Economics

BIOL 323: Biostatistics and Experimental Design ECON 227: Statistics for Business and Economics MATH 141: Math Modeling: Statistics (note that Math majors may replace MATH 141 with MATH 325: Mathematical Statistics) PSYC 227: Statistics 4) CS 377/DASC 377–Applied Data Analysis 5) DASC 395 Directed Study: Data Science Capstone The following approved substitutions may count toward the minor if any of the five required courses are counted toward a student’s major: CS 314: Database Systems ECON 328: Applied Econometrics ECON 338: Time Series Analysis MATH 215: Linear Algebra MATH 403: Computational Data Analysis Students pursuing a minor in Data Science should consider the following:

Though there are three options for satisfying the introductory course requirement, students who have not already taken CS 126 or CS 127 should enroll in CS/ DASC 125, as it is the most relevant to the minor.

Students pursuing a Data Science minor should seek to take courses in their major and/or area of interest that involve the collection, analysis, or other use of data. More exposure to the use of data within their field will provide more opportunities to identify connections to Data Science and to develop ideas for a capstone project.

Certificate Sequence in Data Analytics:

A minimum of three courses to include: 1) CS 125/DS 125–Introduction to Computer and Data Sciences 2) One statistic course from the list: BIOL 323: Biostatistics and Experimental Design ECON 227: Statistics for Business and Economics PSYC 227: Statistics Math 141: Math Modeling: Statistics* * note that Math majors may replace MATH 141 with MATH 325: Mathematical Statistics 3) DS 225: Data Analytics with Visualization The following approved substitutions may count toward the certificate if any of the courses are counted toward a student’s major: CS 314: Database Systems DS 377: Applied Data Analysis ECON 328: Applied Econometrics ECON 338: Time Series Analysis MATH 215: Linear Algebra MATH 403: Computational Data Analysis

125 Introduction to Computer and Data Sciences (FR) (Cross-listed with CS 125)

Computer Science, broadly, studies how to solve problems using computers. Data science is a related field that focuses on acquiring, cleaning, and exploring data, via visualization and statistical analysis, to aid decision making. This course introduces the fundamental skill of computer science, programming, using data science examples and applications.

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Data Science and Analytics

Students may not take CS 126 or CS 127 for credit after successful completion of CS/DASC 125. No prerequisites. Offered each fall. 225 Data Analytics with Visualization This course introduces advanced concepts and tools relevant to data cleaning, organization, and transformation. It further develops skills and knowledge about identifying and applying appropriate statistical tools to answer data-driven questions and provides advanced treatment of ethical issues involved in data analytical work. Students are also exposed to specific software commonly used in data analystics, such as databases for storing and retrieving data and software for creating static and interactive reports from analysis results. Prerequisites: CS/DS 125, BIOL 209, ECON 227, MATH 141, MATH 325, or PSYC 227. Offered every other year. 377 Applied Data Analysis (Cross-listed with CS 377) This course further develops the programming, mathematical, and statistical skills required for the application of data science tools to data analysis, data visualization, and decision making. This course includes a methodology/writing component in which students develop a draft research proposal for a capstone project. Prerequisites: CS/DASC 125, CS 126, or CS 127; CS/ MATH 136 or DASC 225; BIOL 323, ECON 227, MATH 141, MATH 325, or PSYC 227. Offered in alternate years. 395 Directed Study: Data Science Capstone Individual directed study to complete a capstone project. Requires an approved proposal for a substantial project that applies data science techniques to gather, clean, analyze, visualize, and make inferences with data. Project culminates in written and oral reports. Prerequisites: CS/DASC 377 and approval of the program director. Offered as needed.

ECONOMICS

Marvin, Brün, Nguyen, Rushlow

The overarching goal of the economics program is to develop analytical thinking skills that are of value to any student preparing for a career and responsible citizenship, regardless of major. The economics major provides students with training for diverse careers, in business, finance, government, and social services. Majors also pursue graduate study in economics, business, law, and other specialized fields.

The Department of Economics offers an intellectually challenging major program which addresses socially relevant issues and gives students many opportunities to apply what they learn. Topics covered in elective courses range from international trade and finance to the environment. All economics majors complete an original research project in the capstone Senior Project course and many choose to participate in independent study under the supervision of a professor. Many economics students also complete internships. In addition, students have the opportunity to participate in activities of the student-led Economics Society, the publication of a unique undergraduate economics journal, The Park Place Economist, and the publication of an online journal, The Undergraduate Economic Review.

For additional information, see the department web page at:

www.iwu.edu/economics. Major Sequence in Economics:

A minimum of 10 courses to include: 1) Economics 100, 227, 301, 302, and 401. 2) Five additional Economics courses, at least four at the 300 level or above.

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Economics

Majors are also required to take the calculus course Mathematics 176, or show equivalent proficiency. The department also offers students the option to complete one of two concentrations in the economics major: financial economics or international economics. Each concentration requires the completion of five core courses: Economics 100, 227, 301, 302, and 401, and five electives in the discipline as follows:

Financial Economics Concentration:

1) Three courses from Economics 311, 328 338, or 352. 2) Two additional economics courses, at least one at the 300 level or above.

International Economics Concentration:

1) Economics 351, 352, and 355. 2) Two additional economics courses, at least one at the 300 level or above.

Minor Sequence in Economics:

A minimum of six courses to include: 1) Economics 100, 301, 302. 2) Three additional economics courses, at least two at the 300 level or above.

Economics 227 does not count towards the minor. The department also offers students the opportunity to complete one of two other economics minors: financial economics or international economics. Each minor requires the completion of three core courses: Economics 100, 301, and 302, and three electives in the discipline as follows:

Minor Sequence in Financial Economics:

Three courses from Economics 311, 328 338, or 352.

Minor Sequence in International Economics:

Economics 351, 352, and 355.

All courses in the major and minor sequences should be taken at Illinois Wesleyan University. Any exceptions are subject to the approval of the Department of Economics.

Credit by Examination

Credit towards Economics 100, Introduction to Economics, is granted for either: a) Advanced Placement (AP) examinations with scores of 4 or 5 on both the Microeconomics and Macroeconomics tests

or

b) An International Baccalaureate (IB) Economics Higher Level (HL) examination with a score of 6 or 7

or

c) A Cambridge A-Level Economics examination with a score of A*, A, or B. Students in the major can show the required calculus proficiency through either: a) Advanced Placement (AP) examinations with scores of 4 or 5 on either the Calculus AB test or Calculus BC test

or

b) International Baccalaureate (IB) examinations with scores of 6 or 7 on the Mathematics Higher Lever (HL) test.

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Economics