Best Coaching Classes in Pune for B.C.A. - Science (BCA)

Course Objectives:

The syllabus aims in equipping students with

·         To understand fundamentals of object-oriented programming in Java, including defining classes,

·         Invoking methods, using class libraries, etc.

·         To handle abnormal termination of a program using exception handling

·         To use the Java SDK environment to create, debug and run simple Java program

UNIT I         Introduction to Java

·         Basics of Programming Language

·         History and Features of Java

·         JDK,JRE,JIT and JVM

·         Naming Convention

·         Simple java program

·         Java IDE –Eclipse/ NetBeans (Note: For Lab Demonstration)

·         Introduction to Java

·         Data Types

·         Variable: final, static, abstract

·         Types of Comments

·         Array: 1D, 2D, Dynamic array using Vector

·         Accepting input using Command line argument

·         Accepting input from console (Using BufferedReader and Scanner class)

UNIT II      Usage of Objects and Classes

·         Defining Your Own Classes

·         Access Specifiers (public, protected, private, default/friendly)

·         Array of Objects

·         Constructors, Overloading Constructors and use of „this‟ Keyword

·         Predefined classes

·         String class (Basic Functions)

·         StringBuffer class

·         Wrapper class

·         Inner classes, Nested classes, local classes, Anonymous classes(Anonymousobject)

·         Introduction to Packages : Creation, Access and use

·         Garbage Collection (finalize() Method)

UNIT III  Inheritance and Interface

·         Inheritance Basics (extends Keyword)

·         Types of Inheritance

·         use of ‘super’ Keyword

·         Usage of final keyword related to method and class

·         Usage of abstract class and abstract methods

·         Interface: Defining and Implementing Interfaces

·         Runtime polymorphism using interface

UNIT IV    Collection

·         Collection interface

·         Collection framework

·         Collection interfaces & classes-ArrayList, LinkedList, HashSet,TreeSet

·         Iterator and Enumaration, Hash Table.Vector.

UNIT V       Exception Handling and I/O

·         Exception handling fundamentals

·         Exception types

·         Exception class

·         Checked exception

·         Unchecked exception

·         Creating user defined exception

·         Uncaught exceptions

·         Assertions

·         Introduction to Java.io package

·         Byte streams

·         Character streams

·         File IO basics

·         Object serialization – Reader and Writer

UNIT VI    Swing , Applet programming

·         MVC(Model View Controller) Architecture

·         Swing components : JFrame, JPanel, JButton, JcheckBox, JtextField,

·         JRadioButton, JLabel, JList, JDialog, JFileChooser, JColorChooser,JMenu

·         Applet fundamentals, Applet lifecycle, Creating and running applets

·         Applets: Event Handling using applets.

UNIT VII                        Database Programming

·         Introduction to JDBC: Architecture (2-tier, 3-tier)

·         JDBC Drivers

·         Connectivity with PostgreSQL: basic steps

·         JDBC statement: Statement, PreparedStatement, CallableStatement

·         JDBC ResultSet and types

·         JDBC Metadata – ResultSetMetaData, DatabaseMetaData

UNIT VIII                     Servlets

·         Introduction to Servlet and Servlet types

·         Lifecycle of servlet

·         Handing HTTPRequest and HTTPResponse

·         HttpServlet:

·         Reading form data from servlet

·         Servlet – Database communication

·         Session tracking –User Authorization, URL Rewriting, Hidden Form fields,

·         Cookies and HttpSession

UNIT IX   Java Server Pages (JSP)

·         Introduction to JSP

·         Life cycle of JSP

·         Implicit Objects

·         Scripting elements –Declarations, Expressions, Scriplets, Comments

·         JSP Directives – Page Directive, include directive

·         Basic JSP program

·         Mixing Scriplets and HTML

·         Example of forwarding contents from database to servlet, servlet to JSP and

·         displaying it using JSP scriplet tag

Objectives -:

·         To know & understand concepts of internet programming.

