Computer Science and Mathematics B.Sc. Study Materials

Expertise in Data Science & Artificial Intelligence

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Courses:

Year 1:

1. Algorithmic Number Theory
2. Calculus 1
3. Calculus 2
4. Data Structures
5. Data Visualization
6. Discrete Mathematics
7. Introduction to Data Science
8. Introduction to Java and Programming
9. Linear Algebra 1
10. Logics and Set Theory

Year 2:

1. Algorithms 1
2. Algorithms 2
3. Algorithms in Artificial Intelligence
4. Automata Theory 1
5. Automata Theory 2
6. Databases
7. Introduction to Neural Computation
8. Networking and Computing
9. Linear Algebra 2
10. Object-Oriented Programming
11. Operating Systems
12. Probability for Computer Science 1
13. Software Programming 1 (C)
14. Software Programming 2 (C++)

Year 3:

1. Advanced Programming
2. Computability
3. Computer Science Seminar for Data Science
4. Computer Vision and Image Processing
5. Deep learning and Natural Language Processing
6. Economic Algorithms
7. Final Project
8. Machine Learning
9. Probability for Computer Science 2
10. Programming Languages
11. Programming Research Algorithms
12. Software Engineering
13. Computer Games Development

My Summaries:

1. Introduction to Data Science
2. Calculus 1
3. Probability for Computer Science 2
4. Introduction to Neural Computation
5. Algorithms
6. Design Patterns
7. Operating Systems
8. Advanced Programming