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School of

Computer Science & Engineering

B. E. Computer Science and Engineering

Verticals

The department offers various courses under the verticals of data engineering, system engineering, network engineering.

System engineering: For students it provides an opportunity to deepen their knowledge in automata theory and compiler design. It has NVIDIA Teaching center (CUDA Lab) for research on Heterogeneous Computing.

Data engineering: Students develop skills for visualisation of data, data analysis and draw inferences from the data. They are exposed to hands on setting up cloud and perform data analytics on it.

Network engineering: Design principles and protocols of wired and wireless networks. Courses on present trends like IoT and Cloud are also taught with industry collaboration. Theory courses are augmented by UNP and Network laboratory.

Program Foundation Courses,for Computer Science & Engineering
Graph Theory and Linear Algebra
Data Structures with C,+ Lab
Software Engineering
Object Oriented Analysis and Design
Applied Statistics
Design and,Analysis,of Algorithms
Scripting Languages Lab
Web Technologies Lab
Vertical 1
Data Engineering
Vertical -2
Network Engineering
Vertical -3
Systems Engineering
Core Course/lab Sem Core Course/lab Sem Core Course/lab Sem
Database Management System IV Computer Networks VI Principles of Compiler Design IV
Database Management System Lab IV Computer Networks Lab VI Operating System V
Discrete Mathematical Structures III Data Communication V Computer Organization and Architecture IV
Data Warehousing & Data Mining V Distributed & Cloud Computing VI UNIX System Programming IV
Information Security VII Digital System Design III
Digital System Design Lab III
System Software V
System Software Lab V
Adv. Computer Arch. V
Elective Course Sem Elective Course Sem Elective Course Sem
Big Data and Analytics VI IoT VI Applied Parallel Computing VI
Business Intelligence and Data Visualization VII Unix Network Programming VII Emerging Techngies in Computing VII
Machine Learning VIII Network Management Systems VIII Software Architecture with Design Thinking VIII
III IV V VI VII VIII
Graph Theory
and Linear
Algebra
(4-0-0)
Applied Statistics (3-1-0) Software Engineering
(3-0-0)
Computer Networks (3-0-0) AFM
(3-0-0)
Professional Elective-5
(3-0-0)
Discrete Mathematical Structures
(3-0-0)
Principles of Compiler Design
(3-0-0)
Data Communication
(3-0-0)
Distributed & Cloud Computing
(3-0-0)
Object Oriented Analysis and Design
(3-0-0)
Professional Elective-6
(3-0-0)
Digital System Design
(3-0-0)
Computer Organization and Architecture
(3-1-0)
System Software (4-0-0) Professional Aptitude & Logical Reasoning
(3-0-0)
Information Security (3-0-0) Project Phase- II (0-0-8)
Data Structures with C ( 4-0-0) Design and Analysis of Algorithms
(3-1-0)
Operating System (3-0-0) Professional Elective-1
(3-0-0)
Professional Elective-3
(3-0-0)
Open Elective 1 (3-0-0)
Object Oriented Programming (3-0-0) Database Management System
(4-0-0)
Data Warehouse & Data Mining
(3-0-0)
Professional Elective-2
(3-0-0)
Professional Elective-4
(3-0-0)
Open Elective-2 (3-0-0)
Data Structures with C Lab
(0-0-1.5)
UNIX System Programming
(3-0-0)
Adv. Computer Architecture
(3-0-0)
Computer Networks Lab
(0-0-1.5)
Project-Phase-I
(0-0-3)
CIPE
(Audit-2)
Digital System Design Lab
(0-0-1.5)
Database Applications Lab
(0-0-1.5)
System Software Lab
(0-0-1.5)
Web Technologies Lab
(0-0-1.5)
Object Oriented Programming Lab
(0-0-1.5)
Scripting Languages Lab
(0-0-1.5)
Mini Project
(0-0-3)
Minor Project
(0-0-6)

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