This course is a graduate level introduction to automatic discourse processing. The emphasis will be on methods and models that have applicability to natural language and speech processing. The class will cover the following topics: discourse structure, models of coherence and cohesion, plan recognition algorithms, and text segmentation. We will study symbolic as well as machine learning methods for discourse analysis. We will also discuss the use of these methods in a variety of applications ranging from dialogue systems to automatic essay writing. This subject qualifies as an Artificial Intelligence and Applications concentration subject.

Introduction to computer graphics hardware, algorithms, and software. Topics include: line generators, affine transformations, line and polygon clipping, splines, interactive techniques, perspective projection, solid modeling, hidden surface algorithms, lighting models, shading, and animation. Substantial programming experience required. 6.837 offers an introduction to computer graphics hardware, algorithms, and software. Topics include: line generators, affine transformations, line and polygon clipping, splines, interactive techniques, perspective projection, solid modeling, hidden surface algorithms, lighting models, shading, and animation. Substantial programming experience is required.

Computer Histories is an introductory course on the history of computing that explores the questions 1) What is the history of computing? 2) What is the future of computing? and 3) What lessons can we learn from computing's past that will help guide us in determining computing's future?

This course analyzes issues associated with the implementation of higher-level programming languages. Topics covered include: fundamental concepts, functions, and structures of compilers, the interaction of theory and practice, and using tools in building software. The course includes a multi-person project on compiler design and implementation.

Computer Networking: Principles, Protocols, and Practice was written and submitted to the Open Textbook Challenge by Dr. Olivier Bonaventure of the UniversitĄ_偀ŕ catholique de Louvain (UCL) in Louvain-la-Neuve, Belgium. He also serves as the Education Director of ACM SIGCOMM. Computer Networking has already been used by several universities around the world, including UCL.

Topics on the engineering and analysis of network protocols and architecture, including: architectural principles for designing heterogeneous networks; congestion control; unicast and multicast routing; wireless and mobile networking; network quality of service; router design; network security; streaming and multicast applications; naming; content distribution; and peer-to-peer networking. Readings from original research papers, industry white papers, and Internet RFCs. Semester-long project and paper.

This lesson compares iterative and recursive factorial functions. [Computer Programming playlist: 13 of 23]

This lesson shows how to define a function in Python. [Computer Programming playlist: 10 of 23]

This lesson will help you learn about variable scope and function calls in Python. [Computer Programming playlist: 11 of 23]

This lesson is an introduction to the fibonacci Sequence and a programming challenge. [Computer Programming playlist: 14 of 23]

This lesson is a challenge to write a Python function that can sort in list in-place. [Computer Programming playlist: 19 of 23]

This lesson shows a flowchart for the factorial program. [Computer Programming playlist: 8 of 23]

This lesson discusses 'for loops' in Python. [Computer Programming playlist: 3 of 23]

This lesson shows how to experiment and see what can be done with strings in Python programming. [Computer Programming playlist: 5 of 23]

This is a visual description of the insertion sort algorithm. [Computer Programming playlist: 20 of 23]

This lesson demonstrates implementation of the insertion sort algorithm. [Computer Programming playlist: 21 of 23]

This lesson introduces computer programming within a Python environment. [Computer Programming playlist: 1 of 23]

This lessons shows how to write a Fibonacci function iteratively. [Computer Programming playlist: 15 of 23]

This lesson explains why the example program would not run in Python 3 and how to fix it. [Computer Programming playlist: 9 of 23]

This lesson talks about the basics of lists in Python. [Computer Programming playlist: 2 of 23]