Course Duration | Course Level | Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by nationality/region | Full-time | Private |
Semester | Course Name | Course Code | Credits | Topics Covered |
---|---|---|---|---|
Semester 1 | Introduction to Example | EX 101 | 4 | Basics of Example, Introduction to Concepts |
Semester 2 | Advanced Example | EX 201 | 4 | Advanced Topics in Example, Practical Applications |
Semester 3 | Example in Practice | EX 301 | 4 | Real-world Applications, Case Studies |
Semester 4 | Example Project | EX 401 | 4 | Project Work, Research Methods |
Semester | Important Topics |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Computer Science, Digital Fundamentals |
Semester 2 | Object-Oriented Programming, Data Structures, Database Management Systems |
Semester 3 | Operating Systems, Web Technologies, Discrete Mathematics |
Semester 4 | Algorithms, Computer Networks, Statistical Methods for Data Science |
Semester 5 | Machine Learning, Big Data Analytics, Artificial Intelligence |
Semester 6 | Data Visualization, Cloud Computing, Project Work (Data Science) |