Computer Science and Engineering (Artificial Intelligence and Machine Learning)

The confluence of academia and industries is inevitable in the growing field of Computer Science. HITS has come out with a novel solution of running B.Tech courses aligned with industrial standards along with the industrial leader IBM. 

Artificial Intelligence specialization will create engineers, who can build solutions, with intelligence as humans. With 5 million job openings a year, AI is called the skill of the century. The B.Tech Program with specialization on AI and Machine Learning will have core courses from Computer Science and Engineering and electives courses in AI and Machine Learning, which are designed by IBM. Upon completion of the course, every student will receive a digital badge from IBM along with the degree from HITS, which gives them an edge over other students.

• AI/ML Analyst-Machine Learning Engineer.
• Data Scientist/ Analyst
• Software Developer or Python Developer-Machine Learning/NLP.
• Image processing Engineer.
• Researcher-Machine Learning

PROGRAM EDUCATIONAL OBJECTIVES (PEO)

The Program Educational Objectives (PEOs) of the Computer Science and Engineering are listed below: The graduate after 3-5 years of program completion will

• PEO 1: Excel in his/her professional career and/or pursue higher education including research by applying the knowledge of Computer Science and Engineering.
• PEO 2: Demonstrate the technical skills to analyze and design appropriate solutions for problems with social consciousness and ethical values.
• PEO 3: Adapt themselves to organizational needs by understanding the dynamically changing technologies.

PROGRAM OUTCOMES (ALIGNED WITH GRADUATE ATTRIBUTES) (PO)

(To be achieved by the student after every semester/year/and at the time of graduation) At the end of this program, graduates will be able to

• 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 SPECIFIC OUTCOMES (PSO)

On completion of the B.Tech. Computer Science & Engineering degree the graduates will be able to

• PSO 1: Apply mathematical, conceptual knowledge of computing and analytical skills to solve complex problems.
• PSO 2: Design and develop computer systems based on the domains of Cyber Physical Systems, Algorithm Design Techniques and Enterprise systems security.
• PSO 3: Do innovative system design with analytical knowledge by developing modern tools and techniques.