5 Classes (51 Units)

6.0001 (6), 15.0341 (9), 15.079 (12), 17.40 (12), 21G.701 (12)

Pre-Register


6.0001 Introduction to Computer Science Programming in Python

Class Info

Introduction to computer science and programming for students with little or no programming experience. Students develop skills to program and use computational techniques to solve problems. Topics include the notion of computation, Python, simple algorithms and data structures, testing and debugging, and algorithmic complexity. Combination of 6.0001 and 6.0002 counts as REST subject. Final given in the seventh week of the term.

This class has no prerequisites.

6.0001 will be offered this semester (Fall 2017). It is instructed by J. V. Guttag.

Lecture occurs 3:00 PM to 4:30 PM on Mondays and Wednesdays in 26-100.

This class counts for a total of 6 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+6.0001&btnG=Google+Search&inurl=https site or on the 6.0001 Stellar site.

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15.0341 Metrics for Managers

Class Info

Enables students to evaluate the quality of evidence supported by data and to implement an empirical toolkit that provides credible answers to questions in finance, marketing, human resources, strategy, and general business planning. Uses econometrics as the underlying framework to develop deep understanding of regression modelling and its insights for data analytics using big and small data. Focuses primarily on empirical work conducted by students via in-class labs, problem sets, and projects. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

This class has no prerequisites.

15.0341 will be offered this semester (Fall 2017). It is instructed by J. Doyle and R. Rigobon.

This class counts for a total of 9 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+15.0341&btnG=Google+Search&inurl=https site.

MIT 15.0341 Metrics for Managers Related Textbooks

15.079 Introduction to Applied Probability

Class Info

Presents probability from the perspective of applied mathematics, with strong emphasis on an intuitive overview of key theorems and continuing demonstrations of their usefulness. Covers the laws of probability and numerous important discrete and continuous random variables, both individually and in combination. Introduces simulation. Draws applications from economics, finance, engineering, marketing, public policy, operations management, and operations research. Meets with 15.0791 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

This class has no prerequisites.

15.079 will be offered this semester (Fall 2017). It is instructed by A. Barnett and R. Larson.

This class counts for a total of 12 credits. This is a graduate-level class.

You can find more information at the 15.079 Class Site site.

MIT 15.079 Introduction to Applied Probability Related Textbooks
MIT 15.079 Introduction to Applied Probability On The Web

17.40 American Foreign Policy: Past, Present, and Future

Class Info

Reasons for America's past wars and interventions. Consequences of American policies. Evaluation of these consequences for the US and the world. History covered includes World Wars I and II, the Korean and Indochina wars, the Cuban Missile Crisis and current conflicts, including those in in Iraq and Afghanistan, and against al Qaeda.

This class has no prerequisites.

17.40 will be offered this semester (Fall 2017). It is instructed by S. Van Evera.

Lecture occurs 11:00 AM to 12:00 PM on Tuesdays and Thursdays in 4-163.

This class counts for a total of 12 credits. This class counts as a HASS S. This class counts as a CI-H.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+17.40&btnG=Google+Search&inurl=https site or on the 17.40 Stellar site.

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21G.701 Spanish I

Class Info

For students with no previous knowledge of Spanish. Introduction to understanding, speaking, reading, and writing Spanish. Maximal use of fundamentals of grammar in active communication. Audio- and video-based language laboratory program coordinated with and supplemented to class work. For graduate credit see 21G.751. Limited to 18 per section.

This class has no prerequisites.

21G.701 will be offered this semester (Fall 2017). It is instructed by Consult L. Soto.

Lecture occurs 9:00 AM to 10:00 AM on Mondays, Tuesdays, Wednesdays and Thursdays in 16-668.

This class counts for a total of 12 credits. This class counts as a HASS H.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+21G.701&btnG=Google+Search&inurl=https site or on the 21G.701 Stellar site.

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MIT 21G.701 Spanish I Related Textbooks

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