Knudson, Christina portrait

Knudson, Christina

Assistant Professor
Office
OSS 222
Phone
(651) 962-5521
Fax
651-962-5670
Mail
OSS 201

Spring 2018 Courses

Spring 2018 Courses
Course - Section Title Days Time Location
STAT 314 - 01 Mathematical Statistics M - W - - - - 1525 - 1700 OSS 226

Days of Week:

M - W - - - -

Time of Day:

1525 - 1700

Location:

OSS 226

Course Registration Number:

21077 (View in ClassFinder)

Credit Hours:

4 Credit Hours

Instructor:

Christina P. Knudson

Populations and random sampling; sampling distributions. Theory of statistical estimation; criteria and methods of point and interval estimation. Theory of testing statistical hypotheses; non-parametric methods. Offered in fall semester. Prerequisite: MATH 240 and 313 NOTE: Students who recieve credit for MATH 314 may not recieve credit for MATH 303.

Schedule Details

Location Time Day(s)
STAT 333 - D01 Applied Statistical Methods - T - R - - - 0955 - 1135 OSS 227

Days of Week:

- T - R - - -

Time of Day:

0955 - 1135

Location:

OSS 227

Course Registration Number:

20702 (View in ClassFinder)

Credit Hours:

4 Credit Hours

Instructor:

Christina P. Knudson

Regression and exponential smoothing methods; Stochastic Time Series: auto- and cross-correlation, autoregressive moving average models; application to forecasting. Prerequisites: MATH 303 or 314 or STAT 314 or permission of instructor

Schedule Details

Location Time Day(s)
STAT 333 - D02 Applied Statistical Methods - T - R - - - 1330 - 1510 OSS 227

Days of Week:

- T - R - - -

Time of Day:

1330 - 1510

Location:

OSS 227

Course Registration Number:

21092 (View in ClassFinder)

Credit Hours:

4 Credit Hours

Instructor:

Christina P. Knudson

Regression and exponential smoothing methods; Stochastic Time Series: auto- and cross-correlation, autoregressive moving average models; application to forecasting. Prerequisites: MATH 303 or 314 or STAT 314 or permission of instructor

Schedule Details

Location Time Day(s)
STAT 460 - 03 Statistical Research/Practicum - - - - - - - -

Days of Week:

- - - - - - -

Time of Day:

-

Location:

Course Registration Number:

23035 (View in ClassFinder)

Credit Hours:

4 Credit Hours

Instructor:

Christina P. Knudson

Students will work individually with the instructor to identify a statistical research topic of current interest or to identify a real practical problem, for which statistics can be used to produce a feasible solution. State and local governments, companies, businesses, TV channels, or even faculty doing research should be the natural source of real practical problems to be solved. For either the research or the practical problem, the final outcome should be a report with publication potential.

Schedule Details

Location Time Day(s)

Summer 2018 Courses

Summer 2018 Courses
Course - Section Title Days Time Location

Fall 2018 Courses

Fall 2018 Courses
Course - Section Title Days Time Location
STAT 314 - 01 Mathematical Statistics - T - R - - - 1330 - 1510 OSS 227

Days of Week:

- T - R - - -

Time of Day:

1330 - 1510

Location:

OSS 227

Course Registration Number:

40874 (View in ClassFinder)

Credit Hours:

4 Credit Hours

Instructor:

Christina P. Knudson

Populations and random sampling; sampling distributions. Theory of statistical estimation; criteria and methods of point and interval estimation. Theory of testing statistical hypotheses; non-parametric methods. Offered in fall semester. Prerequisite: MATH 240 and 313 NOTE: Students who recieve credit for MATH 314 may not recieve credit for MATH 303.

Schedule Details

Location Time Day(s)
STAT 314 - 02 Mathematical Statistics - T - R - - - 1525 - 1700 OSS 227

Days of Week:

- T - R - - -

Time of Day:

1525 - 1700

Location:

OSS 227

Course Registration Number:

41121 (View in ClassFinder)

Credit Hours:

4 Credit Hours

Instructor:

Christina P. Knudson

Populations and random sampling; sampling distributions. Theory of statistical estimation; criteria and methods of point and interval estimation. Theory of testing statistical hypotheses; non-parametric methods. Offered in fall semester. Prerequisite: MATH 240 and 313 NOTE: Students who recieve credit for MATH 314 may not recieve credit for MATH 303.

Schedule Details

Location Time Day(s)