Artificial Intelligence And Data Science
Programme Artificial Intelligence And Data Science
In this age of computers and everything being digitalized, knowledge about machines is very important. Presently AI is one of the fastest-growing job titles in industry. Many everyday influences of artificial intelligence are altering the way our daily lives look. Our financial institutions, legal institutions, media companies and insurance companies are all figuring out ways to use artificial intelligence to their advantage. From fraud detection to writing news storeys with natural language processing and reviewing law briefs, AI’s reach is extensive. The school of Sciences and Emerging Technologies of Jagat Guru Nanak Dev Punjab State Open University, Patiala has started Certificate Course in Artificial Intelligence and Data Science from the session 2020-21. This programme covers subjects related to artificial intelligence. The Certificate course is of 18 credits consisting 3 subjects and 1 year Diploma Course is of 36 credits consisting 3 subjects in each semester. This will give strong foundation to the learner. One also get to learn programming languages used in AI along with information about various tools and approaches used in AI. The Certificate Course in AI and DS of Jagat Guru Nanak Dev Punjab State Open University has been designed to supply trained manpower in ever growing IT and IT Enabled industry.
Passed 10+2
| Total Credits: 18 | Min-Duration : 1 Year | Max-Duration : 2 Years | ||||
| Sr. No. | Name of the Course | Course Code | Credit | SM | Syllabus |
|---|---|---|---|---|---|
| Semester 1 | |||||
| 1 | Problem Solving using Python | CCAD-1-01T | 4 | - | View |
| 2 | Introduction to AI and DS | CCAD-1-02T | 6 | - | View |
| 3 | Statistical Foundation | CCAD-1-03T | 4 | - | View |
| 4 | Problem Solving using Python Lab | CCAD-1-01P | 2 | - | View |
| 5 | Statistical Foundation Lab | CCAD-1-03P | 2 | - | View |
| Semester 2 | |||||
| 1 | Data Mining and Visualization | DAD-1-04T | 4 | - | View |
| 2 | Machine Learning | DAD-1-05T | 4 | - | View |
| 3 | Data Mining and Visualization Lab | DAD-1-04P | 2 | - | View |
| 4 | Machine Learning Lab | DAD-1-05P | 2 | - | View |
| 5 | Project | DAD-1-06P | 6 | - | View |
Continuous Internal Assessment 30%
- Two assignments will be submitted for a 4-credit course and three assignments will be submitted by the learner for a 6-credit course.
- The learner will be required to obtain thirty per cent marks as pass percentage in each assignment separately.
- Each assignment will carry 100 marks. In the final result, assignments will carry thirty per cent weightage.
End Semester 70%
- The learner has to score at least 30% marks in the semester end examinations
The learner is required to score at least 35% marks in both continuous evaluations (i.e.in assignments) as well as in semester end examinations separately. Besides, at least 40% marks in each course is required in the overall computation.
Students will be awarded Certificate after successfully earning credits of 6 months and after earning credits of 1 year student will be awarded with Diploma.
- Dr. Baljit Singh Khehra
- Professor
- School of Sciences and Emerging Technologies
- baljit{dot}khehra{at}psou{dot}ac{dot}in