M.Tech Computer Science & Engineering
- To become the centre of excellence in teaching and research.
- Induce ethical values and spirit of social commitment.
- Provide a learning ambience to enhance innovations and problem-solving skills.
- To provide a comprehensive education, benchmarked against the highest global standards.
- To collaborate with the software industry and adopt technology to achieve quality in technical education.
- To promote research-based projects/activities in the emerging areas of technology convergence.
Choose The Tula’s Experience
|1.||M.Tech - CSE||2 years||
Passed BE/BTech or equivalent in Computer Science & Engg, Information Technology or MCA.GATE/NET qualified students shall be preferred. Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying Examination.
|MCST 101||Program Core I- Mathematical foundations of Computer Science|
|MCST 102||Program Core II-Advanced Data Structures|
|MCST 11X||Program Elective I –|
|MCST 12X||Program Elective II –|
|MOET 191||Research Methodology and IPR|
|MAUT 19X||Laboratory 1 (Advanced Data Structures)|
|MCSP 1XX||Laboratory 2 (Based on Electives)|
|MCST 201||Program Core III - Advance Algorithms|
|MCST 202||Program Core IV - Soft Computing|
|MCST 23X||Program Elective III –|
|MCST 24X||Program Elective IV –|
|MAUT 29X||Audit Course|
|MCSP 201||Laboratory 3 (Advance Algorithm)|
|MCSP 2XX||Laboratory 4 (Based on Electives)|
|MCSP 202||Mini Project with Seminar|
|MCST 35X||Program Elective 5 –|
|OPEN ELECTIVE –|
|1. MOET 391||1. Business Analytics|
|2. MOET 392||2. Industrial Safety|
|3. MOET 393||3. Operations Research|
|4. MOET 394||4. Cost Management of Engineering Projects|
|5. MOET 395||5. Composite Materials|
|6. MOET 396||6. Waste to Energy|
|MCSP 301/ MCSP 302||Dissertation-I /Industrial Project|
|MCSP 401||Dissertation II|
|MCST 111||Machine Learning|
|MCST 112||Wireless Sensor Networks|
|MCST 113||Introduction to Intelligent Systems|
|MCST 121||Data Science|
|MCST 122||Distributed Systems|
|MCST 123||Advanced Wireless and Mobile Networks|
|Audit course 1:|
|MAUT 191||English for Research Paper Writing|
|MAUT 192||Disaster Management|
|MAUT 193||Sanskrit for Technical Knowledge|
|MAUT 194||Value Education|
|MCST 231||Data Preparation and Analysis|
|MCST 232||Secure Software Design & Enterprise Computing|
|MCST 233||Computer Vision|
|MCST 241||Human and Computer Interaction|
|MCST 242||GPU Computing|
|MCST 243||Digital Forensics|
|Audit course 2|
|MAUT 291||Constitution of India|
|MAUT 292||Pedagogy Studies|
|MAUT 293||Stress Management by Yoga|
|MAUT 292||Personality Development through
Life Enlightenment Skills
|MCST 351||Mobile Applications and Services|
|MCST 352||Compiler for HPC|
|MCST 353||Optimization Techniques|
|Mr. Lokesh Kumar
Email id: firstname.lastname@example.org
The department of computer science & engineering aims at providing & ensuring outcome based education through qualitative teaching-learning process, meaningful teacher-taught interactions, state-of-the-art laboratories and well qualified faculty. Our department is striving hard to achieve its vision of becoming a centre of excellence in the field of technical education. The department is constantly working towards improving the all-round skill development of our students through organizing guest lectures, seminars, workshops, conferences and career service events facilitated by national and international experts. Our students are highly motivated and demanded by top recruiters for employment. The department provides the arena to build the students capabilities, communication and employability skills. We believe that the teaching-learning process, coupled with practical experience gained during Industrial Training in reputed organizations, equip our students to handle the challenges posed by the software industry. In addition to mastering theoretical concepts of computer science and practical skills, our focus is to prepare students to conduct research, via a minor and major projects offered in the curriculum. Projects offered stretch across diverse areas like algorithms, parallel computing, computer security, artificial intelligence, computer networks, as well as interdisciplinary areas like human-computer interaction, applied machine learning.
PROMINENT / SENIOR FACULTIES
Name:- Dr. Raghav Garg
Education:- B.Tech, M.S. , Ph.D, M.B.A.
Experience:- 6 Yrs.
Designation:- Associate Professor
Name:- Mrs. Suchi Jain
Education:- M.Tech (CSE)
Experience:- 09 Yrs.
Designation:- Assistant professor