UNIT I         Introduction to Object Oriented Programming in PHP

1.1 Classes

1.2 Objects

1.3 Encapsulation

1.4 Constructor and Destructor

1.5 Inheritance

1.6 Interfaces

1.7 Introspection

UNIT II      Web Techniques

2.1 Super global Variables

2.2 Server information

2.3 Sticky forms

2.4 File Uploads

2.5 Setting response headers

2.6 Maintaining state

2.6.1. Session and Cookies

UNIT III  Files and Directories

3.1 Working with files and directories

3.2 Opening and Closing

3.3 Getting information about file

3.4 Reading and writing characters in file

3.5 Rename and delete files

3.6 Random access to file data

3.7 Getting information on file

3.8 Ownership and permissions

UNIT IV    Databases(Postgresql)

4.1 Using PHP to access/insert/update/delete a database tables

4.2 Relational databases and SQL

4.3 Introduction to PEAR DB basics (No assignments)

4.4 Advanced database techniques

4.5 Simple applications

UNIT V       XML

5.1 What is XML?

5 5.2 XML document Structure

5.3 PHP and XML

5.4 XML parser

5.5 The document object model

5.6 The simple XML extension

5.7 Changing a value with simple XML

UNIT VI    Ajax

6.1 Understanding java scripts for AJAX

6.2 AJAX web application model

6.3 AJAX –PHP framework

6.4 Performing AJAX validation

6.5 Handling XML data using php and AJAX

6.6 Connecting database using php and AJAX

UNIT VII                        Introduction to Web Services

7.1. SOAP

7.2. WSDL

7.3. Application of web services

Pre-requisites (if any) :

·         Basic concepts of Software Engineering

Course Objectives:

·         To understand the basic of quality software and quality factors.

·         To understand software quality architecture and component.

·         3. To understand software project life cycle, infrastructure and software quality standards.

UNIT I         Introduction to Software Quality.

1.1. Uniqueness of software quality assurance

1.2. Software, Software errors, Faults and Failures

1.3. Classification of the causes of software errors

1.4. Software quality, Software quality assurance and software

engineering

UNIT II      Software Quality Architecture and Components

2.1. The need for comprehensive software quality requirements

2.2. Classifications of software requirements into software qualityfactors

2.2.1. Product Operation

2.2.2. Product Revision

2.2.3. Product Transition

2.3. Parties interested in the definition of quality requirements.

2.4. SQA architecture

2.5. Software Quality Components

2.5.1. Pre-project components

2.5.2. Software project life cycle components

2.5.3. Infrastructure components for error prevention andimprovement

2.6. Management SQA components

UNIT III  Project Life Cycle.

