Syllabus for
BTech (Computer Science and Engineering-Artificial Intelligence and Machine Learning)
Academic Year  (2023)

●        Continuous Internal Assessment (CIA)        : 50% (50 marks out of 100 marks)

●        End Semester Examination(ESE)                   : 50% (50 marks out of 100 marks)

The Department of Computer Science and Engineering of CHRIST (Deemed to be University) has started its journey in the year of 2009 with the objective of developing a firm foundation in mathematics, science, and design methodology applied to the disciplines of Computer Science & Engineering. The various courses offered gives the fundamentals, working and expert subjects that provides enough learning environment where students understand and are able to apply the most contemporary and essential tools needed in the breadth and depth of computer Science and engineering.

The Department strives to give skills essential to practicing engineering professionals; it is also an objective to provide experience in leadership, management, planning, and organization. The department understands its role in developing and evaluating methods that encourage students to continue to learn after leaving the university. We believe that the student opportunities and experiences should lead to an appreciation of the holistic development of individual. We also try to pass to our students our passion for what we do, and to have the students comprehend that we also desire to continue to learn.

 Department VisionTo fortify Ethical Computational Excellence”

 Department Mission1.      Imparts core and contemporary knowledge in the areas of Computation and Information Technology

2.      Promotes the culture of research and facilitates higher studies

3.      Acquaints the students with the latest  industrial practices, team building and entrepreneurship

4.      Sensitizes the students to serve for environmental, social & ethical needs of society through lifelong learning.

 Computer Science and Engineering with spacilization( Artificial Intelligence and Machine Learning) is a 4 year, 8 semester Undergraduate program aimed at studying, designing, developing, implementing, support and management of computer-based information systems. Students under this course concentrate on the concepts of Artificial Intelligence and Machine learning roles on both software and hardware areas. It provides advanced studies in Information Systems Design, Communication Systems and Networking, Foundations of Computing Systems, and Internet and Web-based Technologies. Students have to take up electives from a wide choice of subjects, such as Embedded Low Power Systems, Object Oriented Systems, Information and System Security and Software Reliability.These course emphases on to develop the necessary skills for the students to sustain in today’s industrial expectation, in pursuit of excellence by keeping high personal and professional values and ethics.

Programme Outcome/Programme Learning Goals/Programme Learning Outcome:

PO2: Think critically to identify, formulate, and solve complex computer science & engineering problems by developing models, evaluating validity and accuracy of solutions in terms of computer science and engineering validity measures.

PO3: Analyse, design of complex problems, implement, and evaluate a computer-based system, to meet expected needs with appropriate considerations such as economic / environmental/societal.

PO4: Conduct experiments to investigate problems based on changing requirements, analyze and interpret results.

PO5: Create, select, adapt appropriate techniques and use of the modern computational tools, techniques and skills, and best of engineering practices.

PO6: Understand the impact of contextual knowledge on social aspects and cultural issues.

PO7: Understand contemporary issues related to social & environmental context for sustainable development of engineering solutions.

PO8: Understand professional & ethical responsibility to contribute for societal and national needs.

PO9: Function and coordinate effectively as an individual, as a member or leader in diverse, multicultural& multidisciplinary teams

PO10: Communicate effectively.

PO11: Demonstrate an understanding of computer science and engineering & management principles to manage software projects.

PO12: Demonstrate a recognition and realization of the need for, and an ability to engage in lifelong learning.

Programme Specific Outcome:

PSO2: Resource Management: Utilize the knowledge of Artificial Intelligence & Machine Learning to develop AI based solutions for the real-world problems