Luz Saavedra portrait

Luz Saavedra

Associate Professor
Degree
B.A., Universidad del Valle (Colombia)
M.S., Ph.D., University of Illinois
Office
OEC 430
Hours
Tuesday and Wednesday Noon to 1:00pm or by appointment
Phone
(651) 962-5683
Toll Free
(800) 328-6819, Ext. 2-5683
Fax
(651) 962-5682
Mail
Mail 4207
2115 Summit Avenue
Saint Paul, MN 55105

At St. Thomas since 2001

Public economics, urban economics, applied economics

Fall 2018 Courses

Fall 2018 Courses
Course - Section Title Days Time Location
ECON 252 - L13 Prin of Microeconomics - T - R - - - 0955 - 1135 OEC 311

Days of Week:

- T - R - - -

Time of Day:

0955 - 1135

Location:

OEC 311

Course Registration Number:

41854 (View in ClassFinder)

Credit Hours:

4 Credit Hours

Instructor:

Luz A. Saavedra

An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. This course fulfills the Social Analysis requirement in the core curriculum. Prerequisites: Placement at Math 101 or above, or successful completion of Math 005.

Schedule Details

Location Time Day(s)
ECON 252 - L14 Prin of Microeconomics - T - R - - - 1330 - 1510 OEC 311

Days of Week:

- T - R - - -

Time of Day:

1330 - 1510

Location:

OEC 311

Course Registration Number:

42797 (View in ClassFinder)

Credit Hours:

4 Credit Hours

Instructor:

Luz A. Saavedra

An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. This course fulfills the Social Analysis requirement in the core curriculum. Prerequisites: Placement at Math 101 or above, or successful completion of Math 005.

Schedule Details

Location Time Day(s)
ECON 311 - L02 Forecasting - T - R - - - 0800 - 0940 OEC 449

Days of Week:

- T - R - - -

Time of Day:

0800 - 0940

Location:

OEC 449

Course Registration Number:

41296 (View in ClassFinder)

Credit Hours:

4 Credit Hours

Instructor:

Luz A. Saavedra

An introduction to techniques used in forecasting with emphasis on analyzing economic and business data. The emphasis is on timeseries data, although cross-sectional analysis is also covered. Techniques presented include variants of moving averages, variants of exponential smoothing, regression and ARIMA processes. Prerequisites: ECON 251, 252 and STAT 220 (QMCS 220 or IDTH 220)

Schedule Details

Location Time Day(s)

J-Term 2019 Courses

J-Term 2019 Courses
Course - Section Title Days Time Location
ECON 311 - L01 Forecasting - T W R F - - 0900 - 1200 OEC 449

Days of Week:

- T W R F - -

Time of Day:

0900 - 1200

Location:

OEC 449

Course Registration Number:

10140 (View in ClassFinder)

Credit Hours:

4 Credit Hours

Instructor:

Luz A. Saavedra

An introduction to techniques used in forecasting with emphasis on analyzing economic and business data. The emphasis is on timeseries data, although cross-sectional analysis is also covered. Techniques presented include variants of moving averages, variants of exponential smoothing, regression and ARIMA processes. Prerequisites: ECON 251, 252 and STAT 220 (QMCS 220 or IDTH 220)

Schedule Details

Location Time Day(s)

Spring 2019 Courses

Spring 2019 Courses
Course - Section Title Days Time Location
ECON 311 - L01 Forecasting M - W - F - - 0815 - 0920 OEC 449

Days of Week:

M - W - F - -

Time of Day:

0815 - 0920

Location:

OEC 449

Course Registration Number:

21270 (View in ClassFinder)

Credit Hours:

4 Credit Hours

Instructor:

Luz A. Saavedra

An introduction to techniques used in forecasting with emphasis on analyzing economic and business data. The emphasis is on timeseries data, although cross-sectional analysis is also covered. Techniques presented include variants of moving averages, variants of exponential smoothing, regression and ARIMA processes. Prerequisites: ECON 251, 252 and STAT 220 (QMCS 220 or IDTH 220)

Schedule Details

Location Time Day(s)
ECON 311 - L02 Forecasting M - W - F - - 0935 - 1040 OEC 449

Days of Week:

M - W - F - -

Time of Day:

0935 - 1040

Location:

OEC 449

Course Registration Number:

20993 (View in ClassFinder)

Credit Hours:

4 Credit Hours

Instructor:

Luz A. Saavedra

An introduction to techniques used in forecasting with emphasis on analyzing economic and business data. The emphasis is on timeseries data, although cross-sectional analysis is also covered. Techniques presented include variants of moving averages, variants of exponential smoothing, regression and ARIMA processes. Prerequisites: ECON 251, 252 and STAT 220 (QMCS 220 or IDTH 220)

Schedule Details

Location Time Day(s)
ECON 315 - D01 Introduction to Econometrics M - W - F - - 1215 - 1320 OEC 449

Days of Week:

M - W - F - -

Time of Day:

1215 - 1320

Location:

OEC 449

Course Registration Number:

20062 (View in ClassFinder)

Credit Hours:

4 Credit Hours

Instructor:

Luz A. Saavedra

An introduction to the application of statistical models and methods to economic problems; simple and multiple linear regression models; generalized least-squares; model building and related topics. Emphasis is on use of econometric software to analyze data and to test hypotheses. Prerequisites: Eight credits of Economics at the 300- or 400-level plus STAT 220 or MATH 303

Schedule Details

Location Time Day(s)