Objective

The objective of the 'C' Level course is to develop Project Managers/Consultants/System Specialists/R&D Scientists/Faculty who will be equipped with the knowledge and skills desired to perform the duties of the positions referred above. In order to develop the capabilities, 'C' Level course has been designed to give the students a sound background in latest Technologies, Tools and Techniques in Computer Science and Engineering.

The career options available to a DOEACC "C" level qualifier are:

  • Project Manager
  • IT Consultant
  • R&D Scientist
  • System Specialist
  • Training Faculty

DOEACC 'C' level Course consists of 4 bridge courses, 10 compulsory modules, 2 elective modules and a Dissertation.

Note : Modules C0-R4 to C0-R4 will be exempted for the students who have successfully qualified the DOEACC 'B' Level course or its equivalent course recognized by AICTE/MHRD/UGC on case to case basis. Laboratory / Practical work will be the conducted at institutions /organizations, which are running the course.

Duration

2 years

Eligibility

Level 'B'/ B.Tech./ B.E./ MCA/ M.Sc./ Master's degree in Maths/ Stat/ OR, MBA (or equivalent) with B.Sc./ BA (Maths/ Stat).

Award of Qualification

Students would be eligible for the award of 'C' Level Certificate by DOEACC Society on successfully qualifying in the theory examinations of requisite modules and the project.

Fee

Admission Fee : Rs. 10,000/-

Course Fee

Lumpsum Plan : Rs. 100,000/- x 1
Yearly Plan : Rs. 55,000/- x 2
Semester Plan : Rs. 28,500/- x 4
Quarterly Plan : Rs. 15,000/- x 8

Fee includes Tuition, Lab, Library, Study Material and Internal Examination charges. Service Tax and DOEACC fees to be paid extra as applicable.

Scholarships

The institute provides merit scholarships based on a student's performance in the Internal/DOEACC examinations.

Admissions:

Admission to the course is based on written test/academic performance/interview. A candidate willing to take admission has to apply in the prescribed application form.

Course Outline

Bridge Courses

C0-B1: Elements of Mathematical Sciences
C0-B2: Operating Systems
C0-B3:Data Structure through Java
C0-B4: Computer System Architecture

C1:dvanced Computer Graphics

Basic Background
3D Viewing
Representing Curves and Surfaces
Solid Modeling
Visible Surface Determination
Illumination models & Rendering
Color Models
Introduction to Animation

C2: Advanced Computer Networks
Broadband Wide Area Networking; SDH, Frame Relay and ATM

Cell Relay and ATM Internetworking
Distributed Computing and The NFS
The Next Generation Protocols
Transition to Next Generation Protocols
Quality of Service and Real-Time Application Issues
Multicast
Voice over IP (VoIP)
TDMA and CDMA; Features Compared and Contrasted
Mobile IP; Concepts and Issues
Wireless Application Protocol
Partial Mobility with Wireless Local Loops

C3: Mathematical Methods for Computing

Descriptive statistic
Probability and Probability distributions
Statistical Inference
Non - Parametric Methods
Time series analysis

C4: Advanced Algorithms

Introduction
Greedy Algorithms Divide & Conquer
Algorithms Dynamic Programming
Algorithms Amortized
Analysis Graph Algorithms
String Matching & Sorting
Computational Complexity & Approximate Algorithms

C5: Data Warehousing and Mining

Introduction and Background
Data Warehousing and OLAP
Data Mining Primitives
Concept Description: Characterization and Comparison
Association Analysis
Classification and Predictions
Cluster Analysis
Mining Complex Types of Data
Application of Data Warehousing and Data Mining

Lab I Graphics and Visualization
Lab II Data Network and Management

C6: Multimedia Systems

Introduction
Compression of Multimedia data
Multimedia Systems
Delivery of Multimedia data
Multimedia Information Management
Multimedia Programming Tagging (SMIL)
MIDI
Virtual Reality

C7: Digital Image Processing & Computer Vision

Introduction to Image Processing & Computer Vision
Image Formation
Image Enhancement & Restoration
Color image processing
Wavelets and multi resolution processing
Image Compression
Edge and Boundary Detection
Motion Estimation, Detection & Tracking
Shape Representation and Reconstruction

C8: Information Security

Introduction to Cryptography
Mathematics of Cryptography
Introduction to Number Theory
Conventional Encryption
Pseudo-random Number Generators (PRNGs)
Hash Functions and MAC
Key Establishment and Public-key Cryptography
Integrity and Digital Signature

C9: Soft Computing
Introduction to Soft computing
Regression and Optimization
Neuro-Fuzzy Modeling
Advanced Neuro-Fuzzy Modeling
Neuro-Fuzzy Control
Other Hybrid System

C10: Software Systems

Basic of Software Engineering and Study of Different Life cycle Models
Requirements & Specification
Design Concept and Methods
Object Oriented Methodology for Analysis and Design
Modeling with UML
Testing Object Oriented System and Quality Assurance
Software Architecture
Software Agent

Lab III Image processing & Computer Vision
        +
Multimedia Systems

Lab IV Information Security
        +
Soft Computing

Electives (any two)

Any two theory papers out of five electives are required to be taken in this semester. Project work part-I will be part of main project. Project report submission and presentation will be mandatory.