3.1. Classic and other software development methodologies

3.2. Factors affecting intensity of quality assurance activities in thedevelopment process

3.3. Verification, validation and qualification

3.4. A model for SQA defect removal effectiveness and cost

3.5. Demonstration of CASE study and CASE tools

3.5.1. What is a CASE tool?

3.5.2. The contribution of CASE tools to software product quality

3.5.3. The contribution of CASE tools to software maintenancequality

3.5.4. The contribution of CASE tools to improved projectManagement

UNIT IV    Software Quality Infrastructure Components

4.1. Procedures and work instructions –

4.1.1. Need

4.1.2. Procedures manuals

4.1.3. work instruction manuals

4.1.4. Procedures and work instructions: preparation,implementation and updating

4.2. Supporting Quality devices

4.2.1. Templates

4.2.2. Checklists

4.3. Configuration management –

4.3.1. Software configuration, its items and its management

4.3.2. Software configuration management – tasks andorganization

4.3.3. Software change control

4.3.4. Release of software configuration versions

4.3.5. Provision of SCM information services

4.3.6. Software configuration management audits

4.3.7. Computerized tools for managing software configuration

UNIT V       Software quality metrics

5.1. Objectives of quality measurement

5.2. Classification of software quality metrics

5.3. Process metrics

5.4. Product metrics

5.5. Implementation of software quality metrics

5.6. Limitations of software metrics

UNIT VI    Software Quality Standards, certification and assessment

6.1. Quality management standards

6.1.1. The scope of quality management standards

6.1.2. ISO 9001 and ISO 9000-3

6.1.3. Certification according to ISO 9000-3

6.1.4. Capability Maturity Models – CMM and CMMIassessment methodology

6.1.5. The Bootstrap methodology

6.1.6. The SPICE project and the ISO/IEC 15504 softwareprocess assessment standard

6.2. Project process standards

6.2.1. Structure and content of IEEE software engineeringstandards

6.2.2. IEEE/EIA Std 12207 – software life cycle processes

6.2.3. IEEE Std 1012 – verification and validation

6.2.4. IEEE Std 1028 – reviews

Pre-requisites :

·         Knowledge of fundamentals of Computer Organization

Course Objectives:

·         To understand the objectives, structure and functions of operating system

·         To learn about concept of processes, threads and its scheduling algorithms

·         To understand design issues in process synchronization and deadlock management

·         To study various memory management schemes

·         To learn about concept file and I/O management in detail.

·         Demonstrate ability to use top-down program design

UNIT I         Introduction to Operating System Concepts

1.1 Operating System Objectives and Functions –

Definition of Operating System ,Role and Objectives ofOperating System, Operating System as a User View andSystem View

1.2 Evolution Of Operating Systems – Batch Operating System,Multi-Programming Operating System ,Time-SharingOperating System, Desktop Operating Systems, Real-Time

Operating System, Distributed Operating System, ParallelSystems, Multimedia Systems, Handheld Systems

1.3 Computer System Architecture – Single-Processor Systems,Multi-Processor Systems, Clustered Systems

1.4 Operating System Operations- Dual-Mode And Multimode Operation, Timer

1.5 Operating System as Resource Management- ProcessManagement, Memory Management, Storage Management(File system ,Mass storage ,Caching I/O systems), ProtectionAnd Security

1.6 Computing Environment-Traditional Computing, ClientServer Computing, Peer To Peer Computing, Virtualization,Cloud Computing

UNIT II     System structure

2.1 Operating System Services

2.2 System Calls Concepts

2.3 Types of system Calls- Process Control, File Management, Device Management, Information Maintenance, Communication, Protection

2.4 System Programs

2.5 System Boot

UNIT III  Process and Thread Management

3.1 Process Concept – Process , Process Model , Process ControlBlock

3.2 Operations on Process – Process creation , Process Termination

3.3 Process Scheduling – Scheduling queues, Schedulers, Contextswitch

3.4 Inter Process Communication –Cooperating Process, SharedMemory Systems, Message Passing Systems

3.5 Overview of Threads

3.6 Concept of Multithreaded Programming and MulticoreProgramming

3.7 Types of threads – User and Kernel

3.8 Multithreading Models – Many to One , One to Many, Many toMany

UNIT IV   Process Scheduling

4.1 Basic Concept – CPU-I/O burst cycle, CPU scheduler,Preemptive scheduling, Dispatcher

4.2 Scheduling Criteria

4.3 Scheduling Algorithms – FCFS, SJF, Priority scheduling,

Round-robin scheduling, Multiple queue scheduling, Multilevelfeedback queue scheduling

UNIT V      Process Synchronization

5.1 Background – Problems with Concurrency , Race Condition

5.2 Critical Section Problem – Peterson‟s Solution(for two process)

5.3 Semaphores: Usage, Implementation

5.4 Classic Problems of Synchronization – Producer Consumer

problem, Reader Writer problem, Dining Philosopher Problem

UNIT VI   Deadlocks

6.1 System Model

6.2 Deadlock Characterization – Necessary Conditions, ResourceAllocation Graph

6.3 Deadlock Prevention

6.4 Deadlock Avoidance – Safe State, Resource Allocation GraphAlgorithm, Banker‟s Algorithm

6.5 Deadlock Detection

6.6 Recovery From Deadlock – Process Termination, ResourcePreemption

UNIT VII                       Memory Management

7.1 Background – Basic Hardware, Address Binding, LogicalVersus Physical Address Space, Dynamic Loading, DynamicLinking and Shared Libraries, Overlays

