Department of Computer Science and Engineering (Artificial
Intelligence & Machine Learning)
(Under the School of Engineering)
Name of Dean | Prof.(Dr.)Subhankar Joardar |
---|---|
Head Of The Department | Prof.(Dr.)Bidesh Chakraborty |
Phone | +91 8918041678 |
admin@hithaldia.in |
Programme Offered
Programme | Seat | Duration | |
---|---|---|---|
Undergraduate | B.Tech in Computer Sc. & Engg (Artificial Intelligence & Machine Learning) |
120 | 4 Years |
The mission of the Department of Computer Science & Engineering (Artificial Intelligence & Machine Learning) is to advance, evolve and enhance Computer Science and Engineering fundamentals to build the intellectual capital of the society. The Department strives to provide quality professional education in emerging fields relating to Computer Science and Information Technology that facilitate students to effectively apply this education to solve real-world problems. The Department imparts cutting-edge skills through teaching, practice and research. Students are trained in current technologies, analytical problem solving and product design skills to be employable in the industry. The well-qualified faculty members ensure understanding of fundamental concepts with a view to lay a strong foundation.
Year of Establishment:
2020
Programs Offered and Intake:
B. Tech. in Computer Science & Engineering (Specialization in Artificial
Intelligence & Machine Learning)
Current intake in each program: 120+ 5% TFW + 20%Lateral
entrant
VISION
To become a highly significant department in imparting high quality knowledge and in providing students a unique learning and research experience in frontier areas of Computer Science and Engineering.
MISSION
M1: To provide high-quality education that prepares the graduates for success in their professional practice and advanced studies.
M2: To prepare the students for professional employment and graduate education through study and implementation of the fundamental principles of theory, abstraction, and software design.
M3: To instill societal and ethical responsibilities in all professional activities.
Course Outcome [Click to View]
PROGRAM SPECIFIC OUTCOMES (PSOs)
A graduate of the Computer Science and Engineering (Artificial Intelligence & Machine Learning) will demonstrate:
PSO 1: Ability to perform in technical/managerial roles ranging from design, development, problem solving to production support in software industries and R&D sectors.
PSO 2: Ability to adapt, contribute and innovate new technologies and systems in the key domains of Computer Science and Engineering.
PSO 3: Ability to become ethically and socially responsible solution providers and entrepreneurs in Computer Science and other engineering disciplines.
PROGRAM EDUCATIONAL OBJECTIVES (PEOs):
The Program Educational Objectives of under-graduate program in Computer Science & Engineering (AI & ML) are to produce graduates:
PEO 1: Equipped with sound knowledge of mathematics, science and technology to build logical base of computer science & engineering, especially artificial intelligence and machine learning that will be useful in solving complex engineering problems and develop enduring learning ability.
PEO 2: Capable of understanding and applying fundamentals of all subjects of computer science & engineering, especially artificial intelligence and machine learning to analyze, design, and implement new projects from various application domains using modern engineering tools.
PEO 3: Prepared to deliver social and professional responsibilities ethically.
PEO 4: Equipped with communication, presentation and entrepreneurial skills thus making them competent professionals at global level.