Artificial Intelligence (Diploma)

Search techniques, knowledge representation, machine learning basics and AI applications.

6 महीनेअवधि 5Chapters32टॉपिक

अभी पूछताछ करें

सिलेबस · पाठ्यक्रम

Download PDF

01Unit 1: Introduction to AI 6 टॉपिक

Definition and history of AI
Turing test
Narrow, general and super AI
Applications of AI in daily life and industry
Intelligent agents - structure and types
Agent environments - PEAS description

02Unit 2: Problem Solving and Search 7 टॉपिक

State space representation
Water jug and 8-puzzle problems
Breadth First Search and Depth First Search
Heuristic functions
Best-first search and A* algorithm
Hill climbing
Game playing - minimax and alpha-beta pruning

03Unit 3: Knowledge Representation 6 टॉपिक

Knowledge and its types
Propositional logic
Predicate (first-order) logic
Rule-based systems - forward and backward chaining
Semantic networks and frames
Reasoning under uncertainty - basic probability

04Unit 4: Machine Learning Basics 7 टॉपिक

What is machine learning
Supervised, unsupervised and reinforcement learning
Linear regression and classification
Decision tree and k-nearest neighbour
k-means clustering
Training, testing, accuracy and overfitting
Introduction to neural networks

05Unit 5: AI Applications and Ethics 6 टॉपिक

Expert systems - architecture and examples
Natural Language Processing and chatbots
Computer vision and image recognition
Robotics
Generative AI tools
Ethical issues - bias, privacy, job impact

परिचय

आप यह कर पाएँगे

Explain the meaning, history, types and applications of artificial intelligence
Describe intelligent agents and their environments
Solve problems using uninformed search (BFS, DFS) and informed search (best-first, A*)
Represent knowledge using propositional logic, predicate logic, rules and semantic networks
Explain supervised, unsupervised and reinforcement learning and simple ML algorithms
Describe AI applications such as NLP, computer vision, expert systems and chatbots and their ethical issues

यह किसके लिए है

Diploma Computer Science & Engineering students of Semester 5 (BTEUP)
Diploma IT students and beginners who want an introduction to AI

आपको क्या चाहिए

Basic programming knowledge and school-level mathematics (probability basics helpful)

सवाल

Which syllabus is followed?

The BTEUP Diploma Computer Science & Engineering Semester 5 Artificial Intelligence syllabus. Where your college syllabus differs, the centre follows your own syllabus.

Is heavy mathematics needed?

No. Only basic algebra and probability are used; search and ML ideas are explained with simple examples.

Is any coding done?

Small Python examples are shown for search and ML, but the exam focus is theory and solved problems.