CE1.1: Digital Signal Processing

Discrete Time Signals & System
Z-Transform
Applications of z-transform
Frequency Analysis of Signals and Systems
Discrete Fourier Transform
Implementation of Discrete Time Systems
Design of Digital Filters
Introduction to DSP co-processors
Applications
Advance DSP concepts

CE1.2: Machine Learning

Introduction
Inductive Classification
Decision Tree Learning
Ensemble Learning
Experimental Evaluation of Learning Algorithm
Computational Learning Theory
Rule Learning: Propositional and First-Order
Artificial Neural Networks
Support Vector Machines
Bayesian Learning
Instance-Based Learning
Clustering and Unsupervised Learning

CE1.3: Cyber Forensic and Laws

Introduction
Cyber Forensics Tools and Utilities
Concealment Techniques
Hardware: Model System Platforms
Software: Operating Systems, Network Traffic and Applications
Standard Operating Procedures:
Digital Forensic Laboratory Accreditation Standards
Privacy and Cyber Forensics
Forensic Discovery and Analysis Using Back Track
Privacy and Cyber Forensics


CE1.4: Project Management

Introduction to Software Project Management System
Overview of Project Planning
Project Estimation
Project Scheduling
Organization and Team Structure
Risk Analysis and Management
Resource Allocation
Project Tracking and Configuration Management
Project Contract Management
Software Quality Assurance.

CE1.5: Mobile Computing

Mobile & Wireless Technology
Mobile Computing Basics
Access Technologies & Computing Models
Mobile Networking
Mobile IP
Mobile Transaction & Commerce
Ad-hoc Network
Programming Language Support

C11: Dissertation Part-I

C12: Dissertation Part-II

Note : Module Codes/Subjects/Topics are provisional and subject to change. Course teaching will be as per DOEACC norms existing at the time. Electives will be offered at the discretion of the institute.

ModuleDESCRIPTION
B3.1MANAGEMENT FUNDAMENTALS AND INFORMATION SYSTEMS
B3.2BASIC MATHEMATICS
B3.3SOFTWARE ENGINEERING & CASE TOOLS
B3.4OPERATING SYSTEMS
B3.5NETWORKING AND MOBILE COMMUNICATIONS
B4.1COMPUTER BASED STATISTICAL & NUMERICAL TECHNIQUES
B4.2DISCRETE STRUCTURE
B4.3SOFTWARE TESTING AND QUALITY MANAGEMENT
B4.4COMPUTER GRAPHICS AND MULTIMEDIA SYSTEMS
B4.5INTERNET TECHNOLOGIES AND TOOLS
B5.1PROFESSIONAL AND BUSINESS COMMUNICATION
B5.2OBJECT ORIENTED DATABASE MANAGEMENT SYSTEMS
B5.3NETWORK MANAGEMENT & INFORMATION SYSTEM
Elective(any two)E-BUSINESS,PARALLEL COMPUTING,ACCOUNTING SOFTWARE PROJECT MANAGEMENT, EMBEDDED SYSTEM, AI AND FINANCE MANAGEMENT, APPLIED OR IMAGE PROCEEING
PRJ-2'B' LEVEL PROJECT

Note
  • In addition to DOEACC curriculum, special classes are conducted on Communication English language & Personality Development to enhance employment prospects.
  • On successful completion of the course, students will also be awarded 'Master Diploma in IT by the institute & given placement assistance.



Objective

The objective of the 'C' Level course is to develop professional who will be equipped with the knowledge and skills desired to perform the duties of the positions mentioned below . In order to develop the capabilities, the course has been designed to give the student a sound background in latest technologies tool and technique

Eligibility

Level 'B', B.Tech./ BE/MCA/Msc/Master's degree in Math’s/Stat/OR,MBA with B.sc./BA(Math’s/Stat).

Career Opportunities
  • Project Manager
  • IT Consultant
  • R & D Scientist
  • System Specialist
  • Training Faculty
ModuleDESCRIPTION
C1COMPUTER ORGANIZATION
C2DATA STRUCTURES THROUGH 'C'
C3OPERATING SYSTEM
C4ALGORITHM ANALYSIS AND DESIGN
C5OBJECT ORIENTED METHODOLOGY
C6ADVANCE DATABASE MANAGEMENT SYSTEM
C7ADVANCE COMPUTER NETWORK
C8ADVANCE COMPUTER ENGINEERING
C9ADVANCE SOFTWARE PROJECT MANAGEMENT
C10COMPUTER GRAPHICS & ANIMATION
C11MULTIMEDIA TECHNOLOGY AND VIRTUAL REALITY
C12DISTRIBUTED SYSTEM
C13DIGITAL SYSTEM DESIGN
C14AI AND NEURAL NETWORKS
ELECTIVE / ADVANCEDADVANCECDCED COMPUTER ARCHITECTURE WIRELESS AND MOBILE NETWORKS, NETWORK SECURITY & CRYPTOGRAPHY, SOFTWARE QUALITY MANAGEMENT, DATA WAREHOUSING AND MINING, IMAGE PROCESSING & COMPUTER VISION,REAL TIME SYSTEM, LOGICAL & FUNCTIONAL PROGRAMMING

Note
  • In addition to DOEACC curriculum, special classes are conducted on Communication English language & Personality Development to enhance employment prospects.
  • On successful completion of the course, students will also be awarded IT specialist Diploma by the institute & given placement assistance.
  • Modules c1 to c3 are exempted for the students who have qualified DOEACC 'B' level or any equivalent course