Course

CS-119(h): Information, Computation, Communication

Lectures in this course (59)

Introduces Python basics like types, functions, conditions, loops, and lists, with examples of string manipulation and list operations.

Covers matrix operations in Python, focusing on multiplication and identity matrix generation.

Explains the binary search algorithm using two pointers to efficiently search a sorted list.

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

Introduces social network analysis through Python code modeling friendship relations.

Introduces Python programming basics, covering loops, functions, lists, and conditions for code execution.

Covers the implementation of a Parallelogram class in Python.

Covers the analysis of various oil spill events worldwide using Python.

Covers the analysis of oil spill events and demonstrates how to filter and analyze data for insights.

Explores modeling complex types like a Cylinder object in Python using classes and methods.

Introduces image processing basics in Python, covering manipulation, grayscale conversion, edge detection, and convolution with kernels.

Covers the basics of image processing and implementing seam carving algorithms for image resizing.

Introduces Python basics, functions, lists, and lambda functions for concise coding.

Covers functional programming concepts in Python, showcasing filtering lists based on specific criteria.

Covers text processing techniques using Python code for counting, sorting, and analyzing text data.

Focuses on analyzing a car dataset, extracting key information, and printing car details.

Explores car data analysis in Python using the ICC workspace and covers reading, processing, and analyzing car information.

Explores car data analysis using Python programming for tasks like file handling, dictionary creation, and attribute analysis.

Explores threads in programming, shared data challenges, locks, and thread management in graphical interfaces and web applications.