GROUPING OF MINOR COURSES IN BCA For Other Departments ( Title of the Minor: Data Science and Artificial Intelligence) EVALUATION SCHEME 1. The evaluation scheme for each course contains two parts: internal evaluation (about 30%) and external evaluation (about 70%). Each of the Major and Minor courses is of 4-credits. It is evaluated for 100 marks, out of which 30 marks is from internal evaluation and 70 marks, from external evaluation. Each of the General Foundation course is of 3-credits. It is evaluated for 75 marks, out of which 25 marks is from internal evaluation and 50 marks, from external evaluation. 2. The 4-credit courses (Major and Minor courses) are of two types:
(i) courses with only theory and (ii) courses with 3-credit theory and 1-credit practical. Page 14 of 241 Group No. Sl. No.
Course Code Title Semes ter Total Hrs Hrs/ Week Cred its Marks Inter nal Exte rnal Total 1 Data Science 1 BCA1MN 101 Mathematical Foundation for Computer Applications 1 60 4 4 30 70 100 2 BCA2MN 101 Statistical Foundation for Computer Applications 2 60 4 4 30 70 100 3 BCA3MN201 Introduction to Data Science 3 60 4 4 30 70 100 2 Artificial Intelligence 1 BCA1MN 102 Discrete Structures for Computer Applications 1 60 4 4 30 70 100 2 BCA2MN 102 Numerical Analysis and Optimization Techniques 2 60 4 4 30 70 100 3 BCA3MN202 Foundations of Artificial Intelligence 3 60 4 4 30 70 100 Group No. Sl. No.
Course Code Title Semes ter Total Hrs Hrs/ Week Cred its Marks Inter nal Exte rnal Total 1 4th Year Minor Courses 1 BCA8MN304 Introduction to AI and ML 8 75 5 4 30 70 100 2 BCA8MN305 Principles of Operating System 8 75 5 4 30 70 100