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About


Mission

To impart quality education by applying ingenious and modern methods of pedagogy thereby calibrating one’s individual outlook towards problem solving.

To recognize the flair and talent of individuals who will be nurtured tobecome leadersand innovators in industry and education and bring them to the limelight by enhancingtheir entrepreneurship skil.

To promote higher studies and research activities by indulging in innovative projects and collaborative ventures with the industry and premier institutes.

To create graduates to be successful, ethical and lifelong learners by imbibing holisticeducation to promote sustainability and contribute to the social well-being.

To boost employability skills through intra, inter-departmental and inter-institutionalactivities beyond curriculum thereby invigorating team-building activities andleadership skills to instil confidence and creativity.

Vision

To be a leaderin Computer Science and Engineering - AI education by providing a platform to produce industry and/or research oriented individuals contributing to the enrichment of the society.


Program Outcomes

1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and engineering specialization to the solution of complex engineering problems.

2. Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

4. Conduct investigations of complex 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.

5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineeringtools including prediction and modelling to complex engineering activities with an understanding of the limitations.

6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

11. Project management and finance: Demonstrate knowledge and understanding of the engineeringand 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.

12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.



Program Educational Objectives

1. To excel as successful career professionals in various fields of Computer Science and Engineering and to pursue research.

2. To establish expertise in solving contemporary problems in analysis, design and evaluation of computer and software systems.

3. To engage in lifelong learning and professional development to adapt to rapidly changing work environment.

4. To demonstrate entrepreneurial skills, lead teams built across multidisciplinary and cross cultural backgrounds and to make fruitful contributions towards overall societal development.



Program Specific Outcomes

1. Ability to understand the working principles of computer systems.
2. Ability to apply mathematical formulations and algorithms to solve real world problems with professional skills.
3. Ability to identify research gaps and propose suitable innovative solutions.


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Computer Science & Engg - AI

B.Tech : Techno Main Salt Lake provides B.Tech program in the department of Computer Science & Engineering - AI. Students enrolled in this course will be able to understand the concept of computing, develop a strong foundation of the basic mathematics of computing and understand the engineering considerations involved in the design, implementation and usage of computing systems.


Syllabus

Computer Science & Engineering - AI



Intake

B.Tech in Computer Science & Engineering - Artificial Intelligent : 60


Laboratories

1. Web Technology Laboratory

2. OS Laboratory

3. Networking Laboratory

6. AI & Machine Learning Laboratory

5. VR Laboratory


Research


Contact

Department of Computer Science and Engineering
Phase-III Building, EM4/1, Sector-V, Salt Lake,Kolkata-700091.

E-mail: hod.cse14@gmail.com / hodcse@ticollege.ac.in
H.O.D: Extn. No. 240, FACULTY MEMBERS: Extn. No. 216

Interactive Learning

Techno India provides virtual interactive learning facilities to its students; such repositories can be accessed anytime and anywhere that ensure that students get hassle free access to digital library, online journals and digital notes 24x7. The digital repositories comprise a vast collection of e-books, publications, notes as well as case-studies from renowned foreign authors and industry experts. As an academic institute of repute, Techno India strives towards making the learning experience promising for the aspirants so that the location or venue is never a barrier.

Quick Links

  • MAKAUT Results
  • MAKAUT Syllabus
  • MAKAUT Website
  • Techno India Group
  • Anti Ragging Affidavit
  • Press Meet

TMSL News

AICTE has merged all courses of Techno Main Saltlake(TMSL) and accorded approval of Computer Science and Engineering (Artificial Intelligence and Machine Learning), B.tech (Artificial Intelligence and Machine Learning) +MBA (5years integrated courses).

Contact us

    Admission Office

    Helpline No: 9836544416 / 17 / 18 / 19

    1. TECHNO INDIA CHINGRIGHATA CAMPUS - LB 10, EM Bypass, Sector 3,Chingrighata, Kolkata 700098, WB. (Beside Leather Technology College [Service Road])

    2. TECHNO INDIA (2nd Floor)- EM-4/1, Sector-V, Salt Lake, Kolkata-700091, WB.

  

    Campus Address

    EM-4/1, Sector-V, Salt Lake, Kolkata-700091, WB Contact No: 033-23575683 / 84 / 86
    Email : info@ticollege.ac.in
    principal@ticollege.ac.in

    Makaut Address

    BF 142, BF Block, Sector 1, Salt Lake City, Kolkata, West Bengal 700064.
    Website : www.wbut.ac.in

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