Description
Big data is one of those emerging technologies that nowadays appear in almost every novel scientific and industrial work associated with the data science and applied scalable analytics. It provides a massive scalability to the analytics including machine learning approaches as well. Furthermore, scalable machine learning algorithms such as Apache Mahout have been developed on top of big data using MapReduce and Hadoop. According to the Garner hype cycle of 2016, most of emerging technologies of the next 10 years rely on innovations made by big data technologies. [ Big Data seminar ]This course is organized by Asst. Prof. Dr. Mahdi Bohlouli, Aparup khatua, Mohammad H Nazeri and, Amir Reza Mohammadi. Teaching assistants for constructing material for extra hands-on classes are Arya, Navid, Sepideh and , Solmaz. This course deepens the students' knowledge through providing an introduction to big data analysis, MapReduce, Hadoop Distributed File System and a deep dive to Apache Spark and its coresponding stack of libraries like SparkML and SparkSQL. The Course consists of theoretical, practical (research), hands-on assignments and, capstone project. The theoretical part will be the first 7 weeks of the course, continued by Apache Spark tutorial by Amir Reza Mohammadi and Mohammad H Nazeri. There may be a need for some implementation exercises in the practical part.
General Information
No information, yet. Stay tuned!
| Name | Office Hours | |
|---|---|---|
Mohammad | When? Where? | |
Amir Reza | When? Where? | |
Mahdi Bohlouli | When? Where? | |
Navid Khalili | When? Where? | |
Arya | When? Where? | |
Sepide Bahrami | When? Where? | |
Solmaz Mohamadi | When? Where? | |
Morteza Abedi | When? Where? | |
Farideh Saadati | When? Where? |