Syllabus of B. Tech. III Sem AIML (RGPV)

• AL-301 Technical Communication

• AL-302 Introduction to Probability and Statistics

• AL-303 Data Structures

• AL-304 Artificial Intelligence

• AL-305 Object Oriented Programming & Methodology

• AL-306 Computer Workshop/Introduction to Python-I

​Syllabus of AL-301 Technical Communication

Source: (rgpv.ac.in)

Unit-1 : Technical Communication Skills

• Understanding the process and scope of Communication

• Relevance & Importance of Communication in a Globalized world

• Forms of Communication

• Role of Unity Brevity and Clarity in various forms of communication

Unit-2 : Types of Communication

• Verbal & Non-verbal Communication

• Classification of NVC

• Barriers to Communication

• Communicating Globally

• Culture and Communication.

• Soft Skills: Interpersonal Communication

• Listening Persuasion Negotiation

• Communicating bad news/messages

• communicating in a global world.

Unit-3 : Writing Skills

• Traits of Technical Writing

• Principles of Business Writing

• Style of Writing Writing Memos

• Letters Reports and Types of technical reports

• Characteristics format and structure of technical reports

• Writing Research Papers.

• Speaking Skills: Audience-awareness Voice Vocabulary and Paralanguage

• Group Discussion Combating Nervousness

• Speaking to one and to one thousand

• Mock Presentations.

Unit-4 : Job Interviews

• Preparing for interviews assessing yourself

• Drafting Effective Resume Dress decorum and Delivery techniques

• Techniques of handling interviews

• Use of Nonverbals during Interviews

• Handling turbulence during interviews.

• Group Discussion: Objective Method Focus Content

• Style and Argumentation skills.

• Professional Presentations: Individual Presentations (Audience Awareness

• Body Language

• Delivery and Content of Presentation.

Unit-5 : Grammar & Linguistic ability

• Basics of grammar

• common error in writing and speaking

• Study of advanced grammar

• Vocabulary Pronunciation Etiquette Syllables

• Vowel sounds Consonant sounds

• Tone: Rising tone Falling Tone

• Flow in Speaking Speaking with a purpose

• Speech & personality

• Professional Personality Attributes

== END OF UNITS==

Syllabus of AL–302 Introduction to Probability and Statistics

Source: (rgpv.ac.in)

Unit-1 : Basic Probability

• Probability spaces conditional probability independence;

• Discrete random variables Independent random variables

• the multinomial distribution

• Poisson approximation to the binomial distribution

• infinite sequences of Bernoulli trials

• sums of independent random variables;

• Expectation of Discrete Random Variables

• Moments Variance of a sum

• Correlation coefficient

• Chebyshev’s Inequality.

Unit-2 : Continuous Probability Distributions

• Continuous random variables and their properties

• distribution functions and densities

• normal exponential and gamma densities.

Unit-3 : Bivariate Distributions

• Bivariate distributions and their properties

• distribution of sums and quotients

• conditional densities

• Bayes’ rule.

Unit-4 : Basic Statistics

• Measures of Central tendency: Moments skewness and Kurtosis –

• Probability distributions: Binomial

• Poisson and Normal – evaluation of statistical parameters for these three distributions

• Correlation and regression – Rank correlation.

Unit-5 : Applied Statistics

• Curve fitting by the method of least squares- fitting of straight lines

• second degree parabolas and more general curves.

• Test of significance: Large sample test for single proportion

• difference of proportions

• single mean difference of means and difference of standard deviations.

Unit-6 : Small samples

• Test for single mean difference of means and correlation coefficients

• test for ratio of variances – Chi-square test for goodness of fit and independence of attributes.

== END OF UNITS==

Syllabus of AL–303 Data Structures

Source: (rgpv.ac.in)

Unit-1 : Introduction to Data Structure

• Concepts of Data and Information

• Classification of Data structures

• Abstract Data Types

• Implementation aspects: Memory representation.

• Data structures operations and its cost estimation.

• Introduction to linear data structures- Arrays

• Linked List: Representation of linked list in memory

• different implementation of linked list. Circular linked list doubly linked list etc.

• Application of linked list: polynomial manipulation using linked list etc.

Unit-2 : Stacks and Queue

• Stacks as ADT Different implementation of stack multiple stacks.

• Application of Stack: Conversion of infix to postfix notation using stack

• evaluation of postfix expression

• Recursion. Queues: Queues as ADT

• Different implementation of queue Circular queue

• Concept of D queue and Priority Queue Queue simulation Application of queues.

Unit-3 : Tree

• Definitions – Height depth order degree etc.

• Binary Search Tree – Operations Traversal Search.

