Massive Open Online Courses (MOOCs) - M.Tech

It is one of the most amazing innovations in online learning over the past few years has been the growth and development of Massive Open Online Courses, better known as MOOCs. These courses (MOOCs) are the future of Quality Enhancement in Engineering Education (QEEE) and improve self-learning.

Generally speaking, MOOCs are college-level courses made available, free of charge or with nominal charges. At IARE, MOOCs are often offered from highly prestigious colleges and universities like Harvard, Stanford and, most predominantly, MIT, and taught by the same professors and instructors that teach them on their famous campuses and by a variety of private providers.

The students admitted under Autonomous status in M.Tech I Semester are required to complete one MOOC course by the end of the semester. Below you will find the course titles and links to some of the most popular MOOCs offered for M.Tech (CSE) I semester during academic year 2016 - 2017:

Course Details

MOOC procedure Edureka
Starting Date /Duration 29th October 2016/35 Days
Website http://www.edureka.co/python
Course Description This course will cover both basic and advance concepts of Python like writing python scripts, sequence and file operations in python, Machine Learning in Python, Web Scraping, Map Reduce in Python, Hadoop Streaming, Python UDF for Pig and Hive. You will also go through important and most widely used packages like pydoop, pandas, scikit, numpyscipy etc.
MOOC procedure Edureka
Starting Date /Duration 5th November 2016/ 42 days
Website http://www.edureka.co/Informatica
Course Description This course will introduce the participants to work with the Power Center. Developers can use Informatica to create, execute, as well as administer, monitor and schedule ETL processes and understand how these are used in data mining operations. The course will also cover Installation & Configuration of Informatica Power Center 9.X and basic Administration Activities. Participants will also get to implement one project towards the end of the course.
MOOC procedure Coursera
Conducting Institute Stanford University, The University of British Coloumbia
Instructor Prof. Kevin Leyton-Brown
Starting Date / Duration 7th November 2016/ 35 hours
MOOC procedure Coursera
Website https://www.coursera.org/learn/game-theory-1
Course Description This course is aimed at students, researchers, and practitioners who wish to understand more about strategic interactions. You must be comfortable with mathematical thinking and rigorous arguments. Relatively little specific math is required; but you should be familiar with basic probability theory (for example, you should know what a conditional probability is), and some very light calculus would be helpful.
MOOC procedure Coursera
Conducting Institute Wesleyan-university
Instructor Mr. Jennifer Rose, Mr. Lisa Dierker
Starting Date / Duration 25th November 2016/ 35 hours
Website https://www.mooc-list.com/course/machine-learning-data-Analysis-coursera
Course Description Machine learning is the process of developing, testing, and applying predictive algorithms and interpret machine learning algorithms .
MOOC procedure Coursera
Conducting Institute Johns Hopkins University
Instructor  Roger D. Peng 
Starting Date / Duration 31th October 2016/ 28 hours
Website https://www.coursera.org/learn/advanced-r
Course Description This course covers R programming that are necessary for developing powerful, robust, and reusable data science tools. Upon completing this course you will be able to identify and abstract common data analysis tasks and to encapsulate them in user-facing functions. You will also be able to define new data types in R and to develop a universe of functionality specific to those data types to enable cleaner execution of data science tasks and stronger reusability within a team.
MOOC procedure Coursera
Conducting Institute University of Virginia
Instructor Dr. Wayne Whiteman
Starting Date / Duration 31th October 2016(4 weeks of study, 2-4 hours/week)
Website https://www.coursera.org/specializations/agile-development
Course Description This course shows you how to integrate the practice of experimentation across concept testing, usability testing, functional testing, and continuous deployment.