and functional classifications of mechanical robot units 2. Modern applications across industrial factories and automated household structures	Students should be able to: i. Define what qualifies a system as a robot machine environment. ii. Provide three fields benefiting from robotic applications.	Printed robot configuration charts, video slides.
20	Anatomy of a Robot: Components	1. Tracking Sensors (Inputs), Actuators (Motors/Outputs), and Controllers (Brains) 2. Evaluating internal structural software rules driving execution links	Students should be able to: i. Identify three primary hardware elements running a robot structure. ii. Describe how processing code interacts with external hardware sensors.	Disassembled toy robot items, sensor component pieces.
21	Basic Robotic Control Movements	1. Scripting simple coordinate shifts, driving rules, and navigation tracks 2. Concepts of automation vs direct operator manipulation frameworks	Students should be able to: i. Differentiate automated machine routines from human-piloted units. ii. Outline the path planning sequence for a smart vehicle.	Directional path mapping cards, tracking boards.
22	Introduction to Artificial Intelligence (AI)	1. Defining real-world definitions and classifications of AI systems 2. Daily interactions with recommendation engines, chatbots, and smart applications	Students should be able to: i. Define Artificial Intelligence in plain terms. ii. Provide examples of AI utilities in modern consumer appliances.	Interface screenshots of smart assistants, media engine models.
23	AI vs. Robotics Boundary Matrix	1. Interrelationships, shared properties, and distinctions separating AI from Robots 2. Evaluation matrix tracking smart drones, industrial arms, and virtual agents	Students should be able to: i. Categorize software chatbots separate from autonomous hardware systems. ii. Give an example of a system combining both robotics and AI.	Comparison Venn diagram prints, system type charts.
24	Real-Life Societal AI Impact	1. Evaluating structural systemic transformations across local health and agriculture sectors 2. Discussing foundational balance points regarding ethics and job automation concerns	Students should be able to: i. Detail how smart data analytics optimize crop matching routines. ii. Outline ethical issues arising from autonomous sorting systems.	Case studies on smart agriculture, class debate notes.
25	Emerging Tech Careers Market Map	1. Future career mappings (Prompt Engineers, Robotics Builders, Data Stewards) 2. Aligning skill building goals with upcoming shifts in economic demand	Students should be able to: i. List three modern specialized occupational sectors created by emerging tech. ii. Identify core digital skills to cultivate for future workspaces.	Tech career paths wall poster, occupational matrix profiles.
26	Digital Robotic Simulation Lab	1. Designing and managing simple operational behaviors using visual digital simulators 2. Constructing structural models inside virtual environments without real hardware friction	Students should be able to: i. Navigate an open-source visual sandbox or drawing simulation tool. ii. Arrange mechanical structural components in order inside a digital workspace.	Online open-source simulation tools, lab task worksheets.
27	Capstoned Project Deployments	1. Group collaborative presentations on custom-built block coding apps or designs 2. Peer review assessments and final functional grading rubrics	Students should be able to: i. Present an original computational system or interactive animation to the class. ii. Articulate the logical workflow used to build their group project.	Evaluation assessment matrices, project score sheets.
28	Comprehensive Term Revision & Examination	1. Year-end summary reviews across all primary network, coding, and robotic topics 2. Final year-end examination processing and performance scoring metrics	Students should be able to: i. Successfully answer theoretical and practical questions across the full year's topics.	Testing templates, system metrics documentation sheets.

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