Study and discussion of computational approaches and algorithms for contemporary problems in …
Study and discussion of computational approaches and algorithms for contemporary problems in functional genomics. Topics include DNA chip design, experimental data normalization, expression data representation standards, proteomics, gene clustering, self-organizing maps, Boolean networks, statistical graph models, Bayesian network models, continuous dynamic models, statistical metrics for model validation, model elaboration, experiment planning, and the computational complexity of functional genomics problems.
This course is a graduate level introduction to automatic discourse processing. The …
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.
In this lesson, students will learn the steps involved in computational thinking. …
In this lesson, students will learn the steps involved in computational thinking. Decomposition, pattern matching, abstraction, and algorithms are all steps that make up the computational thinking process. This process is used in many learning subjects and in real-life learning. Learners discover how understanding each step can help them as a learner and also nurture a growth mindset.
This website has free, in-depth Excel tutorials which people can learn from, …
This website has free, in-depth Excel tutorials which people can learn from, especially beginner and intermediate Excel users. Many of the tutorials also have a simple exercise so people can understand what they have learned from the tutorials more practically.
This course analyzes issues associated with the implementation of higher-level programming languages. …
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 …
Computer Networking: Principles, Protocols, and Practice was written and submitted to the Open Textbook Challenge by Dr. Olivier Bonaventure of the UniversitĄ_ĺŕ 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: …
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.
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