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

• AL-701 Computer Vision

• AL-702(A) AI in Gaming (Departmental Elective)

• AL-702(B) Advance Machine Learning (Departmental Elective)

• AL-702 (C) Predictive Analytics (Departmental Elective)

• AL-702(D) Machine Learning for Data Science (Departmental Elective)

• AL-703(A) Compiler Design (Open Elective)

• AL-703(B) Augmented and Virtual Reality (Open Elective)

• AL-703 (C) Agile Software Development (Open Elective)

• AL-703(D) Internet and Web Technology (Open Elective)

• AL-705 Skill Development Lab

​Syllabus of AL-701 Computer Vision

Source: (rgpv.ac.in)

UNIT-1 :

• Introduction to computer vision

• Introduction to images Image Processing VS Computer Vision

• Problems in Computer Vision Basic image operations

• Mathematical operations on images: Datatype Conversion

• Contrast Enhancement Brightness Enhancement

• Bit wise operations: Different Bit wise Operations

UNIT-2 :

• Binary Image Processing

• thresholding Erosion / Dilation

• Overview on Opening and Closing

• Connected Component Analysis

• Contour Analysis

UNIT-3 :

• Image Enhancement and Filtering

• Color Spaces Color Transforms

• Histogram Equalization

• Advanced Histogram Equalization(CLAHE)

• Color Adjustment using Curves

• Image Filtering: Introduction to Image Filtering

• What is Convolution

• Image Smoothing:-Box Blur Gaussian Blur Median Blur

UNIT-4 :

• Introduction to Image Gradients: – First Order Derivative FiltersSecond Order Derivative Filters

• Edge DetectionImage Segmentation and Recognition

• Image Classification

• Object detection

UNIT-5 :

• Applications of Computer Vision: Gesture Recognition

• Motion Estimation and Object Tracking

• face detection

• Deep Learning with Open CV

PRACTICAL:

• Different problems to be framed to enable students to understand the concept learnt and get hands-on on various tools and software related to the subject. Such assignments are to be framed for ten to twelve lab sessions

== END OF UNITS==

Syllabus of AL-702(A) AI in Gaming (Departmental Elective)

Source: (rgpv.ac.in)

UNIT-1 : Introduction

• Introduction to Game AI

• kind of AI used in game development

• model of game AI

• AI engine structure

UNIT-2 : Movement Algorithms and Steering

• Behaviour kinematic movement algorithms

• problems related to the steering behaviour of objects and Solutions.

• Coordinated Movement and Motor Control : This unit discusses the concepts related to coordinated movements and motor control.

UNIT-3 : Path finding

• Basic Path finding Algorithms in game development

• Path finding for complex solutions

UNIT-4 : Decision-Making and Uncertainty

• decision trees and state machines for game development

• models for implementing knowledge uncertainty

• such as fuzzy logic and Markov systems.

UNIT-5 : Introduction to Learning Mechanisms

• Board game theory and discusses the implementation of some key algorithms

• such as mini max and negamax

• Random Number Generation and Mini maxing

• algorithms for implementing action prediction

• decision learning and reinforcement learning.

== END OF UNITS==

Syllabus of AL-702 (B) Advance Machine Learning (Departmental Elective)

Source: (rgpv.ac.in)

UNIT-1 :

• Artificial Neural Network : Introduction to ANN

• Perceptron Cost Function

• Gradient Checking

• multi-layer perceptron and back propagation algorithm that is used to help learn parameters for a neural network

• Random Initialization

UNIT-2 :

• Decision Trees : Representing concepts as decision trees

• Recursive induction of decision trees

• best splitting attribute : entropy and information gain.

• Searching for simple trees and computational complexity

• Over fitting noisy data and pruning.

UNIT-3 :

• Ensemble Methods : Bagging boosting

• stacking and learning with ensembles.