• AVL Tree Heap

• Applications and comparison of various types of tree;

• Introduction to forest multi-way Tree B tree B+ tree B* tree and red-black tree.

Unit-4 : Graphs

• Introduction

• Classification of graph: Directed and Undirected graphs etc

• Representation Graph Traversal: Depth First Search (DFS) Breadth First Search (BFS)

• Graph algorithm: Minimum Spanning Tree (MST)-Kruskal Prim’s algorithms.

• Dijkstra’s shortest path algorithm; Comparison between different graph algorithms.

• Application of graphs.

Unit-5 : Sorting

• Introduction

• Sort methods like: Bubble Sort Quick sort.

• Selection sort Heap sort Insertion sort Shell sort Merge sort and Radix sort;

• comparison of various sorting techniques.

• Searching: Basic Search Techniques: Sequential search Binary search

• Comparison of search methods.

• Hashing & Indexing.

• Case Study: Application of various data structures in operating system DBMS etc.

== END OF UNITS==

Syllabus of AL-304 Artificial Intelligence

Source: (rgpv.ac.in)

Unit-1 :

• Fundamental of Artificial Intelligence history

• motivation and need of AI

• Production systems Characteristics of production systems

• goals and contribution of AI to modern technology

• search space different search techniques: hill Climbing Best first Search heuristic search algorithm A* and AO* search techniques etc.

UNIT-2 :

• Knowledge Representation Problems in representing knowledge

• knowledge representation using propositional and predicate logic

• comparison of propositional and predicate logic

• Resolution refutation deduction

• theorem proving inferencing

• monotonic and non-monotonic reasoning.

UNIT-3 :

• Probabilistic reasoning

• Baye’s theorem

• semantic networks scripts schemas frames

• conceptual dependency

• forward and backward reasoning.

UNIT-4 :

• Game playing techniques like minimax procedure alpha-beta cut-offs etc

• planning Study of the block world problem in robotics

• Introduction to understanding

• natural language processing (NLP)

• Components of NLP

• application of NLP to design expert systems.

UNIT-5 :

• Expert systems (ES) and its Characteristics requirements of ES

• components and capability of expert systems

• Inference Engine Forward & backward Chaining

• Expert Systems Limitation

• Expert System Development Environment technology

• Benefits of Expert Systems.

== END OF UNITS==

Syllabus of AL-305 Object Oriented Programming & Methodology

Source: (rgpv.ac.in)

Unit-1 :

• Introduction to Object Oriented Thinking & Object Oriented Programming: Comparison with Procedural Programming

• features of Object oriented paradigm– Merits and demerits of OO methodology;

• Object model;

• Elements of OOPS

• IO processing

• Data Type Type Conversion

• Control Statement

• Loops Arrays.

UNIT- 2 :

• Encapsulation and Data Abstraction-

• Concept of Objects: State Behavior & Identity of an object;

• Classes: identifying classes and candidates for Classes Attributes and Services

• Access modifiers

• Static members of a Class Instances

• Message passing and Construction and destruction of Objects.

UNIT-3 :

• Relationships – Inheritance: purpose and its types ‘is a’ relationship;

• Association

• Aggregation.

• Concept of interfaces and Abstract classes.

UNIT-4 :

• Polymorphism: Introduction

• Method Overriding & Overloading

• static and run time Polymorphism.

• Virtual Function friend function Static function

• friend class.

UNIT-5 :

• Strings

• Exceptional handling

• Introduction of Multi-threading and Data collections.

• Case study like: ATM Library management system.

== END OF UNITS==

Syllabus of AL-306 Computer Workshop/Introduction to Python-I

Source: (rgpv.ac.in)

MODULE-1 :

• Introduction to python language

• Basic syntax

• Literal Constants Numbers

• Variable and Basic data types

• String Escape Sequences

• Operators and Expressions Evaluation Order Indentation

• Input Output Functions Comments..

MODULE-2 :

• Data Structure: List Tuples Dictionary

• Data Frame and Sets

• constructing indexing

• slicing and content manipulation

MODULE-3 :

• Control Flow: Conditional Statements – If If-else Nested If-else.

• Iterative Statement – For While Nested Loops.

• Control statements – Break Continue Pass.

MODULE-4 :

• Object oriented programming: Class and Object

• Attributes Methods

• Scopes and Namespaces

• Inheritance

• Overloading Overriding

• Data hiding Exception: Exception Handling Except clause Try finally clause

• User Defined Exceptions.

MODULE-5 :

• Modules and Packages: Standard Libraries: File I/0 Sys logging

• Regular expression Date and Time

• Network programming

• multi-processing and multithreading.

== END OF UNITS==

==End of Syllabus==