Artificial Intelligence Lab (MCA)

Programs on search algorithms, knowledge representation and basic machine learning in Python.

6 MonthsDuration 6Chapters18Topics

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Syllabus · पाठ्यक्रम

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01Exp Group 1: Python for AI 3 topics

Lists, tuples, dictionaries and functions
NumPy arrays and pandas data frames
Plotting with matplotlib

02Exp Group 2: Uninformed Search 3 topics

Water jug problem using BFS
Missionaries and cannibals
DFS and depth-limited search

03Exp Group 3: Informed Search 3 topics

8-puzzle with A* search
Best-first search
Hill climbing for 8-Queens

04Exp Group 4: Game Playing 2 topics

Tic-tac-toe with minimax
Alpha-beta pruning

05Exp Group 5: Knowledge Representation and Reasoning 3 topics

Family tree using facts and rules (Prolog / Python)
Forward and backward chaining
Unification of predicates

06Exp Group 6: Machine Learning Basics 4 topics

Linear regression
Decision tree classifier on the Iris data set
k-means clustering
Accuracy and confusion matrix

About

You will be able to

Write Python programs using lists, dictionaries, functions and libraries such as NumPy and pandas
Implement uninformed searches (BFS, DFS) for state-space problems
Implement informed searches such as A* and hill climbing
Write game-playing programs using minimax and alpha-beta pruning
Represent knowledge with rules and facts and perform simple inference
Train and evaluate basic machine learning models with scikit-learn

Who it is for

MCA students of Semester 3 (AKTU, Lucknow)
Students who want practical exposure to AI and machine learning programming

What you need

Artificial Intelligence theory (studied alongside)
Basic Python; lab computer with Python, Jupyter and scikit-learn (provided at the centre)

Questions

Which syllabus does this Artificial Intelligence Lab course follow?

It follows the AKTU (Lucknow) MCA syllabus for Semester 3. If your own university's syllabus differs, the centre follows your university's syllabus and unit order.

What happens in the lab exam?

You perform one or two experiments given by the examiner, show the output, submit the lab record and answer viva questions.

Do I need a powerful laptop?

No. All experiments use small data sets and run on any normal laptop with Python installed.