Punjab PSEB SS Computer Application study materials
Punjab PSEB SS Computer Application study resources

Punjab PSEB SS Computer Application cheat sheet

Punjab PSEB SS Computer Application · Keep the key ideas within reach.

Quick reference

Computer Science - Core Fundamentals

  • Number systems: binary base 2, octal base 8, decimal base 10, hexadecimal base 16; each hex digit maps to exactly 4 binary bits.

  • 1 byte = 8 bits; 1 KB = 1024 bytes; 1 MB = 1024 KB; 1 GB = 1024 MB; 1 TB = 1024 GB.

  • Two's complement: invert all bits of the magnitude and add 1; an n-bit signed range is -2^(n-1) to 2^(n-1) - 1.

  • Logic gates: AND outputs 1 only if all inputs are 1; OR outputs 1 if any input is 1; XOR outputs 1 only for an odd number of 1 inputs; NAND and NOR are universal gates.

  • De Morgan's laws: NOT(A AND B) = (NOT A) OR (NOT B); NOT(A OR B) = (NOT A) AND (NOT B).

  • OSI has 7 layers (Physical, Data Link, Network, Transport, Session, Presentation, Application); TCP/IP has 4 layers.

  • IPv4 addresses are 32-bit; IPv6 addresses are 128-bit; a Class C IPv4 network uses a /24 mask with 254 usable hosts.

  • SQL categories: DDL (CREATE, ALTER, DROP), DML (INSERT, UPDATE, DELETE), DCL (GRANT, REVOKE), TCL (COMMIT, ROLLBACK).

  • CPU cycle: Fetch → Decode → Execute → Store; the ALU performs arithmetic and logic while the control unit sequences instructions.

Quick reference

CSAI Basic - Artificial Intelligence Foundations

  • AI is the simulation of human intelligence processes by machines; its core subfields are machine learning, natural language processing, computer vision, robotics and expert systems.

  • Machine learning types: supervised (labelled data), unsupervised (unlabelled data, clustering), and reinforcement learning (reward signal from an environment).

  • Classification predicts a discrete label; regression predicts a continuous numeric value; clustering groups unlabelled data by similarity.

  • Training set fits model parameters; validation set tunes hyperparameters; test set gives the final unbiased performance estimate.

  • Overfitting = low training error but high test error; remedies include more data, regularization, dropout and simpler models.

  • Confusion matrix terms: True Positive, True Negative, False Positive, False Negative; Accuracy = (TP + TN) / (TP + TN + FP + FN).

  • Precision = TP / (TP + FP); Recall = TP / (TP + FN); F1 = 2 × (Precision × Recall) / (Precision + Recall).

  • A perceptron computes a weighted sum of inputs plus a bias and passes it through an activation function such as ReLU, sigmoid or tanh.

  • Turing Test: a human judge converses with a machine and a human; the machine passes if the judge cannot reliably tell which is which.

Quick reference

CSAI Advance - Deep Learning and Applied AI

  • Backpropagation applies the chain rule to compute gradients of the loss with respect to each weight; gradient descent updates w ← w − η·∂L/∂w, where η is the learning rate.

  • Convolution layers apply learnable filters with shared weights to detect local spatial features; pooling layers reduce spatial dimensions and parameter count.

  • Recurrent networks process sequences with a hidden state carried across time steps; LSTM and GRU gates mitigate the vanishing gradient problem.

  • Transformer self-attention computes Attention(Q, K, V) = softmax(QKᵀ/√d_k)·V, allowing parallel processing of whole sequences.

  • Large language models are autoregressive next-token predictors trained on large corpora; temperature controls sampling randomness and top-p/top-k truncate the candidate token set.

  • Tokenization splits text into subword units; context window is the maximum number of tokens a model can attend to at once.

  • Reinforcement learning notation: state s, action a, reward r, policy π(a|s), discount factor γ; Q-learning updates toward r + γ·max Q(s′, a′).

  • Ethical AI concerns include dataset bias, lack of explainability, privacy leakage, and accountability for automated decisions.

  • Model evaluation for imbalanced data should use precision, recall, F1 or AUC-ROC rather than raw accuracy alone.

Quick reference

Vocational Group Syllabus 2026-27 - Applied IT Skills

  • Keyboard shortcuts: Ctrl+C copy, Ctrl+X cut, Ctrl+V paste, Ctrl+Z undo, Ctrl+Y redo, Ctrl+S save, Ctrl+P print, Ctrl+F find.

  • Spreadsheet cell references: relative (A1) changes on copy; absolute ($A$1) stays fixed; mixed ($A1 or A$1) fixes only one part.

  • Common spreadsheet functions: SUM(range), AVERAGE(range), COUNT, COUNTA, MAX, MIN, IF(condition, value_if_true, value_if_false), VLOOKUP.

  • Word processing: headers/footers repeat on every page; mail merge combines a main document with a data source; styles apply consistent formatting.

  • HTML document skeleton: , , with , and <body> holding visible content.</p>

  • Common HTML tags:

    – headings,

    paragraph, hyperlink, image,

  • File formats: .docx word processing, .xlsx spreadsheet, .pptx presentation, .pdf portable document, .jpg/.png images, .mp4 video, .zip compressed archive.

  • Cyber safety: phishing is a fraudulent message that tricks users into revealing credentials; strong passwords mix length and character types and are never reused.

  • E-governance and digital payment basics: UPI, net banking and digital wallets require OTP or PIN verification; never share OTP, CVV or PIN with anyone.