7.2 Swapping

7.3 Contiguous Memory Allocation – Memory Mapping andProtection, Memory Allocation, Fragmentation

7.4 Paging – Basic Method, Hardware Support, Protection, Shared

7.5 Segmentation – Basic Concept, Hardware

7.6 Virtual Memory Management – Background, Demand Paging

7.7 Page Replacement Algorithms – FIFO, OPT, LRU, SecondChance Page Replacement, LFU, MFU.

7.8 Thrashing – Cause of thrashing , Working-set Model

UNIT VIII                    File System

8.1 File concept

8.2 Access Methods – Sequential, Direct, Other access methods

8.3 Directory and Disk Structure – Storage structure, Directoryoverview, Single level directory, Two level directory, Treestructure directory, Acyclic graph directory, General graphdirectory

8.4 Allocation Methods – Contiguous allocation, Linked allocation,Indexed allocation

8.5 Free Space Management – Bit vector, Linked list, Grouping,Counting, Space maps

UNIT IX  I/O Systems and Disk Management

9.1 I/O Hardware – polling, interrupts, DMA

9.2 Application I/O Interface – block and character devices,network devices, clocks and timers, blocking and non blockingI/O

9.3 Kernel I/O subsystems – (I/O scheduling, buffering, caching,spooling and device reservation, error handling)

9.4 Disk Structure

9.5 Disk Scheduling – Disk Performance Parameters, Schedulingalgorithms(FCFS, SSTF, SCAN,C-SCAN,LOOK,C-LOOK)

Pre-requisites :

·         Knowledge of Set Theory

Course Objectives:

·         To learn the concept of soft computing.

·         2. Understand different soft computing techniques like Genetic Algorithms, Fuzzy Logic ,Neural Networks and their combination.

UNIT I         Introduction to Soft Computing

1.1 History of Soft Computing

1.2 Brief Introduction to Neural Networks, GeneticAlgorithms and Fuzzy Systems

1.3 Applications of Soft Computing

UNIT II     Fundamentals of Fuzzy Systems

2.1 Fuzzy sets: Basic Definition and Terminology

2.2 Member Functions

2.3 Fuzzy Logic and Relations

2.4 Extension Principle and its problems

UNIT III  Fundamentals of Evolutionary Computing

3.1 Evolutionary Algorithms

3.2 Encoding

3.3 Operators of genetic Algorithms and its problems

UNIT IV   Fundamental of Neural Network

4.1 Introduction

4.2 Model of Artificial Neuron

4.3 Architectures

4.4 Learning Methods (Supervised and Unsupervised)

4.5 Perceptron and Back-propagation

Course Objectives:

·         The objective of this course is to understand the Android Operating System and

·         develop applications using Google’s Android open-source platform.

UNIT I                     Introduction to Android

1.1. Overview

1.2. History

1.3. Features of Android

1.4. Architecture of Android

•         Overview of Stack

•         Linux Kernel

•         Native Libraries

•         Android Runtime

•         Application Framework

•         Applications

1.5. SDK Overview

•         Platforms

•         Tools – (JDK, SDK, Eclipse/Android Studio, ADT,AVD, Android Emulator)

