MASTER OF COMPUTER APPLICATIONS

Master of Computer Applications (MCA) is one of the most sought-after courses among the post graduates courses. World over IT related technology businesses have fuelled growth, created jobs, and turned out with an increasing number of successful start-ups. IT sector is one of the country’s fastest-growing businesses and has been considered as world’s largest information technology destination. With fast growing global digitalization, the demand for computer applications specialists is constantly expanding.

Department of Computer Applications provides a comprehensive understanding of important areas of computer science and its applications providing them professional skills in software development. It assists students in developing practical abilities to solve a variety of difficulties that may arise during computer programming and their applications. In addition, the post graduates of MCA also find a way to move to the education sectors.

USP

Industry-led & Practice Based Curriculum.
Content Delivery & Mentoring by Professionally Trained Faculty & Industry Experts by conducting Guest Lectures/ Expert Talks.
Value Added Courses/ Add On Certifications/ Short Term Courses (STC) for all round development of the students.
Alumni database of 70+ alumni currently working with MNC’s and Government Institutions/Sectors.
Practical oriented teaching with hands on experience (Project Based Learning and Industrial Visits).

PROGRAM OUTCOMES

Computational Knowledge :Apply knowledge of computing fundamentals, computing specialization, mathematics, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.
Problem Analysis :Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
Design /Development of Solutions :Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
Conduct investigations of complex Computing problems :Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern Tool Usage :Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
Professional Ethics :Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
Life-long Learning :Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.
Project management and finance :Demonstrate knowledge and understanding of the computing and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Communication Efficacy :Communicate effectively with the computing community, and with society at large, about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.
Societal and Environmental Concern :Understand and assess societal, environmental, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practices.
Individual and Team Work :Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
Innovation and Entrepreneurship :Identify a timely opportunity and using innovation to pursue that opportunity to create value and wealth for the betterment of the individual and society at large.

PROGRAM SPECIFIC OUTCOMES

PSO 1 : Ability to build and perform career in data management and support IT industry.
PSO 2 : Develop skills to design industry software and applications

COURSE OUTCOMES

MCA

DEPARTMENTAL VISION

To become centre of excellence in software development and research.

DEPARTMENTAL MISSION

ELIGIBILITY
CURRICULUM
FROM THE DESK of HOD
SENIOR FACULTY

S.NO

COURSE

DURATION

ELIGIBILITY

1.

MCA

2 years

Passed BCA/ Bachelor Degree in Computer Science Engineering or equivalent Degree.

Passed B.Sc./ B.Com./ B.A. with Mathematics at 10+2 Level or at Graduation Level (with additional bridge Courses as per the norms of the concerned University). Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying Examination.

MCA I SEMESTER
SUBJECT CODE	SUBJECT
MBCT 101	Introduction of Information Technology
MBCT 102	Programming Fundamentals with ‘C’
MBCT 103	Fundamental Web Technology
MCAT 101	Discrete Structure
MCAT 102	Database Management System
MCAT 103	Operating System
MCAT 104	Computer Organization
MCAT 105	Technical Communication Skills

Labs
MCAP 102	Database Management System
MCAP 103	Operating System
MCAP 104	Computer Organization
MCAP 105	Technical Communication Skills
MCAP 106	Python Programming / Unix and Shell Programming
MCA. II SEMESTER
SUBJECT CODE	SUBJECT
MCAT 201	Computer Based Statistical and Numerical Techniques
MCAT 202	Data Structure and Analysis of Algorithms
MCAT 203	Object Oriented Programming with Java
MCAT 204	Computer Networks
MCAT 205	Microprocessor and Interface
MCAT 206	Accounting and Financial Management (Non Credit)
Labs
MCAP 202	Data Structure and Analysis of Algorithms
MCAP 203	Object Oriented Programming with Java
MCAP 204	Computer Networks
MCAP 205	Microprocessor and Interface
MCA IIIrd SEMESTER
Course Code	Name of Course
MCAT 301	Theory of Automata and Formal Language
MCAT 302	Software Engineering
MCAT 303	Big Data Analysis
MCAT 304	Artificial Intelligence & Applications
MCAT 305	Combinatorics and Graph Theory
MCAT 306	Universal Human Values
MCAT 307	Any Online Course specified by AICTE on latest technology Not Credit Course – must be completed (in 2nd Year) to award the MCA Degree
Labs.
MCAP 302	Software Engineering
MCAP 303	Big Data Analysis


MCA. IVthSEMESTER
Course Code	Name of Course
MCAT 401	.Net Technology
MCAT 402	Network & Cyber Security
MCAT 41X	Elective 1
MCAT 42X	Elective 2
MCAT 43X	Elective 3
MCAP 403	Major Project

Labs.
MCAP 402	.Net Technology
MCAP 403	Network & Cyber Security


Elective I
Course Code	Name of Course
MCAT 411	Soft Computing
MCAT 412	Distributed System
MCAT 413	Data Science
MCAT 414	Machine Learning
MCAT 415	Simulation & Modeling

Elective II
MCAT 421	Web Technology and Cloud Computing
MCAT 422	Digital Image Processing
MCAT 423	Computer Graphics & Multimedia
MCAT 424	Software Testing & Quality Assurance
MCAT 425	Compiler Design

Elective III
MCAT 431	Neural Networks
MCAT 432	Internet of Things
MCAT 433	Blockchain Architecture
MCAT 434	Natural Language Processing
MCAT 435	Advanced Java

Dr. R.B. Singh

Email id: cse.hod@tulas.edu.in
Head of the Department,
Computer Applications

Greetings! On behalf of the faculty members, staff, and students of the Department of Computer Application at Tula’s Institute, Dehradun, I welcome you all to the creative world of computer application. The Department has a team of well qualified and experienced faculty members. The Department lays maximum stress on student outcomes through industry based curriculum, effective teaching learning methods and counselling of students through Mentor-Mentee Program.

I believe the computer application discipline has been widely recognized as an essential source and technique for the advancements in software industry. We prepare our students to meet increasing global challenges of ever evolving technologies so as to make them acceptable to both industries and higher institution of learning. In Tula’s Institute all the students get the opportunity to excel in their academic activities.

	Name:- Dr. Ajeet Kumar Vishwakarma Education:-Ph.D(CSE) Experience:- 17 Yrs. Designation:- Assistant Professor Publications:- 06 RESUME
	Name:- Mr. Rakesh Kumar Education:- M. Tech. CSE, Ph.D (P) Experience:- 13 Yrs. Designation:- Assistant Professor Publications:- 4 RESUME
	Name:- Ms. Vandna Bansla Education:- M.Tech (CSE), Ph.D (P) Experience:- 10 Yrs. Designation:- Assistant Professor Publications:- 03 RESUME

	Name:- Ms. Rashmi Mishra Education:- M. Tech.(IT) Experience:- 4.5 Yrs. Designation:- Assistant Professor Publications:- 11 RESUME