B.Tech. in Computer Science( Internet of Things) (Intake 30)

About the Department

A 4-year full time B. Tech Program in Internet of Things (IoT)combining elements of electronics and computer science and firm foundation into wireless communications, data networks, sensor devices,cloud computing, data analytics and security with AI and Machine Learning.A deep knowledge on IoT devices, renewable energy systems and smart healthcare system is also included. The programme equips students with a solid theoretical foundation, systematic professional knowledge, andstrong skill for IoT system design and Development.

• The students will develop strong skills in sensors & instrumentation, wireless communications, chip-design,Renewable energy Systems and cybersecurity & privacy of IoT.
• To collaborate with Industry and Research Laboratories through projects, internships enabling the students to explore, apply various directions of learning.
• To acquire skills in relevant areas in scientific research, technological development, product design and professional management in the IoT field.
• To enable the students to keep pace with changing technological advances and skill development with the various industrial tie-ups likeIBM Watson, Microsoft, Tessolve, HUAWEI, GE Healthcare, CDAC, NTPI, UIPATH and NASCOM.
• This course shall instill confidence in students to gain excellence and success in the field of IoT and furnish in global standards.

Vision

To impart Quality education in Computer Science and Engineering to serve the changing needs of industry and society.

Mission

Program Educational Objectives (PEOs)

The graduates shall be able to:

1. Excel in their career by acquiring knowledge in the field of Computer Science & Engineering with the usage of modern tools and emerging technologies.
2. Demonstrate and analyze real life problems of the society and produce innovative solutions.
3. Exhibit amicable communication skills and team work in the industry and research organization through professional development and lifelong learning.

Program Specific Outcomes (PSOs)

1. Perform system and application programming using computer system concepts, concepts of Data Structures, algorithm development, problem solving and optimizing techniques.
2. Apply software development and project management methodologies using concepts of computer systems, communication and emerging technologies.

PROGRAM OUTCOMES

• Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex computer engineering problems.
• Problem analysis:Identify, formulate, review research literature, and analyze complex computer engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
• Design/development of solutions:Design solutions for complex computer engineering problems and design system components or processes that meet the specific needs with appropriate considerations for the public health and safety, and the cultural, societal, and environmental considerations.
• 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 conclusions.
• Modern tool usage:Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
• The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent relevant to the professional engineering practices.
• 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.
• Ethics:Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practices.
• Individual and team work:Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
• Communications: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.
• Project management and finance:Demonstrate knowledge and understanding of the engineering 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.
• Life-long learning:Recognize the need for, and have the preparation and ability to engage in independent and life learning in the broadest context of technological change.

Value Added Courses

Objective

The main aim of the value-added course is to reduce the gap between academics and industry and train the students in current technologies.

Available Courses

We are providing the following Value Added Courses for the benefit of Students.

COURSES

1. Application of AI/Machine Learning with Python
2. Java Programming: A Practical Approach
3. Advanced Python Programming Concepts
4. Advanced Programming Concepts and Logic Building
5. Live Project Implementation
6. Big Data Analytics - A Practical Approach

LABORATORIES

One of the core Strength of department lies on dedicated computer center and labs of the department. The prime focus of computer center & labs is to impart knowledge of Computer Science and related fields by applying technical skills in the form of real life applications. All labs are well equipped with modern facilities with WIFI. Department undertakes industry and research oriented projects to give hands-on experience and exposure to the Students.

1. Python & Machine Learning Lab
2. C Programming Lab
3. Database Management System Lab
4. Computer Network Lab
5. Operating System Lab
6. Web Technology Lab
7. Project Lab
8. Computer Centre
9. Software Engineering Lab