• Random Forest

UNIT-4 :

• Introduction to reinforcement learning(RL) Reinforcement Learning

• RL-framework MDP

• Bellman equations

• Value Iteration and Policy Iteration Actor-critic model

• Q-learning

• SARSABandit algorithms – UCB PACMedian Elimination

• Policy Gradient

• Full RL & MDPs

• Bellman Optimality

UNIT-5 :

• Dynamic Programming – Value iteration Policy iteration and Q-learning & Temporal Difference Methods

• Temporal-Difference Learning Eligibility Traces

• Function Approximation Least Squares Methods

• Fitted Q Deep Q-Learning Advanced Q-learning algorithms

• Inverse reinforcement learning

• Deep Inverse Reinforcement Learning

• Generative Adversarial Imitation Learning

• Recent Trends in RL Architectures

== END OF UNITS==

Syllabus of AL-702 (C) Predictive Analytics (Departmental Elective)

Source: (rgpv.ac.in)

UNIT-1 :

• Introduction Data Product

• Data Product Examples in Enterprise

• Developing a Data Product Strategy.

UNIT-2 :

• Reading Data in Python Reading CSV & JSON Files

• Processing Structured Data in Python

• Live-Coding : JSON Extracting Simple Statistics from Datasets Data Processing in Python Data Filtering and Cleaning

• Processing Text and Strings in Python

• Processing Times and Dates in Python

UNIT-3 :

• Python Libraries and Toolkits Matrix Processing and Numpy

• Introduction to Data Visualization

• Introduction to Matplotlib urllib and BeautifulSoup

UNIT-4 :

• Gradient Descent Classification in Python

• Introduction to Training and Testing

• Gradient Descent in Python

• Gradient Descent in TensorFlow

UNIT-5 :

• Diagnostics for Data Meaningful Predictive modelling

• Regression Diagnostic Over- and Under-Fitting

• Classification Diagnostics : Accuracy and Error

• Classification Diagnostics : Precision and Recall.

• Code base for Evaluation and Validation

• Model Complexity and Regularization

• Evaluating Classifiers for Ranking.

== END OF UNITS==

Syllabus of AL-702(D) Machine Learning for Data Science (Departmental Elective)

Source: (rgpv.ac.in)

UNIT-1 : Introduction

• Algorithms and Machine Learning

• Introduction to algorithms

• Tools to analyze algorithms

• Algorithmic techniques : Divide and Conquer

• examples Randomization Applications

UNIT- 2 : Algorithms

• Graphs maps Map searching

• Application of algorithms : stable marriages example

• Dictionaries and hashing

• search trees

• Dynamic programming

UNIT-3 : Application to Personal Genomics

• Linear Programming NP completeness

• Introduction to personal Genomics

• Massive Raw data in Genomics

• Data science on Personal Genomes

• Inter connectedness on Personal Genomes

• Case studies

UNIT-4 : Machine Learning

• Introduction

• Classification Linear Classification

• Ensemble Classifiers

• Model Selection

• Cross Validation

• Holdout

UNIT-5 : Machine Learning Applications

• Probabilistic modelling

• Topic modelling

• Probabilistic Inference

• Application : prediction of preterm birth

• Data description and preparation

• Relationship between machine learning and statistics

== END OF UNITS==

Syllabus of AL-703(A) Compiler Design (Open Elective)

Source: (rgpv.ac.in)

UNIT-1 :

• Introduction to compiling & Lexical Analysis

• Introduction of Compiler

• Major data Structure in compiler

• types of Compiler

• Front-end and Back-end of compiler

• Compiler structure : analysis-synthesis model of compilation

• various phases of a compiler

• Lexical analysis : Input buffering

• Specification & Recognition of Tokens

• Design of a Lexical Analyzer Generator LEX.

UNIT-2 :

• Syntax Analysis & Syntax Directed Translation Syntax analysis: CFGs Top down parsing

• Brute force approach recursive descent parsing

• transformation on the grammars predictive parsing

• bottom up parsing

• operator precedence parsing LR parsers (SLRLALR LR)

• Parser generation.

