Welcome to the official course website for AI for Business Analytics (23CS4716). This page serves as the central hub for all course-related information, lecture materials, references, announcements, and learning resources throughout the semester. 

                                                                                                        Course Information 

• Course Name : AI for Business Analytics                     

• Course Code : 25CS4716

• Course Type : PE-5 (Theory) 

• Programe : B.Tech Computer Science & Engineering 

• Semester & Section : 7th 

• Academic Year : 2026–2027

• Course Credits : 3

                                                                                                              Admin Info

• Teaching :  Friday @ A531 (3:35 PM - 04:25 PM) ; Saturday @ A531 (8:30 AM - 10:30 AM) 

• Participants Details : TBD 

• Instructor : Surajit Sahoo (Profile) 

• Instructor Contact Hours : Available after class or by appointment via email (surajit-cse@dsu.edu.in)

                                                                                                                                   Course Overview 

This course provides a foundation in discrete mathematical structures essential for computer science and engineering. It covers logic and proofs, set theory, relations and functions, combinatorics, algebraic structures, graph theory, combinatorics, and with applications in algorithms, cryptography, artificial intelligence, database systems, and network modelling. 

                                                                                                                         Assessment & Evaluation Policy

The evaluation consists of Continuous Internal Assessment (CIA) and the Semester End Examination (SEE). 

• CIA : 

  • • • Total CIA (60 marks ) : MSE (30 marks) + TBA

• SEE : 40 marks 

• Passing Marks : 40 including CIA+SEE marks  

                                                                                          Course Administration  

• Attendance Policy : 

  • • • • Students are expected to attend all scheduled lectures regularly. 

        • Attendance will be maintained according to university regulations. 

        • Students must satisfy the minimum attendance requirement to be eligible for the Semester End Examination. 

• Academic Integrity : 

                                                Students are expected to uphold the highest standards of academic honesty. Plagiarism, unauthorized collaboration, or any form of academic misconduct will be handled in accordance with the academic regulations of Dayananda Sagar University. 

• Use of Artificial Intelligence : 

                                          This course encourages the responsible use of AI tools to enhance learning. Students should use AI as a support for understanding concepts, generating ideas, and verifying solutions, while ensuring that submitted work reflects their own critical thinking and complies with the university's academic integrity guidelines.