Introduction to Computer Science

Related lectures (30)

Page 1 of 3

Covers algorithmic thinking, Python programming, numerical methods, and essential computing concepts for scientific computing.

Explores automated termination analysis using dependency pairs, covering classical and modern techniques, annual competitions, and tools like AProVE.

Covers the representation and management of strings in C, highlighting key differences from other programming languages.

Covers the differences between event programming and sequential programming.

Covers advanced Python programming concepts, including data structures and functions.

Introduces compiler theory, language processing, and the essential concepts behind building compilers.

Explains the differences between pointers and references in programming, focusing on their definitions, uses, and limitations in C and C++.

Introduces the fundamentals of variables and types in C programming, covering declaration, initialization, and the differences from Java.

Introduces the C++ POP course objectives, focusing on project development and object-oriented programming techniques.

Covers the definition and applications of pointers in C programming, emphasizing their role in memory management and generic programming.