•         Versions

1.6. Creating your first Android Application

UNIT II                  Activities, Fragments and Intents

2.1. Introduction to Activities

2.2. Activity Lifecycle

2.3. Introduction to Intents

2.4. Linking Activities using Intents

2.5. Calling built-in applications using Intents

2.6. Introduction to Fragments

2.7. Adding Fragments Dynamically

2.8. Lifecycle of Fragment

2.9. Interaction between Fragments

UNIT III              Android User Interface

3.1 Understanding the components of a screen

•         Views and ViewGroups

•         LinearLayout

•         AbsoluteLayout

•         TableLayout

•         RelativeLayout

•         FrameLayout

•         ScrollLayout

•         ScrollView

3.2. Adapting to Display Orientation

•         Anchoring Views

•         Resizing and Repositioning

3.3. Managing Changes to Screen Orientation

•         Persisting State Information during Changes inConfiguration

•         Detecting Orientation Changes

•         Controlling the Orientation of the Activity

3.4. Utilizing Action Bar

•         Adding Action Items to the Action Bar

•         Customizing the Action Items and Application Icon

UNIT IV                Designing Your User Interface with Views

4.1. Using Basic Views

•         TextView

•         Button, ImageButton, EditText, CheckBox

•         ToggleButton, RadioButton, and RadioGroup Views

•         ProgressBar View

•         AutoCompleteTextView View

4.2. Using Picker Views

•         TimePicker View

•         DatePicker View

4.3. Using List Views to Display Long Lists

•         ListView View

•         Using the Spinner View

4.4. Understanding Specialized Fragments

•         Using a ListFragment

•         Using a DialogFragment

•         Using a PreferenceFragment.

UNIT V                   Displaying Pictures and Menus

5.1. Using Image Views to Display Pictures

•         Gallery and ImageView views

•         Image Switcher

•         Grid View

5.2. Using Menus with Views

•         Creating the helper methods

•         Options Menu

•         Context Menu

UNIT VI                Databases – SQLite

6.1. Introduction to SQLite

6.2. SQLiteOpenHelper and SQLiteDatabase

6.3. Creating , opening and closing database

6.4. Working with cursors, Insert, Update, Delete

6.5. Building and executing queries

UNIT VII            Messaging and E-mail

7.1. SMS Messaging

•         Sending SMS Messages Programmatically

•         Getting Feedback after Sending a Message

•         Sending SMS Messages Using Intent

•         Receiving SMS Messages

•         Caveats and Warnings

7.2. Sending E-mail

UNIT VIII         Location-Based Services and Google Map

8.1. Display Google Maps

•         Creating the project

•         Obtaining the Maps API Key

•         Displaying the Map

•         Displaying the Zoom Control

•         Changing Views

•         Navigating to a specific location

•         Adding Markers

•         Getting the location that was touched

•         Geocoding and Reverse Geocoding

8.2. Getting Location Data

8.3. Monitoring a Location

Course Objectives:

•          To introduce various concepts of programming to the students using Python.

•          Students should be able to apply the problem solving skills using Python

UNIT I                     Introduction to Python Scripting

•          Why Scripting is Useful in Computational Science

•          Classification of Programming Languages

•          Productive Pairs of Programming Languages

•          Gluing Existing Applications

•          Scripting Yields Shorter Code, Efficiency

•          Type-Specification (Declaration) of Variables

•          Flexible Function Interfaces

•          Interactive Computing

•          Creating Code at Run Time

•          Nested Heterogeneous Data Structures

•          GUI Programming

•          Mixed Language Programming

•          When to Choose a Dynamically Typed Language

•          Why Python? Script or Program?

•          Application of Python

•          Concept (immutable)

UNIT II                  Basic Python

•          Python identifiers and reserved words

•          Lines and indentation, multi-line statements

•          Comments

•          Input/output with print and input functions,

•          Command line arguments and processing command linearguments

•          Standard data types – basic, none, Boolean (true & False),numbers

•          Python strings

•          Data type conversion

•          Python basic operators (Arithmetic, comparison,assignment, bitwise logical)

•          Python membership operators (in & not in)

•          Python identity operators (is & is not)

•          Operator precedence

•          Control Statements, Python loops, Iterating by

•          subsequence index, loop control statements (break,continue, pass)

•          Mathematical functions and constants (import math),Random number functions

UNIT III              Python strings

•          Concept, escape characters

•          String special operations

•          String formatting operator

•          Single quotes, Double quotes, Triple quotes

•          Raw String, Unicode strings, Built-in String methods.

•          Python Lists – concept, creating and accessing elements,updating & deleting lists, basic list operations, reverse

•          Indexing, slicing and Matrices

•          built-in List functions

•          Functional programming tools – filter(), map(), and reduce()

•          Using Lists as stacks and Queues, List comprehensions

UNIT IV                Python tuples and sets

•          Creating & deleting tuples

•          Accessing values in a tuple

•          Updating tuples, delete tuple elements

•          Basic tuple operations

•          Indexing, slicing and Matrices, built- in tuple functions.

