ECON 895: Special Topics in Economics

ECON 895-012: Practical Computationl Methods
(Fall 2018)

03:00 PM to 04:15 PM TR

Innovation Hall 129

Section Information for Fall 2018

Prerequisite: Introductory Microeconomics

Course Description: The field of economics is becoming increasingly computational.
This means if you want to be competitive in the job market you must learn how to think
in terms of computational algorithms and be able to program your algorithms on a computer.  In this course, you will learn how to program economic systems in mTree using a ubiquitous, general purpose, programming language called Python.  You will also learn how to use the scientific programming stack, consisting of numpy, sympy, pandas, matplotlib, seaborn, scipy, and statsmodels to study agent based models of risk preferences and sequential decision making under uncertainty.  This course assumes you have no previous programming experience.    

View 10 Other Sections of this Course in this Semester »

Course Information from the University Catalog

Credits: 3

Topics vary according to interests of instructor. Emphasizes new areas of discipline. May be repeated within the term.
Specialized Designation: Topic Varies
Registration Restrictions:

Enrollment limited to students with a class of Advanced to Candidacy, Graduate or Non-Degree.

Enrollment is limited to Graduate level students.

Schedule Type: Lec/Sem #1, Lec/Sem #2, Lec/Sem #3, Lec/Sem #4, Lec/Sem #5, Lec/Sem #6, Lec/Sem #7, Lec/Sem #8, Lec/Sem #9, Lecture, Sem/Lec #10, Sem/Lec #11, Sem/Lec #12, Sem/Lec #13, Sem/Lec #14, Sem/Lec #15, Sem/Lec #16, Sem/Lec #17, Sem/Lec #18
Grading:
This course is graded on the Graduate Regular scale.

The University Catalog is the authoritative source for information on courses. The Schedule of Classes is the authoritative source for information on classes scheduled for this semester. See the Schedule for the most up-to-date information and see Patriot web to register for classes.