• Syntax directed definitions : Construction of Syntax trees

• Bottom up evaluation of S-attributed definition

• L-attribute definition

• Top down translation Bottom Up evaluation of inherited attributes

• Recursive Evaluation Analysis of Syntax directed definition.

UNIT-3 :

• Type Checking & Run Time Environment: Type checking: type system

• specification of simple type checker

• equivalence of expression types type conversion

• overloading of functions and operations

• polymorphic functions.

• Run time Environment : storage organization Storage allocation strategies parameter passing dynamic storage allocation

• Symbol table Error Detection & Recovery

• Ad-Hoc and Systematic Methods.

UNIT-4 :

• Code Generation : Intermediate code generation: Declarations Assignment statements

• Boolean expressions

• Case statements Back patching

• Procedure calls Code Generation : Issues in the design of code generator

• Basic block and flow graphs

• Register allocation and assignment

• DAG representation of basic blocks peephole optimization

• generating code from DAG.

UNIT-5 :

• Code Optimization : Introduction to Code optimization: sources of optimization of basic blocks

• loops in flow graphs dead code elimination loop optimization

• Introduction to global data flow analysis

• Code Improving transformations

• Data flow analysis of structure flow graph

• Symbolic debugging of optimized code.

== END OF UNITS==

Syllabus of AL-703(B) Augmented and Virtual Reality (Open Elective)

Source: (rgpv.ac.in)

UNIT-1 :

• Introduction to Virtual Reality- Virtual Reality and Virtual Environment: Introduction Applications of Virtual Reality

• Computer graphics Real time computer graphics

• Flight Simulation Virtual environment requirement benefits of virtual reality

• Historical development of VR

• Scientific Landmark 3D

• Computer Graphics : Introduction The Virtual world space positioning the virtual observer the perspective projection

• human vision stereo perspective projection

• 3D clipping

• Colour theory Simple 3D modeling

• Illumination models Reflection models

• Shading algorithms

• Radiosity Hidden Surface Removal

• Realism Stereographic image.

UNIT-2 :

• Geometric Modeling- Geometric Modeling: Introduction From 2D to 3D 3D space curves

• 3D boundary representation Geometrical

• Transformations : Introduction Frames of reference Modeling transformations Instances Picking Flying

• Scaling the VE Collision detection Generic VR system: Introduction

• Virtual environment Computer environment VR technology

• Model of interaction VR Systems.

UNIT-3 :

• Virtual Environment -Animating the Virtual Environment: Introduction

• The dynamics of numbers Linear and Nonlinear interpolation

• the animation of objects linear and non-linear translation

• shape & object in between free from deformation

• particle system.

• Physical Simulation: Introduction Objects falling in a gravitational field

• Rotating wheels Elastic collisions

• projectiles simple pendulum springs

• Flight dynamics of an aircraft.

UNIT-4 :

• VR Hardware and Software- Human factors: Introduction

• the eye the ear the somatic senses.

• VR Hardware : Introduction sensor hardware

• Head-coupled displays Acoustic hardware

• Integrated VR systems.

• VR Software : Introduction Modeling virtual world

• Physical simulation VR toolkits

• Introduction to VRML

UNIT-5 :

• Augmented and Mixed Reality- Taxonomy

• Technology and features of augmented reality difference between AR and VR Challenges with AR AR systems and functionality

• Augmented reality methods visualization techniques for augmented reality

• wireless displays in educational augmented reality applications

• mobile projection interfaces

• marker-less tracking for augmented reality

• enhancing interactivity in AR environments

• evaluating AR systems.

== END OF UNITS==

Syllabus of AL-703(C) Agile Software Development (Open Elective)

Source: (rgpv.ac.in)

UNIT-1 :

• Fundamentals of Agile Process : Introduction and background

• Agile Manifesto and Principles

• Stakeholders and Challenges

• Overview of Agile Development Models : Scrum Extreme Programming

• Feature Driven Development Crystal Kanban and Lean Software Development.