•          Sets – Concept, operations.

UNIT V                   Python Dictionary

•          Concept (mutable)

•          Creating and accessing values in a dictionary

•          Updating dictionary, delete dictionary elements

•          Properties of dictionary keys

•          built-in dictionary functions and methods.

UNIT VI                Functions

•          Defining a function (def)

•          Calling a function

•          Function arguments – Pass by value, Keyword Arguments,default arguments

•          Scope of variable – basic rules

•          Documentation Strings

•          Variable Number of Arguments

•          Call by Reference

•          Order of arguments (positional, extra & keyword)

•          Anonymous functions

•          Recursion

•          Treatment of Input and Output Arguments

•          Unpacking argument lists

•          Lambda forms

•          Function Objects

•          function ducktyping& polymorphism

•          Generators (functions and expressions) and iterators, list

•          comprehensions

UNIT VII            Files and Directories

•          Creating files

•          Operations on files (open, close, read, write)

•          File object attributes, file positions, Listing Files in aDirectory

•          Testing File Types

•          Removing Files and Directories

•          Copying and Renaming Files

•          Splitting Pathnames

•          Creating and Moving to Directories

•          Traversing Directory Trees

UNIT VIII         Python Classes / Objects

•          Object oriented programming and classes in Python -creating classes, instance objects, accessing members

•          Data hiding (the double underscore prefix)

•          Built-in class attributes

•          Garbage collection : the constructor

•          Overloading methods and operators

•          Inheritance – implementing a subclass, overriding methods

•          Recursive calls to methods

•          Class variables, class methods, and static methods

•          Illustrative programs: word count, copy file

UNIT IX               Python Exceptions

•          Exception handling : assert statement

•          Except clause – with no exceptions and multiple exceptions

•          Try – finally, raising exceptions, user-defined exceptions.

Course Objectives:

•          Able to apply fundamental algorithmic ideas to process data.

•          Learn to apply hypotheses and data into actionable Predictions.

UNIT I                     Introduction to data Science

·         Basics of Data

·         What is Data Science?

·         Data science process

·         Stages in data science project

·         Basics of Data Analytics

·         Types of Analytics – Descriptive, Predictive, Prescriptive

·         Statistical Inference

·         Populations and samples

·         Statistical modeling,

·         Probability

·         Distribution

·         Correlation

·         o Regression

UNIT II                  Introduction to Machine Learning

·         Basics of Machine Leaning

·         Supervised Machine Learning

·         K- Nearest-Neighbors,

·         Naïve Bayes

·         Decision tree

·         Support Vector Machines

·         Unsupervised Machine Learning

·         Cluster analysis

·         K means

·         Association Rule Mining

·         Apriori algorithms

·         Regression Analysis

·         Linear Regression

·         Nonlinear Regression

UNIT III              Data Analytics with Python Programming

·         Numpy

·         Arrays

·         Array indexing

·         Datatypes

·         Array math

·         Broadcasting

·         SciPy

·         Image operations

·         Distance between points

·         Importing Data , Creating A DataFrame,

·         DataFrame Methods,

·         Indexing DataFrames, Boolean Indexing

·         Indexing Using Labels , Multi-Indexing

·         Merge DataFrames

·         Sorting DataFrames

·         Apply Function

·         Pivot Table, Crosstab

·         Iterating over rows of a dataframe

UNIT IV                Data Visualization

·         Basic principles,

·         Ideas and tools for data visualization

·         Graph Visualization,

·         Data Summaries,

·         Model Checking & Comparison

·         Purpose of visualization

·         Multidimensional visualization

·         Tree visualization

·         Graph visualization

·         Visualization techniques

·         Understanding analytics output and their usage

·         Scikit package

·         matplotlib library

·         Plotting

·         Subplots

·         Images