Semester 6Year 3 · EvenCore Subject★★★★★ Hard
CS 601

Artificial Intelligence

BCA Semester 6 · Government Engineering College Visakhapatnam, Visakhapatnam

Study of intelligent agents, search algorithms, knowledge representation, expert systems, and AI applications.

This Artificial Intelligence syllabus is mapped to the Bachelor of Computer Applications (BCA) curriculum followed at Government Engineering College Visakhapatnam (GECV), a government institution in Visakhapatnam, accredited by NAAC A+ & NBA & AICTE. Students at GECV can use the unit-wise topics, PYQs and exam tips below to prepare for their Semester 6 CS 601 examination.

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4
Units
📝
25
Topics
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4
Credits
⏱️
60h
Lecture hrs
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100
Max marks
Your Progress
0 / 25 topics
0% complete
Overview
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Why it matters
AI is transforming everything. From ChatGPT to self-driving cars to medical diagnosis — AI is the future. Understanding intelligent agents, search, and reasoning is foundational to building smart systems.
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Placement relevance
AI/ML Engineer roles at top companies. Research positions. Robotics companies. Builds on ML knowledge. Growing field with ₹25-60 LPA salaries for AI specialists.
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Prerequisites for
Natural Language Processing · Computer Vision · Robotics · Expert Systems · AI Research · Reinforcement Learning
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Recommended books
Artificial Intelligence: A Modern Approach by Russell and Norvig · Artificial Intelligence by Elaine Rich and Kevin Knight · Introduction to Artificial Intelligence by Wolfgang Ertel
Curriculum — 4 Units
U1
Unit 1 · 7 Topics · 0% complete
Search & Problem Solving
⚡ Key Formulae
A* Evaluation:f(n) = g(n) + h(n), where g=cost, h=heuristic
Admissible Heuristic:h(n) ≤ actual cost to goal (never overestimate)
Intelligent Agents
Problem Formulation
Uninformed Search (BFS, DFS, DLS)
Informed Search (A*, Greedy)
Heuristic Functions
Adversarial Search
Minimax, Alpha-Beta Pruning
U2
Unit 2 · 7 Topics · 0% complete
Knowledge Representation
⚡ Key Formulae
Modus Ponens:If P→Q and P, then Q
Resolution:CNF conversion, resolve complementary literals
First-Order Logic
Propositional Logic
Knowledge Base
Inference Rules
Resolution
Semantic Networks
Frames
U3
Unit 3 · 6 Topics · 0% complete
Expert Systems & Planning
⚡ Key Formulae
Bayes Theorem:P(A|B) = P(B|A)×P(A) / P(B)
Expert Systems
Forward Chaining
Backward Chaining
STRIPS Planning
Partial Order Planning
Uncertainty (Bayesian)
U4
Unit 4 · 5 Topics · 0% complete
Advanced AI
⚡ Key Formulae
Fuzzy Membership:μ(x) ∈ [0,1] (degree of membership)
Fuzzy Logic
Neural Networks Basics
Genetic Algorithms
Natural Language Processing Basics
Computer Vision Basics
Previous Year Questions
Unit 12023 · End Semester10 marks
Apply A* search algorithm to find path from S to G. Given graph with nodes, edges, and heuristic values. Show open list, closed list at each step.
Unit 32022 · End Semester8 marks
Design a simple expert system for medical diagnosis using forward chaining. Given symptoms and rules, show inference process.
Exam Strategy
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Search algorithms = step-by-step
A*, BFS, DFS questions need each step shown: open list, closed list, node expansion. Draw search tree. Missing steps = lost marks.
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Understand heuristics
Know difference between admissible and consistent heuristics. A* needs admissible h(n). Practice Manhattan distance, Euclidean distance.
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Minimax for games
Game tree problems: Show minimax values at each node. Alpha-beta pruning: mark pruned branches. Common in every exam.
Related Subjects
Semester 5
Machine Learning
CS 501
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