UNIT-2 :

• Agile Projects : Planning for Agile Teams: Scrum Teams XP Teams

• General Agile Teams Team Distribution;

• Agile Project Lifecycles: Typical Agile Project Lifecycles

• Phase Activities Product Vision

• Release Planning : Creating the Product Backlog User Stories Prioritizing and Estimating Creating the Release Plan;

• Monitoring and Adapting : Managing Risks and Issues

• Retrospectives.

UNIT-3 :

• Introduction to Scrum : Agile Scrum Framework Scrum Artifacts

• Meetings Activities and Roles

• Scrum Team Simulation Scrum Planning Principles Product and Release Planning

• Sprinting : Planning Execution Review and Retrospective;

• User story definition and Characteristics

• Acceptance tests and Verifying stories Burn down chart

• Daily scrum Scrum Case Study.

UNIT-4 :

• Introduction to Extreme Programming (XP): XP Lifecycle

• The XP Team

• XP Concepts : Refactoring Technical Debt Timeboxing Stories Velocity;

• Adopting XP: Prerequisites Challenges;

• Applying XP: Thinking- Pair Programming Collaborating Release Planning Development;

• XP Case Study

UNIT-5 :

• Agile Software Design and Development: Agile design practices

• Role of design Principles Need and significance of Refactoring

• Refactoring Techniques Continuous Integration

• Automated build tools Version control;

• Agility and Quality Assurance : Agile Interaction Design

• Agile approach to Quality Assurance

• Test Driven Development

• Pair programming : Issues and Challenges.

== END OF UNITS==

Syllabus of AL 703-(D) Internet and Web Technology (Open Elective)

Source: (rgpv.ac.in)

UNIT-1 :

• Introduction : Concept of WWW Internet and WWW

• HTTP Protocol : Request and Response Web browser and Web servers

• Features of Web 2.0 Web Design : Concepts of effective web design Web design issues including Browser

• Bandwidth and Cache Display resolution Look and Feel of the Website

• Page Layout and linking

• User centric design Sitemap Planning and publishing website

• Designing effective navigation.

UNIT-2 :

• HTML : Basics of HTML formatting and fonts

• commenting code color hyperlink lists tables images forms

• XHTML Meta tags

• Character entities frames and frame sets

• Browser architecture and Web site structure.

• Overview and features of HTML5.

UNIT-3 :

• Style sheets : Need for CSS introduction to CSS

• basic syntax and structure

• using CSSbackground images colors and properties

• manipulating texts using fonts borders and boxes margins padding lists positioning using CSS CSS2

• Overview and features of CSS3 JavaScript : Client side scripting with JavaScript variables functions conditions loops and repetition

• Pop up boxes

• Advance JavaScript : Java script and objects JavaScript own objects the DOM and web browser environments

• Manipulation using DOM forms and validations

• DHTML : Combining HTML CSS and JavaScript

• Events and buttons.

UNIT-4 :

• XML : Introduction to XML uses of XML simple XML XML key components

• DTDandSchemas Using XML with application.

• Transforming XML using XSL and XSLT PHP:Introduction and basic syntax of PHP decision and looping with examples

• PHP and HTMLArrays Functions Browser control and detection string

• Form processing Files

• Advance Features : Cookies and Sessions

• Object Oriented Programming with PHP.

UNIT-5 :

• PHP and MySQL : Basic commands with PHP examples

• Connection to server creating database selecting a database listing database

• listing table names creating a table

• inserting data altering tables

• queries deleting database deleting data and tables

• PHP my admin and data base bugs

== END OF UNITS==

Syllabus of AL-705 Skill Development Lab

Source: (rgpv.ac.in)

UNIT-1 : Software product life cycle.

UNIT-2 : Software product development standards.

UNIT-3 : Design patterns – 1

UNIT-4 : Design Patterns – II

UNIT-5 : Case Study

== END OF UNITS==

==End of Syllabus==