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SCHOOL OF COMPUTER SCIENCE & ENGINEERING

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DEPARTMENT OF

SCHOOL OF COMPUTER SCIENCE & ENGINEERING

The Bachelor of Technology (Hons.) in Computer Science & Engineering with specialization in Artificial Intelligence & Machine Learning is a program that focuses on both the foundational principles of computer science and engineering, as well as specialized courses in artificial intelligence (AI) and machine learning (ML).

Students in this program typically study a range of subjects including computer programming, algorithms, data structures, computer architecture, operating systems, and database management systems. Additionally, they take courses specifically tailored to AI and ML, such as machine learning algorithms, neural networks, natural language processing, and computer vision.

The program aims to equip students with the knowledge and skills required to develop intelligent systems, analyze large datasets, and create AI-powered applications across various industries. Graduates can pursue careers as AI engineers, machine learning engineers, data scientists, and software developers, among other roles.

 

VALUE ADDED COURSES

C & C++

JAVA

PYTHON

PHP

PROGRAMME OVERVIEWS

Programme Educational Objectives (PEO)

PEO1 Can effectively use the English language to articulate ideas both in oral and written communication.
PEO2 Able to contribute to multi-disciplinary teams for the achievement of collective goals.

PEO3 Demonstrate technical competence and proficiency in computer science and engineering principles, tools, and techniques.
PEO4 Pursue a successful career in computer science and engineering or related fields.

Programme Outcomes (PO)

PO-1 Engineering
knowledge Apply the knowledge of mathematics, science, engineering fundamentals, and an
engineering specialization to the solution of complex engineering problems.
PO-2
Problem analysis Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO-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.
PO-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.
PO-5 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
PO-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
PO-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.
PO-8 Ethics Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO-9 Individual and team work Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO-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.
PO-11 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.
PO-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 Highlights:

● Core Computer Science Foundation: The program begins with a strong foundation in core computer science & Engineering subjects, including algorithms, data structures, computer organization & architecture and programming languages.

● Specialization Courses: Specialized courses in Artificial Intelligence (AI) and Machine Learning (ML) form a significant part of the curriculum. These courses cover topics such as neural networks, deep learning, natural language processing and computer vision.

● Mathematics and Statistics: As AI and machine learning heavily rely on mathematical and statistical concepts, the program includes courses in linear algebra, probability, statistics, and calculus to provide a solid mathematical foundation.

● Practical Implementation: Emphasis on practical implementation through hands-on projects, labs, and real-world case studies. Students are required to work on AI and ML projects to gain practical experience.

● Industry-Relevant Tools and Technologies: Exposure to industry-relevant tools and technologies used in AI and machine learning, such as TensorFlow, PyTorch, scikit-learn, and others.

● Capstone Projects: Culmination projects or capstone projects where students apply their knowledge and skills to solve real-world problems. This may involve developing AI-based applications, implementing machine learning models, or working on research projects.

● Internships and Industry Collaboration: Opportunities for internships and collaboration with industries, research labs, or AI/ML-focused companies to gain hands-on experience and understand industry practices.

● Guest Lectures and Workshops: Regular guest lectures by industry experts and researchers in the field of AI and machine learning to keep students updated on the latest advancements and industry trends.

● Soft Skills Development: Besides technical skills, the program may focus on developing soft skills such as communication, problem-solving, and teamwork, which are essential for success in any professional setting.

● Research Opportunities: For students interested in research, the program may provide opportunities to engage in AI and machine learning research projects, contributing to the academic community.

● Career Guidance and Placement Support: Assistance with career guidance, job placement, and networking opportunities within the AI and machine learning industry.

● Continuous Learning: Given the rapid advancements in AI and machine learning, programs often encourage a culture of continuous learning and adaptation to emerging technologies.

 

LABORATORIES:

Scrollable 5-Column Table
S.N. Name of Laboratories In-Charger System Software
1. Artificial Intelligence Lab/ Computer Programming Lab Mr. Shafiqual Islam O/S: Windows10Pro(64-bit)
2. Cloud Computing Lab/Multimedia & Web Technologies Lab Mr. Aakash O/S: Windows10Pro(64-bit)
3. Software Engineering Lab/ Java Programming Lab Mr. Nijamuddin O/S: Windows10Pro(64-bit)
4. Database Management Systems Lab/ Compiler Design Lab Mrs. Shreya O/S: Windows10Pro(64-bit)
5. Data Structure Using C Lab Mr. Aslam Khan O/S: Windows10Pro(64-bit)
6. Computer Network Lab/Operating Systems Lab Mr. Aakash O/S: Windows10Pro(64-bit)
7. English Communication Lab/Office Automation Mrs. Swati O/S: Windows8.1(64-bit)
8. Central Research Lab Mr. Hemant singh O/S: Windows10Pro(64-bit)
9. Software Development Lab Mr. Shafiqual Islam O/S: Windows10Pro(64-bit)

COURSE OFFERED

B.Tech (C.S.E)
Eligibility

•Candidates must have earned at least 50% on their 10+2 exam from an accredited board in any stream (ideally science).
•For Kashmiri Migrants (KM) relaxation in cut-off percentage up to 10% subject to minimum eligibility requirement.
•Diploma Examination passed with at least 45% marks (40% reserve category) in aggregate in any Branch of Engineering and Technology., Diploma in Engineering & Technology ( 3 Years )

B.Tech. (H) CSE A.I & M.L
Eligibility

•Candidates must have earned at least 50% on their 10+2 exam from an accredited board in any stream (ideally science).
•For Kashmiri Migrants (KM) relaxation in cut-off percentage up to 10% subject to minimum eligibility requirement.

B.Tech.(H) CSE Cyber security
Eligibility

•Candidates must have earned at least 50% on their 10+2 exam from an accredited board in any stream (ideally science).
•For Kashmiri Migrants (KM) relaxation in cut-off percentage up to 10% subject to minimum eligibility requirement.

B.Tech.(H). CSE FWD
Eligibility

•Candidates must have earned at least 50% on their 10+2 exam from an accredited board in any stream (ideally science).
•For Kashmiri Migrants (KM) relaxation in cut-off percentage up to 10% subject to minimum eligibility requirement.

M.Tech (C.S.E)
Eligibility

•Candidates must have earned at least 50% on their 10+2 exam from an accredited board in any stream (ideally science).
•For Kashmiri Migrants (KM) relaxation in cut-off percentage up to 10% subject to minimum eligibility requirement.
•Diploma Examination passed with at least 45% marks (40% reserve category) in aggregate in any Branch of Engineering and Technology., Diploma in Engineering & Technology ( 3 Years )

Ph.D. CSE
Eligibility

•Candidates must have earned at least 50% on their 10+2 exam from an accredited board in any stream (ideally science).
•For Kashmiri Migrants (KM) relaxation in cut-off percentage up to 10% subject to minimum eligibility requirement.

FACILITIES

Five well-equipped and spacious Computer Laboratories with 250 networked computer equipment like Servers, Printers, UPSs, etc.

Computer Programming & Graphics Lab

Object-oriented Programming Lab(OOPS Lab)

Language Processor Lab

Network & OS Lab

Internet & Project Lab

Language Lab

PG Lab

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