2022-2023 Course List

Interpretation and implementation of psychological reports, formative and summative assessment data, enabling incorporation of relevant information/data into an evaluation report. Applied practical understanding, development, usage, and interpreation of information assessment tools determining identification and instructional design.

Pedagogy for teaching students with mild to severe learning disabilities with an understanding of instructional theories and trends. Applications include sequences/adaptations of instruction/curriculum, technology integration, collaborative techniques, and metacognitive strategies. Focus is in reading, written language, and mathematics.

Field experiences in off-campus programs providing services to students with learning disabilities. Designed to professionalize the educational experience and ensure license standards competency. Must be taken with SPED 649.

This course will provide students with foundational background knowledge of developmental disabilities, and characteristics and assessments associated with students with developmental disabilities. Topics covered will include: characteristics, historical perspectives, identification and assessment, family perspectives, learning characteristics and educational models.

This course addresses curricular approaches, instructional strategies, inclusion techniques, adaptive techniques, assistive technology, behavior techniques, and other specialized interventions needed to serve students with moderate to severe developmental and multiple disabilities effectively.

Student teaching is designed to provide graduate students an opportunity to demonstrate the knowledge and skills learned in their coursework and demonstrate the knowledge and skills needed to effectively teach students with developmental cognitive disabilities in a classroom setting.

This is an accompanying course for initial licensure Special Education teacher candidates in the areas of ASD, DCD, EBD, LD, and ECSE.

The purpose of this course is the effective applications of procedures for teaching students with emotional/behavioral disorders in school settings. Students will build individual programs through the use of Functional Behavioral Assessments focusing on Positive Behavioral Supports.

This course is an accompanying course for all advanced licensure Special Education teacher candidates.

This graduate course is designed to assist educators to develop knowledge of the due process requirements outlined in Minnesota Rule and Statute as well as a working understanding of federal special education law under the Individuals with Disabilities Act (IDEA) and Section 504 of the Rehabilitation Act. Understanding the requirement of due process and federal special education law is critical in today's schools, both for teachers as well as administrators.

Field experience in off-campus programs providing services to student with learning disabilities. Designed to professionalize the educational experience and ensure license standards competency. Must be taken with SPED 658.

Field experience in off-campus programs providing services to student with mild/moderate disabilities.. Designed to professionalize the educational experience and ensure license standards competency.

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This course will focus primarily on educational program development for children with autism. Students will learn to build visual schedules and write social stories to affect the behavior of students with autism. Students will learn the importance of individualized program development and legal issues surrounding appropriate programming.

One of 4 required courses for the certificate in ASD. This class will focus on current stressors affecting teachers, caregivers, and family members dealing with issues related to Autism.

Field experience with students with autism spectrum disorders. Designed to professionalize educational experience and ensure license standards competency. Take with SPED 656 (initial) or 659 (add-on license). All course work related to special education must be completed. Professor permission required.

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Designed to assist student in preparation of their capstone project as part of their graduation requirements. In this experience, students receive one-on-one contact with their advisor.

An introduction to statistical concepts and methods that is applicable to all disciplines. Topics include descriptive measures of data, probability and probability distributions, statistical inference, tests of hypotheses, confidence intervals, correlation, linear regression, and analysis of variance. The use of statistical software will be emphasized. Prereq: ACT Math sub-score of 19 or higher, successful completion of MATH 098 or appropriate placement scores (see Placement Information under Statistics) Fall, Spring, Summer GE-4

Prerequisites:

Satisfy Placement Table in this section, or MATH 098 with grade of P. 

Goal Areas:

GE-02, GE-04

An introduction to statistics with emphasis on the applied probability models used in Science and Engineering. Topics covered include samples, probability, probability distributions, estimation, one and two samples hypotheses tests, correlation, simple and multiple linear regressions.

Prerequisites:

MATH 112 with grade of “C” (2.0) or better 

A calculus based introduction to probability and statistics. Topics include probability, random variables, probability distributions (discrete and continuous), joint probability distributions (discrete and continuous), statistical inference (both estimation and hypothesis testing), confidence intervals for distribution of parameters and their functions, sample size determinations, analysis of variance, regression, and correlation. This course meets the needs of the practitioner and the person who plans further study in statistics. Same as MATH 354. Prereq: MATH 122 with C or better or consent Fall, Spring, Summer

Prerequisites:

MATH 122 with C or better or consent 

Introduction to basic programming techniques: creating DATA and PROC statements, libraries, functions, programming syntax, and formats. Descriptive and Inferential statistics in SAS. Emphasis is placed on using these tools for statistical analyses. Working with arrays, loop and SAS macro.

Prerequisites:

STAT 154 or instructor’s approval

Curricular Practical Training: Co-Operative Experience is a zero-credit full-time practical training experience for one semester and an adjacent fall or spring term. Special rules apply to preserve full-time student status. Please contact an advisor in your program for complete information.

Prerequisites:

At least 60 credits earned; in good standing; instructor permission; co-op contract; other prerequisites may also apply.

Simple and multiple linear regression, model adequacy checking and validation, identification of outliers, leverage and influence, polynomial regression, variable selection and model building strategies, nonlinear regression, and generalized linear regression.

Prerequisites:

MATH 354 / STAT 354 or STAT 455 with “C” (2.0) or better or consent